ABSTRACT
This international, multidisciplinary consensus report represents the first effort to systematically define and characterize fatty pancreas. A key outcome of this endeavor was the recommendation to adopt “fatty pancreas” as the standardized and inclusive term to describe all forms of fat accumulation in the pancreas. This terminological consensus provides a critical foundation for unified reporting and clinical communication. Another major contribution of the report is the consensus on diagnostic imaging findings, which was based on radiological and endoscopic modalities. The proposed criteria aim to enhance consistency in clinical assessment and support the development of standardized research protocols. In addition to establishing terminology and diagnostic frameworks, the report also synthesizes current knowledge across a wide range of relevant domains. These include the etiology and epidemiology of fatty pancreas, as well as its associations with alcohol consumption, smoking, acute and chronic pancreatitis, pancreatic exocrine insufficiency, type 2 diabetes mellitus, and surgical outcomes. The potential links between fatty pancreas and neoplastic conditions such as intraductal papillary mucinous neoplasms and pancreatic cancer are also addressed, alongside the current understanding of its metabolic implications (beta‐cell function and glucose homeostasis) and treatment strategies. Throughout the consensus process, a consistent theme emerged: the limited availability of high‐quality, prospective clinical data. Therefore, many of the recommendations in this report are based on expert consensus rather than strong empirical evidence. As such, the statements require rigorous prospective validation before they can be adopted into routine clinical practice. This underscores a critical need for further research, particularly studies aimed at clarifying causal relationships, validating diagnostic tools, and determining the clinical relevance of fatty pancreas across diverse patient populations. This report serves as both a summary of our current understanding and a roadmap for future investigations, aiming to close existing knowledge gaps and guide evidence‐based clinical practice in this emerging field.
Keywords: acute pancreatitis, beta‐cell, chronic pancreatitis, diabetes mellitus, fatty, intraductal papillary mucinous neoplasms, metabolic syndrome, pancreas, pancreatic cancer, pancreatic exocrine insufficiency
Key Summary
-
Summarise the established knowledge on this subject?
-
◦
Fatty pancreas is associated with pancreatitis, metabolic disorders, and possible neoplastic changes.
-
◦
Multiple, inconsistent terms and definitions have historically been used, hindering unified clinical and research communication.
-
◦
Diagnosis relies on imaging, including radiological and endoscopic techniques, but lacks standardized criteria.
-
◦
The clinical impact and causal mechanisms of fatty pancreas remain uncertain due to limited prospective evidence.
-
◦
-
What are the significant and/or new findings of this study?
-
◦
Establishes “fatty pancreas” as the standardized, inclusive term for all forms of pancreatic fat accumulation.
-
◦
Provides consensus‐based diagnostic imaging findings utilizing radiological and endoscopic modalities.
-
◦
Integrates current evidence on etiology, epidemiology, associated conditions, metabolic effects, and treatment considerations for fatty pancreas.
-
◦
Identifies major research gaps and outlines priorities for future studies to clarify its clinical relevance and guide evidence‐based practice.
-
◦
1. Introduction
A fatty pancreas is characterized by the abnormal accumulation of fat within the pancreatic tissue [1, 2]. The concept of fat accumulation in the pancreas has been recognized since the early 20th century [3], although it was originally considered a largely pathological finding, mainly observed at autopsy. Advances in imaging techniques have allowed for the more widespread recognition of fatty pancreas, particularly in individuals with metabolic risk factors [1]. Historically, fatty pancreas was seen mainly as a pathological curiosity, but it has gained greater attention in recent years, especially due to its associations with metabolic diseases [1] and possible links to pancreatitis [4], and even pancreatic cancer [5]. Despite this growing awareness, the pathophysiology and long‐term consequences of fatty pancreas remain subjects of ongoing research. The nomenclature surrounding fatty pancreas, however, remains inconsistent, posing a significant challenge to both research and clinical practice [1, 2]. These challenges and gaps in understanding, particularly regarding nomenclature, diagnosis, associations with other diseases, management, and follow‐up, were the driving forces behind the development of this consensus report.
2. Methods
The development of this consensus report adhered to the UEG framework for the development of high‐quality clinical guidelines, as proposed by the UEG Quality of Care Taskforce [6].
2.1. Initiative and the Steering Committee
The initiative for the consensus report came from the European Pancreatic Club (EPC) at the 56th EPC Annual Meeting in Santiago de Compostela in June 2024. The Steering Committee was composed of two consensus report co‐chairs from the EPC (MV, IED), one senior member of the EPC Quality of Care and Guidelines Committee (PH), one council member of the EPC Quality of Care and Guidelines Committee (RV), the general secretary of the EPC (GC), the treasurer of the EPC (HW) and three EPC representatives of United European Gastroenterology (UEG)—the President (JML), Quality of Care Committee Chair (GM), and a Quality of Care Committee Member (LA). Members of the Steering Committee were selected based on their expertise in the field, ability to contribute to the work process, and their personal experience as effective team members familiar with the methodology of several previous guidelines [7, 8, 9, 10].
2.2. Participating Societies
The EPC invited other specialist member societies to join and endorse this project, with the aim of developing transversal international multidisciplinary consensus report to be adopted by all specialties. The following societies delegated participants and endorsed the project: EPC, American Pancreatic Association (APA), European Association for the Study of Diabetes (EASD), European Association for the Study of the Liver (EASL), European Society of Gastrointestinal and Abdominal Radiology (ESGAR), European Society of Gastrointestinal Endoscopy (ESGE), European Society of Pathology (ESP), European Society for Primary Care Gastroenterology (ESPCG), European Society for Clinical Nutrition and Metabolism (ESPEN), European Society for Pediatric Gastroenterology Hepatology and Nutrition (ESPGHAN), International Association of Pancreatology (IAP), Japan Pancreas Society (JPS), Korean Pancreatobiliary Association (KPBA), Latin American Pancreas Study group (LAPSG), and UEG (Table S1). Several patient associations also endorsed this project: Digestive Cancers Europe, Pancreatic Cancer Europe, Arbeitskreis der Pankreatektomierten e.V. (Germany), and PALEMA (Sweden).
2.3. Participants
All participants (n = 84) signed the Conflict of Interest Form (Supporting Information S1).
2.4. Statements, Grades of Evidence, and Outcome Reporting
The first meeting of the group was held online in January 2025. The working groups (Table S2) were finalized, and a leader responsible for each group (n = 16) was appointed. After the first meeting, each group performed a systematic review of the literature by searching PubMed, Web of Science, Cochrane, and Google Scholar (Supporting Information S2). The Steering Committee consulted experts in methodology and research synthesis, who were actively involved in all stages of the process. The statement format included the question, statement, Oxford level of evidence, the proportion of the global consensus group who agreed, and the comment in the final version. Statements were formulated in the context of the population/problem, intervention, comparison, and outcome (PICO) [11], where applicable. The PICO framework defines the population investigated, intervention in question, comparator for assessing an alternative option, and outcome(s) used to assess the intervention [6, 11]. The quality of evidence was appraised according to the Oxford Center for Evidence‐Based Medicine system, where the evidence was graded from 1 to 5, with 1 being the highest and 5 being the lowest [6, 12]. The Oxford Center for Evidence‐Based Medicine system was selected to grade the evidence and support the consensus statements, as it accommodates both empirical data and expert judgment in areas where high‐quality evidence is limited [12]. In cases where insufficient evidence was available to support a definitive position, the Oxford level of evidence was designated as “not applicable” (N/A). In such instances, consensus was based on the panel's collective judgment and the current state of knowledge, acknowledging gaps in the evidence base.
2.5. Delphi Process
Questions, statements, and related comments were uploaded to the Delphi online platform at the end of April 2025 and voted on in May 2025. All participants were given the opportunity to vote on and comment on every statement included in the report. Each statement was evaluated using a modified 5‐point Likert scale [13, 14], with the following response options: “strongly disagree,” “disagree,” “agree,” “strongly agree,” and “not qualified to respond.” The inclusion of the “not qualified to respond” option was intended to reflect the varied backgrounds of the participants and to ensure that responses were based on areas of individual expertise (such responses were excluded from the final consensus calculations). Participants were encouraged to provide written comments to support their responses or suggest refinements to the statements. All votes and accompanying feedback were reviewed by the coordinating group. A level of agreement, defined as the combined proportion of “agree” and “strongly agree” responses of 80% or higher, was considered to indicate consensus (consensus threshold was defined a priori). Although two iterative Delphi rounds were originally planned, with discussion and revision of statements between rounds, only a single voting round was conducted, as all statements reached consensus in the first round. The statements were discussed at the 57th EPC Annual Meeting in Düsseldorf, Germany, in July 2025, to ensure agreement and make minor adjustments (which were mostly related to language editing/phrasing). Following the consensus reached after the EPC 2025 and a final round of adjustments, the manuscript was finalized.
2.5.1. Chapter 1
Question: What is the appropriate term?
Statement 1: The most suitable and encompassing term to describe all forms of fat in the pancreas is “fatty pancreas,” and we recommend its adoption for general use.
Level of evidence: N/A ‐ this is a consensus‐based terminology decision, not a clinical question evaluated through evidence.
Consensus agreement: 87%
Comment: Since it was first described, more than a century ago, several synonyms for fat in the pancreas have been used in the literature [1, 2], including pancreatic lipomatosis [15], pancreatic steatosis [16], intrapancreatic fatty infiltration [17], fatty pancreas [2, 18], lipomatous pseudohypertrophy of the pancreas [19], non‐alcoholic fatty pancreas disease [20], intrapancreatic fat deposition [21], ectopic fat in the pancreas [22], fat deposition in the pancreas [23], fat replacement of the pancreas [24], adipose atrophy of the pancreas [25], pancreatic fat accumulation [26], and non‐alcoholic fatty steatopancreatitis [2]. After thorough discussion and consideration, we propose “fatty pancreas” as the most appropriate and universally acceptable term to describe the condition of fat within the pancreas. While the term “non‐alcoholic fatty pancreas disease” has gained some popularity, particularly due to its similarity to “non‐alcoholic fatty liver disease” within the context of metabolic syndrome, it is crucial to emphasize the significant differences between both organs and their respective pathological processes. These distinctions make it inappropriate to directly compare both diseases or to draw nomenclature inspiration from fatty liver disease. Another argument against the use of “non‐alcoholic fatty pancreas disease” is that it creates a nomenclature based on negations, which is generally undesirable in medical terminology. The term “non‐alcoholic” is a negative construction, which adds unnecessary complexity and does not accurately describe the nature of this specific pancreatic condition, which is distinct and unrelated to alcohol‐related damage. Furthermore, while there is a clear justification for the term “non‐alcoholic fatty liver disease” (recently changed to “metabolic dysfunction‐associated steatotic liver disease” [27]) ‐ due to the near‐identical histology observed in both alcoholic and non‐alcoholic liver steatosis; this similarity does not extend to the pancreas. The etiology and histopathology of fatty pancreas are described in questions and statements 2 and 5 of this consensus report, and we refer readers to those sections for a more comprehensive understanding of this specific topic.
2.5.2. Chapter 2
Question: What is the etiology of fatty pancreas?
Statement 2: Various factors, including aging, obesity, inflammation from diverse causes, genetic disorders, and chronic obstruction, contribute to a fatty pancreas. Multiple intra‐ and extra‐pancreatic cell types seem to have the potential to serve as precursors of intrapancreatic adipocytes.
Level of evidence: 4.
Consensus agreement: 89%
Comment: The etiology of fatty pancreas is multifactorial, involving processes such as aging, inflammation, fibrosis, and as a consequence of neoplasia [28]. Obesity is also a significant contributor to this condition, as excessive systemic lipid levels lead to an increase in both the number and size of adipocytes, which can infiltrate various organs, including the pancreas, potentially replacing normal pancreatic tissue [2, 15, 29]. A correlation with type 2 diabetes mellitus (DM) has been reported [30]. In patients with type 2 DM, liver fat export via very low‐density lipoprotein 1 (VLDL1)‐triglycerides influences pancreatic fat accumulation, a process that seems to be reversible upon diabetes remission [31]. Additionally, obstruction of the pancreatic duct (due to conditions such as malignancy or chronic pancreatitis) can lead to atrophy and fatty pancreas [32]. Cystic fibrosis also frequently leads to the fatty pancreas, a change that becomes more pronounced in older patients [33, 34]. In some rare inherited disorders, such as those involving mutations in carboxyl ester lipase (CEL), or syndromes like Johanson–Blizzard or Shwachman–Diamond, fat can accumulate in the pancreas without inflammatory processes, partly preceding clinical signs of impaired function [35, 36].
While lipid droplet accumulation has been observed in pancreatic exocrine and endocrine cells, most of these findings are primarily derived from animal models [37, 38, 39]. Physiologically, both adipocytes and lipid droplets play a role in maintaining cellular homeostasis by serving as energy reservoirs, and, for lipid droplets, by regulating intracellular lipid levels. However, disruptions in this balance may induce cytotoxic effects or promote inflammation [40]. Nonetheless, the precise cellular origin of intrapancreatic adipocytes remains unclear. Hypotheses for this include the transdifferentiation of exocrine pancreatic cells, differentiation of tissue‐resident stem cells, and infiltration by adipocyte precursors from external sources, such as peripancreatic fat [28, 36].
Recent animal studies utilizing high‐fat diet models, experimental pancreatitis, and various genetic manipulations targeting acinar and ductal cells involved in pancreatic morphogenesis have revealed different mechanisms of fatty pancreas alteration [28]. These findings suggest that multiple cell types may serve as precursors to intrapancreatic adipocytes. Generally, two distinct scenarios may underlie the development of a fatty pancreas: one that parallels measures of adiposity [41, 42], and the other resulting from exocrine pancreatic tissue loss [43]. A proposal for the classification of fatty pancreas by etiology is presented in Table 1.
TABLE 1.
Proposal for the classification of fatty pancreas by etiology.
| Metabolic causes | Anthropometric/anatomic causes | Common exocrine pancreatic diseases a | Rare genetic disorders |
|---|---|---|---|
|
Metabolic syndrome (all components) Metabolic dysfunction‐associated steatotic liver disease (MASLD) Adiposity |
Aging Sex hormones Extremely low birthweight Pancreatic duct obstruction |
Chronic pancreatitis Pancreatic adenocarcinoma Other pancreatic neoplasms |
Cystic fibrosis Shwachman–Diamond syndrome Johanson–Blizzard syndrome Pearson syndrome Maturity‐onset diabetes of the young, type 8 (CEL‐MODY) β‐thalassemia Diamond–Blackfan anemia Hereditary hemochromatosis Hereditary chronic pancreatitis |
2.5.3. Chapter 3
Question: What is the role of alcohol consumption and smoking in the development and progression of fatty pancreas?
Statement 3: Currently, there is no convincing evidence of an increased prevalence or a causal relationship between alcohol consumption and cigarette smoking in the etiopathogenesis of fatty pancreas.
Level of evidence: 3.
Consensus agreement: 97%
Comment: The role of alcohol consumption in the development of fatty pancreas has been suggested by preclinical studies in rat models [44, 45]. Beyond animal models, only a limited number of heterogeneous human studies have examined the association between alcohol consumption and fatty pancreas development, with most exploring this relationship (alongside factors like cigarette smoking) as part of broader investigations rather than as a primary focus. While most current evidence does not support a causal relationship between alcohol consumption or smoking and the development or progression of fatty pancreas, a few observational studies have suggested potential associations. However, these findings are often based on heterogeneous or cross‐sectional data, and prospective, well‐powered studies are lacking. A cross‐sectional magnetic resonance imaging (MRI) study of 119 individuals after acute pancreatitis found that fatty pancreas was more common in these patients than in healthy controls, regardless of alcohol or smoking [46]. Similarly, in a cross‐sectional study of 8097 individuals, including 1297 with fatty pancreas and 6800 without, researchers found no significant differences in the prevalence of smoking or alcohol consumption between the two groups [47]. Moreover, a five‐year follow‐up study of 320 Japanese adults without metabolic syndrome found that higher pancreatic fat levels were linked to a greater proportion of smokers and individuals consuming at least 20 g of alcohol per day [48]. A study of 685 healthy volunteers without metabolic syndrome used MRI to diagnose fatty pancreas, applying a fat content threshold of 10.4%; it found no significant difference in smoking rates between those with and without fatty pancreas (8.2% vs. 12.7%). However, current alcohol consumption was slightly higher in individuals with fatty pancreas compared to those without (28.2% vs. 19.5%), showing borderline significance (p = 0.04) [49]. Furthermore, several studies have consistently found no significant association between alcohol consumption or smoking and the presence or progression of fatty pancreas. In a prospective study of 250 patients undergoing endoscopic ultrasound (EUS), fatty pancreas was detected in 27.8% of cases, but neither alcohol nor smoking was linked to increased risk [50]. Similarly, a large cohort study involving over 9900 individuals found no significant differences in smoking or alcohol use between those with and without fatty pancreas [51]. A retrospective study with a 2‐year follow‐up further supported these findings, showing no association between alcohol or smoking and pancreatic parenchymal changes in patients with fatty pancreas [52]. Although modification of lifestyle risk factors is a fundamental component in the management of patients with fatty pancreas, no studies to date have systematically evaluated the potential benefits of reducing or ceasing alcohol consumption and/or smoking as preventive strategies for the onset and progression of fatty pancreas.
2.5.4. Chapter 4
Question: What is the epidemiology of fatty pancreas?
Statement 4: The epidemiology of fatty pancreas is poorly understood. Due to the lack of standardized definitions and diagnostic criteria, prevalence estimates vary widely across studies. However, fatty pancreas is more common with increasing age, body mass index, waist circumference, metabolic syndrome, and diabetes.
Level of evidence: 2.
Consensus agreement: 99%
Comment: A recent systematic review and meta‐analysis of the prevalence, clinical characteristics, and outcomes of fatty pancreas reported an overall prevalence of 21%, with significant differences across countries, geographical regions, and variations according to diagnostic modality, but no significant differences based on study settings or sample size. Moreover, sex, mean age, mean body mass index (BMI), and the percentage of patients with DM or fatty liver diseases had no effect on heterogeneity [18].
An updated systematic review using multiple literature databases (performed for the purposes of the present consensus report) led to the identification of 26 studies reporting on the prevalence of fatty pancreas in the adult population or screened subjects free of pancreatic diseases, with a pooled prevalence of 27% (range, 1.2%–70.8%) [15, 25, 47, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72] (Supporting Information S3: Figures 1–3). Diagnosis of fatty pancreas was based on transabdominal ultrasound (US), with or without elastography, in 14 studies; MRI in four studies; EUS and computed tomography (CT) in three studies each; and autopsy specimens in two older studies. The variability across studies (in terms of population characteristics, age distribution, and differences in diagnostic methods or criteria) prevents a reliable estimation of overall prevalence based on specific demographic or clinical factors.
2.5.5. Chapter 5
Question: What is the histopathology of fatty pancreas?
Statement 5.1: The hallmark of fatty pancreas is the presence of adipocytes, intralobularly and/or extralobularly. Extensive adipocyte accumulation is usually associated with loss of acinar parenchyma.
Level of evidence: 5.
Consensus agreement: 100%
Statement 5.2: The distribution of fatty pancreas‐related changes may be patchy.
Level of evidence: 5.
Consensus agreement: 100%
Statement 5.3: The histology of fatty pancreas beyond the presence of adipocytes has been poorly studied.
Level of evidence: N/A.
Consensus agreement: 100%
Statement 5.4: There is currently no universally accepted, validated objective method for the histological assessment of the severity of fatty pancreas.
Level of evidence: N/A.
Consensus agreement: 100%
Comment: The presence of non‐neoplastic adipocytes in the pancreas is the hallmark of fatty pancreas. In this context, the adipocytes are morphologically mature and contain a single, large lipid vacuole (Figure 1). They may be located within pancreatic lobules (intralobular) and/or interlobular spaces (extralobular) (Figure 2), and in exceptional instances, inside islets of Langerhans (Figure 3). In contrast to hepatic steatosis, intracytoplasmic lipid vacuoles in acinar cells are not readily seen upon hematoxylin and eosin staining. Histochemical, immunohistochemical, and ultrastructural examinations have revealed acinar intracytoplasmic lipid accumulation in rodent models of fatty pancreas [37, 73, 74, 75, 76]. While this phenomenon has been less documented in human pancreas [77], a recent study indicates that intracellular lipid accumulation in human pancreas may be seen in both acinar cells and endocrine cells of Langerhans islets [78]. The number of adipocytes may vary from a few scattered fat cells to confluent sheets (Figure S4). Extensive adipocyte accumulation is usually associated with loss of acinar parenchyma, ultimately resulting in vast stretches of adipose tissue containing scattered islets, ducts, or sparse clusters of residual acinar cells (Figure S5). Macroscopically, when changes are advanced, the pancreas may exhibit a marbled appearance and a markedly soft texture [79]. According to autopsy studies, the distribution of fatty pancreas‐related changes may be patchy [29, 42] (Figure S6), a finding supported by imaging studies [80]. More recent histological studies are primarily based on the examination of surgical specimens, which precludes the assessment of the distribution of fatty pancreas‐related changes. However, the frequent involvement of superficial lobules, that is, lobules at the interface with the peripancreatic tissues, has been described [81].
FIGURE 1.

Mature adipocytes (black asterisks) around and within parenchymal lobules (white asterisks). Note the absence of lipid vacuoles in acinar cells.
FIGURE 2.

The degree of fatty pancreas‐related changes (arrows, asterisks) may range from discrete (a) to moderate (b) and severe (c).
FIGURE 3.

Non‐uniform distribution of fatty pancreas‐related changes resulting in mild alteration in some lobules (left) and advanced changes in flanking parenchyma (right).
The histology of fatty pancreas beyond the presence of adipocytes has been poorly studied. While inflammatory changes and fibrosis are not usually conspicuous in and around the adipocytes and the neighboring parenchyma, these changes have not been systematically characterized. Currently, there is only sparse published evidence from a small number of human and animal studies [82, 83, 84]. Nonetheless, current published evidence does not suggest that increasing adipocyte accumulation is associated with inflammation and fibrosis. Hence, a sequence similar to that seen in the liver, that is, steatosis progressing to steatohepatitis, is not generally observed in the pancreas. Furthermore, data and insight are lacking regarding possible variations in histomorphological features with respect to the underlying cause of fatty pancreas. There is also currently no universally accepted, validated objective method for the histological assessment of the severity of fatty pancreas. Proposed grading systems vary from subjective manual semiquantification (based on visual inspection) [85], to the percentage of pancreatic tissue area occupied by adipocytes [86, 87, 88], or the number of adipocytes per microscopy field [89], to automated morphometric analysis of images or digital sections [90, 91, 92, 93]. Intra‐ and extralobular fat is assessed separately; however, distinction may be impossible in advanced fatty pancreas. As the amount of peripancreatic fat contained in a specimen may depend on the surgical procedure, it is excluded from the assessment. A line connecting the most peripheral (remnants of) acinar cells and/or islets defines the border between extralobular and peripancreatic fat (Figure S7). Because peripancreatic fat is typically absent at the pancreatic neck, tissue samples from this location are commonly analyzed [88, 92, 94]. Given the potential non‐uniform distribution of fatty pancreas‐related changes, various recommendations have been made regarding the number of tissue blocks to be examined; however, none of these have been validated. A systematic assessment of the degree of heterogeneity may provide valuable information about the minimum number of tissue blocks needed for the reproducibility of findings [95]. While the scoring of fatty pancreas‐related changes is currently not part of routine diagnostic procedures, evaluation of the presence of adipocytes at the transection margin may be considered, given its correlation with the risk for postoperative pancreatic fistula [96, 97].
As only a small number of studies have systematically analyzed the histology of human fatty pancreas, insight is currently limited. With surgical specimens accounting for most of the study material available, potential interference by pancreatic disease that necessitates resection represents a significant limitation, even if tissue samples are taken from upstream or at least 1 cm away from the tumor [98, 99]. Due to the dearth of evidence and, consequently, the lack of consensus regarding the histomorphological features and diagnostic criteria of fatty pancreas, currently available study findings are difficult to compare.
2.5.6. Chapter 6
Question: How should fatty pancreas be diagnosed from a radiological standpoint?
The presence and severity of fatty pancreas can be evaluated using various imaging modalities in both clinical practice and research, including transabdominal US, CT, and MRI.
Statement 6.1: Transabdominal ultrasonography could suggest the presence of fatty pancreas; however, its diagnostic reliability and utility for assessing severity remain limited due to operator dependency, technical variability, and inconsistent criteria.
Level of evidence: 3.
Consensus agreement: 87%
Comment: Transabdominal US is one of the most common imaging modalities for evaluating abdominal organs. Increased echogenicity can indicate the presence of fat in the pancreas (Figure 4). However, echogenicity can be affected by other pathological processes, including fibrosis, inflammation, and calcification [100]. Moreover, the retroperitoneal location of the pancreas poses a limitation for its evaluation, especially in individuals with obesity; evaluating the whole organ can be difficult and may result in significant interobserver variation. Echogenicity depends on the body habitus of the patient, as well as the frequency of the transducer, B‐mode gain presets, and the angle of insonation. Comparisons of pancreatic echogenicity with other organs, such as the liver, spleen, kidney, and retroperitoneal fat, have been proposed; however, they lack validation and consistent application [23, 53, 101, 102]. Moreover, no established validated quantitative criteria exist; however, most semi‐quantitative methods have four grades (non, mild, moderate, or severe). Therefore, a cautious approach is advisable when comparing the data, given the possibility of methodological variations. A four‐tier grading system for fatty pancreas based on echogenicity relative to surrounding organs has been proposed [103]. However, if the reference organ (e.g., liver) is itself steatotic, this comparison becomes unreliable. Furthermore, this grading system was not compared to other imaging modalities; therefore, the sensitivity for severity grading and detecting mild fatty pancreas could be questionable.
FIGURE 4.

Transabdominal ultrasonography image (a) of a patient with fatty pancreas showing increased echogenicity, which was confirmed via magnetic resonance imaging‐proton density fat fraction (b).
Statement 6.2: CT could assist in the diagnosis of fatty pancreas, particularly in advanced cases, but its sensitivity is limited for detecting milder forms.
Level of evidence: 5.
Consensus agreement: 97%
Comment: CT is a cross‐sectional imaging modality for whole organ evaluation of the pancreas, showing decreased attenuation values in cases of fatty pancreas [104] (Figure 5). Measuring the Hounsfield unit (HU) of the tissue of interest has the potential to quantitatively grade the degree of fatty pancreas. However, attenuation values may differ between various CT scanners, depending on the scan parameters and contrast dosing, which can reduce the reproducibility of the technique. Moreover, a mild degree of fat can cause a hypodense appearance on CT (the so‐called “invisible fat” on CT), which is not enough to confidently diagnose the presence of fat [105]. Radiation exposure is another limitation of the technique. The difference in attenuation between the spleen (in the absence of splenic pathology) and pancreas, as well as the ratio of these values on non‐enhanced CT, has been shown to be accurate for evaluating fatty pancreas in comparison with histopathological analyses [90]. A pancreas‐to‐spleen density ratio of < 0.7 is proposed to be a diagnostic criterion for the presence of fatty pancreas [106]. Additionally, the combination of pancreatic surface lobularity and pancreatic attenuation on CT has demonstrated good accuracy for detecting fatty pancreas [107].
FIGURE 5.

Diffuse fatty pancreas on computed tomography is more evident in the tail and the body than in the head.
Statement 6.3: MRI, particularly the use of proton density fat fraction (PDFF) sequences, is the most reliable technique for accurate pancreatic fat quantification.
Level of evidence: 3.
Consensus agreement: 100%
Comment: MRI is the preferred choice of imaging for the quantitative assessment of pancreatic fat, even though it is costly and often has limited availability. The principle of MRI in detecting and quantifying fat mainly depends on the chemical shift effect, which can be defined as the difference in resonance frequencies between hydrogen protons bound to triglycerides and water [108]. Chemical shift imaging, Dixon MRI‐PDFF, and MR spectroscopy (MRS) are the best options for both detecting and quantifying fatty pancreas. In‐phase and opposed‐phase imaging exploits the time‐of‐echo‐dependent phase interference effect between gradient echo signals of water and fat. However, it has some disadvantages, as it only evaluates the main fat peak in the tissue, and is also subject to biases from T1 and T2* relaxation. MRS is another method that can also measure the fat fraction of the pancreas; however, it has some technical challenges, including limited voxel size, which can be a problem in heterogeneous fat infiltration.
Due to the technical limitations of the in‐phase and opposed‐phase methods and MRS, MRI‐PDFF is recognized as the most reliable method for quantifying pancreatic fat, as it enables the evaluation of the entire pancreas with shorter scan times, as opposed to a voxel‐limited technique like MRS. The histological pancreatic fat fraction is highly correlated with MRI‐PDFF [92, 109]. Commonly, measurement of the averages of three regions of interest (ROIs) of the head, body, and tail of the pancreas should be conducted with due care to avoid non‐parenchymal structures, such as ducts and vessels (Figure 6). Because of significant variations in organ volume [110, 111] and on the principle that smaller ROIs are more susceptible to noise, maximally sized ROIs are advisable for measurement. Pancreatic organ margins can become physiologically and pathologically indistinct over time due to senile and pathological changes. Different MRI studies evaluating the fat distribution between pancreatic regions have demonstrated conflicting results. The most comprehensive study revealed an unequal distribution of pancreatic fat in 1367 volunteers, with pancreatic fat fractions of 4.6% in the head, 4.9% in the body, and 3.9% in the tail (p < 0.001) [112] which can be a result of confounding factors like BMI, age, and sex [113, 114]. Other studies with a limited number of patients did not demonstrate such differences [68, 80, 115]. A cutoff for pancreatic steatosis of 6.2% on MRI was suggested [116].
FIGURE 6.

Fat fraction quantification with magnetic resonance imaging‐proton density fat fraction. It is both feasible to quantify pancreatic fat with three regions of interest (ROIs) placed on the pancreatic head, body, and tail to report the average (a) and to measure the entire pancreas using free‐hand ROIs (b).
Based on clinical observations and expert opinion, fatty pancreas can be classified into three grades: mild fatty pancreas (6%–15% PDFF), moderate fatty pancreas (16%–30% PDFF), and severe fatty pancreas (over 30% PDFF) (Figure 7).
FIGURE 7.

Three patients with varying grades of fatty pancreas, as assessed via transabdominal ultrasound and corresponding magnetic resonance imaging‐proton density fat fraction (MRI‐PDFF). Mild fatty pancreas with 7% pancreatic fat on MRI‐PDFF (a), moderate fatty pancreas with 20% pancreatic fat on MRI‐PDFF (b), and severe fatty pancreas with 35% pancreatic fat on MRI‐PDFF (c).
Statement 6.4: MRI could be used for further characterization of pancreatic fat in patients with uncertain findings and suspected focal fatty pancreas that is not located in a characteristic area of the pancreas on ultrasonography and CT.
Level of evidence: 5.
Consensus agreement: 86%
Comment: In cases where the findings on CT or US are uncertain or suggestive of potential serious focal pathology, pancreatic MRI may be helpful. Fatty pancreas can be heterogeneous and may mimic focal lesions [117] (Figures S8 and S9). This heterogeneous appearance can be further characterized by MRI with demonstration of a relatively high fat fraction in this region. Focal fatty replacement of the pancreas may occur due to intraductal calculi or tumors that obstruct the pancreatic duct [30] (Figure S10). Lipomatous pseudohypertrophy is characterized by an expansion of the pancreas in contrast to fatty infiltration or atrophy of parenchyma [118] (Figure S11). While the pathological consensus is that lipomatous pseudohypertrophy represents an extreme form of fatty pancreas, the term persists in clinical radiology to describe a morphologically distinct variant characterized by expansion of the gland, differentiating it from simple fatty pancreas or atrophy of the pancreatic parenchyma. Distal pancreatic agenesis is another entity that should be differentiated from distal fatty pancreas. In the absence of the distal pancreas, the distal pancreatic bed may be occupied by the stomach or intestine (referred to as dependent stomach or dependent intestine signs), which are adjacent to the splenic vein [119] (Figure S12). Beyond that, some pancreatic lesions may contain fat (e.g., lipoma and pancreatoblastoma) and should be evaluated comprehensively for a possible solid component [120] (Figure S13). Specific genetic disorders may also cause fatty pancreas, including cystic fibrosis, Shwachman–Diamond syndrome, and Johanson–Blizzard syndrome, the most well‐known of which is cystic fibrosis [121] (Figure S14). Indeed, further clinical research is needed to establish evidence‐based diagnostic algorithms to support clinical patient management.
Statement 6.5: Automated artificial intelligence (AI)‐based measurement of pancreatic fat via MRI may enable objective, reproducible quantification, benefiting time management and large‐scale research studies. However, there is currently a lack of sufficient evidence on this subject.
Level of evidence: 4.
Consensus agreement: 100%
Comment: Automated AI‐based measurement of pancreatic fat with MRI offers a promising advancement in the objective and reproducible quantification of pancreatic fat. A recently published study demonstrated that a deep learning radiomics model outperformed radiologists in providing a more efficient, accurate, and stable method for monitoring fatty pancreas [122]. Another study showed that 3D dual‐contrast nnU‐Net segmentation of the pancreas on Dixon images fully automated the assessment of pancreatic fat distribution with high reliability [123]. Moreover, the application of adapted deep convolutional neural networks for automatic measurement has shown potential for large‐scale clinical research, facilitating time‐efficient assessments across diverse populations [123, 124].
2.5.7. Chapter 7
Question: How can fatty pancreas be diagnosed using EUS?
Statement 7.1: EUS can be used to diagnose fatty pancreas primarily through qualitative echogenicity assessment, typically characterized by hyperechoic pancreatic parenchyma compared to the spleen or adjacent organs. Nonetheless, a correlation between hyperechogenicity and histological fat accumulation is not established, and tissue acquisition cannot be recommended.
Level of evidence: 4.
Consensus agreement: 97%
Comment: Fatty pancreas can be detected via EUS as hyperechogenicity (increased echogenicity) when compared to other organs, that is, the spleen, which is less affected by fatty infiltration [50, 125, 126]. This is related to the fact that fat accumulation can increase the reflection of sound waves, making the pancreas appear brighter on the EUS view [50]. Nonetheless, echogenicity can be affected by other pathological processes, depending on the patient's body habitus and machine settings, such as the frequency, gain, and angle of insonation. Furthermore, interobserver reproducibility has not been addressed, and the technique itself cannot currently be recommended for investigating fatty pancreas due to its cost and invasiveness. Only one preliminary study has investigated fatty pancreas with EUS‐guided tissue acquisition [127]. Nonetheless, EUS‐guided tissue acquisition carries significant risks and is generally limited to differentiating malignant from benign pancreatic lesions. Its utility in fatty pancreas has not been established, and, therefore, cannot be proposed in this setting.
Question: How is fatty pancreas graded using EUS?
Statement 7.2: To date, no validated EUS classification to grade the severity or the extent of fatty pancreas disease is available.
Level of evidence: 4.
Consensus agreement: 97%
Comment: Currently, there is no universally accepted or validated objective method for the histological assessment of fatty pancreas, making it difficult to establish a definitive classification for grading its severity or extent using EUS. However, the current consensus panel considers this an important area for future research, as the evaluation of pancreatic fatty change is often subjective and can vary based on the endosonographer's experience and interpretation. Several attempts to classify fatty pancreas based on EUS have been proposed [50, 126, 128, 129]. In order to facilitate the development of consistent and comparable studies, we propose a preliminary classification system for fatty pancreas based on EUS findings (Table 2 and Figure S15a–Se).
TABLE 2.
Proposal for the classification system for fatty pancreas based on endoscopic ultrasound (EUS) findings.
| Extent of fatty pancreas | |
| No fatty pancreas | No evidence of fatty pancreas. |
| Segmental fatty pancreas—head | Fatty pancreas limited to the head of the pancreas; the body and tail are spared. |
| Segmental fatty pancreas—body and tail | Fatty pancreas involving the body and tail; the head is spared. |
| Diffuse fatty pancreas | Fatty pancreas involving the entire pancreas. |
| Severity of fatty pancreas | |
| No fatty pancreas | No hyperechogenicity or loss of surrounding structure definition. |
| Mild/moderate fatty pancreas | Hyperechoic pancreas with mild posterior acoustic attenuation; partial obscuration of anatomical landmarks (e.g., left kidney or spleen for body and tail of the pancreas, mesenteric vessels or distal duodenal wall for head of the pancreas); main pancreatic duct (MPD) mildly or moderately obscured. |
| Severe fatty pancreas | Markedly hyperechoic pancreas with complete loss of adjacent structure definition; MPD severely obscured, suggesting extensive fat infiltration and shadowing. |
The use of a standardized EUS protocol in terms of machine settings should aim to enhance reproducibility in clinical studies. However, conventional EUS has limitations in quantifying fat content, as it is mostly a qualitative evaluation rather than a quantitative one. To minimize subjectivity and improve reliability, standardized quantitative assessments using ROI measurements of pancreatic echogenicity, compared to reference organs such as the spleen or kidney, are recommended. This approach calculates the average echogenicity ratio, enhancing reproducibility and diagnostic accuracy [126]. Furthermore, it should be noted that reduced focal fat content in the embryological ventral region is a physiological finding. Moreover, some parts of the pancreas can be spared from fat accumulation and look hypoechoic compared to the rest of the parenchyma, resembling a nodule or a tumor, which is a false positive finding.
Question: Can advanced imaging techniques applied in EUS be of use in fatty pancreas evaluation?
Statement 7.3: EUS imaging analysis via AI and advanced imaging techniques, such as shear wave elastography (SWE), show promising potential for evaluating fatty pancreas. However, no validation on the application of these techniques has been performed.
Level of evidence: 4.
Consensus agreement: 95%
Comment: Conventional EUS evaluation of fatty pancreas relies heavily on subjective qualitative judgments of tissue echogenicity, which are operator‐dependent and prone to variability. The integration of quantitative methods, such as elastography and AI, may offer measurable parameters, thereby significantly improving diagnostic accuracy. Recent studies suggest that these methods can effectively distinguish normal tissue from fatty pancreas, offering more objective assessments than traditional qualitative approaches.
SWE quantifies tissue stiffness by assessing the velocity of shear wave propagation through pancreatic tissue. Preliminary results of a recent study have suggested its feasibility and reproducibility, associating higher stiffness measurements with increased pancreatic fat infiltration [130]. Specifically, median EUS‐SWE Versus and elasticity values were significantly elevated in patients with fatty pancreas compared to those without. Furthermore, SWE Versus measurements independently predicted fatty pancreas even after adjustments for confounding factors like BMI, age, gender, race, alcohol use, and smoking history. In a subsequent study, a significant poor‐moderate correlation between median EUS‐SWE Versus values and pancreatic fat fraction assessed via MRI was observed (Pearson correlation coefficient 0.42; p = 0.025) [131].
The integration of AI, particularly computer‐aided detection (CADe) systems, automates the evaluation of pancreatic echogenicity, thus reducing interobserver variability and operator dependency. A recent study demonstrated that an AI model accurately detected and segmented abnormal pancreatic tissue in patients with fatty pancreas, achieving an overall accuracy of 0.93 (95% CI, 0.90–0.97) and an area under the receiver operating characteristic curve of 0.89 (95% CI, 0.85–0.93) [132].
2.5.8. Chapter 8
Question: Is fatty pancreas a risk factor for acute pancreatitis?
Statement 8.1: Fatty pancreas may be a risk factor for acute pancreatitis.
Level of evidence: 3.
Consensus agreement: 88%
Comment: Data from cross‐sectional studies indicate that patients with acute pancreatitis (AP) are more likely to have a fatty pancreas compared to individuals without AP [46, 133, 134]. While several risk factors [4, 71, 116, 135, 136] can lead to the development of both fatty pancreas and AP, a retrospective cohort study [71] of UK Biobank participants showed that fatty pancreas was associated with a higher risk of AP compared to patients without fatty pancreas. A cohort study linked fatty pancreas to a higher risk of exocrine pancreatic disorders [137]. Moreover, a large study using Mendelian randomization suggested an association between genetically predicted fatty pancreas and AP [138]. Additionally, fatty pancreas was associated with post‐endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis [72, 139, 140]. However, two retrospective cohort studies investigating AP after pancreatoduodenectomy did not observe increased adjusted odds of AP associated with fatty pancreas [141, 142].
Statement 8.2: Fatty pancreas may be associated with increased severity of AP.
Level of evidence: 4.
Consensus agreement: 92%
Comment: Many studies have reported a positive correlation between fatty pancreas and AP severity [41, 133, 143, 144, 145]. One study reported higher systemic inflammatory response scores during the first 48 h after admission in AP patients with fatty pancreas compared to those without fatty pancreas, but found no significant differences in complication rates, in‐hospital mortality, or length of hospital stay [146]. However, in post‐ERCP pancreatitis, there does not appear to be a link between fatty pancreas and the severity of AP [147, 148]. Regarding AP due to other etiologies, the available data are scarce—two studies specifically reported on acute biliary pancreatitis and suggested a positive correlation between fatty pancreas and AP severity [144, 146].
2.5.9. Chapter 9
Question: Is there an increased risk of pancreatic exocrine insufficiency or reduced exocrine pancreatic secretion in individuals with fatty pancreas?
Statement 9.1: The evidence regarding the association between fatty pancreas and pancreatic exocrine function is inconclusive and may be influenced by underlying pancreatic disease.
Level of evidence: 4.
Consensus agreement: 92%
Comment: According to the European guidelines for the diagnosis and treatment of pancreatic exocrine insufficiency (PEI), PEI is defined as a reduction in exocrine pancreatic secretion and/or intraluminal activity of pancreatic enzymes below the level that allows the normal digestion of nutrients [6]. Only one small study has reported on the digestive capacity of the pancreas in patients with fatty pancreas using the combined 13C‐mixed triglyceride (MTG) breath test and dietary assessment [69]. This study reported normal breath test results and the absence of nutritional deficiencies in all cases, indicating that PEI is not present in patients with fatty pancreas. This is supported by a study reporting that the level of pancreatic fat is not associated with the digestive capacity of the pancreas as assessed using the N‐benzoyl‐L‐tyros‐p‐aminobenzoic acid test [149]. In a study of 49 insulin‐naïve patients with type 2 DM, pancreatic fat content (as measured using MRI) was not associated with reduced pancreatic function [as determined by fecal elastase‐1 (FE‐1), fecal chymotrypsin, and 13C‐MTG breath tests] [150]. A systematic review of studies on fatty pancreas reported an inverse correlation between the amount of pancreatic fat and FE‐1 test results [69]. A similar inverse correlation between pancreatic secretion and the amount of pancreatic fat has been reported in a more recently published German study of 1458 healthy volunteers [151] and a recent Turkish nationwide multicenter study [70]. However, the prevalence of abnormally low FE‐1 concentrations (< 200 μg/g) was similar in patients with and without fatty pancreas [70]. Finally, in a recent Indian study, all patients with chronic pancreatitis (n = 8) and what the authors called “total pancreatic lipomatosis” had low FE‐1 test results [152]. In patients with cystic fibrosis, a clear correlation between fat content and PEI has been described [33, 153]. These findings highlight the importance of understanding the causes of fatty pancreas in relation to pancreatic function. In summary, the evidence on the association between fatty pancreas and pancreatic function is inconclusive and should be considered in the context of the underlying pancreatic disease.
Question: Is there an increased risk of chronic pancreatitis (CP) in individuals with a fatty pancreas?
Statement 9.2: Despite the evidence being limited at present, genome‐wide association studies and cohort studies suggest that a fatty pancreas is associated with the risk of chronic pancreatitis.
Level of evidence: 4.
Consensus agreement: 94%
Comment: In a recent retrospective matched cohort study, patients with fatty pancreas exhibited a significantly higher incidence of CP compared with matched controls (6.1% vs 0.6%) over a mean follow‐up period of 4 years [137]. According to a further study, features of CP were found in all eight patients with severe fatty pancreas, 87% of whom had ductal dilatation and calcifications, and 62% had metabolic syndrome [150]. However, there may be a reverse causation bias as CP‐induced pancreatic atrophy may lead to fatty pancreas. In a Turkish nationwide multicenter study of 1700 volunteers, transabdominal ultrasonography for fatty pancreas and ultrasonographic SWE for pancreatic stiffness were performed [70]. Fatty pancreas was associated with increased pancreatic stiffness, which may be a sign of pancreatic fibrosis [70]; however, pancreatic stiffness alone is insufficient to diagnose CP. Recently, a study using genetic variants from genome‐wide association studies of fatty pancreas showed that genetically predicted fatty pancreas was significantly associated with AP and CP [138]. This finding supports a potential causal role of fatty pancreas in pancreatitis but causality should be proven via prospective cohort studies.
2.5.10. Chapter 10
Question: Is there a correlation between fatty pancreas and the prevalence of intraductal papillary mucinous neoplasms (IPMN)?
Statement 10.1: Low‐quality evidence indicates that the prevalence of fatty pancreas may be higher in patients with IPMN than in patients without IPMN.
Level of evidence: 4.
Consensus agreement: 94%
Comment: The prevalence of fatty pancreas among patients with IPMN varies widely across reporting studies, ranging from 47% to 88% [96, 126, 154]. One retrospective study with a relatively large sample size reported a higher prevalence of fatty pancreas in patients with IPMN (60%) compared to those without (39%) [126]. Additionally, some retrospective studies have found that pancreatic fat content is higher in patients with IPMN than in those without [128, 155]. However, one study indicated that this difference was significant only when comparing malignant IPMN cases to benign IPMN or non‐IPMN cases, as they found no significant difference between benign IPMN and non‐IPMN cases [156]. A Japanese retrospective matched cohort study that evaluated the association between IPMN and fatty pancreas in patients undergoing MRI and CT scans for various indications also reported that the CT attenuation indices in each of the evaluated pancreatic regions (head/body/tail) were lower in patients with IPMN than in patients without pancreatic cysts [155]. In terms of IPMN subtype, a cross‐sectional study evaluating the associations between pancreato‐hepato‐biliary disorders and fatty pancreas, diagnosed via EUS, revealed that main‐duct IPMN, but not mixed‐type or branch‐duct IPMN, was significantly associated with fatty pancreas [128]. These findings should be interpreted with caution for two reasons. First, fatty replacement impacts the background attenuation on imaging, potentially leading to a higher sensitivity for cystic lesions. This detection bias may have resulted in a higher prevalence. Second, due to the retrospective design of the available studies, it is not possible to determine whether the observed association between the two entities reflects causation or correlation.
Question: Does fatty pancreas increase the risk of progression in IPMN?
Statement 10.2: While fatty pancreas may be associated with an increased risk of IPMN progression, there is insufficient evidence for a definite conclusion or establishment of a causal relationship.
Level of evidence: 4.
Consensus agreement: 88%
Comment: Although limited, the available data suggest that in patients with IPMN, pancreatic fat content is higher in malignant or high‐grade dysplastic lesions compared to low‐risk IPMN [155, 156, 157, 158]. Additionally, pancreatic fat content appeared to increase over time when IPMN progressed to malignancy, while remaining stable in cases without IPMN progression [158]. This is in line with studies reporting an association between metabolic syndrome and obesity and an increased risk of IPMN progression [159]. Regarding specific worrisome features and high‐risk stigmata associated with IPMN, a retrospective, single‐center study identified a correlation between fatty pancreas and main pancreatic duct diameter, cyst diameter, mural nodule size, and CA19‐9 serum levels [157].
The method of evaluating fatty pancreas varied greatly across studies. Furthermore, many published reports have focused on selected cases of resected IPMN lesions only, introducing a selection bias [154, 157]. Overall, the level of evidence is very low and insufficient to draw a definitive conclusion regarding whether fatty pancreas increases the risk of IPMN progression, and if this concerns causality rather than correlation. Currently, there is also insufficient evidence to support tailoring IPMN follow‐up strategies based on fatty pancreas.
2.5.11. Chapter 11
Question: Is fatty pancreas a risk factor for pancreatic cancer?
Statement 11.1: Fatty pancreas is associated with pancreatic cancer. While direct causality and the exact mechanisms remain under investigation, a growing body of evidence suggests that patients with fatty pancreas are at an increased risk of developing pancreatic cancer.
Level of evidence: 3.
Consensus agreement: 99%
Comment: Several studies have explored the relationship between fatty pancreas and pancreatic cancer (PC). Although much of the existing research is based on small cohort studies and retrospective analyses, three systematic reviews have synthesized these findings. A systematic review [160] found that fatty pancreas significantly increased the risk of PC or pre‐malignant lesions (relative risk, 2.78; 95% confidence interval, [CI], 1.56–4.94; p < 0.001). Another article [161] reported that the likelihood of fatty pancreas among patients with PC was more than six times higher (odds ratio [OR], 6.13; 95% CI, 2.61–14.42). A recent meta‐analysis [5] estimated a pooled OR of 3.23 (95% CI, 1.86–5.60) for fatty pancreas in patients with PC compared to controls. These reviews suggest that individuals with fatty pancreas face a notably higher risk of developing PC than those without. Further supporting evidence comes from a large‐scale prospective cohort study using UK Biobank data [71]. This study found that fatty pancreas was associated with an increased hazard ratio (HR) of 1.976 (95% CI, 1.054–3.704), strengthening the argument that fatty pancreas may be an independent risk factor for PC. Another study [162] adds to the growing literature linking fatty pancreas to PC, emphasizing the need to investigate the biological mechanisms underlying this association. Nonetheless, despite these findings, the causal relationship between fatty pancreas and PC remains uncertain. Most studies establish correlation rather than direct causation. However, a recent Mendelian randomization study [163] provides compelling evidence suggesting a potential causal link. By leveraging genetic variants as instrumental variables, this study minimized confounding factors inherent in observational research, further supporting the hypothesis that fatty pancreas may contribute to PC development. Several studies have explored the mechanistic links between fatty pancreas and PC. Proposed pathophysiological mechanisms include lipotoxicity, chronic inflammation, oxidative stress, altered metabolic signaling, dysregulated autophagy, immune modulation, and activation of cellular processes such as pancreatic stellate cell activation followed by fibrosis. Collectively, these factors may contribute to a tumor‐promoting microenvironment that facilitates cancer development, progression, and metastasis [164, 165, 166].
2.5.12. Chapter 12
Question: Is fatty pancreas a risk factor for surgical complications?
Statement 12.1: A fatty pancreas increases the risk of surgical complications.
Level of evidence: 3.
Consensus agreement: 98%
Comment: The presence of excessive fat around or within the pancreas is associated with an increased risk of adverse postoperative events following pancreatoduodenectomy (PD) [167]. A fatty pancreas may elevate the risk of surgical complications in three ways: by making surgical tissue handling more challenging, by promoting inflammation, and, indirectly, by increasing the risk of diabetes. Fat accumulation around or within the pancreas can complicate surgical procedures and impair healing, contributing to a higher incidence of severe complications such as postoperative pancreatic fistula (POPF) [89, 98, 168, 169, 170, 171]. In patients with elevated BMI, fat accumulation in the tissues surrounding the pancreas may impede the healing of the pancreatic anastomosis [91, 96, 98, 172, 173, 174, 175, 176].
Although the pancreatic attenuation index can be used to estimate fat content, its predictive value for specific outcomes, such as POPF, remains limited [177]. Histopathological analyses have shown that acinar cells play a critical role in the risk of complications. A high acinar cell count at the resection margin is predictive of postoperative complications, such as pancreatic fistulas and acute pancreatitis [142, 178, 179]. Further histological investigations on the fat content of the resection margin will be helpful in determining the impact of fatty pancreas on POPF.
A fatty pancreas is often associated with metabolic syndrome and insulin resistance, conditions that further increase surgical risk [84, 109, 180]. These systemic complications are exacerbated by heightened inflammation and elevated risk of thrombotic events, both of which can significantly impede postoperative recovery. Therefore, preoperative screening for obesity and fatty pancreas is essential [65, 181]. Moreover, effective preoperative management strategies, including glycemic control and weight reduction, may help reduce the surgical risks associated with a fatty pancreas [88, 182, 183, 184, 185, 186, 187].
2.5.13. Chapter 13
Question: What is the prevalence and clinical significance of fatty pancreas in the pediatric population?
Statement 13.1: The prevalence of fatty pancreas is increased in children with obesity, type 2 DM, metabolic dysfunction‐associated steatotic liver disease (MASLD), as well as in children with cystic fibrosis, Shwachman–Diamond syndrome, or Pearson syndrome.
Level of evidence: 3.
Consensus agreement: 98%
Comment: Fatty pancreas has been described in children in two distinct settings. First, in association with several congenital disorders (Table 1). In patients with cystic fibrosis, clinical studies have shown that the extent of fatty pancreas was correlated to a decline in exocrine function [153]. This correlation has also been shown in animal models of Shwachman‐Diamond syndrome [188]. Clinical and translational research is needed to further investigate the pathophysiology and impact on exocrine function. Second, fatty pancreas has been reported in children with overweight or type 2 DM. Studies have highlighted varying prevalence rates of fatty pancreas in pediatric populations. In a cohort of Chilean adolescents aged 13–18 years, 4% exhibited ultrasonographic signs of fatty pancreas [189]. A South Korean study found 26.5% of children aged 5–18 years had an echogenic pancreas on abdominal ultrasound [190]. In an American pediatric tertiary care center, 11.5% of children aged 2–18 years showed signs of fatty pancreas on CT scans performed in emergency or inpatient settings [191]. Higher prevalence rates were observed in at‐risk populations. Among obese adolescents with MASLD, the prevalence of fatty pancreas was 74.5% in a South Korean study, 52% in an Italian study [192], and 50% in a Hong Kong cohort [193] using MRI to assess pancreas fat fraction. Additionally, the prevalence of fatty pancreas was 51%–75% in children with cystic fibrosis [194], 57.1% in a systematic review of patients with Shwachman–Diamond syndrome [195], and 94% of children with Pearson syndrome [196]. These studies underscore the increasing recognition of fatty pancreas in pediatric populations, particularly in those with obesity, MASLD, or specific syndromes.
Question: What are the clinical consequences of fatty pancreas in children?
Statement 13.2: Fatty pancreas in children is increasingly recognized as a potential marker for metabolic syndrome, with its presence correlating with higher levels of abdominal adiposity.
Level of evidence: 3.
Consensus agreement: 95%
Comment: The growing prevalence of fatty pancreas in children, particularly in the context of rising childhood obesity and metabolic disorders, has raised significant clinical concerns. Studies have shown that fatty pancreas, assessed through MRI, is an independent predictor of metabolic syndrome [193]. In children, fatty pancreas is more common among those with obesity, with its prevalence ranging from 18% to 50% [191, 193, 197]. Notably, the degree of pancreatic fat correlates more with the absolute amount of abdominal adiposity rather than its distribution [198]. A study of Chinese children revealed that the odds of metabolic syndrome were significantly higher in children with both obesity and fatty pancreas [193]. Although pancreatic fat is located near insulin‐secreting beta‐cells and forms part of the total ectopic fat [197], the association between fatty pancreas and the development of type 2 DM in children remains inconclusive. Some studies suggest that children with both obesity and fatty pancreas may be at an increased risk for insulin resistance and beta‐cell dysfunction, while others find no significant link to glucose intolerance or prediabetes [190, 193, 197, 198, 199, 200]. Moreover, the presence of fatty pancreas in children may indicate a higher lifetime risk of cardiovascular diseases [201, 202]. While fatty pancreas may not cause immediate symptoms, studies in adults suggest it could predispose individuals to pancreatitis, PEI, or PC. However, no pediatric studies have yet confirmed these risks.
2.5.14. Chapter 14
Question: Is fatty pancreas associated with MASLD?
Statement 14.1: Fatty pancreas is associated with the presence of MASLD.
Level of evidence: 1.
Consensus agreement: 97%
Comment: . Fatty pancreas was strongly associated with MASLD when evaluated with transabdominal sonography [70, 203], CT [204], or MRI [205, 206]. The presence of fatty pancreas was associated with an increased risk of MASLD in two meta‐analysis172136, Furthermore, fatty pancreas had a strong association with advanced fibrosis in patients with MASLD [207]. Fatty pancreas was a significant predictor for the presence of MASLD in a histological study [86], and this relationship seems to be mediated by general obesity. However, a recent MRI study has found no correlation between fatty pancreas and MASLD [208]. Furthermore, fatty pancreas did not fully accompany MASLD. Despite having severe fatty pancreas, more than 25% of cases had normal liver echogenicity. Patients with fatty pancreas and those with fatty liver have partially different demographic characteristics [209].
Question: Is fatty pancreas associated with metabolic syndrome?
Statement 14.2: Fatty pancreas is associated with metabolic syndrome and its components, such as hypertension, hyperlipidemia, DM, and central overweight/obesity. As a consequence, fatty pancreas is associated with cardiovascular disease linked with metabolic syndrome.
Level of evidence: 2.
Consensus agreement: 97%
Comment: In a meta‐analysis, fatty pancreas was associated with a significantly increased risk of having metabolic syndrome, hypertension, type 2 DM, and central obesity [180]. The association between fatty pancreas and hyperlipidemia was not significant [180]. In cross‐sectional surveys, fatty pancreas was also associated with the occurrence of metabolic syndrome, type 2 DM, and hypertension [203]. The association of fatty pancreas with hyperlipidemia [57, 64, 204, 210], type 2 DM [57, 64, 206], obesity [57, 64, 204, 205], hypertension [64, 204], and metabolic syndrome [205] was confirmed in various retrospective and prospective cohort studies. A meta‐analysis showed that fatty pancreas was significantly associated with increased aortic and carotid intima‐media thickness and increased vascular stiffness [211], which are all markers of subclinical cardiovascular disease and established risk factors for developing future clinical cardiovascular disease‐related events.
2.5.15. Chapter 15
Question: Can fatty pancreas affect endocrine function and glucose homeostasis?
Statement 15.1: Fatty pancreas impacts the endocrine pancreas and may contribute to impaired insulin secretion and increased diabetes risk.
Level of evidence: 2.
Consensus agreement: 97%
Comment: Among 80 cross‐sectional studies identified, 80% report a significant positive association between fatty pancreas and impaired beta‐cell function, reduced insulin secretion, or the presence of prediabetes/diabetes. This association was evident across various methodologies for pancreatic fat quantification, including MRI [212], CT [213], and histological analysis [39]. Ten studies report a lack of a significant association that could not be explained by the reported study parameters [214]. One contributor to this heterogeneity is that beta‐cell susceptibility to fat‐induced suppression appears to be genetically determined [87, 215]. The association between fatty pancreas and beta‐cell function or the presence of (pre)diabetes appears to be modulated by several factors. First, stronger associations were observed in Asian populations [216], while weaker or absent associations were reported in populations with an African/Black ethnicity [217]. Second, both hepatic fat and measures of body weight are associated with fatty pancreas in most studies [26, 218]. Adjusting for these parameters reduces, but does not abolish, the relationship between fatty pancreas and beta‐cell function and (pre)diabetes, suggesting an independent impact [219]. Finally, stronger associations have been reported in individuals with a family history of DM and in males [87]. Several prospective observational studies with 3–5 years of follow‐up suggest that higher baseline pancreatic fat levels predict an increased risk of type 2 DM or accelerated glycemic deterioration, although these associations were often attenuated after adjusting for total adiposity. In a UK Biobank study, each quintile of increased pancreatic fat was associated with a 22% higher risk of developing DM over 4.6 years in more than 40,000 individuals [71]. A Japanese study found a similar association only in lean persons (BMI < 25 kg/m2), independent of hepatic fat and other confounders [213]. A Mendelian randomization analysis of UK Biobank data did not find a causal link between fatty pancreas and type 2 DM risk [220]. However, rare genetic syndromes have demonstrated a co‐occurrence of markedly elevated pancreatic fat with hyperglycemia or DM [221, 222, 223]. Several prospective interventional studies assessed whether a reduction of pancreatic fat is associated with improved glycemia or beta‐cell function. Overall, interventions achieving substantial weight loss, whether through dietary or bariatric surgical means, were effective in reducing fatty pancreas, which was accompanied by improvements in fasting glucose levels and insulin secretion. One study demonstrated that the reaccumulation of pancreatic fat was associated with reduced insulin secretion [31]. To date, no adequately powered trials with long follow‐up periods have specifically addressed the impact of pharmacotherapy on fatty pancreas and its metabolic consequences. In summary, while the number of confounding factors makes it difficult to assess the independent effect of pancreatic fat on beta‐cell function, multiple lines of evidence from human epidemiologic and intervention studies, alongside mechanistic studies using animal models [223, 224, 225, 226, 227, 228] and human pancreatic adipose tissue [84, 229, 230, 231] suggest that fatty pancreas impacts beta‐cell function and may contribute to DM in the context of other risk factors.
2.5.16. Chapter 16
Question: What is the recommended approach for the treatment and monitoring of patients with fatty pancreas?
Statement 16.1: There is no specific recommendation to treat fatty pancreas. Treatment relies on the underlying etiology. In case of metabolic syndrome, targeted lifestyle changes, bariatric surgery, and glucose‐lowering medications are effective in reducing fat in the pancreas and total pancreatic volume.
Level of evidence: 1.
Consensus agreement: 95%
Statement 16.2: There are currently no specific recommendations for the follow‐up of individuals with fatty pancreas. Monitoring is tailored to the underlying pancreatic diseases and associated metabolic risk factors.
Level of evidence: 4.
Consensus agreement: 93%
Comment: Significant reductions in pancreatic fat (from 2% to 42%) were observed in patients administered restrictive diets, physical activities, or medications. Observational series and five randomized controlled trials confirmed the benefits of restrictive diets (low‐calorie and low‐fat diets) and physical training on fatty pancreas [232, 233, 234, 235, 236, 237, 238, 239]. The minimum duration of intervention to obtain a significant result was 6 weeks.
The types of medications tested to reduce the risk of fatty pancreas in randomized controlled trials were glucose‐lowering medications [thiazolidinediones, dipeptidyl peptidase‐4 (DPP‐4) inhibitors, glucagon‐like peptide‐1 receptor (GLP‐1) agonists, sodium‐glucose cotransporter‐2 (SGLT2) inhibitors and somatostatin receptor agonists]. In contrast, insulin, known to promote the storage of excess glucose as fat, was not expected to be beneficial in patients with pancreatic fat. One randomized placebo‐controlled trial of thiazolidinediones showed a significant reduction of fatty pancreas in preliminary results. Four randomized controlled trials investigated the potential role of GLP‐1 receptor agonists in individuals with type 2 DM. A relative reduction of fat between 10% and 23% was observed. The administration of a DPP‐4 inhibitor in a randomized placebo‐controlled trial of individuals with type 2 DM showed a relative reduction of fat of 16%. Regarding the physiopathological mechanisms, these results were associated with a decrease of the endoplasmic reticulum stress. A double‐blind, placebo‐controlled trial showed that empagliflozin, a SGLT2 inhibitor, decreases hepatic fat and fasting glucose in overweight and obese individuals with prediabetes, while pancreatic fat remains unchanged, indicating that its metabolic benefits are independent of alterations in pancreatic fat [240]. Similarly, dapagliflozin has been shown to reduce both hepatic and pancreatic fat and to improve markers of liver inflammation, including serum alanine aminotransferase, tumor necrosis factor‐α, and interleukin‐6, in individuals with type 2 diabetes [241]. A 12‐week, randomized, double‐blind, parallel‐group study comparing liraglutide and sitagliptin reported only transient, modest increases in plasma pancreatic enzyme concentrations, with pancreatic exocrine function largely preserved, apart from a minimal sitagliptin‐induced increase in intraduodenal fluid secretion [242]. However, the results of these trials are debatable because the sample sizes were small and the results were controversial [239, 242]. No effects were observed with thiazolidinediones, fibrates or sulfonylureas.
Metabolic (or bariatric) surgery has shown a significant decrease in pancreatic fat post‐surgery (from 26% to 67%) in all investigated observational studies [237, 243, 244, 245, 246]. The median follow‐up periods were 6–12 months. Nonetheless, the relationship between weight loss and fat reduction remains questionable as their association has not yet been clearly demonstrated, despite fat deposition being associated with obesity and despite all patients losing weight after surgery [243, 244, 245, 246]. No data dealing with treatment approaches for fatty pancreas as a consequence of hereditary diseases or pancreatic tumors exists. Therefore, we can assume that the pathophysiological process surrounding this procedure is different and that the rationale for using medical and surgical approaches is not valid.
Furthermore, the role of fatty pancreas in oncogenesis was also investigated, and a significant relationship was confirmed between pancreatic fat and both pancreatic inflammation and PC or pre‐malignant lesions (PanIN, intraductal papillary mucinous neoplasm). However, this potential risk factor and the relative risk of cancer associated with fatty pancreas have not yet been determined to be indications for cancer screening [1, 2, 17, 99, 160, 247, 248].
3. Conclusion
This international multidisciplinary consensus report represents the first comprehensive effort to define and characterize fatty pancreas. In summary, fatty pancreas may be defined as an accumulation of fat due to various etiologies but an unknown pathophysiology, and may be diagnosed via imaging and EUS. The hallmark of fatty pancreas is the presence of intralobular and/or extralobular adipocytes. However, there is currently no universally accepted, validated objective method for histologically assessing the severity of fatty pancreas. A major achievement of this initiative was the agreement on standardized terminology, with “fatty pancreas” being established as the preferred and inclusive term. Consensus was also reached on key diagnostic imaging findings, including radiological and endoscopic features, providing a necessary framework for consistent clinical evaluation and future research. Both the MRI‐PDFF‐based severity grading and the proposed EUS classification represent consensus‐based expert recommendations rather than evidence‐validated thresholds. These grading systems should be considered preliminary and hypothesis‐generating tools that aim to provide a foundation for future studies, rather than definitive clinical criteria at this stage.
Beyond terminology and diagnostics, this report reviews current evidence across a wide spectrum of topics. These include the etiology and epidemiology of fatty pancreas, as well as its associations with alcohol use and smoking. The panel also addressed its potential role in AP and CP, PEI, and surgical complications. Moreover, the relationship between fatty pancreas and IPMN, PC, and metabolic conditions (such as MASLD, metabolic syndrome, and impaired beta‐cell function) was evaluated. The prevalence and implications of fatty pancreas in pediatric populations were also considered.
Importantly, this report highlights substantial gaps in evidence, particularly a lack of prospective, high‐quality clinical studies (Table 3). These findings underscore the urgent need for further research to clarify the clinical significance of fatty pancreas and to develop evidence‐based strategies for the treatment and monitoring of patients with this condition. We hope that this consensus will serve as a foundational reference to guide future research and promote the development of evidence‐based clinical guidelines in the field of fatty pancreas.
TABLE 3.
Summary of key knowledge gaps and unmet research needs.
| Domain | Knowledge gaps and unmet research needs |
|---|---|
| Etiology |
• The precise cellular origin of intrapancreatic adipocytes remains unclear, with competing hypotheses (e.g., cellular transdifferentiation, stem cell differentiation, adipocyte precursor infiltration) requiring further validation in human and animal models. • The relative contributions of metabolic, genetic, inflammatory, and obstructive factors in the pathogenesis of fatty pancreas are not well quantified, especially in non‐obese individuals. • The current understanding of the mechanistic links between fatty pancreas and type 2 diabetes mellitus is limited, particularly regarding reversibility following metabolic improvement. • Most etiological data are derived from animal studies; there is a need for longitudinal human studies to confirm the proposed mechanisms of adipocyte accumulation and fat replacement in the pancreas. • A standardized etiological classification (distinguishing metabolic, anatomical, and genetic contributors) is needed to guide research and clinical practice. |
| Alcohol and smoking |
• Current evidence from human studies is limited, heterogeneous, and primarily cross‐sectional; robust longitudinal studies are needed to clarify causal relationships. • The independent and combined effects of alcohol consumption and smoking on fatty pancreas remain poorly defined, especially in populations without metabolic syndrome. • There is a lack of mechanistic studies exploring how alcohol or smoking might influence the development of fatty pancreas or fat redistribution at the cellular level. • No studies have systematically assessed whether reducing or stopping alcohol and smoking can prevent the onset or progression of fatty pancreas. • Further research is needed to determine whether alcohol and smoking act as modifiers in specific subgroups (e.g., those with pancreatitis, genetic predisposition, or high visceral adiposity). |
| Epidemiology |
• The absence of standardized diagnostic criteria across imaging modalities and studies leads to substantial variability in reported prevalence rates. • Reliable population‐level prevalence estimates are lacking due to heterogeneity in study design, patient selection, and regional data gaps. • The influence of demographic and metabolic risk factors on prevalence (e.g., age, sex, body mass index, metabolic syndrome) remains inconsistently reported and inadequately stratified. • Few studies have systematically assessed the epidemiology of fatty pancreas in non‐obese, younger, or ethnically diverse populations. • There is a need for large, prospective, population‐based studies using harmonized diagnostic definitions and imaging protocols to better characterize the associations between prevalence and risk factors. |
| Histopathology |
• A systematic characterization of the histomorphology of fatty pancreas, including the distribution of fatty infiltration and changes other than adipocyte infiltration (e.g., fibrosis and inflammation), in patients with various underlying conditions is lacking. • There is no commonly accepted or validated histological grading system for fatty pancreas severity. • Most human histological data are derived from surgical specimens, which may be biased by underlying pathology or surgical technique. • There is an unmet need for automated, quantitative histological analysis tools to enable reproducible assessment and to correlate findings with imaging, clinical, and prognostic features. |
| Radiology |
• Standardized diagnostic criteria for transabdominal ultrasound are lacking. Current grading systems lack validation, and interobserver variability remains high due to technical and anatomical limitations. • Optimal computed tomography (CT) protocols for detecting mild fatty pancreas are undefined. While hounsfield unit (HU) measurements show promise, variations in scanner parameters and contrast dosing reduce reproducibility, and “invisible fat” remains a diagnostic challenge. • Magnetic resonance imaging‐proton density fat fraction (MRI‐PDFF) is the gold standard; however, it lacks universal cutoff values for clinical significance. Proposed thresholds require validation in diverse populations and correlation with long‐term outcomes. • The clinical utility of artificial intelligence (AI)‐based quantification tools is not yet established. Despite promising results in automated fat measurement, multicenter validation and integration into routine practice are needed. |
| Endoscopic ultrasound |
• No validated endoscopic ultrasound (EUS) classification system exists for staging fatty pancreas severity. Current qualitative assessments (e.g., hyperechogenicity) lack standardization, and proposed grading systems require multicenter validation. • Interobserver variability in EUS‐based diagnosis remains unaddressed. Subjective echogenicity interpretation is influenced by operator experience and machine settings, limiting reproducibility. • Advanced EUS technologies [e.g., shear wave elastography (SWE) and AI] lack clinical validation. • The role of EUS in differentiating focal fat from neoplasms is undefined. False‐positive hypoechoic “lesions” due to heterogeneous fat distribution warrant evidence‐based imaging algorithms. |
| Acute pancreatitis (AP) |
• The causal relationship between fatty pancreas and AP remains unproven. While observational studies and mendelian randomization suggest an association, confounding metabolic factors require further adjustment in prospective cohorts. • The impact of fatty pancreas on AP severity is inconsistently reported. Discrepancies exist across etiologies (e.g., post‐ERCP vs. biliary AP), and data on complications/mortality are limited. • Mechanisms linking the development of fatty pancreas to AP pathogenesis are unclear. Potential roles of lipotoxicity, inflammation, or adipokine dysregulation need experimental validation. • The influence of fat distribution (diffuse vs. focal) on AP susceptibility is unstudied. Heterogeneous patterns of fatty pancreas may differentially affect ductal obstruction or local inflammation. |
| Chronic pancreatitis and pancreatic exocrine insufficiency (PEI) |
• The relationship between fatty pancreas and PEI remains unclear. • The impact of fat quantity and distribution on exocrine function is undefined. Thresholds of pancreatic fat content associated with clinically significant PEI are lacking. • Longitudinal data on fatty pancreas progression to chronic pancreatitis are absent. • Development of non‐invasive diagnostic tests for detecting fatty pancreas. • Development of clinical scoring systems to predict the presence or risk of fatty pancreas. |
| Intraductal papillary mucinous neoplasms (IPMN) |
• The nature of the association between fatty pancreas and IPMN remains unclear. • The role of fatty pancreas in IPMN progression is not established. Limited data suggest that fat content may increase with malignant progression; however, the currently available evidence is conflicting. Longitudinal studies tracking fat quantity and dysplasia grade over time are missing. • Mechanistic links (e.g., lipotoxicity, inflammation) are unexplored. Hypotheses include adipokine‐driven tumorigenesis or ductal obstruction by fat, but experimental models are lacking. • Clinical implications of fatty pancreas for IPMN surveillance are undefined. Current data are insufficient to justify modifying follow‐up strategies based on fatty pancreas. |
| Pancreatic cancer |
• The causal relationship between fatty pancreas and pancreatic cancer remains unproven. Experimental models are necessary to investigate lipotoxicity, chronic inflammation, or adipokine‐driven carcinogenesis. • Thresholds of fatty pancreas that confer cancer risk are undefined. • The role of fat distribution (diffuse vs. focal) in pancreatic cancer pathogenesis is unstudied. Regional fat accumulation near ducts or lesions may differentially promote tumorigenesis. • Confounding by metabolic comorbidities is incompletely addressed. Large cohorts with adjusted analyses are required to isolate fat‐specific effects. • The clinical utility of fatty pancreas as a pancreatic cancer screening marker remains uncertain. Prospective validation of its predictive value alongside established risk factors is warranted. |
| Surgical complications |
• The impact of fatty pancreas on specific surgical complications requires clarification. While fatty pancreas is associated with postoperative pancreatic fistula (POPF) and anastomotic leaks, the relative contributions of fat infiltration versus acinar cell loss remain undefined. • Standardized preoperative imaging criteria for predicting surgical risk are lacking. • The mechanisms linking fatty pancreas to poor healing are unproven. Hypotheses include impaired tissue integrity, metabolic dysfunction (e.g., insulin resistance), and chronic inflammation, but experimental validation is needed. • Optimal preoperative optimization strategies for fatty pancreas patients are undefined. While weight loss and glycemic control are proposed, evidence‐based protocols are absent. • The role of fat distribution (peripancreatic vs. intraparenchymal) in complications is unstudied. Regional fatty pancreas may differentially affect anastomotic healing. |
| Pediatric fatty pancreas |
• Standardized diagnostic criteria for pediatric fatty pancreas are lacking. It is important to establish age‐specific imaging cutoffs. • The long‐term metabolic consequences of childhood fatty pancreas remain undefined. While associated with metabolic syndrome and abdominal adiposity, causal links to insulin resistance, type 2 diabetes mellitus, and cardiovascular disease require longitudinal studies. • Syndrome‐specific risk stratification is absent. The clinical significance of fatty pancreas in cystic fibrosis, Shwachman–Diamond syndrome, and Pearson syndrome (where prevalence exceeds 50%) is poorly characterized. Prospective cohorts tracking pancreatic function and comorbidities are necessary. • Mechanisms driving fat accumulation are unstudied. Developmental differences in adipogenesis, inflammation, or genetic susceptibility may exist, but lack experimental validation. |
| Metabolic dysfunction‐associated steatotic liver disease (MASLD) and metabolic syndrome |
• The directionality of the fatty pancreas‐MASLD association remains unclear. While strong correlations exist, it is unknown whether fatty pancreas drives MASLD progression or vice versa. • Demographic differences in pancreas‐liver fat discordance are unexplained. • The clinical utility of fatty pancreas as a metabolic syndrome marker is unproven. Prospective validation is necessary to determine whether pancreatic fat quantification enhances risk prediction beyond established criteria. |
| Beta‐cell function and glucose homeostasis |
• The causal role of fatty pancreas in beta‐cell dysfunction remains debated. Large‐scale genetic studies using tissue‐specific instruments are needed to clarify causality. • Ethnic and sex‐specific susceptibility to fat‐induced beta‐cell impairment is unexplained. Stronger associations in Asian populations and males suggest the presence of genetic or hormonal modifiers that require further investigation. • Long‐term data on pharmacotherapy for fatty pancreas are lacking. No trials have evaluated diabetes medications specifically targeting pancreatic fat reduction. • Mechanisms linking fat accumulation to beta‐cell failure are incompletely understood. Potential pathways (e.g., lipotoxicity, inflammation) require validation in human pancreatic samples or imaging‐biomarker studies. |
| Treatment and monitoring |
• Evidence‐based guidelines for fatty pancreas management are lacking. Current approaches are extrapolated from metabolic syndrome treatments; however, pancreas‐specific protocols (e.g., fat‐reduction targets, monitoring intervals) remain undefined. • The efficacy of interventions varies widely across studies. While lifestyle changes and bariatric surgery reduce pancreatic fat (2%–67%), optimal duration/intensity and long‐term sustainability are unestablished. Studies comparing dietary, pharmacological, and surgical strategies are needed. • Standardized monitoring protocols are absent. Development of risk‐adapted algorithms based on etiology and comorbidities are needed. |
Abbreviations: AP, Acute pancreatitis; IPMN, Intraductal papillary mucinous neoplasms; MASLD, Metabolic dysfunction‐associated steatotic liver disease; PEI, pancreatic exocrine insufficiency.
Funding
Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey. Swedish Society for Development of Pancreatology (SweSUP), Stockholm, Sweden.
Conflicts of Interest
Enclosed as a supplementary material.
Supporting information
Supporting Information S1
Supporting Information S2
Supporting Information S3
Figure S4: Accumulation of adipocytes both within lobules (intralobular; arrows) and in the interlobular space (extralobular; asterisks).
Figure S5: Rare occurrence of adipocytes inside an islet of Langerhans (asterisk). Some intralobular adipocytes (arrows) are also present.
Figure S6: Sparse remnants of acinar parenchyma (a; arrows) and islets of Langerhans (b; arrows) amid sheets of adipocytes in advanced fatty pancreas.
Figure S7: Pancreatic parenchyma with fatty pancreas‐related changes and surrounding peripancreatic fat (a). A line connecting the most peripheral (remnants of) parenchyma demarcates peripancreatic fat (yellow) from extralobular fat (green; intralobular fat: red) (b).
Figure S8: Different types of fatty pancreas in some patients: (a) more pronounced at the head and body, (b) due to focal pancreatitis sequela in the body, (c) patchy nodular fat in the distal pancreas.
Figure S9: Focal fat in the pancreatic head (*) simulating a mass on computed tomography (a), in‐phase (b), and opposed‐phase (c) images. A signal drop is consistent with the presence of focal fat.
Figure S10: Distal fatty pancreas due to a proximal neuroendocrine tumor in the pancreatic body (white arrow).
Figure S11: Lipomatous pseudohypertrophy of the pancreas with enlargement of the pancreatic tissue with adipose tissue (white arrows).
Figure S12: Distal pancreatic agenesis and a dependent stomach. The splenic vein is shown touching the stomach.
Figure S13: Patient with a pancreatic fat‐containing mass (*) on computed tomography (a, b) with a solid component diagnosed with pancreatoblastoma. In in‐phase (c) and opposed‐phase (d) images, there is no signal drop due to the presence of microscopic fat.
Figure S14: Two patients with cystic fibrosis (a) and Schwachman–Diamond Syndrome (b) with diffuse fatty pancreas imaged using computed tomography.
Figure S15a: Shown are (a) endoscopic ultrasound (EUS)‐normal pancreas, (e) EUS‐mild‐to‐moderate fatty pancreas (body and tail).
Figure S15b: (b) EUS‐mild‐to‐moderate fatty pancreas (head).
Figure S15c: (c) EUS‐severe fatty pancreas (head).
Figure S15d: (d) EUS‐normal pancreas.
Figure S15e: (e) EUS‐mild‐to‐moderate fatty pancreas (body and tail).
Figure S15f: (f) EUS‐severe fatty pancreas (body and tail).
Table S1: Participating societies.
Table S2: Overview of the working groups.
Acknowledgments
The authors wish to express their sincere gratitude to the participating societies and patient associations for their invaluable support and endorsement of this consensus report. We are also deeply thankful for the financial support provided by Acibadem Mehmet Ali Aydinlar University and the Swedish Society for the Development of Pancreatology. Our heartfelt thanks go to Dawn Swibold (General Manager at the EPC) and Martina Kopold (Assistant to the General Manager at the EPC) for the project management and assistance. We sincerely thank Patrick Jacquemin (Université Catholique de Louvain, de Duve Institute SSS/DDUV, Brussels, Belgium) for his valuable involvement in the project. This article was reviewed and endorsed by the European Association for the Study of Diabetes (EASD), with the implicit understanding that the EASD support specifically refers to the diabetes‐related content and its implications.
Vujasinovic, Miroslav , Demir Ihsan E., Marchegiani Giovanni, et al. 2026. “International Multidisciplinary Consensus Report on Definitions, Diagnostic Criteria, and Management of Fatty Pancreas: A Joint Statement Endorsed by EPC, APA, EASD, EASL, ESGAR, ESGE, ESP, ESPCG, ESPEN, ESPGHAN, IAP, JPS, KPBA, LAPSG, and UEG,” United European Gastroenterology Journal: e70185. 10.1002/ueg2.70185.
Data Availability Statement
Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.
References
- 1. Wagner R., Eckstein S. S., Yamazaki H., et al., “Metabolic Implications of Pancreatic Fat Accumulation,” Nature Reviews Endocrinology 18, no. 1 (2022): 43–54, 10.1038/s41574-021-00573-3. [DOI] [PubMed] [Google Scholar]
- 2. Smits M. M. and van Geenen E. J., “The Clinical Significance of Pancreatic Steatosis,” Nature Reviews Gastroenterology & Hepatology 8, no. 3 (2011): 169–177, 10.1038/nrgastro.2011.4. [DOI] [PubMed] [Google Scholar]
- 3. Ogilvie R., “The Island of Langerhans in 19 Cases of Obesity,” Journal of Pathology 37, no. 3 (1933): 473–481, 10.1002/path.1700370314. [DOI] [Google Scholar]
- 4. Váncsa S., Sipos Z., Váradi A., et al., “Metabolic‐Associated Fatty Liver Disease is Associated With Acute Pancreatitis With More Severe Course: Post Hoc Analysis of a Prospectively Collected International Registry,” United European Gastroenterology Journal 11, no. 4 (2023): 371–382, 10.1002/ueg2.12389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Vlăduț C., Steiner C., Löhr M., et al., “High Prevalence of Pancreatic Steatosis in Pancreatic Cancer Patients: A Meta‐Analysis and Systematic Review,” Pancreatology 25, no. 1 (2025): 98–107, 10.1016/j.pan.2024.11.010. [DOI] [PubMed] [Google Scholar]
- 6. Boltin D., Lambregts D. M., Jones F., et al., “UEG Framework for the Development of High‐Quality Clinical Guidelines,” United European Gastroenterology Journal 8, no. 8 (2020): 851–864, 10.1177/2050640620950854. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Dominguez‐Muñoz J. E., Vujasinovic M., de la Iglesia D., et al., “European Guidelines for the Diagnosis and Treatment of Pancreatic Exocrine Insufficiency: UEG, EPC, EDS, ESPEN, ESPGHAN, ESDO, and ESPCG Evidence‐Based Recommendations,” United European Gastroenterology Journal 13, no. 1 (2025): 125–172, 10.1002/ueg2.12674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Löhr J. M., Beuers U., Vujasinovic M., et al., “European Guideline on IgG4‐Related Digestive Disease ‐ UEG and SGF Evidence‐Based Recommendations,” United European Gastroenterology Journal 8, no. 6 (2020): 637–666, 10.1177/2050640620934911. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Löhr J. M., Dominguez‐Munoz E., Rosendahl J., et al., “United European Gastroenterology Evidence‐Based Guidelines for the Diagnosis and Therapy of Chronic Pancreatitis (HaPanEU),” United European Gastroenterology Journal 5, no. 2 (2017): 153–199, 10.1177/2050640616684695. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Malagelada C., Keller J., Sifrim D., et al., “European Guideline on Chronic Nausea and Vomiting‐A UEG and ESNM Consensus for Clinical Management,” United European Gastroenterology Journal (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Speckman R. A. and Friedly J. L., “Asking Structured, Answerable Clinical Questions Using the Population, Intervention/Comparator, Outcome (PICO) Framework,” PM&R 11, no. 5 (2019): 548–553, 10.1002/pmrj.12116. [DOI] [PubMed] [Google Scholar]
- 12. Howick J., Chalmers I., Glasziou P., et al., Oxford Centre for Evidence‐Based Medicine 2011 Levels of Evidence. Centre for Evidence‐Based Medicine, (2011): Retrieved July from, https://www.cebm.net/wp‐content/uploads/2014/06/CEBM‐Levels‐of‐Evidence‐2.1.pdf.
- 13. Likert R., “A Technique for the Measurement of Attitudes” (Science Press, 1932), https://catalog.nlm.nih.gov/discovery/fulldisplay/alma9916816193406676/01NLM_INST:01NLM_INST. [Google Scholar]
- 14. Boone H. and Boone D., “Analyzing Likert Data,” Journal of Extension 50, no. 2 (2012), 10.34068/joe.50.02.48. [DOI] [Google Scholar]
- 15. Olsen T. S., “Lipomatosis of the Pancreas in Autopsy Material and Its Relation to Age and Overweight,” Acta Pathologica et Microbiologica Scandinavica 86a, no. 5 (1978): 367–373, 10.1111/j.1699-0463.1978.tb02058.x. [DOI] [PubMed] [Google Scholar]
- 16. Gullo L., Salizzoni E., Serra C., Calculli L., Bastagli L., and Migliori M., “Can Pancreatic Steatosis Explain the Finding of Pancreatic Hyperenzymemia in Subjects With Dyslipidemia?,” Pancreas 33, no. 4 (2006): 351–353, 10.1097/01.mpa.0000240603.26312.2a. [DOI] [PubMed] [Google Scholar]
- 17. Wang H., Maitra A., and Wang H., “Obesity, Intrapancreatic Fatty Infiltration, and Pancreatic Cancer,” Clinical Cancer Research 21, no. 15 (2015): 3369–3371, 10.1158/1078-0432.ccr-15-0718. [DOI] [PubMed] [Google Scholar]
- 18. Souza M., Silva G. P., Junior C. R. O., Amaral M. J. M., Lima L. C. V., and Charatcharoenwitthaya P., “Prevalence, Clinical Characteristics, and Outcomes of Fatty Pancreas Disease: An Updated Systematic Review and Meta‐Analysis,” European Journal of Gastroenterology and Hepatology 37, no. 2 (2025): 137–146, 10.1097/meg.0000000000002893. [DOI] [PubMed] [Google Scholar]
- 19. Robson H. N. and Scott G. B., “Lipomatous Pseudohypertrophy of the Pancreas,” Gastroenterology 23, no. 1 (1953): 74–81, 10.1016/s0016-5085(53)80090-9. [DOI] [PubMed] [Google Scholar]
- 20. Mathur A., Marine M., Lu D., et al., “Nonalcoholic Fatty Pancreas Disease,” HPB 9, no. 4 (2007): 312–318, 10.1080/13651820701504157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Singh R. G., Nguyen N. N., DeSouza S. V., Pendharkar S. A., and Petrov M. S., “Comprehensive Analysis of Body Composition and Insulin Traits Associated With Intra‐Pancreatic Fat Deposition in Healthy Individuals and People With New‐Onset prediabetes/Diabetes After Acute Pancreatitis,” Diabetes, Obesity and Metabolism 21, no. 2 (2019): 417–423, 10.1111/dom.13523. [DOI] [PubMed] [Google Scholar]
- 22. Kim M. K., Chun H. J., Park J. H., et al., “The Association Between Ectopic Fat in the Pancreas and Subclinical Atherosclerosis in Type 2 Diabetes,” Diabetes Research and Clinical Practice 106, no. 3 (2014): 590–596, 10.1016/j.diabres.2014.09.005. [DOI] [PubMed] [Google Scholar]
- 23. Marks W. M., Filly R. A., and Callen P. W., “Ultrasonic Evaluation of Normal Pancreatic Echogenicity and Its Relationship to Fat Deposition,” Radiology 137, no. 2 (1980): 475–479, 10.1148/radiology.137.2.7433680. [DOI] [PubMed] [Google Scholar]
- 24. Redfield E. S. Jr, “Isolated Fat Replacement of Body and Tail of Pancreas; Report of a Case,” United States Armed Forces medical journal 1, no. 11 (1950): 1313–1321, https://pubmed.ncbi.nlm.nih.gov/14782326/. [PubMed] [Google Scholar]
- 25. Walters M. N., “Adipose Atrophy of the Exocrine Pancreas,” Journal of Pathology & Bacteriology 92, no. 2 (1966): 547–557, 10.1002/path.1700920232. [DOI] [PubMed] [Google Scholar]
- 26. Targher G., Rossi A. P., Zamboni G. A., et al., “Pancreatic Fat Accumulation and Its Relationship With Liver Fat Content and Other Fat Depots in Obese Individuals,” Journal of Endocrinological Investigation 35, no. 8 (2012): 748–753, 10.3275/8011. [DOI] [PubMed] [Google Scholar]
- 27. Rinella M. E., Lazarus J. V., Ratziu V., et al., “A Multisociety Delphi Consensus Statement on New Fatty Liver Disease Nomenclature,” Journal of Hepatology 79, no. 6 (2023): 1542–1556, 10.1016/j.jhep.2023.06.003. [DOI] [PubMed] [Google Scholar]
- 28. Lilly A. C., Astsaturov I., and Golemis E. A., “Intrapancreatic Fat, Pancreatitis, and Pancreatic Cancer,” Cellular and Molecular Life Sciences 80, no. 8 (2023): 206, 10.1007/s00018-023-04855-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Stamm B. H., “Incidence and Diagnostic Significance of Minor Pathologic Changes in the Adult Pancreas at Autopsy: A Systematic Study of 112 Autopsies in Patients Without Known Pancreatic Disease,” Human Pathology 15, no. 7 (1984): 677–683, 10.1016/s0046-8177(84)80294-4. [DOI] [PubMed] [Google Scholar]
- 30. Coulier B., “Pancreatic Lipomatosis: An Extensive Pictorial Review,” Journal of the Belgian Society of Radiology 100, no. 1 (2016): 39, 10.5334/jbr-btr.1014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Al‐Mrabeh A., Zhyzhneuskaya S. V., Peters C., et al., “Hepatic Lipoprotein Export and Remission of Human Type 2 Diabetes After Weight Loss,” Cell Metabolism 31, no. 2 (2020): 233–249.e4, 10.1016/j.cmet.2019.11.018. [DOI] [PubMed] [Google Scholar]
- 32. Raitano E., Cannella R., Messana D., Matteini F., and Brancatelli G., “The Role of Fat in Pancreatic Diseases: From Pathology to Imaging,” Journal of Medical Imaging and Interventional Radiology 11, no. 1 (2024): 26, 10.1007/s44326-024-00025-y. [DOI] [Google Scholar]
- 33. Soyer P., Spelle L., Pelage J. P., et al., “Cystic Fibrosis in Adolescents and Adults: Fatty Replacement of the Pancreas‐‐CT Evaluation and Functional Correlation,” Radiology 210, no. 3 (1999): 611–615, 10.1148/radiology.210.3.r99mr08611. [DOI] [PubMed] [Google Scholar]
- 34. Löhr M., Goertchen P., Nizze H., et al., “Cystic Fibrosis Associated Islet Changes May Provide a Basis for Diabetes: An Immunocytochemical and Morphometrical Study,” Virchows Archiv A Pathological Anatomy and Histopathology 414, no. 2 (1989): 179–185, 10.1007/bf00718598. [DOI] [PubMed] [Google Scholar]
- 35. Raeder H., Haldorsen I. S., Ersland L., et al., “Pancreatic Lipomatosis is a Structural Marker in Nondiabetic Children With Mutations in Carboxyl‐Ester Lipase,” Diabetes 56, no. 2 (2007): 444–449, 10.2337/db06-0859. [DOI] [PubMed] [Google Scholar]
- 36. Catanzaro R., Cuffari B., Italia A., and Marotta F., “Exploring the Metabolic Syndrome: Nonalcoholic Fatty Pancreas Disease,” World Journal of Gastroenterology 22, no. 34 (2016): 7660–7675, 10.3748/wjg.v22.i34.7660. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Pinnick K. E., Collins S. C., Londos C., Gauguier D., Clark A., and Fielding B. A., “Pancreatic Ectopic Fat is Characterized by Adipocyte Infiltration and Altered Lipid Composition,” Obesity 16, no. 3 (2008): 522–530, 10.1038/oby.2007.110. [DOI] [PubMed] [Google Scholar]
- 38. Tong X., Dai C., Walker J. T., et al., “Lipid Droplet Accumulation in Human Pancreatic Islets is Dependent on Both Donor Age and Health,” Diabetes 69, no. 3 (2020): 342–354, 10.2337/db19-0281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Horii T., Kozawa J., Fujita Y., et al., “Lipid Droplet Accumulation in β Cells in Patients With Type 2 Diabetes is Associated With Insulin Resistance, Hyperglycemia and β Cell Dysfunction Involving Decreased Insulin Granules,” Frontiers in Endocrinology 13 (2022): 996716, 10.3389/fendo.2022.996716. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Olzmann J. A. and Carvalho P., “Dynamics and Functions of Lipid Droplets,” Nature Reviews Molecular Cell Biology 20, no. 3 (2019): 137–155, 10.1038/s41580-018-0085-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Navina S., Acharya C., DeLany J. P., et al., “Lipotoxicity Causes Multisystem Organ Failure and Exacerbates Acute Pancreatitis in Obesity,” Science Translational Medicine 3, no. 107 (2011): 107ra10, 10.1126/scitranslmed.3002573. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Schmitz‐Moormann P., Pittner P. M., and Heinze W., “Lipomatosis of the Pancreas. A Morphometrical Investigation,” Pathology, Research & Practice 173, no. 1–2 (1981): 45–53, 10.1016/s0344-0338(81)80006-4. [DOI] [PubMed] [Google Scholar]
- 43. Acharya C., Cline R. A., Jaligama D., et al., “Fibrosis Reduces Severity of acute‐on‐chronic Pancreatitis in Humans,” Gastroenterology 145, no. 2 (2013): 466–475, 10.1053/j.gastro.2013.05.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Simsek H. and Singh M., “Effect of Prolonged Ethanol Intake on Pancreatic Lipids in the Rat Pancreas,” Pancreas 5, no. 4 (1990): 401–407, 10.1097/00006676-199007000-00005. [DOI] [PubMed] [Google Scholar]
- 45. Wilson J. S., Colley P. W., Sosula L., Pirola R. C., Chapman B. A., and Somer J. B., “Alcohol Causes a Fatty Pancreas: A Rat Model of Ethanol‐Induced Pancreatic Steatosis,” Alcoholism: Clinical and Experimental Research 6, no. 1 (1982): 117–121, 10.1111/j.1530-0277.1982.tb05389.x. [DOI] [PubMed] [Google Scholar]
- 46. Stuart C. E., Ko J., Modesto A. E., et al., “Implications of Tobacco Smoking and Alcohol Consumption on Ectopic Fat Deposition in Individuals After Pancreatitis,” Pancreas 49, no. 7 (2020): 924–934, 10.1097/mpa.0000000000001600. [DOI] [PubMed] [Google Scholar]
- 47. Wang C. Y., Ou H. Y., Chen M. F., Chang T. C., and Chang C. J., “Enigmatic Ectopic Fat: Prevalence of Nonalcoholic Fatty Pancreas Disease and Its Associated Factors in a Chinese Population,” Journal of the American Heart Association 3, no. 1 (2014): e000297, 10.1161/jaha.113.000297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Yamazaki H., Tauchi S., Kimachi M., et al., “Association Between Pancreatic Fat and Incidence of Metabolic Syndrome: A 5‐Year Japanese Cohort Study,” Journal of Gastroenterology and Hepatology 33, no. 12 (2018): 2048–2054, 10.1111/jgh.14266. [DOI] [PubMed] [Google Scholar]
- 49. Wong V. W., Wong G. L., Yeung D. K., et al., “Fatty Pancreas, Insulin Resistance, and β‐Cell Function: A Population Study Using Fat‐Water Magnetic Resonance Imaging,” American Journal of Gastroenterology 109, no. 4 (2014): 589–597, 10.1038/ajg.2014.1. [DOI] [PubMed] [Google Scholar]
- 50. Sepe P. S., Ohri A., Sanaka S., et al., “A Prospective Evaluation of Fatty Pancreas by Using EUS,” Gastrointestinal Endoscopy 73, no. 5 (2011): 987–993, 10.1016/j.gie.2011.01.015. [DOI] [PubMed] [Google Scholar]
- 51. Fujii M., Ohno Y., Yamada M., Kamada Y., and Miyoshi E., “Impact of Fatty Pancreas and Lifestyle on the Development of Subclinical Chronic Pancreatitis in Healthy People Undergoing a Medical Checkup,” Environmental Health and Preventive Medicine 24, no. 1 (2019): 10, 10.1186/s12199-019-0763-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Muftah A. A., Pecha R. L., Riojas Barrett M., et al., “Pancreatic Parenchymal Changes Seen on Endoscopic Ultrasound Are Dynamic in the Setting of Fatty Pancreas: A Short‐Term Follow‐Up Study,” Pancreatology 22, no. 8 (2022): 1187–1194, 10.1016/j.pan.2022.10.006. [DOI] [PubMed] [Google Scholar]
- 53. Lee J. S., Kim S. H., Jun D. W., et al., “Clinical Implications of Fatty Pancreas: Correlations Between Fatty Pancreas and Metabolic Syndrome,” World Journal of Gastroenterology 15, no. 15 (2009): 1869–1875, 10.3748/wjg.15.1869. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Wu W. C. and Wang C. Y., “Association Between Non‐Alcoholic Fatty Pancreatic Disease (NAFPD) and the Metabolic Syndrome: Case‐Control Retrospective Study,” Cardiovascular Diabetology 12, no. 1 (2013): 77, 10.1186/1475-2840-12-77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Lesmana C. R., Pakasi L. S., Inggriani S., Aidawati M. L., and Lesmana L. A., “Prevalence of Non‐Alcoholic Fatty Pancreas Disease (NAFPD) and Its Risk Factors Among Adult Medical Check‐Up Patients in a Private Hospital: A Large Cross Sectional Study,” BMC Gastroenterology 15, no. 1 (2015): 174, 10.1186/s12876-015-0404-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Uygun A., Kadayifci A., Demirci H., et al., “The Effect of Fatty Pancreas on Serum Glucose Parameters in Patients With Nonalcoholic Steatohepatitis,” European Journal of Internal Medicine 26, no. 1 (2015): 37–41, 10.1016/j.ejim.2014.11.007. [DOI] [PubMed] [Google Scholar]
- 57. Zhou J., Li M. L., Zhang D. D., et al., “The Correlation Between Pancreatic Steatosis and Metabolic Syndrome in a Chinese Population,” Pancreatology 16, no. 4 (2016): 578–583, 10.1016/j.pan.2016.03.008. [DOI] [PubMed] [Google Scholar]
- 58. Li S., Su L., Lv G., Zhao W., and Chen J., “Transabdominal Ultrasonography of the Pancreas is Superior to That of the Liver for Detection of Ectopic Fat Deposits Resulting From Metabolic Syndrome,” Medicine (Baltimore) 96, no. 37 (2017): e8060, 10.1097/md.0000000000008060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Wang D., Yu X. P., Xiao W. M., et al., “Prevalence and Clinical Characteristics of Fatty Pancreas in Yangzhou, China: A Cross‐Sectional Study,” Pancreatology 18, no. 3 (2018): 263–268, 10.1016/j.pan.2018.02.004. [DOI] [PubMed] [Google Scholar]
- 60. Weng S., Zhou J., Chen X., Sun Y., Mao Z., and Chai K., “Prevalence and Factors Associated With Nonalcoholic Fatty Pancreas Disease and Its Severity in China,” Medicine 97, no. 26 (2018): e11293, 10.1097/md.0000000000011293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Sotoudehmanesh R., Tahmasbi A., Sadeghi A., Hosseini H., and Mohamadnejad M., “The Prevalence of Nonalcoholic Fatty Pancreas by Endoscopic Ultrasonography,” Pancreas 48, no. 9 (2019): 1220–1224, 10.1097/mpa.0000000000001396. [DOI] [PubMed] [Google Scholar]
- 62. Koç U. and Taydaş O., “Evaluation of Pancreatic Steatosis Prevalence and Anthropometric Measurements Using Non‐Contrast Computed Tomography,” Turkish Journal of Gastroenterology 31, no. 9 (2020): 640–648, 10.5152/tjg.2020.19434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Okada K., Watahiki T., Horie K., et al., “The Prevalence and Clinical Implications of Pancreatic Fat Accumulation Identified During a Medical Check‐Up,” Medicine (Baltimore) 100, no. 41 (2021): e27487, 10.1097/md.0000000000027487. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Sezgin O., Yaraş S., and Özdoğan O., “Pancreatic Steatosis is Associated With Both Metabolic Syndrome and Pancreatic Stiffness Detected by Ultrasound Elastography,” Digestive Diseases and Sciences 67, no. 1 (2022): 293–304, 10.1007/s10620-021-06844-3. [DOI] [PubMed] [Google Scholar]
- 65. Chen Y., Zhang P., Lv S., et al., “Ectopic Fat Deposition and Its Related Abnormalities of Lipid Metabolism Followed by Nonalcoholic Fatty Pancreas,” Endoscopic Ultrasound 11, no. 5 (2022): 407–413, 10.4103/eus-d-21-00167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Osman M. A. A., Alkhouly M., Elmohaseb G. F., et al., “Relation Between Non‐Alcoholic Fatty Pancreas and Clinical and Biochemical Parameters in Women With Polycystic Ovary Syndrome: A Multi‐Centric Study,” International Journal of General Medicine 15 (2022): 8225–8233, 10.2147/ijgm.s384073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Berger Z., Orellana F., Cocio R., et al., “Pancreatic Steatosis: A Frequent Finding in a Chilean Population,” Revista de Gastroenterología de México 88, no. 2 (2023): 118–124, 10.1016/j.rgmxen.2021.12.008. [DOI] [PubMed] [Google Scholar]
- 68. Abbasoğlu A., Karçaaltıncaba M., Karaosmanoğlu A. D., Özmen M. N., Akata D., and İdilman İ S., “Associations Between Hepatic and Pancreatic Steatosis With Lumbar Spinal Bone Marrow Fat: A Single‐Center Magnetic Resonance Imaging Study,” Turkish Journal of Gastroenterology 34, no. 6 (2023): 618–625, 10.5152/tjg.2023.22225. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69. Maetzel H., Rutkowski W., Panic N., et al., “Non‐Alcoholic Fatty Pancreas Disease and Pancreatic Exocrine Insufficiency: Pilot Study and Systematic Review,” Scandinavian Journal of Gastroenterology 58, no. 9 (2023): 1030–1037, 10.1080/00365521.2023.2200452. [DOI] [PubMed] [Google Scholar]
- 70. Sezgin O., Yaraş S., Cindoruk M., et al., “Prevalence of Pancreatic Steatosis and Its Associated Factors in Turkey: A Nation‐Wide Multicenter Study,” Turkish Journal of Gastroenterology 35, no. 3 (2024): 239–254, 10.5152/tjg.2024.23583. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71. Dong X., Zhu Q., Yuan C., et al., “Associations of Intrapancreatic Fat Deposition With Incident Diseases of the Exocrine and Endocrine Pancreas: A UK Biobank Prospective Cohort Study,” American Journal of Gastroenterology 119, no. 6 (2024): 1158–1166, 10.14309/ajg.0000000000002792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Chung M. J., Park S. W., Lee K. J., et al., “Clinical Impact of Pancreatic Steatosis Measured by CT on the Risk of Post‐ERCP Pancreatitis: A Multicenter Prospective Trial,” Gastrointestinal Endoscopy 99, no. 2 (2024): 214–223.e4, 10.1016/j.gie.2023.08.005. [DOI] [PubMed] [Google Scholar]
- 73. Lee Y., Lingvay I., Szczepaniak L. S., Ravazzola M., Orci L., and Unger R. H., “Pancreatic Steatosis: Harbinger of Type 2 Diabetes in Obese Rodents,” International Journal of Obesity 34, no. 2 (2010): 396–400, 10.1038/ijo.2009.245. [DOI] [PubMed] [Google Scholar]
- 74. Souza‐Mello V., Gregório B. M., Relvas‐Lucas B., da Silva Faria T., Aguila M. B., and Mandarim‐de‐Lacerda C. A., “Pancreatic Ultrastructural Enhancement Due to Telmisartan Plus Sitagliptin Treatment in Diet‐Induced Obese C57BL/6 Mice,” Pancreas 40, no. 5 (2011): 715–722, 10.1097/mpa.0b013e3182153922. [DOI] [PubMed] [Google Scholar]
- 75. Gotoh K., Inoue M., Shiraishi K., et al., “Spleen‐Derived Interleukin‐10 Downregulates the Severity of High‐Fat Diet‐Induced Non‐Alcoholic Fatty Pancreas Disease,” PLoS One 7, no. 12 (2012): e53154, 10.1371/journal.pone.0053154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Lipovšek S., Dolenšek J., Dariš B., et al., “Western Diet‐Induced Ultrastructural Changes in Mouse Pancreatic Acinar Cells,” Frontiers in Cell and Developmental Biology 12 (2024): 1380564, 10.3389/fcell.2024.1380564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Tremmel D. M., Feeney A. K., Mitchell S. A., et al., “Hypertension, But Not Body Mass Index, is Predictive of Increased Pancreatic Lipid Content and Islet Dysfunction,” American Journal of Transplantation 20, no. 4 (2020): 1105–1115, 10.1111/ajt.15698. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Luchini C., Franzina C., Caldart F., et al., “Fatty Pancreas Disease: An Integrated Study on Frozen Tissues Shows Distinct Compartments of Interlobular/Intralobular, Intra‐Acinar, and Intra‐Islet Fat Deposition,” Laboratory Investigation 105, no. 11 (2025): 104214, 10.1016/j.labinv.2025.104214. [DOI] [PubMed] [Google Scholar]
- 79. Dholakia S., Sharples E. J., Ploeg R. J., and Friend P. J., “Significance of Steatosis in Pancreatic Transplantation,” Transplantation Reviews 31, no. 4 (2017): 225–231, 10.1016/j.trre.2017.08.001. [DOI] [PubMed] [Google Scholar]
- 80. Kato S., Iwasaki A., Kurita Y., et al., “Three‐Dimensional Analysis of Pancreatic Fat by Fat‐Water Magnetic Resonance Imaging Provides Detailed Characterization of Pancreatic Steatosis With Improved Reproducibility,” PLoS One 14, no. 12 (2019): e0224921, 10.1371/journal.pone.0224921. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81. Nghiem D. D., Olson P. R., and Ormond D., “The “Fatty Pancreas Allograft”: Anatomopathologic Findings and Clinical Experience,” Transplantation Proceedings 36, no. 4 (2004): 1045–1047, 10.1016/j.transproceed.2004.04.032. [DOI] [PubMed] [Google Scholar]
- 82. Fullenkamp A. M., Bell L. N., Robbins R. D., et al., “Effect of Different Obesogenic Diets on Pancreatic Histology in Ossabaw Miniature Swine,” Pancreas 40, no. 3 (2011): 438–443, 10.1097/mpa.0b013e3182061583. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. van Geenen E. J., Smits M. M., Schreuder T. C., van der Peet D. L., Bloemena E., and Mulder C. J., “Smoking is Related to Pancreatic Fibrosis in Humans,” American Journal of Gastroenterology 106, no. 6 (2011): 1161–1166: quiz 7, 10.1038/ajg.2011.43. [DOI] [PubMed] [Google Scholar]
- 84. Gerst F., Wagner R., Kaiser G., et al., “Metabolic Crosstalk Between Fatty Pancreas and Fatty Liver: Effects on Local Inflammation and Insulin Secretion,” Diabetologia 60, no. 11 (2017): 2240–2251, 10.1007/s00125-017-4385-1. [DOI] [PubMed] [Google Scholar]
- 85. Klöppel G. and Maillet B., “Pseudocysts in Chronic Pancreatitis: A Morphological Analysis of 57 Resection Specimens and 9 Autopsy Pancreata,” Pancreas 6, no. 3 (1991): 266–274, https://pubmed.ncbi.nlm.nih.gov/1862065/. [PubMed] [Google Scholar]
- 86. van Geenen E. J., Smits M. M., Schreuder T. C., van der Peet D. L., Bloemena E., and Mulder C. J., “Nonalcoholic Fatty Liver Disease is Related to Nonalcoholic Fatty Pancreas Disease,” Pancreas 39, no. 8 (2010): 1185–1190, 10.1097/mpa.0b013e3181f6fce2. [DOI] [PubMed] [Google Scholar]
- 87. Wagner R., Jaghutriz B. A., Gerst F., et al., “Pancreatic Steatosis Associates With Impaired Insulin Secretion in Genetically Predisposed Individuals,” Journal of Clinical Endocrinology & Metabolism 105, no. 11 (2020): 3518–3525, 10.1210/clinem/dgaa435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88. Angrisani M., Ceresoli M., Ippolito D., et al., “Estimating Fatty Pancreas‐A Preoperative Bedside Assessment by Bioelectric Impedance Analysis: Implications for Pancreatic Surgery,” Pancreas 51, no. 4 (2022): 345–350, 10.1097/mpa.0000000000002020. [DOI] [PubMed] [Google Scholar]
- 89. Mathur A., Zyromski N. J., Pitt H. A., et al., “Pancreatic Steatosis Promotes Dissemination and Lethality of Pancreatic Cancer,” Journal of the American College of Surgeons 208, no. 5 (2009): 989–994: discussion 94–6, 10.1016/j.jamcollsurg.2008.12.026. [DOI] [PubMed] [Google Scholar]
- 90. Kim S. Y., Kim H., Cho J. Y., et al., “Quantitative Assessment of Pancreatic Fat by Using Unenhanced CT: Pathologic Correlation and Clinical Implications,” Radiology 271, no. 1 (2014): 104–112, 10.1148/radiol.13122883. [DOI] [PubMed] [Google Scholar]
- 91. Sugimoto M., Takahashi S., Kojima M., Kobayashi T., Gotohda N., and Konishi M., “In Patients With a Soft Pancreas, a Thick Parenchyma, a Small Duct, and Fatty Infiltration Are Significant Risks for Pancreatic Fistula After Pancreaticoduodenectomy,” Journal of Gastrointestinal Surgery 21, no. 5 (2017): 846–854, 10.1007/s11605-017-3356-7. [DOI] [PubMed] [Google Scholar]
- 92. Fukui H., Hori M., Fukuda Y., et al., “Evaluation of Fatty Pancreas by Proton Density Fat Fraction Using 3‐T Magnetic Resonance Imaging and Its Association With Pancreatic Cancer,” European Journal of Radiology 118 (2019): 25–31, 10.1016/j.ejrad.2019.06.024. [DOI] [PubMed] [Google Scholar]
- 93. Naik R. R., Rajan A., and Kalita N., “Automated Image Analysis Method to Detect and Quantify Fat Cell Infiltration in Hematoxylin and Eosin Stained Human Pancreas Histology Images,” BBA Advances 3 (2023): 100084, 10.1016/j.bbadva.2023.100084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94. Fukuda Y., Yamada D., Eguchi H., et al., “CT Density in the Pancreas is a Promising Imaging Predictor for Pancreatic Ductal Adenocarcinoma,” Annals of Surgical Oncology 24, no. 9 (2017): 2762–2769, 10.1245/s10434-017-5914-3. [DOI] [PubMed] [Google Scholar]
- 95. Hori M., Takahashi M., Hiraoka N., et al., “Association of Pancreatic Fatty Infiltration With Pancreatic Ductal Adenocarcinoma,” Clinical and Translational Gastroenterology 5, no. 3 (2014): e53, 10.1038/ctg.2014.5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96. Gaujoux S., Cortes A., Couvelard A., et al., “Fatty Pancreas and Increased Body Mass Index Are Risk Factors of Pancreatic Fistula After Pancreaticoduodenectomy,” Surgery 148, no. 1 (2010): 15–23, 10.1016/j.surg.2009.12.005. [DOI] [PubMed] [Google Scholar]
- 97. Tranchart H., Gaujoux S., Rebours V., et al., “Preoperative CT Scan Helps to Predict the Occurrence of Severe Pancreatic Fistula After Pancreaticoduodenectomy,” Annals of Surgery 256, no. 1 (2012): 139–145, 10.1097/sla.0b013e318256c32c. [DOI] [PubMed] [Google Scholar]
- 98. Rosso E., Casnedi S., Pessaux P., et al., “The Role of “Fatty Pancreas” and of BMI in the Occurrence of Pancreatic Fistula After Pancreaticoduodenectomy,” Journal of Gastrointestinal Surgery 13, no. 10 (2009): 1845–1851, 10.1007/s11605-009-0974-8. [DOI] [PubMed] [Google Scholar]
- 99. Rebours V., Gaujoux S., d'Assignies G., et al., “Obesity and Fatty Pancreatic Infiltration Are Risk Factors for Pancreatic Precancerous Lesions (Panin),” Clinical Cancer Research 21, no. 15 (2015): 3522–3528, 10.1158/1078-0432.CCR-14-2385. [DOI] [PubMed] [Google Scholar]
- 100. Yamashita Y., Ashida R., and Kitano M., “Imaging of Fibrosis in Chronic Pancreatitis,” Frontiers in Physiology 12 (2021): 800516, 10.3389/fphys.2021.800516. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101. Majumder S., Philip N. A., Takahashi N., Levy M. J., Singh V. P., and Chari S. T., “Fatty Pancreas: Should We Be Concerned?,” Pancreas 46, no. 10 (2017): 1251–1258, 10.1097/mpa.0000000000000941. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102. Worthen N. J. and Beabeau D., “Normal Pancreatic Echogenicity: Relation to Age and Body Fat,” American Journal of Roentgenology 139, no. 6 (1982): 1095–1098, 10.2214/ajr.139.6.1095. [DOI] [PubMed] [Google Scholar]
- 103. Oh H., Park H. J., Oh J., et al., “Hyperechoic Pancreas on Ultrasonography: An Analysis of Its Severity and Clinical Implications,” Ultrasonography 41, no. 2 (2022): 335–343, 10.14366/usg.21099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104. Matsumoto S., Mori H., Miyake H., et al., “Uneven Fatty Replacement of the Pancreas: Evaluation With CT,” Radiology 194, no. 2 (1995): 453–458, 10.1148/radiology.194.2.7824726. [DOI] [PubMed] [Google Scholar]
- 105. Ünal E., Karaosmanoğlu A. D., Akata D., Özmen M. N., and Karçaaltıncaba M., “Invisible Fat on CT: Making it Visible by MRI,” Diagnostic and interventional radiology 22, no. 2 (2016): 133–140, 10.5152/dir.2015.15286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106. Wu L., Cen C., Yue X., et al., “A Clinical‐Radiomics Nomogram Based on Dual‐Layer Spectral Detector CT to Predict Cancer Stage in Pancreatic Ductal Adenocarcinoma,” Cancer Imaging 24, no. 1 (2024): 55, 10.1186/s40644-024-00700-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107. Previtali C., Sartoris R., Rebours V., et al., “Quantitative Imaging Predicts Pancreatic Fatty Infiltration on Routine CT Examination,” Diagnostic and Interventional Imaging 104, no. 7–8 (2023): 359–367, 10.1016/j.diii.2023.03.004. [DOI] [PubMed] [Google Scholar]
- 108. Reeder S. B. and Sirlin C. B., “Quantification of Liver Fat With Magnetic Resonance Imaging,” Magnetic Resonance Imaging Clinics of North America 18, no. 3 (2010): 337–357, 10.1016/j.mric.2010.08.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109. Filippatos T. D., Alexakis K., Mavrikaki V., and Mikhailidis D. P., “Nonalcoholic Fatty Pancreas Disease: Role in Metabolic Syndrome, “Prediabetes,” Diabetes and Atherosclerosis,” Digestive Diseases and Sciences 67, no. 1 (2022): 26–41, 10.1007/s10620-021-06824-7. [DOI] [PubMed] [Google Scholar]
- 110. Djuric‐Stefanovic A., Masulovic D., Kostic J., Randjic K., and Saranovic D., “CT Volumetry of Normal Pancreas: Correlation With the Pancreatic Diameters Measurable by the Cross‐Sectional Imaging, and Relationship With the Gender, Age, and Body Constitution,” Surgical and Radiologic Anatomy 34, no. 9 (2012): 811–817, 10.1007/s00276-012-0962-7. [DOI] [PubMed] [Google Scholar]
- 111. Sakai N. S., Taylor S. A., and Chouhan M. D., “Obesity, Metabolic Disease and the Pancreas‐Quantitative Imaging of Pancreatic Fat,” British Journal of Radiology 91, no. 1089 (2018): 20180267, 10.1259/bjr.20180267. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112. Kühn J. P., Berthold F., Mayerle J., et al., “Pancreatic Steatosis Demonstrated at MR Imaging in the General Population: Clinical Relevance,” Radiology 276, no. 1 (2015): 129–136, 10.1148/radiol.15140446. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113. Heber S. D., Hetterich H., Lorbeer R., et al., “Pancreatic Fat Content by Magnetic Resonance Imaging in Subjects With Prediabetes, Diabetes, and Controls From a General Population Without Cardiovascular Disease,” PLoS One 12, no. 5 (2017): e0177154, 10.1371/journal.pone.0177154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114. Skudder‐Hill L., Sequeira I. R., Cho J., Ko J., Poppitt S. D., and Petrov M. S., “Fat Distribution Within the Pancreas According to Diabetes Status and Insulin Traits,” Diabetes 71, no. 6 (2022): 1182–1192, 10.2337/db21-0976. [DOI] [PubMed] [Google Scholar]
- 115. Idilman I. S., Tuzun A., Savas B., et al., “Quantification of Liver, Pancreas, Kidney, and Vertebral Body MRI‐PDFF in Non‐Alcoholic Fatty Liver Disease,” Abdominal Imaging 40, no. 6 (2015): 1512–1519, 10.1007/s00261-015-0385-0. [DOI] [PubMed] [Google Scholar]
- 116. Singh R. G., Yoon H. D., Wu L. M., Lu J., Plank L. D., and Petrov M. S., “Ectopic Fat Accumulation in the Pancreas and Its Clinical Relevance: A Systematic Review, Meta‐Analysis, and Meta‐Regression,” Metabolism 69 (2017): 1–13, 10.1016/j.metabol.2016.12.012. [DOI] [PubMed] [Google Scholar]
- 117. Kim H. J., Byun J. H., Park S. H., et al., “Focal Fatty Replacement of the Pancreas: Usefulness of Chemical Shift MRI,” American Journal of Roentgenology 188, no. 2 (2007): 429–432, 10.2214/ajr.05.1095. [DOI] [PubMed] [Google Scholar]
- 118. Yaman V. and Arslan S., “Lipomatous Pseudohypertrophy of the Pancreas: A Rare Disease With a Novel Imaging Finding,” Pancreas 54, no. 5 (2025): e494–e495, 10.1097/mpa.0000000000002427. [DOI] [PubMed] [Google Scholar]
- 119. Karcaaltincaba M., “CT Differentiation of Distal Pancreas Fat Replacement and Distal Pancreas Agenesis,” Surgical and Radiologic Anatomy 28, no. 6 (2006): 637–641, 10.1007/s00276-006-0151-7. [DOI] [PubMed] [Google Scholar]
- 120. Karaosmanoglu D., Karcaaltincaba M., Akata D., Ozmen M., and Akhan O., “Pancreatic Lipoma Computed Tomography Diagnosis of 17 Patients and Follow‐Up,” Pancreas 36, no. 4 (2008): 434–436, 10.1097/mpa.0b013e31815ccac0. [DOI] [PubMed] [Google Scholar]
- 121. Smereczyński A. and Kołaczyk K., “Is a Fatty Pancreas a Banal Lesion?,” Journal of Ultrasonography 16, no. 66 (2016): 273–280, 10.15557/jou.2016.0027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122. Pan Z., Chen Q., Lin H., et al., “Enhanced Accuracy and Stability in Automated Intra‐Pancreatic Fat Deposition Monitoring of Type 2 Diabetes Mellitus Using Dixon MRI and Deep Learning,” Abdominal Radiology (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123. Lin D., Wang Z., Li H., et al., “Automated Measurement of Pancreatic Fat Deposition on Dixon MRI Using nnU‐Net,” Journal of Magnetic Resonance Imaging 57, no. 1 (2023): 296–307, 10.1002/jmri.28275. [DOI] [PubMed] [Google Scholar]
- 124. Yang J. Z., Zhao J., Nemati R., et al., “An Adapted Deep Convolutional Neural Network for Automatic Measurement of Pancreatic Fat and Pancreatic Volume in Clinical Multi‐Protocol Magnetic Resonance Images: A Retrospective Study With Multi‐Ethnic External Validation,” Biomedicines 10, no. 11 (2022): 2991, 10.3390/biomedicines10112991. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125. Ibrahim R. M., Solanki S., Qiao W., et al., “Fatty Pancreas on EUS: Risk Factors, Correlation With CT/MRI, and Implications for Pancreatic Cancer Screening,” Endoscopic Ultrasound 14, no. 1 (2025): 13–19, 10.1097/eus.0000000000000109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126. Kawamura A., Takakura K., Torisu Y., et al., “Impact of Qualitative Endoscopic Ultrasonography on Fatty Pancreas at a Referral Medical Center,” JGH Open 6, no. 1 (2022): 44–49, 10.1002/jgh3.12692. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127. Geeratragool T., Pausawasdi N., Angkathunyakul N., et al., “Novel Endoscopic Ultrasound Criteria for Pancreatic Steatosis: Prospective Study With Histology as the Gold Standard,” Gastrointestinal Endoscopy 99, no. 6 (2024): AB859, 10.1016/j.gie.2024.04.2035. [DOI] [Google Scholar]
- 128. Sbeit W., Greener T., Kadah A., et al., “Pancreatic and Hepatobiliary Manifestations of Nonalcoholic Fatty Pancreatic Disease: A Referral Multi‐Center Experience,” supplement, European Journal of Gastroenterology and Hepatology 33, no. 1S1 (2021): e297–e301, 10.1097/meg.0000000000002041. [DOI] [PubMed] [Google Scholar]
- 129. Sbeit W. and Khoury T., “Fatty Pancreas Represents a Risk Factor for Acute Pancreatitis: A Pilot Study,” Pancreas 50, no. 7 (2021): 990–993, 10.1097/mpa.0000000000001867. [DOI] [PubMed] [Google Scholar]
- 130. Abboud Y., Kim K., Samaan J. S., et al., “Endoscopic Ultrasound Guided Shear Wave Elastography is Safe With High Feasibility and Reproducibility When Used in the Pancreas: Findings From a Prospective Cohort,” Pancreas 52, no. 2 (2023): e115–e120, 10.1097/mpa.0000000000002213. [DOI] [PubMed] [Google Scholar]
- 131. Mohamed G., Zalomek C., El Helou M., Azab L., Li D., and al e, “Endoscopic Ultrasound Guided Shearwave Elastography (EUS‐SWE) Predicts Fat in the Pancreas and Correlates With Fat‐Fraction on Magnetic Resonance Imaging (MRI): Results From a Prospective Study,” Gastrointestinal Endoscopy (2024). [Google Scholar]
- 132. Konikoff T., Loebl N., Benson A. A., et al., “Enhancing Detection of Various Pancreatic Lesions on Endoscopic Ultrasound Through Artificial Intelligence: A Basis for Computer‐Aided Detection Systems,” Journal of Gastroenterology and Hepatology 40, no. 1 (2025): 235–240, 10.1111/jgh.16814. [DOI] [PubMed] [Google Scholar]
- 133. Matana Kaštelan Z., Brumini I., Poropat G., Tkalčić L., Grubešić T., and Miletić D., “Pancreatic Iodine Density and Fat Fraction on Dual‐Energy Computed Tomography in Acute Pancreatitis,” Diagnostics 14, no. 9 (2024): 955, 10.3390/diagnostics14090955. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134. Al‐Ani Z., Ko J., and Petrov M. S., “Intra‐Pancreatic Fat Deposition Across the Pancreatitis Spectrum and the Influence of Gut Hormones,” Digestive and Liver Disease 55, no. 8 (2023): 1081–1090, 10.1016/j.dld.2023.02.013. [DOI] [PubMed] [Google Scholar]
- 135. Szentesi A., Párniczky A., Vincze Á, et al., “Multiple Hits in Acute Pancreatitis: Components of Metabolic Syndrome Synergize Each Other's Deteriorating Effects,” Frontiers in Physiology 10 (2019): 1202, 10.3389/fphys.2019.01202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136. Wongtrakul W., Untaaveesup S., Pausawadi N., and Charatcharoenwitthaya P., “Bidirectional Association Between Non‐alcoholic Fatty Liver Disease and Fatty Pancreas: A Systematic Review and Meta‐Analysis,” European Journal of Gastroenterology and Hepatology 35, no. 10 (2023): 1107–1116, 10.1097/meg.0000000000002625. [DOI] [PubMed] [Google Scholar]
- 137. Chatterjee A., Singh A., Thomas R. J., et al., “Fatty Pancreas Disease and the Risk of Future Diseases of the Exocrine Pancreas: A US Matched Cohort Study,” American Journal of Gastroenterology (2025), 10.14309/ajg.0000000000003725. [DOI] [PubMed] [Google Scholar]
- 138. Yamazaki H., Heni M., Wagner R., et al., “The Causal Effect of Intrapancreatic Fat Deposition on Acute and Chronic Pancreatitis: A Mendelian Randomization Study,” American Journal of Gastroenterology 119, no. 12 (2024): 2540–2544, 10.14309/ajg.0000000000003048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139. Park C. H., Chung M. J., Park D. H., Min S., and Park S. W., “Impact of Pancreatic Fat on the Risk of Post‐Endoscopic Retrograde Cholangiopancreatography Pancreatitis,” Surgical Endoscopy 36, no. 8 (2022): 5734–5742, 10.1007/s00464-022-09070-8. [DOI] [PubMed] [Google Scholar]
- 140. Prouvot C., Boumaiza M., Maoui K., et al., “Pancreatic Steatosis is a Strong Risk Factor for Post‐ERCP Pancreatitis: An Emerging Concept,” Digestive and Liver Disease 57, no. 2 (2025): 542–548, 10.1016/j.dld.2024.10.005. [DOI] [PubMed] [Google Scholar]
- 141. Bai X. H., Yin J., Yu S. Y., et al., “Extracellular Volume Fraction Derived From Dual‐Energy CT: A Potential Predictor for Acute Pancreatitis After Pancreatoduodenectomy,” European Radiology 34, no. 11 (2024): 6957–6966, 10.1007/s00330-024-10750-3. [DOI] [PubMed] [Google Scholar]
- 142. Partelli S., Andreasi V., Schiavo Lena M., et al., “The Role of Acinar Content at Pancreatic Resection Margin in the Development of Postoperative Pancreatic Fistula and Acute Pancreatitis After Pancreaticoduodenectomy,” Surgery 170, no. 4 (2021): 1215–1222, 10.1016/j.surg.2021.03.047. [DOI] [PubMed] [Google Scholar]
- 143. Xie J., Xu L., Pan Y., et al., “Nonalcoholic Fatty Pancreas Disease is Related Independently to the Severity of Acute Pancreatitis,” European Journal of Gastroenterology and Hepatology 31, no. 8 (2019): 973–978, 10.1097/meg.0000000000001477. [DOI] [PubMed] [Google Scholar]
- 144. Panc K., Gundogdu H., Sekmen S., Basaran M., and Gurun E., “Liver and Pancreatic Fat Fractions as Predictors of Disease Severity in Acute Pancreatitis: An MRI IDEAL‐IQ Study,” Abdominal Radiology (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145. Mahmoudi S., Martin S., Koch V., et al., “Value of Dual‐Energy CT Perfusion Analysis in Patients With Acute Pancreatitis: Correlation and Discriminative Diagnostic Accuracy With Varying Disease Severity,” Diagnostics 12, no. 11 (2022): 2601, 10.3390/diagnostics12112601. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146. Sbeit W., Abu Elheja F., Msheiil B., et al., “Fatty Pancreas Was Associated With a Higher Acute Pancreatitis Systemic Inflammatory Response Syndrome Score at Hospital Admission,” European Journal of Gastroenterology and Hepatology 35, no. 9 (2023): 980–984, 10.1097/meg.0000000000002606. [DOI] [PubMed] [Google Scholar]
- 147. Shintani S., Inatomi O., Bamba S., et al., “Larger Volume and Higher Fat Content of the Pancreatic Head Are Predictive Factors for Postendoscopic Retrograde Cholangiopancreatography Pancreatitis,” Pancreas 51, no. 1 (2022): 28–34, 10.1097/mpa.0000000000001957. [DOI] [PubMed] [Google Scholar]
- 148. Pokhrel B., Choi E. K., Khalid O., et al., “Increased Fat in Pancreas Not Associated With Risk of Pancreatitis Post‐Endoscopic Retrograde Cholangiopancreatography,” Clinical and Experimental Gastroenterology 7 (2014): 199–204, 10.2147/CEG.S31333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149. Miyake H., Sakagami J., Yasuda H., et al., “Association of Fatty Pancreas With Pancreatic Endocrine and Exocrine Function,” PLoS One 13, no. 12 (2018): e0209448, 10.1371/journal.pone.0209448. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150. Vendrik K. E. W., Tonneijck L., Muskiet M. H. A., et al., “Pancreatic Steatosis is Not Associated With Exocrine Pancreatic Function in Overweight Type 2 Diabetes Patients,” Pancreas 46, no. 9 (2017): e75–e76, 10.1097/mpa.0000000000000893. [DOI] [PubMed] [Google Scholar]
- 151. Kromrey M. L., Friedrich N., Hoffmann R. T., et al., “Pancreatic Steatosis is Associated With Impaired Exocrine Pancreatic Function,” Investigative Radiology 54, no. 7 (2019): 403–408, 10.1097/rli.0000000000000554. [DOI] [PubMed] [Google Scholar]
- 152. Rana S. S., Ancil S., Jayanna S. H., Kang M., and Gupta R., “Clinical Features and Outcomes of Total Pancreatic Lipomatosis With Chronic Pancreatitis: A Case Series,” Annals of Gastroenterology 38, no. 1 (2025): 100–104, 10.20524/aog.2025.0939. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153. Engjom T., Kavaliauskiene G., Tjora E., et al., “Sonographic Pancreas Echogenicity in Cystic Fibrosis Compared to Exocrine Pancreatic Function and Pancreas Fat Content at Dixon‐MRI,” PLoS One 13, no. 7 (2018): e0201019, 10.1371/journal.pone.0201019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154. Otsuka N., Shimizu K., Taniai M., and Tokushige K., “Risk Factors for Fatty Pancreas and Effects of Fatty Infiltration on Pancreatic Cancer,” Frontiers in Physiology 14 (2023): 1243983, 10.3389/fphys.2023.1243983. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155. Kashiwagi K., Seino T., Fukuhara S., et al., “Pancreatic Fat Content Detected by Computed Tomography and Its Significant Relationship With Intraductal Papillary Mucinous Neoplasm,” Pancreas 47, no. 9 (2018): 1087–1092, 10.1097/mpa.0000000000001103. [DOI] [PubMed] [Google Scholar]
- 156. Sotozono H., Kanki A., Yasokawa K., et al., “Value of 3‐T MR Imaging in Intraductal Papillary Mucinous Neoplasm With a Concomitant Invasive Carcinoma,” European Radiology 32, no. 12 (2022): 8276–8284, 10.1007/s00330-022-08881-6. [DOI] [PubMed] [Google Scholar]
- 157. Evrimler S., Yip‐Schneider M. T., Swensson J., et al., “Magnetic Resonance Imaging‐Derived Fat Fraction Predicts Risk of Malignancy in Intraductal Papillary Mucinous Neoplasm,” Abdominal Radiology 46, no. 10 (2021): 4779–4786, 10.1007/s00261-021-03146-0. [DOI] [PubMed] [Google Scholar]
- 158. Yamada D., Kobayashi S., Takahashi H., et al., “Pancreatic CT Density is an Optimal Imaging Biomarker for Earlier Detection of Malignancy in the Pancreas With Intraductal Papillary Mucinous Neoplasm,” Pancreatology 22, no. 4 (2022): 488–496, 10.1016/j.pan.2022.03.016. [DOI] [PubMed] [Google Scholar]
- 159. Capurso G., Crippa S., Vanella G., et al., “Factors Associated With the Risk of Progression of Low‐Risk Branch‐Duct Intraductal Papillary Mucinous Neoplasms,” JAMA Network Open 3, no. 11 (2020): e2022933, 10.1001/jamanetworkopen.2020.22933. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160. Sreedhar U. L., DeSouza S. V., Park B., and Petrov M. S., “A Systematic Review of Intra‐pancreatic Fat Deposition and Pancreatic Carcinogenesis,” Journal of Gastrointestinal Surgery 24, no. 11 (2020): 2560–2569, 10.1007/s11605-019-04417-4. [DOI] [PubMed] [Google Scholar]
- 161. Lipp M., Tarján D., Lee J., et al., “Fatty Pancreas is a Risk Factor for Pancreatic Cancer: A Systematic Review and Meta‐Analysis of 2956 Patients,” Cancers (Basel) 15, no. 19 (2023), 10.3390/cancers15194876. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162. Chan C. H., Chang C. C., and Peng Y. C., “The Clinical Significance of Pancreatic Steatosis in Pancreatic Cancer: A Hospital‐based Study,” Diagnostics 14, no. 19 (2024): 2128, 10.3390/diagnostics14192128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163. Yamazaki H., Streicher S. A., Wu L., et al., “Evidence for a Causal Link Between Intra‐Pancreatic Fat Deposition and Pancreatic Cancer: A Prospective Cohort and Mendelian Randomization Study,” Cell Reports Medicine 5, no. 2 (2024): 101391, 10.1016/j.xcrm.2024.101842. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164. Pagkali A., Makris A., Brofidi K., Agouridis A. P., and Filippatos T. D., “Pathophysiological Mechanisms and Clinical Associations of Non‐Alcoholic Fatty Pancreas Disease,” Diabetes, Metabolic Syndrome and Obesity 17 (2024): 283–294, 10.2147/dmso.s397643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 165. Otsuka N., Shimamatsu Y., Hakuta R., Takayama Y., and Nakai Y., “Fatty Pancreas: Its Potential as a Risk Factor for Pancreatic Cancer and Clinical Implications,” Cancers (Basel) 17, no. 11 (2025): 1765, 10.3390/cancers17111765. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 166. Truong E., Pandol S., and Jeon C., “Uniting Epidemiology and Experimental Models: Pancreatic Steatosis and Pancreatic Cancer,” EBioMedicine 79 (2022): 103996, 10.1016/j.ebiom.2022.103996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167. Zhou L., Xiao W. M., Li C. P., Gao Y. W., Gong W. J., and Lu G. T., “Impact of Fatty Pancreas on Postoperative Pancreatic Fistulae: A Meta‐Analysis,” Frontiers in Oncology 11 (2021): 622282, 10.3389/fonc.2021.622282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168. Tanaka K., Yamada S., Hayashi M., and Kodera Y., “ASO Authors Reflections: Preoperative Pancreatic Fat and Body Composition Measurements Influence the Incidence of Grade B/C Postoperative Pancreatic Fistula After Pancreatectomy,” supplement, Annals of Surgical Oncology 27, no. S3 (2020): 746–747, 10.1245/s10434-020-08595-3. [DOI] [PubMed] [Google Scholar]
- 169. Tanaka K., Yamada S., Sonohara F., et al., “Pancreatic Fat and Body Composition Measurements by Computed Tomography Are Associated With Pancreatic Fistula After Pancreatectomy,” Annals of Surgical Oncology 28, no. 1 (2021): 530–538, 10.1245/s10434-020-08581-9. [DOI] [PubMed] [Google Scholar]
- 170. Shi H. Y., Lu Z. P., Li M. N., Ge Y. Q., Jiang K. R., and Xu Q., “Dual‐Energy CT Iodine Concentration to Evaluate Postoperative Pancreatic Fistula After Pancreatoduodenectomy,” Radiology 304, no. 1 (2022): 65–72, 10.1148/radiol.212173. [DOI] [PubMed] [Google Scholar]
- 171. Lee S. E., Jang J. Y., Lim C. S., et al., “Measurement of Pancreatic Fat by Magnetic Resonance Imaging: Predicting the Occurrence of Pancreatic Fistula After Pancreatoduodenectomy,” Annals of Surgery 251, no. 5 (2010): 932–936, 10.1097/sla.0b013e3181d65483. [DOI] [PubMed] [Google Scholar]
- 172. Al‐Haddad M., Khashab M., Zyromski N., et al., “Risk Factors for Hyperechogenic Pancreas on Endoscopic Ultrasound: A Case‐Control Study,” Pancreas 38, no. 6 (2009): 672–675, 10.1097/mpa.0b013e3181a9d5af. [DOI] [PubMed] [Google Scholar]
- 173. Kusafuka T., Kato H., Iizawa Y., et al., “Pancreas‐Visceral Fat CT Value Ratio and Serrated Pancreatic Contour Are Strong Predictors of Postoperative Pancreatic Fistula After Pancreaticojejunostomy,” BMC Surgery 20, no. 1 (2020): 129, 10.1186/s12893-020-00785-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174. Zhang C. L., Wang J. J., Li J. N., and Yang Y., “Nonalcoholic Fatty Pancreas Disease: An Emerging Clinical Challenge,” World Journal of Clinical Cases 9, no. 23 (2021): 6624–6638, 10.12998/wjcc.v9.i23.6624. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175. Kobayashi N., Shinohara H., Haruta S., Udagawa H., and Ueno M., “Reducing the Risk of Postoperative Pancreatic Fistula in Radical Gastrectomy: Pre‐Assessment With Computed Tomography for the Diagnosis of Pancreatic Steatosis,” Langenbeck's Archives of Surgery 407, no. 2 (2022): 587–596, 10.1007/s00423-021-02337-z. [DOI] [PubMed] [Google Scholar]
- 176. Sano S., Okamura Y., Ohgi K., et al., “Histological Pancreatic Findings Correlate With Computed Tomography Attenuation and Predict Postoperative Pancreatic Fistula Following Pancreatoduodenectomy,” HPB 24, no. 9 (2022): 1519–1526, 10.1016/j.hpb.2022.03.008. [DOI] [PubMed] [Google Scholar]
- 177. Perikinchira R. A., Rajan R., P B. N., et al., “Role of Pancreatic Attenuation Index in Assessing Pancreatic Fat Content and Postpancreatectomy Outcomes,” Indian Journal of Radiology and Imaging 34, no. 2 (2024): 232–238, 10.1055/s-0043-1776340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 178. Laaninen M., Bläuer M., Vasama K., et al., “The Risk for Immediate Postoperative Complications After Pancreaticoduodenectomy is Increased by High Frequency of Acinar Cells and Decreased by Prevalent Fibrosis of the Cut Edge of Pancreas,” Pancreas 41, no. 6 (2012): 957–961, 10.1097/mpa.0b013e3182480b81. [DOI] [PubMed] [Google Scholar]
- 179. Teränen V., Rinta‐Kiikka I., Holli‐Helenius K., Laaninen M., Sand J., and Laukkarinen J., “Perioperative Acinar Cell Count Method Works Well in the Prediction of Postoperative Pancreatic Fistula and Other Postoperative Complications After Pancreaticoduodenectomy,” Pancreatology 21, no. 2 (2021): 487–493, 10.1016/j.pan.2021.01.005. [DOI] [PubMed] [Google Scholar]
- 180. Bi Y., Wang J. L., Li M. L., Zhou J., and Sun X. L., “The Association Between Pancreas Steatosis and Metabolic Syndrome: A Systematic Review and Meta‐Analysis,” Diabetes/Metabolism Research and Reviews 35, no. 5 (2019): e3142, 10.1002/dmrr.3142. [DOI] [PubMed] [Google Scholar]
- 181. Hong W., Ha H. I., Lee J. W., Lee S. M., and Kim M. J., “Measurement of Pancreatic Fat Fraction by CT Histogram Analysis to Predict Pancreatic Fistula After Pancreaticoduodenectomy,” Korean Journal of Radiology 20, no. 4 (2019): 599–608, 10.3348/kjr.2018.0557. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182. Chang Y. R., Kang J. S., Jang J. Y., et al., “Prediction of Pancreatic Fistula After Distal Pancreatectomy Based on Cross‐Sectional Images,” World Journal of Surgery 41, no. 6 (2017): 1610–1617, 10.1007/s00268-017-3872-3. [DOI] [PubMed] [Google Scholar]
- 183. Tajima Y., Kawabata Y., and Hirahara N., “Preoperative Imaging Evaluation of Pancreatic Pathologies for the Objective Prediction of Pancreatic Fistula After Pancreaticoduodenectomy,” Surgery Today 48, no. 2 (2018): 140–150, 10.1007/s00595-017-1529-3. [DOI] [PubMed] [Google Scholar]
- 184. Xingjun G., Feng Z., Meiwen Y., et al., “A Score Model Based on Pancreatic Steatosis and Fibrosis and Pancreatic Duct Diameter to Predict Postoperative Pancreatic Fistula After Pancreatoduodenectomy,” BMC Surgery 19, no. 1 (2019): 75, 10.1186/s12893-019-0534-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185. Karasu S., Gungor F., Onak C., and Dilek O. N., “Relation of Computed Tomography Features of the Pancreatic Tissue and Development of Pancreatic Fistula After Pancreaticoduodenectomy,” Clinical Imaging 72 (2021): 114–119, 10.1016/j.clinimag.2020.10.034. [DOI] [PubMed] [Google Scholar]
- 186. Kiełbowski K., Bakinowska E., and Uciński R., “Preoperative and Intraoperative Risk Factors of Postoperative Pancreatic Fistula After Pancreaticoduodenectomy ‐ Systematic Review and Meta‐Analysis,” Polski Przeglad Chirurgiczny 93, no. 6 (2021): 1–10, 10.5604/01.3001.0014.9659. [DOI] [PubMed] [Google Scholar]
- 187. Hong J. J., Park H. J., Lee E. S., and Kim M. J., “Severity of Hyperechoic Pancreas on Preoperative Ultrasonography: High Potential as a Clinically Useful Predictor of a Postoperative Pancreatic Fistula,” Ultrasonography 43, no. 4 (2024): 272–283, 10.14366/usg.24046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 188. Tourlakis M. E., Zhong J., Gandhi R., et al., “Deficiency of Sbds in the Mouse Pancreas Leads to Features of Shwachman‐Diamond Syndrome, With Loss of Zymogen Granules,” Gastroenterology 143, no. 2 (2012): 481–492, 10.1053/j.gastro.2012.04.012. [DOI] [PubMed] [Google Scholar]
- 189. Alberti G., Cantillo T., Pereira A., et al., “Prevalence of Fatty Pancreas and Its Relation With Anthropometric Values on the Growth and Obesity Cohort Study,” Journal of Pediatrics 101, no. 3 (2025): 362–369, 10.1016/j.jped.2024.09.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 190. Cho J. Y., You S. K., Lim H. H., and Kim H. J., “Clinical Significance of Pancreatic Fat in Children: A Single‐Center Experience,” Pancreas 51, no. 8 (2022): 972–975, 10.1097/mpa.0000000000002121. [DOI] [PubMed] [Google Scholar]
- 191. Pham Y. H., Bingham B. A., Bell C. S., et al., “Prevalence of Pancreatic Steatosis at a Pediatric Tertiary Care Center,” Southern Medical Journal 109, no. 3 (2016): 196–198, 10.14423/smj.0000000000000432. [DOI] [PubMed] [Google Scholar]
- 192. Della Corte C., Mosca A., Majo F., et al., “Nonalcoholic Fatty Pancreas Disease and Nonalcoholic Fatty Liver Disease: More Than Ectopic Fat,” Clinical Endocrinology 83, no. 5 (2015): 656–662, 10.1111/cen.12862. [DOI] [PubMed] [Google Scholar]
- 193. Chiyanika C., Chan D. F. Y., Hui S. C. N., et al., “The Relationship Between Pancreas Steatosis and the Risk of Metabolic Syndrome and Insulin Resistance in Chinese Adolescents With Concurrent Obesity and Non‐Alcoholic Fatty Liver Disease,” Pediatric obesity 15, no. 9 (2020): e12653, 10.1111/ijpo.12653. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 194. King L. J., Scurr E. D., Murugan N., Williams S. G., Westaby D., and Healy J. C., “Hepatobiliary and Pancreatic Manifestations of Cystic Fibrosis: MR Imaging Appearances,” RadioGraphics 20, no. 3 (2000): 767–777, 10.1148/radiographics.20.3.g00ma08767. [DOI] [PubMed] [Google Scholar]
- 195. Han X., Lu S., Gu C., Bian Z., Xie X., and Qiao X., “Clinical Features, Epidemiology, and Treatment of Shwachman‐Diamond Syndrome: A Systematic Review,” BMC Pediatrics 23, no. 1 (2023): 503, 10.1186/s12887-023-04324-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196. Wild K. T., Goldstein A. C., Muraresku C., and Ganetzky R. D., “Broadening the Phenotypic Spectrum of Pearson Syndrome: Five New Cases and a Review of the Literature,” American Journal of Medical Genetics, Part A 182, no. 2 (2020): 365–373, 10.1002/ajmg.a.61433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 197. Staaf J., Labmayr V., Paulmichl K., et al., “Pancreatic Fat is Associated With Metabolic Syndrome and Visceral Fat But Not Beta‐Cell Function or Body Mass Index in Pediatric Obesity,” Pancreas 46, no. 3 (2017): 358–365, 10.1097/mpa.0000000000000771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 198. Trout A. T., Hunte D. E., Mouzaki M., et al., “Relationship Between Abdominal Fat Stores and Liver Fat, Pancreatic Fat, and Metabolic Comorbidities in a Pediatric Population With Non‐Alcoholic Fatty Liver Disease,” Abdominal Radiology 44, no. 9 (2019): 3107–3114, 10.1007/s00261-019-02123-y. [DOI] [PubMed] [Google Scholar]
- 199. Cohen M., Syme C., Deforest M., et al., “Ectopic Fat in Youth: The Contribution of Hepatic and Pancreatic Fat to Metabolic Disturbances,” Obesity 22, no. 5 (2014): 1280–1286, 10.1002/oby.20674. [DOI] [PubMed] [Google Scholar]
- 200. Pacifico L., Di Martino M., Anania C., et al., “Pancreatic Fat and β‐Cell Function in Overweight/Obese Children With Nonalcoholic Fatty Liver Disease,” World Journal of Gastroenterology 21, no. 15 (2015): 4688–4695, 10.3748/wjg.v21.i15.4688. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 201. Lee E. H., Kim J. Y., and Yang H. R., “Ectopic Pancreatic Fat as a Risk Factor for Hypertension in Children and Adolescents With Nonalcoholic Fatty Liver Disease,” Journal of Clinical Hypertension 23, no. 8 (2021): 1506–1515, 10.1111/jch.14326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 202. Lee E. H., Kim J. Y., and Yang H. R., “Association Between Ectopic Pancreatic and Hepatic Fat and Metabolic Risk Factors in Children With Non‐Alcoholic Fatty Liver Disease,” Pediatric obesity 16, no. 10 (2021): e12793, 10.1111/ijpo.12793. [DOI] [PubMed] [Google Scholar]
- 203. Bi Y., Lin H. Y., Li M. L., Zhou J., and Sun X. L., “The Association Between Pancreatic Steatosis and Metabolic Syndrome: A 5‐Year Follow‐Up Study Among a General Chinese Population,” Pancreas 51, no. 8 (2022): 1000–1006, 10.1097/mpa.0000000000002138. [DOI] [PubMed] [Google Scholar]
- 204. Ookura R., Usuki N., and Miki Y., “Correlation Between Pancreatic Fat Deposition and Metabolic Syndrome: Relationships With Location in the Pancreas and Sex,” Internal Medicine 63, no. 15 (2024): 2113–2123, 10.2169/internalmedicine.2450-23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 205. Pieńkowska J., Brzeska B., Kaszubowski M., Kozak O., Jankowska A., and Szurowska E., “MRI Assessment of Ectopic Fat Accumulation in Pancreas, Liver and Skeletal Muscle in Patients With Obesity, Overweight and Normal BMI in Correlation With the Presence of Central Obesity and Metabolic Syndrome,” Diabetes, Metabolic Syndrome and Obesity 12 (2019): 623–636, 10.2147/DMSO.S194690. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 206. Ballester‐Vallés C., Flores‐Méndez J., Delgado‐Moraleda J., et al., “Hepatic and Pancreatic Fat as Imaging Biomarkers of Metabolic Syndrome,” Radiología 62, no. 2 (2020): 122–130, 10.1016/j.rx.2019.05.010. [DOI] [PubMed] [Google Scholar]
- 207. Rosenblatt R., Mehta A., Snell D., Hissong E., Kierans A. S., and Kumar S., “Ultrasonographic Nonalcoholic Fatty Pancreas is Associated With Advanced Fibrosis in NAFLD: A Retrospective Analysis,” Digestive Diseases and Sciences 64, no. 1 (2019): 262–268, 10.1007/s10620-018-5295-x. [DOI] [PubMed] [Google Scholar]
- 208. Mak A. L., Wassenaar N., van Dijk A. M., et al., “Intrapancreatic Fat Deposition is Unrelated to Liver Steatosis in Metabolic Dysfunction‐Associated Steatotic Liver Disease,” JHEP Reports 6, no. 3 (2024): 100998, 10.1016/j.jhepr.2023.100998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 209. Ulasoglu C., Tekin Z. N., Akan K., and Yavuz A., “Does Nonalcoholic Pancreatic Steatosis Always Correlate With Nonalcoholic Fatty Liver Disease?,” Clinical and Experimental Gastroenterology 14 (2021): 269–275, 10.2147/ceg.s317340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 210. Bhalla S., Kuchel G. A., Pandol S., and Bishehsari F., “Association of Pancreatic Fatty Infiltration With Age and Metabolic Syndrome is Sex‐dependent,” Gastro Hep Advances 1, no. 3 (2022): 344–349, 10.1016/j.gastha.2022.01.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 211. Zhang Y., Liu Y., and Petrov M. S., “Relationship of Fat in the Pancreas With Cardiovascular Disease: A Systematic Review and Meta‐Analysis,” Obesity Reviews 26, no. 7 (2025): e13914, 10.1111/obr.13914. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 212. Cao M. J., Wu W. J., Chen J. W., et al., “Quantification of Ectopic Fat Storage in the Liver and Pancreas Using Six‐Point Dixon MRI and Its Association With Insulin Sensitivity and β‐Cell Function in Patients With Central Obesity,” European Radiology 33, no. 12 (2023): 9213–9222, 10.1007/s00330-023-09856-x. [DOI] [PubMed] [Google Scholar]
- 213. Yamazaki H., Tauchi S., Wang J., et al., “Longitudinal Association of Fatty Pancreas With the Incidence of type‐2 Diabetes in Lean Individuals: A 6‐Year Computed Tomography‐Based Cohort Study,” Journal of Gastroenterology 55, no. 7 (2020): 712–721, 10.1007/s00535-020-01683-x. [DOI] [PubMed] [Google Scholar]
- 214. Begovatz P., Koliaki C., Weber K., et al., “Pancreatic Adipose Tissue Infiltration, Parenchymal Steatosis and Beta Cell Function in Humans,” Diabetologia 58, no. 7 (2015): 1646–1655, 10.1007/s00125-015-3544-5. [DOI] [PubMed] [Google Scholar]
- 215. Martin S., Cule M., Basty N., et al., “Genetic Evidence for Different Adiposity Phenotypes and Their Opposing Influences on Ectopic Fat and Risk of Cardiometabolic Disease,” Diabetes 70, no. 8 (2021): 1843–1856, 10.2337/db21-0129. [DOI] [PubMed] [Google Scholar]
- 216. Sequeira I. R., Yip W. C., Lu L. W. W., et al., “Pancreas Fat, an Early Marker of Metabolic Risk? A Magnetic Resonance Study of Chinese and Caucasian Women: Tofi_Asia Study,” Frontiers in Physiology 13 (2022): 819606, 10.3389/fphys.2022.819606. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 217. Hakim O., Bonadonna R. C., Mohandas C., et al., “Associations Between Pancreatic Lipids and β‐Cell Function in Black African and White European Men With Type 2 Diabetes,” Journal of Clinical Endocrinology & Metabolism 104, no. 4 (2019): 1201–1210, 10.1210/jc.2018-01809. [DOI] [PubMed] [Google Scholar]
- 218. Ko J., Sequeira I. R., Skudder‐Hill L., Cho J., Poppitt S. D., and Petrov M. S., “Metabolic Traits Affecting the Relationship Between Liver Fat and Intrapancreatic Fat: A Mediation Analysis,” Diabetologia 66, no. 1 (2023): 190–200, 10.1007/s00125-022-05793-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 219. Tushuizen M. E., Bunck M. C., Pouwels P. J., et al., “Pancreatic Fat Content and beta‐cell Function in Men With and Without Type 2 Diabetes,” Diabetes Care 30, no. 11 (2007): 2916–2921, 10.2337/dc07-0326. [DOI] [PubMed] [Google Scholar]
- 220. Martin S., Sorokin E. P., Thomas E. L., et al., “Estimating the Effect of Liver and Pancreas Volume and Fat Content on Risk of Diabetes: A Mendelian Randomization Study,” Diabetes Care 45, no. 2 (2022): 460–468, 10.2337/dc21-1262. [DOI] [PubMed] [Google Scholar]
- 221. Raeder H., Johansson S., Holm P. I., et al., “Mutations in the CEL VNTR Cause a Syndrome of Diabetes and Pancreatic Exocrine Dysfunction,” Nature Genetics 38, no. 1 (2006): 54–62, 10.1038/ng1708. [DOI] [PubMed] [Google Scholar]
- 222. Hanafusa H., Morisada N., Nomura T., et al., “A Girl With CLOVES Syndrome With a Recurrent PIK3CA Somatic Mutation and Pancreatic Steatosis,” Human Genome Variation 6, no. 1 (2019): 31, 10.1038/s41439-019-0063-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 223. Chen S., Zeng K., Liu Q. C., et al., “Adropin Deficiency Worsens HFD‐Induced Metabolic Defects,” Cell Death & Disease 8, no. 8 (2017): e3008, 10.1038/cddis.2017.362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 224. Gaspar T. B., Jesus T. T., Azevedo M. T., et al., “Generation of an Obese Diabetic Mouse Model Upon Conditional Atrx Disruption,” Cancers 15, no. 11 (2023): 3018, 10.3390/cancers15113018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 225. Nuñez‐Durán E., Chanclón B., Sütt S., et al., “Protein Kinase STK25 Aggravates the Severity of Non‐Alcoholic Fatty Pancreas Disease in Mice,” Journal of Endocrinology 234, no. 1 (2017): 15–27, 10.1530/JOE-17-0018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 226. Jeon S., Lee J., Shin Y., and Yoon M., “Ascorbic Acid Reduces Insulin Resistance and Pancreatic Steatosis by Regulating Adipocyte Hypertrophy in Obese Ovariectomized Mice,” Canadian Journal of Physiology and Pharmacology 101, no. 6 (2023): 294–303, 10.1139/cjpp-2022-0339. [DOI] [PubMed] [Google Scholar]
- 227. Gao J., Huang T., Li J., et al., “Beneficial Effects of n‐3 Polyunsaturated Fatty Acids on Offspring's Pancreas of Gestational Diabetes Rats,” Journal of Agricultural and Food Chemistry 67, no. 48 (2019): 13269–13281, 10.1021/acs.jafc.9b05739. [DOI] [PubMed] [Google Scholar]
- 228. Sakai T., Kusakabe T., Ebihara K., et al., “Leptin Restores the Insulinotropic Effect of Exenatide in a Mouse Model of Type 2 Diabetes With Increased Adiposity Induced by Streptozotocin and high‐fat Diet,” American Journal of Physiology: Endocrinology and Metabolism 307, no. 8 (2014): E712–E719, 10.1152/ajpendo.00272.2014. [DOI] [PubMed] [Google Scholar]
- 229. Barroso Oquendo M., Siegel‐Axel D., Gerst F., et al., “Pancreatic Fat Cells of Humans With Type 2 Diabetes Display Reduced Adipogenic and Lipolytic Activity,” American Journal of Physiology ‐ Cell Physiology 320, no. 6 (2021): C1000–C1012, 10.1152/ajpcell.00595.2020. [DOI] [PubMed] [Google Scholar]
- 230. Lorza‐Gil E., Strauss O. D., Ziegler E., et al., “Incretin‐Responsive Human Pancreatic Adipose Tissue Organoids: A Functional Model for Fatty Pancreas Research,” Molecular Metabolism 91 (2025): 102067, 10.1016/j.molmet.2024.102067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 231. Zhang N., Sun Q., Zhang J., et al., “Intrapancreatic Adipocytes and Beta Cell Dedifferentiation in Human Type 2 Diabetes,” Diabetologia (2025). [DOI] [PubMed] [Google Scholar]
- 232. Skytte M. J., Samkani A., Petersen A. D., et al., “A Carbohydrate‐Reduced High‐Protein Diet Improves HbA(1c) and Liver Fat Content in Weight Stable Participants With Type 2 Diabetes: A Randomised Controlled Trial,” Diabetologia 62, no. 11 (2019): 2066–2078, 10.1007/s00125-019-4956-4. [DOI] [PubMed] [Google Scholar]
- 233. Al‐Mrabeh A., Hollingsworth K. G., Shaw J. A. M., et al., “2‐Year Remission of Type 2 Diabetes and Pancreas Morphology: A Post‐Hoc Analysis of the Direct Open‐Label, Cluster‐Randomised Trial,” Lancet Diabetes & Endocrinology 8, no. 12 (2020): 939–948, 10.1016/s2213-8587(20)30303-x. [DOI] [PubMed] [Google Scholar]
- 234. Thomsen M. N., Skytte M. J., Samkani A., et al., “Dietary Carbohydrate Restriction Augments Weight Loss‐Induced Improvements in Glycaemic Control and Liver Fat in Individuals With Type 2 Diabetes: A Randomised Controlled Trial,” Diabetologia 65, no. 3 (2022): 506–517, 10.1007/s00125-021-05628-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 235. Della Pepa G., Brancato V., Costabile G., et al., “An Isoenergetic Multifactorial Diet Reduces Pancreatic Fat and Increases Postprandial Insulin Response in Patients With Type 2 Diabetes: A Randomized Controlled Trial,” Diabetes Care 45, no. 9 (2022): 1935–1942, 10.2337/dc22-0605. [DOI] [PubMed] [Google Scholar]
- 236. Li M., Zheng Q., Miller J. D., et al., “Aerobic Training Reduces Pancreatic Fat Content and Improves β‐Cell Function: A Randomized Controlled Trial Using IDEAL‐IQ Magnetic Resonance Imaging,” Diabetes/Metabolism Research and Reviews 38, no. 4 (2022): e3516, 10.1002/dmrr.3516. [DOI] [PubMed] [Google Scholar]
- 237. Wang Y., Liu Y., and Petrov M. S., “The Effects of Metabolic Bariatric Surgery on Intra‐Pancreatic Fat Deposition and Total Pancreas Volume: A Systematic Review and Meta‐Analysis,” Obesity Surgery 35, no. 4 (2025): 1513–1524, 10.1007/s11695-025-07778-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 238. Salman A. A., Salman M. A., Said M., et al., “Improvement of Pancreatic Steatosis and Indices of Insulin Resistance After Metabolic Surgery,” Frontiers of Medicine 9 (2022): 894465, 10.3389/fmed.2022.894465. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 239. Petrov M. S., “The Pharmacological Landscape for Fatty Change of the Pancreas,” Drugs 84, no. 4 (2024): 375–384, 10.1007/s40265-024-02022-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 240. Hummel J., Machann J., Dannecker C., et al., “Eight Weeks of Empagliflozin Does Not Affect Pancreatic Fat Content and Insulin Secretion in People With Prediabetes,” Diabetes, Obesity and Metabolism 24, no. 8 (2022): 1661–1666, 10.1111/dom.14733. [DOI] [PubMed] [Google Scholar]
- 241. Shi M., Zhang H., Wang W., et al., “Effect of Dapagliflozin on Liver and Pancreatic Fat in Patients With Type 2 Diabetes and Non‐Alcoholic Fatty Liver Disease,” Journal of Diabetic Complications 37, no. 10 (2023): 108610, 10.1016/j.jdiacomp.2023.108610. [DOI] [PubMed] [Google Scholar]
- 242. Smits M. M., Tonneijck L., Muskiet M. H., et al., “Pancreatic Effects of Liraglutide or Sitagliptin in Overweight Patients With Type 2 Diabetes: A 12‐Week Randomized, Placebo‐Controlled Trial,” Diabetes Care 40, no. 3 (2017): 301–308, 10.2337/dc16-0836. [DOI] [PubMed] [Google Scholar]
- 243. Honka H., Koffert J., Hannukainen J. C., et al., “The Effects of Bariatric Surgery on Pancreatic Lipid Metabolism and Blood Flow,” Journal of Clinical Endocrinology & Metabolism 100, no. 5 (2015): 2015–2023, 10.1210/jc.2014-4236. [DOI] [PubMed] [Google Scholar]
- 244. Rebours V., Garteiser P., Ribeiro‐Parenti L., et al., “Obesity‐Induced Pancreatopathy in Rats is Reversible After Bariatric Surgery,” Scientific Reports 8, no. 1 (2018): 16295, 10.1038/s41598-018-34515-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 245. Lautenbach A., Wernecke M., Riedel N., et al., “Adaptive Changes in Pancreas Post Roux‐En‐Y Gastric Bypass Induced Weight Loss,” Diabetes/Metabolism Research and Reviews 34, no. 7 (2018): e3025, 10.1002/dmrr.3025. [DOI] [PubMed] [Google Scholar]
- 246. Umemura A., Sasaki A., Nitta H., et al., “Pancreas Volume Reduction and Metabolic Effects in Japanese Patients With Severe Obesity Following Laparoscopic Sleeve Gastrectomy,” Endocrine Journal 64, no. 5 (2017): 487–498, 10.1507/endocrj.ej16-0321. [DOI] [PubMed] [Google Scholar]
- 247. Petrov M. S., “Fateful Fat: Intra‐Pancreatic Lipids Cause Pancreatic Cancer,” Cell Reports Medicine 5, no. 2 (2024): 101428, 10.1016/j.xcrm.2024.101428. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 248. Frendi S., Martineau C., Cazier H., et al., “Role of the Fatty Pancreatic Infiltration in Pancreatic Oncogenesis,” Scientific Reports 14, no. 1 (2024): 6582, 10.1038/s41598-024-57294-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 249. Saisho Y., Butler A. E., Meier J. J., et al., “Pancreas Volumes in Humans From Birth to Age One Hundred Taking Into Account Sex, Obesity, and Presence of Type‐2 Diabetes,” Clinical Anatomy 20, no. 8 (2007): 933–942, 10.1002/ca.20543. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 250. Rossi A. P., Fantin F., Zamboni G. A., et al., “Predictors of Ectopic Fat Accumulation in Liver and Pancreas in Obese Men and Women,” Obesity 19, no. 9 (2011): 1747–1754, 10.1038/oby.2011.114. [DOI] [PubMed] [Google Scholar]
- 251. Crane J. D., Yellin S. A., Ong F. J., et al., “ELBW Survivors in Early Adulthood Have Higher Hepatic, Pancreatic and Subcutaneous Fat,” Scientific Reports 6, no. 1 (2016): 31560, 10.1038/srep31560. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supporting Information S1
Supporting Information S2
Supporting Information S3
Figure S4: Accumulation of adipocytes both within lobules (intralobular; arrows) and in the interlobular space (extralobular; asterisks).
Figure S5: Rare occurrence of adipocytes inside an islet of Langerhans (asterisk). Some intralobular adipocytes (arrows) are also present.
Figure S6: Sparse remnants of acinar parenchyma (a; arrows) and islets of Langerhans (b; arrows) amid sheets of adipocytes in advanced fatty pancreas.
Figure S7: Pancreatic parenchyma with fatty pancreas‐related changes and surrounding peripancreatic fat (a). A line connecting the most peripheral (remnants of) parenchyma demarcates peripancreatic fat (yellow) from extralobular fat (green; intralobular fat: red) (b).
Figure S8: Different types of fatty pancreas in some patients: (a) more pronounced at the head and body, (b) due to focal pancreatitis sequela in the body, (c) patchy nodular fat in the distal pancreas.
Figure S9: Focal fat in the pancreatic head (*) simulating a mass on computed tomography (a), in‐phase (b), and opposed‐phase (c) images. A signal drop is consistent with the presence of focal fat.
Figure S10: Distal fatty pancreas due to a proximal neuroendocrine tumor in the pancreatic body (white arrow).
Figure S11: Lipomatous pseudohypertrophy of the pancreas with enlargement of the pancreatic tissue with adipose tissue (white arrows).
Figure S12: Distal pancreatic agenesis and a dependent stomach. The splenic vein is shown touching the stomach.
Figure S13: Patient with a pancreatic fat‐containing mass (*) on computed tomography (a, b) with a solid component diagnosed with pancreatoblastoma. In in‐phase (c) and opposed‐phase (d) images, there is no signal drop due to the presence of microscopic fat.
Figure S14: Two patients with cystic fibrosis (a) and Schwachman–Diamond Syndrome (b) with diffuse fatty pancreas imaged using computed tomography.
Figure S15a: Shown are (a) endoscopic ultrasound (EUS)‐normal pancreas, (e) EUS‐mild‐to‐moderate fatty pancreas (body and tail).
Figure S15b: (b) EUS‐mild‐to‐moderate fatty pancreas (head).
Figure S15c: (c) EUS‐severe fatty pancreas (head).
Figure S15d: (d) EUS‐normal pancreas.
Figure S15e: (e) EUS‐mild‐to‐moderate fatty pancreas (body and tail).
Figure S15f: (f) EUS‐severe fatty pancreas (body and tail).
Table S1: Participating societies.
Table S2: Overview of the working groups.
Data Availability Statement
Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.
