Abstract
Objective
We aimed to investigate whether 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography (2-[18F]FDG PET/CT) can aid in evaluating the risk of malignancy in ampullary tumors detected by endoscopy.
Materials and Methods
This single-center retrospective cohort study analyzed 155 patients (79 male, 76 female; mean age, 65.7 ± 12.7 years) receiving 2-[18F]FDG PET/CT for endoscopy-detected ampullary tumors 5–87 days (median, 7 days) after the diagnostic endoscopy between June 2007 and December 2020. The final diagnosis was made based on histopathological findings. The PET imaging parameters were compared with clinical data and endoscopic features. A model to predict the risk of malignancy, based on PET, endoscopy, and clinical findings, was generated and validated using multivariable logistic regression analysis and an additional bootstrapping method. The final model was compared with standard endoscopy for the diagnosis of ampullary cancer using the DeLong test.
Results
The mean tumor size was 17.1 ± 7.7 mm. Sixty-four (41.3%) tumors were benign, and 91 (58.7%) were malignant. Univariable analysis found that ampullary neoplasms with a blood-pool corrected peak standardized uptake value in early-phase scan (SUVe) ≥ 1.7 were more likely to be malignant (odds ratio [OR], 16.06; 95% confidence interval [CI], 7.13–36.18; P < 0.001). Multivariable analysis identified the presence of jaundice (adjusted OR [aOR], 4.89; 95% CI, 1.80–13.33; P = 0.002), malignant traits in endoscopy (aOR, 6.80; 95% CI, 2.41–19.20; P < 0.001), SUVe ≥ 1.7 in PET (aOR, 5.43; 95% CI, 2.00–14.72; P < 0.001), and PET-detected nodal disease (aOR, 5.03; 95% CI, 1.16–21.86; P = 0.041) as independent predictors of malignancy. The model combining these four factors predicted ampullary cancers better than endoscopic diagnosis alone (area under the curve [AUC] and 95% CI: 0.925 [0.874–0.956] vs. 0.815 [0.732–0.873], P < 0.001). The model demonstrated an AUC of 0.921 (95% CI, 0.816–0.967) in candidates for endoscopic papillectomy.
Conclusion
Adding 2-[18F]FDG PET/CT to endoscopy can improve the diagnosis of ampullary cancer and may help refine therapeutic decision-making, particularly when contemplating endoscopic papillectomy.
Keywords: Ampulla of Vater, Endoscopy, 2-[18F]fluoro-2-deoxy-D-glucose, Positron emission tomography, Risk assessment
INTRODUCTION
All ampullary neoplasms need to be excised because of their potential for malignant transformation [1,2,3,4,5]. Being less invasive and equally effective in removing the tumors [3,4,5,6,7,8,9,10], endoscopic papillectomy (EP) has been proposed as a suitable alternative to pancreaticoduodenectomy in treating benign adenomas [1,3,4,5,6,7,8,9,10,11,12]. Nonetheless, the lack of a thorough nodal survey may have led to underestimation of the disease stage and subsequent inadequate treatment [3,4,5,6]. Histopathology of biopsy specimens is considered a reliable method to identify malignancy [3]; however, concordance rates of only 40%–70% have been reported for biopsy and surgically resected specimens [4]. Moreover, 15%–60% of presumed benign adenomas have been found to harbor small foci of adenocarcinoma after resection [3,4,5,7,8,12].
The European Society of Gastrointestinal Endoscopy supports the use of endoscopic ultrasonography (EUS) and magnetic resonance cholangiopancreatography (MRCP) for the preoperative staging of ampullary tumors [3]. EUS provides accurate T staging [3,4,5,7,8]. Despite the modest sensitivity of contrast-enhanced computed tomography (CT) in detecting malignant ampullary neoplasms, abrupt narrowing of the distal common bile duct and intrahepatic ductal dilatation are important signs for diagnosing malignancies [13,14]. Better N staging performance has been reported using MRCP than using EUS or contrast-enhanced CT; however, these studies only included a limited number of patients [3,15].
2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography/CT (2-[18F]FDG PET/CT) can image tumors with increased glycolysis [16], especially highly mitotic cells with KRAS mutations and Ki-67 overexpression [17,18,19]. These immunohistopathologic characteristics are also frequently seen in ampullary cancer [1,20,21,22]. Previous studies reported that 2-[18F]FDG PET/CT can help evaluate tumor invasion and predict survival in ampullary cancer [23,24,25]. In this study, we aimed to investigate whether 2-[18F]FDG PET/CT could help evaluate the risk of malignancy in endoscopy-detected ampullary tumors.
MATERIALS AND METHODS
Patients
This study was approved by the Institutional Review Board of the National Taiwan University Hospital (NTUH-IRB No. 202309007RINA). This retrospective study analyzed patients from a prospectively established observational cohort at the PET center of a university hospital in Northern Taiwan. From June 2007 to December 2020, consecutive patients referred by gastroenterologists for PET/CT of endoscopy-detected ampullary tumors were prospectively enrolled [23]. 2-[18F]FDG PET/CT was performed 5–87 days (median of 7 days) after diagnostic endoscopy to avoid procedure-related inflammation. Only patients who underwent tumor resection or active endoscopic surveillance for ≥ 5 years were included in this analysis (Fig. 1). The details are shown in Figure 1. All participants signed an informed consent form before undergoing PET/CT imaging.
Fig. 1. Flow diagram of study participants. 2-[18F]FDG PET = 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography, CT = computed tomography, EP = endoscopic papillectomy.
Clinical Data Collection and Diagnostic Endoscopy
Clinical information, including presenting symptoms and signs, and serum tumor marker (carbohydrate antigen 19-9 [CA19-9] and carcinoembryonic antigen) levels, was collected for analysis. The presence of malignant traits on the initial diagnostic endoscopy, including ulceration, spontaneous bleeding, friability, or submucosal involvement [12], and other endoscopic parameters, such as tumor size and the presence of ductal dilatation, were also recorded for analysis. Additional EUS or endoscopic retrospective cholangiopancreatography was performed to clarify tumor depth or ductal invasion whenever the gastroenterologists considered it necessary [4].
PET Imaging Protocol and Interpretation
All patients with a serum glucose level < 150 mg/dL, after a 6-hour fasting period, received 5–6 MBq/kg of 2-[18F]FDG intravenously. PET images were collected using PET/CT scanners routinely used at the NTUH PET Center (Discovery LS or Discovery 710, GE Medical Systems, Milwaukee, WI, USA). Following institutional and international guidelines [26], images were acquired 60 min post-injection (early-phase) from the mid-thigh to the head in 2D or 3D mode with 3-minute bed positions [23,27]. Before the delayed-phase scan (2-hour post-injection), bowel loop distention was achieved using an oral foaming contrast agent (Tae Joon Top Effervescent G Granule, Tae Joon Pharm, Seoul, South Korea). The PET images were iteratively reconstructed using the Ordered Subset Expectation Maximization algorithm with low-dose CT for attenuation correction and anatomical alignment. Calibration of each PET scanner was achieved using a National Electrical Manufacturers Association (NEMA) Image Quality (IQ) phantom, thereby standardizing standardized uptake values (SUVs) and aligning contrast recovery and reconstructions [28,29].
Two board-certified nuclear medicine specialists, each with more than 15 years of PET/CT experience, independently analyzed the anonymized early- and delayed-phase images using the Xeleris (GE Medical Systems) or Syngo.via (Siemens Healthcare, Knoxville, TN, USA) software. Each ampullary lesion’s uptake intensity and morphology were visually rated on a 5-point scale in relation to the normal liver [30] (Fig. 2): 1) definitively malignant (intense, focal uptake exceeding liver), 2) likely malignant (moderate, focal uptake exceeding liver), 3) equivocal (mild, focal uptake equal to or slightly greater than liver), 4) likely benign (uptake equal to liver, not focal), and 5) definitively benign (uptake less than liver, linear-like). A consensus malignancy score of ≤ 2 was agreed upon by both readers after discussion. Likewise, lymph node involvement was identified through the evaluation of morphology and intensity uptake exceeding background activity, unrelated to normal structures or artifacts. Semi-quantitation of SUVs (tissue concentration × injection dose-1 × body weight) of the main lesion was calculated on attenuation-corrected images using built-in software [16] and corrected with background blood-pool activity. Background blood pool activity was determined as the mean SUV (SUVmean) of a 1 cm diameter and 2 cm height columnar volume of interest placed within the descending aorta. The corrected peak SUV (SUVpeak) of the lesion was calculated from the tumor-to-blood-pool ratio for both early- (SUVe) and delayed-phase (SUVd) scans. Thus, the retention index (RI, [SUVd - SUVe] / SUVe × 100%) of the ampullary lesion was obtained [31,32]. Tumor volume was autosegmented at 40% of the maximum SUV (SUVmax), with manual corrections made in reference to low-dose CT to exclude physiological bowel or renal activity when needed [17,31]. Total lesion glycolysis (TLG, segmented tumor volume x SUVmean) was also calculated to represent the degree of upregulated glycolytic activity [17].
Fig. 2. Demonstration of the positron emission tomography 5-point scale in the visual assessment of each ampullary lesions (arrows) in axial and coronal views. A: A definitively malignant lesion with focal and intense uptake greater than liver was graded with a visual score of 1. B: A likely malignant lesion with focal uptake greater than liver was graded with a visual score of 2. C: An equivocal lesion with mild, but focal uptake equal to or slightly greater than liver, was graded with a visual score of 3. D: A likely benign lesion with uptake equal to liver without focal activity was graded with a visual score of 4. E: A definitively benign lesion with uptake less than liver was graded with a visual score of 5. SUV = standardized uptake value.
Patient Management
Decisions on resectability, including EP (ampullary tumor ≤ 30 mm in diameter and without evidence of intraductal growth in endoscopy [1,3,5,6,7]), were made in multidisciplinary discussions involving gastroenterologists, oncologists, radiologists, and nuclear medicine physicians. The resection method was decided based on all available information, including endoscopy, PET/CT, and the patient’s consent.
Standard of Reference
The reference standard was defined based on histopathology. Any malignant component revealed on biopsy or resected specimens was categorized as malignant disease. Any suspicious lymph nodes or distant metastases revealed by conventional imaging or PET/CT were histopathologically confirmed. A specimen classified as benign after curative resection or a benign biopsy followed by ≥ 5 years of negative endoscopic surveillance was categorized as benign disease.
Follow-Up and Surveillance
Patients undergoing tumor resection undergo biannual serum tumor marker checks and imaging, whereas those undergoing only endoscopic procedures undergo additional surveillance within 6 months, followed by a 3–12-month interval follow-up [4]. Biopsies were performed for suspected recurrence on endoscopy.
Statistical Analysis
Data were presented as number (%) and mean ± standard deviation (SD), or median with interquartile range (IQR) if significant skewness was observed. Factors were compared between the benign and malignant groups using t-test for parametric data and Wilcoxon-Mann-Whitney U test for nonparametric data. Visual assessment of the PET images was correlated with the final diagnosis using the chi-square test, and interobserver agreement was calculated using Cohen’s kappa test. Semiquantitative PET parameters were analyzed using receiver operating characteristic (ROC) curves, with optimal cut-off values determined using the Youden method [33]. The performance of standard endoscopy and PET parameters for diagnosing malignancy was compared. The risk factors for malignancy were examined for their ability to distinguish malignant from benign neoplasms by comparing one parameter with the outcome (cancer or not) at a time. Parameters showing a significant relationship (P < 0.05) were included in the multivariable analysis. Patients with missing data were excluded from the multivariable analysis. Multivariable logistic regression analysis with backward stepwise factor selection was used to achieve the best value for the Akaike information criterion and an additional bootstrapping method. A risk model combining PET findings with clinical and endoscopic findings was developed using the significant parameters derived from multivariable logistic regression analysis of the entire cohort. The performance of the model, including the area under the curve (AUC) and diagnostic performance at the optimal cut-off value determined using the Youden method, was compared with that of endoscopic diagnosis with or without clinical findings using the DeLong test. The same risk model and cut-off value were further applied to a subgroup of patients selected as EP candidates by endoscopy criteria, i.e. those with an ampullary tumor ≤ 30 mm and without intraductal growth. A P-value < 0.05 was considered statistically significant. All data were analyzed using SPSS version 26.0 (IBM Corp., Armonk, NY, USA).
RESULTS
Patient Characteristics
A total of 155 patients (79 male and 76 female; mean age, 65.7 ± 12.7 years) were analyzed (Table 1). Among these, 70 (45.2%) patients were candidates for EP according to international guidelines [3,4]. The baseline characteristics of the included patients are presented in Table 1. The prevalence of jaundice and fever was higher in the malignant lesion group, whereas more patients with benign lesions experienced abdominal pain (Table 1). Other clinical factors did not differ significantly between the groups. More patients had elevated CA19-9 levels in the malignant group (48.4% [44/91]) than in the benign group; however, the difference in the elevated levels was not significant (P = 0.068; Table 1). Additionally, there was no significant difference in the time interval between the endoscopic biopsy and PET between the benign and malignant groups (P = 0.196).
Table 1. Patient characteristics and comparisons of different pathology groups.
| All (n = 155) | Pathology groups | P | ||||
|---|---|---|---|---|---|---|
| Benign (n = 64) | Malignant (n = 91) | |||||
| Age, yrs | 65.7 ± 12.7 | 66.9 ± 11.7 | 64.9 ± 13.3 | 0.433 | ||
| Sex, male | 79 (51.0) | 33 (51.6) | 46 (50.6) | 0.903 | ||
| BMI, kg/m2 | 24.0 ± 3.9 | 24.3 ± 3.9 | 23.7 ± 4.0 | 0.211 | ||
| Diabetes | 43 (27.7) | 17 (26.6) | 26 (28.6) | 0.786 | ||
| Dyslipidemia | 20 (12.9) | 11 (17.2) | 9 (9.9) | 0.185 | ||
| Smoking | 42 (30.4) | 15 (25.9) | 27 (33.8) | 0.323 | ||
| Drinking | 24 (17.4) | 10 (17.2) | 14 (17.5) | 0.971 | ||
| Presenting symptoms | ||||||
| Pain | 64 (41.3) | 36 (56.3) | 28 (30.8) | 0.002 | ||
| Jaundice | 63 (40.7) | 10 (15.6) | 53 (58.2) | < 0.001 | ||
| Fever | 27 (17.4) | 6 (9.4) | 21 (23.1) | 0.027 | ||
| CA19-9 | ||||||
| Elevated (≥ 37 U/mL) | 56 (36.1) | 12 (18.8) | 44 (48.4) | < 0.001 | ||
| Level*, U/mL | 145.1 (50.7–1226.5) | 53.1 (42.5–222.2) | 160.2 (57.0–1391.0) | 0.068 | ||
| CEA | ||||||
| Elevated (≥ 5 ng/mL) | 14 (9.0) | 3 (4.7) | 11 (12.1) | 0.115 | ||
| Level*, U/mL | 10.7 (5.9–20.6) | 7.4 (5.1–23.4) | 11.3 (6.1–20.3) | 0.586 | ||
| Endoscopic procedure before PET | ||||||
| Biopsy before PET | ||||||
| Patients | 138 (89.0) | 57 (89.1) | 81 (89.0) | |||
| Time until PET, days | 8.0 (5.0–15.0) | 10.5 (5.0–21.3) | 8.0 (5.0–17.8) | |||
| Drainage before PET | ||||||
| Patients | 75 (48.4) | 26 (40.6) | 49 (53.8) | |||
| Time until PET, days | 9.0 (6.0–19.0) | 16.5 (7.0–44.3) | 8.0 (5.0–18.0) | |||
| Patient management | ||||||
| Surgical resection† | 91 (58.7) | 15 (23.4) | 76 (83.5) | |||
| Endoscopic papillectomy | 49 (31.6) | 44 (68.8) | 5 (5.5) | |||
| Observational surveillance | 5 (3.2) | 5 (7.8) | 0 (0) | |||
| Chemotherapy alone | 10 (6.5) | 0 (0) | 10 (11.0) | |||
Data are mean ± standard deviation, median (interquartile range), or number of patients (%).
*Tumor marker distribution only demonstrated in patients with elevated levels, †Surgical resection includes Whipple’s procedure, pyloric preserving pancreaticoduodenectomy, and local resection.
BMI = body mass index, CA19-9 = carbohydrate antigen 19-9, CEA = carcinoembryonic antigen, PET = positron emission tomography
The median time interval between PET/CT and pathological confirmation was 8 days (IQR, 2–25 days) in the entire cohort. Ninety-one patients (58.7%) underwent surgical resection, 49 (31.6%) underwent EP, 5 (3.2%) underwent active endoscopic surveillance, and 10 (6.5%) received chemotherapy alone (M1 disease) (Table 1). The mean tumor size, measured by endoscopy, was 17.1 ± 7.7 mm. Twenty-one (23.1%) ampullary cancers were identified as non-dysplastic or low-grade dysplastic neoplasms by biopsy, and 19/29 (65.5%) high-grade dysplastic biopsy specimens were later proven to harbor invasive components. Thirty-five (38.5%) of the 91 patients who underwent surgery were diagnosed with N1 disease, and distant metastases were found in 10 (11.0%) of the entire cohort. Details of the other histopathological findings are listed in Supplementary Table 1.
Endoscopic Features and PET Parameters
Malignant tumors were more likely to exhibit malignant traits in endoscopy (81.3% [74/91] vs. 32.8% [21/64], P < 0.001), cause biliary or pancreatic duct dilatation (88.1% [74/84] vs. 63.5% [40/63], P < 0.001), and were larger in size (19.2 ± 8.4 mm vs. 14.6 ± 5.9 mm, P = 0.003, Table 2). Good sensitivity (81.3%; 95% confidence interval [CI], 72.1%–88.0%) but lower specificity (67.2%; 95% CI, 55.0%–77.4%) was observed using endoscopically detected malignant traits to differentiate cancer from benign tumors (Table 3). Malignant tumors demonstrated a sensitivity of 61.5% (95% CI, 50.8%–71.6%) and specificity of 87.5% (95% CI, 76.9%–94.5%) in early-phase PET images and 65.9% (95% CI, 55.3%–75.6%) and 89.1% (95% CI, 78.8%–95.5%) in delayed-phase images. Interobserver agreement was superior in delayed-phase scans over early-phase, with κ values increasing from 0.71 to 0.88. The semiquantitative PET parameters of the primary tumor also differed significantly between the two groups (P < 0.001; Table 2, Fig. 3). Youden’s method proposed an SUVe cut-off of 1.7 to detect malignancy, offering a sensitivity of 76.9% (95% CI, 67.3%–84.4%), specificity of 82.8% (95% CI, 71.8%–90.1%), and accuracy of 79.4% (95% CI, 72.1%–85.4%) (Table 3). With an RI cut-off of 35%, the sensitivity, specificity, and accuracy were 78.9% (95% CI, 69.0%–86.8%), 56.3% (95% CI, 43.3%–68.6%), and 69.5% (95% CI, 61.6%–76.6%), respectively. Using a TLG cut-off of 7.0, the sensitivity, specificity, and accuracy were 77.8% (95% CI, 67.8%–85.9%), 73.4% (95% CI, 60.9%–83.7%), and 76.0% (95% CI, 68.4%–82.5%), respectively.
Table 2. Endoscopy and PET findings of the different pathology groups.
| All (n = 155) | Pathology groups | P | |||||
|---|---|---|---|---|---|---|---|
| Benign (n = 64) | Malignant (n = 91) | ||||||
| Endoscopy findings | |||||||
| Malignant traits | 95 (61.3) | 21 (32.8) | 74 (81.3) | < 0.001 | |||
| Size, mm | 17.1 ± 7.7 | 14.6 ± 5.9 | 19.2 ± 8.4 | 0.003 | |||
| Ductal dilatation | 114 (77.6) | 40 (63.5) | 74 (88.1) | < 0.001 | |||
| Biliary duct dilatation | 95 (64.6) | 27 (42.9) | 68 (81.0) | < 0.001 | |||
| Pancreatic duct dilatation | 79 (53.7) | 29 (46.0) | 50 (59.5) | 0.106 | |||
| PET findings | |||||||
| Ampullary tumor | |||||||
| Positive visual assessment | |||||||
| Early-phase | 64 (41.3) | 8 (12.5) | 56 (61.5) | < 0.001 | |||
| Delayed-phase | 67 (43.5) | 7 (11.0) | 60 (66.7) | < 0.001 | |||
| Semiquantitation | |||||||
| SUVe | 1.7 (1.2–3.0) | 1.3 (1.0–1.6) | 2.5 (1.7–3.7) | < 0.001 | |||
| RI, % | 47.5 (27.0–72.0) | 30.5 (16.3–59.5) | 58.5 (37.0–75.3) | < 0.001 | |||
| TLG | 7.7 (4.3–21.1) | 4.9 (2.8–7.0) | 13.9 (7.3–37.4) | < 0.001 | |||
| Positive node | 41 (26.5) | 3 (4.7) | 38 (41.8) | < 0.001 | |||
| Metastasis | 9 (5.8) | 0 (0.0) | 9 (9.9) | 0.010 | |||
Data are mean ± standard deviation, median (interquartile range), or number of patients (%).
PET = positron emission tomography, SUVe = blood-pool corrected peak standardized uptake value in early-phase scan, RI = retention index, TLG = total lesion glycolysis
Table 3. Diagnostic performance of endoscopy and PET.
| Endoscopy | PET (SUVe ≥ 1.7) | P | |
|---|---|---|---|
| Sensitivity | 81.3 (74/91) [72.1-88.0] | 76.9 (70/91) [67.3-84.4] | 0.466 |
| Specificity | 67.2 (43/64) [55.0-77.4] | 82.8 (53/64) [71.8-90.1] | 0.041 |
| Accuracy | 75.5 (117/155) [67.9-82.0] | 79.4 (123/155) [72.1-85.4] | 0.561 |
| Positive predictive value | 77.9 (74/95) [68.6-85.1] | 86.4 (70/81) [77.3-92.2] | 0.144 |
| Negative predictive value | 71.7 (43/60) [59.2-81.5] | 71.6 (53/74) [60.0-80.6] | 0.995 |
Data are percentages with raw numbers in parentheses and 95% confidence interval values in brackets.
PET = positron emission tomography, SUVe = blood-pool corrected peak standardized uptake value in early-phase scan
Fig. 3. Box plot comparisons of positron emission tomography parameters showed significant differences between benign and malignant pathology groups (A-C, P < 0.001). SUVe = blood-pool corrected peak standardized uptake value in early-phase scan.
In 64 patients with benign tumors, only 3 (4.7%) had false-positive nodes on PET, but no false-positive metastasis was found (Table 2). A PET-positive node suggested malignancy with 95.3% specificity (95% CI, 86.9%–99.0%) and 92.7% (95% CI, 80.1%–98.5%) positive predictive value (PPV), while PET-positive distant metastasis displayed both 100% specificity (95% CI, 94.4%–100%) and PPV (95% CI, 66.4%–100%). Among 76 cancer patients undergoing surgery, PET/CT showed a 54.3% (95% CI, 36.7%–71.2%) sensitivity for detecting nodal metastases.
Risk Factors and Prediction Model for Ampullary Cancer
Univariable analysis revealed that the absence of pain, jaundice, fever, elevated serum CA19-9 levels, and endoscopic features were significantly associated with malignancy (Table 4). All PET-derived parameters, notably ampullary tumors with SUVe ≥ 1.7 (odds ratio [OR], 16.06, P < 0.001), and PET-positive nodes were significant malignancy predictors (Table 4). Similar findings were observed for the EP candidates (Supplementary Table 2).
Table 4. Univariable and multivariable analysis in predicting ampullary cancer.
| Univariable | Multivariable | ||||||
|---|---|---|---|---|---|---|---|
| Unadjusted OR | P | Adjusted OR | P | ||||
| Age, yrs (for increase by 1) | 0.99 [0.96–1.01] | 0.345 | |||||
| Sex (male vs. female)* | 0.96 [0.51–1.82] | 0.901 | |||||
| Overweight (BMI ≥ 25 vs. < 25 kg/m2)* | 0.51 [0.26–1.01] | 0.054 | |||||
| Diabetes (present vs. absent)* | 1.11 [0.54–2.27] | 0.783 | |||||
| Dyslipidemia (present vs. absent)* | 0.53 [0.21–1.36] | 0.187 | |||||
| Smoking (ever vs. never)* | 1.46 [0.69–3.09] | 0.321 | |||||
| Drinking (ever vs. never)* | 1.02 [0.42–2.49] | 0.968 | |||||
| Presenting symptoms* | |||||||
| Pain (present vs. absent) | 0.35 [0.18–0.67] | 0.002 | Eliminated | ||||
| Jaundice (present vs. absent) | 7.53 [3.41–16.64] | < 0.001 | 4.89 [1.80–13.33] | 0.002 | |||
| Fever (present vs. absent) | 2.90 [1.10–7.66] | 0.032 | Eliminated | ||||
| Elevated tumor markers* | |||||||
| CA19-9 (≥ 37 vs. < 37 U/mL) | 4.06 [1.92–8.59] | < 0.001 | Eliminated | ||||
| CEA (≥ 5 vs. < 5 ng/mL) | 2.80 [0.75–10.46] | 0.127 | |||||
| Endoscopy findings | |||||||
| Malignant traits (present vs. absent)* | 12.33 [5.52–27.56] | < 0.001 | 6.80 [2.41–19.20] | < 0.001 | |||
| Size, mm (for increase by 1) | 1.10 [1.04–1.16] | 0.002 | Eliminated | ||||
| Ductal dilatation (present vs. absent)* | 4.26 [1.84–9.82] | 0.001 | Eliminated | ||||
| PET findings* | |||||||
| Ampullary tumor | |||||||
| Visual assessment (positive vs. negative) | |||||||
| Early-phase | 6.58 [3.13–13.82] | < 0.001 | Multicollinearity | ||||
| Delayed-phase | 9.63 [4.40–21.09] | < 0.001 | Multicollinearity | ||||
| Semiquantitation | |||||||
| SUVe (≥ 1.7 vs. < 1.7) | 16.06 [7.13–36.18] | < 0.001 | 5.43 [2.00–14.72] | < 0.001 | |||
| RI (≥ 35% vs. < 35%) | 4.80 [2.37–9.75] | < 0.001 | Eliminated | ||||
| TLG (≥ 7.0 vs. < 7.0) | 11.60 [5.41–24.85] | < 0.001 | Eliminated | ||||
| Positive node (present vs. absent) | 14.58 [4.25–49.96] | < 0.001 | 5.03 [1.16–21.86] | 0.041 | |||
| Metastasis (present vs. absent) | 14.85 [0.85–260.01] | 0.065 | |||||
Coefficient formula: 1.6 x Jaundice + 1.9 × Malignant traits + 1.7 × SUVe ≥ 1.7 + 1.6 × PET-detected node.
*For categorical variables with categories in parentheses, the former was compared with the latter (the reference) to calculate ORs and 95% confidence intervals with the logistic regression analysis.
OR = odds ratio, BMI = body mass index, CA19-9 = carbohydrate antigen 19-9, CEA = carcinoembryonic antigen, PET = positron emission tomography, SUVe = blood-pool corrected peak standardized uptake value in early-phase scan, RI = retention index, TLG = total lesion glycolysis
A total of 149 patients were included in the multivariable analysis, after excluding 6 patients with missing data (Fig. 1). After backward stepwise variable selection, multivariable regression analysis identified jaundice, malignant traits in endoscopy, a hypermetabolic ampullary tumor with SUVe ≥ 1.7, and PET-positive node as independent predictors of malignancy (Table 4). The risk model, which was developed using these significant parameters, was further validated using the bootstrapping method with 997 resampling times. This validation process generated similar coefficients and yielded comparable model performances (Supplementary Tables 3, 4). A multimodal risk score was established according to the model’s coefficient formula, as listed below and in Tables 4, 5.
Table 5. Diagnostic performance comparing endoscopy, endoscopy with jaundice, and the multimodal risk score (including PET parameters).
| Modality | Endoscopy | Endoscopy + jaundice* | Multimodal risk score† |
|---|---|---|---|
| Sensitivity | 86.1 (74/86) [76.9–92.6] | 94.2 (81/86) [87.0–98.1] | 88.4 (76/86) [79.7–94.3] |
| Specificity | 66.7 (42/63) [53.7–78.1] | 58.7 (37/63) [45.6–71.0] | 77.8 (49/63) [65.5–87.3] |
| Positive predictive value | 77.9 (74/95) [68.2–85.8] | 75.7 (81/107) [66.5–83.5] | 84.4 (76/90) [75.3–91.2] |
| Negative predictive value | 77.8 (42/54) [64.4–88.0] | 88.1 (37/42) [74.4–96.0] | 83.1 (49/59) [71.0–91.6] |
| Area under the curve | 0.815 [0.732–0.873] | 0.866 [0.796–0.913] | 0.925 [0.874–0.956] |
Data are percentages with raw numbers in parentheses and 95% confidence interval values in brackets. Cut-offs for each model were determined using the Youden method.
*Endoscopy + jaundice = 1.6 × jaundice + 1.9 × malignant traits (cut-off value = 1.6), †Multimodal risk score = 1.6 × jaundice + 1.9 × malignant traits + 1.7 × SUVe ≥ 1.7 + 1.6 × PET-detected node (cut-off value = 3.3).
PET = positron emission tomography, SUVe = blood-pool corrected peak standardized uptake value in early-phase scan
| 1.6 × Jaundice + 1.9 × Malignant traits + 1.7 × SUVe ≥ 1.7 + 1.6 × PET-detected node |
Combining Clinical Symptoms, Endoscopic Features, and PET Parameters to Predict the Risk of Ampullary Cancer
The multimodal risk score showed a sensitivity of 88.4% (95% CI, 79.7%–94.3%) and specificity of 77.8% (95% CI, 65.5%–87.3%) in predicting ampullary malignancy using a cut-off value of 3.3 (Table 5). ROC analysis highlighted superior diagnostic efficacy when incorporating PET parameters, outperforming endoscopy alone (AUC: 0.925 [95% CI, 0.874–0.956] vs. 0.815 [95% CI, 0.732–0.873], P < 0.001), and even endoscopy with jaundice (AUC: 0.925 [95% CI, 0.874–0.956] vs. 0.866 [95% CI, 0.796–0.913], P < 0.001, Table 5, Fig. 4A). Using the same cut-off, the model achieved a sensitivity of 88.0% (95% CI, 68.8%–97.5%), specificity of 75.6% (95% CI, 60.5%–87.1%), and AUC of 0.921 (95% CI, 0.816–0.967) in the EP candidates group, as shown in Figure 4B. Our model appropriately reassigned 7 (10%) of the 70 EP candidates to a more suitable resection method than endoscopy alone. Figure 5 illustrates a case that emphasizes the effectiveness of the model.
Fig. 4. Receiver operating characteristic curve analysis of the risk model in all the patients (A) and in subgroup analysis of candidates for endoscopic papillectomy (B). Improved diagnostic performance was observed with additional clinical and positron emission tomography information compared to that of endoscopy alone. *P < 0.05. AUC = area under the curve.
Fig. 5. A 70-year-old female with a painful biliary obstruction was found to have an elevated CA19-9 level (51.6 U/mL). A-F: Endoscopy identified villous mucosal change of the ampulla without ulceration, bleeding, or friability (arrow, A). Endoscopic ultrasonography revealed a 16.6 mm hypoechoic tumor limited to the ampulla (arrow, B). There was no submucosal invasion or intraductal growth. The biopsy revealed a high-grade dysplastic neoplasm. Magnetic resonance imaging showed insignificant change of the ampulla (arrow, C) despite a marked dilated bile duct. 2-[18F]FDG PET/CT revealed a hypermetabolic ampulla with an SUVe of 3.2, retention index of 34%, and total lesion glycolysis of 23.5 (white arrows, D, E, F). The ampulla of Vater was clearly delineated using oral contrast (arrow, D). A few positive nodes near the hepatic artery were also visualized (black arrows, E, F). The patient was considered to have a low risk of cancer according to endoscopy and clinical presentation and was considered to be eligible for endoscopic papillectomy. However, a multimodal risk score of 4.9 was obtained after combining 2-[18F]FDG PET/CT information, indicating a high risk of occult malignancy. She received pancreaticoduodenectomy, and the final diagnosis showed adenocarcinoma of intestinal type. CA19-9 = carbohydrate antigen 19-9, 2-[18F]FDG PET/CT = 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography, SUVe = blood-pool corrected peak standardized uptake value in early-phase scan.
DISCUSSION
In this study, we investigated whether 2-[18F]FDG PET/CT could help evaluate the risk of cancer in patients with endoscopy-detected ampullary neoplasms. We found that: 1) PET/CT can predict the risk of malignancy for endoscopy-detected ampullary tumors (OR, 16.06; P < 0.001), 2) jaundice, malignant traits in endoscopy, a hypermetabolic ampullary tumor, and PET-detected nodal disease were independent predictors of malignancy, 3) a risk model that incorporates these independent predictors outperforms endoscopy alone in predicting ampullary malignancy (AUC, 0.925 vs. 0.815, P < 0.001), 4) sensitivity analysis with an AUC of 0.921 affirmed the robustness of the risk model in EP candidates, 5) moreover, the risk model could potentially modify treatment strategy by 10.0% compared to relying solely on endoscopic diagnosis, highlights the importance of integrating 2-[18F]FDG PET/CT in endoscopic treatment decisions.
This study found a significant correlation between hypermetabolic ampullary tumors detected by PET/CT and an increased malignancy risk. 2-[18F]FDG PET/CT, a noninvasive tool for staging cancers with upregulated glucose metabolism, is widely used [17,18,19,24,34]. Watanabe et al. [25] highlighted the link between tumor SUVmax, tumor invasion extent, and nodal metastasis, potentially guiding the choice of EP over surgery in tumors with a low SUVmax. Consistent with this, our study noted that an SUVe ≥ 1.7 and PET-detected nodal disease are probable indicators of ampullary cancer. In line with these findings, Wen et al. [35] found that visually assessed 2-[18F]FDG PET/CT had a higher specificity (78.6%) for differentiating between benign and malignant ampullary tumors than contrast-enhanced CT or magnetic resonance imaging (MRI) (35.7%), while maintaining a similar sensitivity of approximately 90%. They also noted greater diagnostic uncertainty in smaller tumors, especially those < 15 mm [35]. Using SUVpeak, a more robust and reproducible semiquantitative PET parameter [23,31,35], our results demonstrated good specificity of 82.8% in tumors sized 17.1 ± 7.7 mm using the dual-phase imaging [32,36]. Utilizing oral foaming contrast in our protocol enhanced the background-to-target contrast and improved tumor delineation, facilitating image interpretation [23]. Notably, all ampullary tumors in our cohort were detected using endoscopy, a clinical scenario frequently encountered in which a decision to perform EP, local resection, or pancreaticoduodenectomy must be made. The diagnostic performance of 2-[18F]FDG PET/CT was not inferior to that of endoscopy in detecting ampullary cancer (accuracy, 79.4% vs. 75.5%).
In addition to ampullary lesions, PET-detected nodal disease was an independent predictor of malignancy in the present study. 2-[18F]FDG PET/CT is also well-known for its ability to detect distant metastasis [23,35,37]. Metastatic foci revealed by PET/CT displayed 100% specificity and PPV for malignancy. Our cohort, using 2-[18F]FDG PET/CT for N staging, showed superior sensitivity (54.3%) compared with the 25.0% reported by Chen et al. [38] using MRI. As highlighted in our previous studies, PET-derived N and M stages offer prognostic insights for patients with ampullary cancer, underscoring the potential of 2-[18F]FDG PET/CT in treatment planning [23,35,37].
Clinical information is equally important in diagnosing ampullary cancers [3,6]. In our analysis, jaundice independently predicted malignancy and was included in the risk model. Despite its reported utility in detecting nodes in periampullary cancers, elevated serum CA19-9 levels could not reliably distinguish malignant from benign tumors, possibly because of the high cholangitis and ductal dilation rates in our cohort [39,40]. Applying a 37 U/mL cut-off, patients with higher CA19-9 levels had a 4.1-fold higher risk of malignancy (P < 0.001). However, this significance was diminished in multivariable and subgroup analyses, indicating a diminished role of traditional biochemical markers in differentiating early small cancers from adenomas [41]. Interestingly, a borderline association was observed between non-overweight status and cancer, particularly among EP candidates. One possible explanation may be cancer-associated mass wasting [42]; however, further information is needed to validate this hypothesis.
This single-center cohort study has some limitations. First, referral bias was inevitable, as the patients were referred for additional 2-[18F]FDG PET/CT only when decisions were difficult, resulting in a higher prevalence of N1 disease in our cohort [2,3,4]. This could be explained by the rarity of ampullary tumors [2]. Our results emphasize the use of 2-[18F]FDG PET/CT as an advanced imaging technique in real-world practice. Second, post-procedural inflammation could potentially affect 2-[18F]FDG PET/CT interpretation, leading to false positives [16]. However, owing to the necessity of prompt intervention in cases of tumor-related obstruction [3,4,12], delaying imaging and treatment is not ethical. Moreover, our study demonstrated the utility of PET/CT in assessing the malignancy risk in ampullary tumors, even when performed just 5 days after endoscopy or biliary drainage. Third, the risk model was not validated externally. Potential confirmation bias implies that our results should be interpreted with caution when applied to EP candidates. Finally, the lack of head-to-head comparisons among 2-[18F]FDG PET/CT, contrast-enhanced CT, and MRI may have limited the utility of PET/CT in the differential diagnosis of ampullary tumors in real-world scenarios, particularly for patients who contemplating surgical resection. More patients should be enrolled in future multicenter studies to validate the results of our study and their impact on treatment planning.
In conclusion, we demonstrated that a multimodal approach combining clinical data, endoscopy, and 2-[18F]FDG PET/CT improved the assessment of the malignancy risk in patients with endoscopy-detected ampullary tumors. This may help refine therapeutic decision-making, particularly when considering EP as a surgical alternative.
Acknowledgments
The authors thank the Center of Statistical Consultation and Research in the Department of Medical Research for statistical assistance, and all colleagues in the Nuclear Medicine Department for image acquisition and processing. The authors also thank the National Taiwan University Hospital and National Taiwan University College of Medicine for their generous support.
Footnotes
Conflicts of Interest: The authors have no potential conflicts of interest to disclose.
- Conceptualization: Hsiu-Po Wang, Mei-Fang Cheng.
- Data curation: Pei-Ju Chuang, Mei-Fang Cheng.
- Formal analysis: Pei-Ju Chuang, Wei-Shan Chin.
- Funding acquisition: Yu-Wen Tien, Mei-Fang Cheng.
- Investigation: Hsiu-Po Wang, Yu-Wen Tien, Min-Shu Hsieh, Chieh-Chang Chen, Tzu-Chan Hong.
- Methodology: Hsiu-Po Wang, Yu-Wen Tien, Yen-Wen Wu, Mei-Fang Cheng.
- Project administration: Hsiu-Po Wang, Yu-Wen Tien, Mei-Fang Cheng.
- Resources: Yu-Wen Tien, Mei-Fang Cheng.
- Software: Pei-Ju Chuang, Chi-Lun Ko, Yen-Wen Wu, Mei-Fang Cheng.
- Supervision: Hsiu-Po Wang, Yu-Wen Tien, Yen-Wen Wu, Mei-Fang Cheng.
- Validation: Wei-Shan Chin, Mei-Fang Cheng.
- Visualization: Pei-Ju Chuang, Chi-Lun Ko.
- Writing—original draft: Pei-Ju Chuang.
- Writing—review & editing: Tzu-Chan Hong, Mei-Fang Cheng.
Funding Statement: This work was partly supported by the Ministry of Science and Technology of Taiwan (MOST 112-2314-B-002-251-) to the author MF Cheng and YW Tien; and the National Taiwan University Hospital (NTUH-97N-1008, NTUH-100-N1732, and NTUH-103-S2397) to the author MF Cheng. The funding source has no role in the design, practice or analysis of this study. All other authors declare that they have no competing interests.
Availability of Data and Material
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Supplement
The Supplement is available with this article at https://doi.org/10.3348/kjr.2023.0295.
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Associated Data
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Supplementary Materials
Data Availability Statement
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.





