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Radiology: Cardiothoracic Imaging logoLink to Radiology: Cardiothoracic Imaging
. 2024 Feb 8;6(1):e230250. doi: 10.1148/ryct.230250

CT Attenuation of Periaortic Adipose Tissue in Abdominal Aortic Aneurysms

Samuel Debono 1,, Evangelos Tzolos 1, Maaz B J Syed 1, Jennifer Nash 1, Alexander J Fletcher 1, Marc R Dweck 1, David E Newby 1, Damini Dey 1, Rachael O Forsythe 1, Michelle C Williams 1
PMCID: PMC10912871  PMID: 38329405

Abstract

Purpose

To assess periaortic adipose tissue attenuation at CT angiography in different abdominal aortic aneurysm disease states.

Materials and Methods

In a retrospective observational study from January 2018 to December 2022, periaortic adipose tissue attenuation was assessed at CT angiography in patients with asymptomatic or symptomatic (including rupture) abdominal aortic aneurysms and controls without aneurysms. Adipose tissue attenuation was measured using semiautomated software in periaortic aneurysmal and nonaneurysmal segments of the abdominal aorta and in subcutaneous and visceral adipose tissue. Periaortic adipose tissue attenuation values between the three groups were assessed using Student t tests and Wilcoxon rank sum tests followed by a multiregression model.

Results

Eighty-eight individuals (median age, 70 years [IQR, 65–78]; 78 male and 10 female patients) were included: 70 patients with abdominal aortic aneurysms (40 asymptomatic and 30 symptomatic, including 24 with rupture) and 18 controls. There was no evidence of differences in the periaortic adipose tissue attenuation in the aneurysmal segment in asymptomatic patients versus controls (−81.44 HU ± 7 [SD] vs −83.27 HU ± 9; P = .43) and attenuation in nonaneurysmal segments between asymptomatic patients versus controls (−75.43 HU ± 8 vs −78.81 HU ± 6; P = .08). However, symptomatic patients demonstrated higher periaortic adipose tissue attenuation in both aneurysmal (−57.85 HU ± 7; P < .0001) and nonaneurysmal segments (−58.16 HU ± 8; P < .0001) when compared with the other two groups.

Conclusion

Periaortic adipose tissue CT attenuation was not increased in stable abdominal aortic aneurysm disease. There was a generalized increase in attenuation in patients with symptomatic disease, likely reflecting the systemic consequences of acute rupture.

Keywords: Abdominal Aortic Aneurysm, Periaortic Adipose Tissue Attenuation, CT Angiography

ClinicalTrials.gov registration no. NCT02229006

© RSNA, 2024

Keywords: Abdominal Aortic Aneurysm, Periaortic Adipose Tissue Attenuation, CT Angiography


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Summary

Periaortic adipose tissue CT attenuation was increased in symptomatic abdominal aortic aneurysms, including in patients with acute aortic rupture.

Key Points

  • ■ There was no difference in periaortic adipose tissue attenuation between asymptomatic patients and controls in the aneurysmal segment (−81.44 HU vs −83.27 HU; P = .43) and the nonaneurysmal segment (−75.43 HU vs −78.81 HU; P = .19).

  • ■ Periaortic adipose tissue attenuation was higher in symptomatic patients within aneurysmal (−57.85 HU) and nonaneurysmal (−58.16 HU) segments compared with asymptomatic patient and control groups (P < .001).

Introduction

Perivascular adipose tissue refers to any adipose tissue surrounding a blood vessel, including both periaortic and pericardial deposits (1). This tissue is metabolically active and secretes a number of bioactive substances termed adipokines. Excessive caloric intake causes adipose tissue remodeling through adipocyte hyperplasia and hypertrophy and subsequent adipocyte dysfunction and apoptosis, followed by inflammatory cell infiltration and fibrosis, which results in a chronic low-grade inflammatory state (2).

Analysis of pericoronary adipose tissue attenuation has shown its ability to predict myocardial infarction and all-cause and cardiac mortality on retrospective analyses of coronary CT angiograms (3,4). This imaging biomarker demonstrates a difference in CT-measured adipose tissue attenuation (from more negative to less negative Hounsfield unit values), purported to occur as a result of a shift in lipophilic content within the adipose tissue, possibly due to the presence of inflammation (5).

Abdominal aortic aneurysm pathophysiology is incompletely understood. It appears to result from medial wall atrophy and degeneration (6), which may be triggered by an initial inflammatory response, and neutrophil infiltration at the junction between the media and adventitia (6,7). A previous study reported that the presence of an abdominal aortic aneurysm was an independent predictor of higher perivascular adipose tissue attenuation around the aneurysm sac and correlated with aortic volume (8).

The objective of the present study was to assess periaortic adipose tissue attenuation at CT imaging in different abdominal aortic aneurysm disease states.

Materials and Methods

Study Design and Patients

This was a single-center, retrospective, observational study conducted between January 2018 and December 2022. Three groups comprised the study sample: (a) asymptomatic patients with an unruptured abdominal aortic aneurysm, (b) symptomatic patients with CT evidence of a ruptured abdominal aortic aneurysm or unruptured abdominal aortic aneurysm proceeding to repair, and (c) controls with a normal caliber abdominal aorta.

Asymptomatic patients and controls were consecutive study participants recruited in the Sodium [18F]Fluoride Imaging of Abdominal Aortic Aneurysms (SoFIA3) study (grant no. NCT02229006). This was a prospective case-control observational cohort study of patients with asymptomatic abdominal aortic aneurysms under US surveillance. Controls were recruited through the National Health Service Lothian National Abdominal Aortic Aneurysm Screening Program and had documented normal caliber aortas (<30-mm anteroposterior diameter) (9). The national program for abdominal aortic aneurysm screening in Scotland sends an invitation to all men aged 65 years to attend for an abdominal US screening test. Men who have a normal result are discharged from the screening program after one visit. This study was performed with research ethics committee approval (14/SS/0080) with informed patient consent and in accordance with the Declaration of Helsinki.

Symptomatic patients were those who had presented to their local emergency department with abdominal pain and a clinical suspicion of ruptured abdominal aortic aneurysm. Patients were included only if there was CT evidence of a ruptured abdominal aortic aneurysm or if they proceeded to undergo emergency repair of their abdominal aortic aneurysm. This use of retrospective imaging was approved by the research ethics committee (21/ES/0044), and the requirement for obtaining informed consent was waived.

Study Assessments

CT imaging.— Asymptomatic patients and controls underwent contrast-enhanced CT angiography (120 kV, 145 mAs, 3 × 3 mm, field of view, 400; and 1 × 1 mm, field of view, 300; triggered at 181 HU) at their study visit. Symptomatic patients underwent CT imaging according to local emergency department and radiology protocols. Aortic diameter was measured in the anteroposterior plane using the picture archiving and communication system (PACS; Carestream Health).

Adipose tissue assessment.— Data were exported in Digital Imaging and Communications in Medicine (DICOM) format. Assessment of visceral and subcutaneous adipose tissue attenuation was performed using OsiriX (version 13.0.0; Pixmeo). For each scan, four circular regions of interest were drawn in both the visceral fat and the subcutaneous fat at the midlevel of the third lumbar vertebra (10,11). The mean attenuation values were then calculated for each patient.

Periaortic adipose tissue attenuation assessment was performed using semiautomated software (Autoplaque version 2.5; Cedars-Sinai Medical Center) (12). Analysis for each individual was performed in two aortic regions: (a) the abdominal aorta (from just below the lowermost renal artery until the aortic bifurcation) and (b) the normal aorta (a 20-mm straight segment of nonaneurysmal aorta, usually in the suprarenal abdominal aorta). In patients with rupture, the normal segment of the aorta excluded areas with CT evidence of hemorrhage. The mean tissue attenuation at a 2-mm distance from the vessel wall was considered. Conversion factors were used on the attenuation values to adjust for different scans having been performed at different tube potentials (13,14).

Statistical Analysis

Continuous variables with normal distribution are presented as means ± SDs, and skewed continuous variables are presented as medians (IQRs). Categorical variables are presented as numbers (percentages). Periaortic adipose tissue attenuation values between the three groups were first assessed using Student t tests and Wilcoxon rank sum tests. Following this, a multiregression model was used with periaortic adipose tissue attenuation as the independent variable and age, hypertension, and hypercholesterolemia as the independent variables. Subcutaneous and visceral adipose tissue attenuation was assessed using Wilcoxon rank sum tests. Further statistical significance between the groups was assessed using Pearson χ2 tests, Fisher exact tests, and Kruskal-Wallis rank sum tests as appropriate. All statistical analyses were performed in RStudio (version V2022.02.3+492; RStudio). A two-sided P value less than .05 was considered statistically significant.

Results

The study sample comprised 88 individuals (median age, 70 years [IQR, 65–78]; 78 male and 10 female individuals). Forty patients had an asymptomatic unruptured abdominal aortic aneurysm, 30 patients had a symptomatic abdominal aortic aneurysm (six of which were unruptured), and 18 individuals were controls with a normal aortic diameter. All patients without aortic rupture presented with abdominal pain that was deemed to be due to an unruptured abdominal aortic aneurysm found at CT imaging. Symptomatic patients had a median C-reactive protein level of 21 mg/L (IQR, 6–54). Controls were younger and had fewer medical comorbidities than the other two groups (Table).

Patient Characteristics

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Periaortic Adipose Tissue Attenuation

There was no evidence of a difference in periaortic adipose tissue attenuation in the aneurysmal aorta between asymptomatic patients (−81.44 HU ± 7) and controls (−83.27 HU ± 9; P = .43) (Fig 1). Similarly, in the nonaneurysmal abdominal aorta, the periaortic adipose tissue attenuation of asymptomatic patients (−75.43 HU ± 8) did not differ from comparable segments in controls (−78.81 HU ± 6; P = .08).

Figure 1:

Periaortic adipose tissue attenuation within a 2-mm distance from vessel wall. Plot shows periaortic adipose tissue attenuation in the (A) aneurysmal and (B) nonaneurysmal segments of the abdominal aorta in controls (comparable but nonaneurysmal segments in controls were used) and patients with asymptomatic and symptomatic aneurysms. Patient groups with symptomatic aneurysms were subdivided into those with and without rupture. Each black point represents individual attenuation values. The upper and lower edges of the box represent the IQR and the middle horizontal line represents the median value in each group. ** = P < .01, *** = P < .001, **** = P < .0001, ns = not significant.

Periaortic adipose tissue attenuation within a 2-mm distance from vessel wall. Plot shows periaortic adipose tissue attenuation in the (A) aneurysmal and (B) nonaneurysmal segments of the abdominal aorta in controls (comparable but nonaneurysmal segments in controls were used) and patients with asymptomatic and symptomatic aneurysms. Patient groups with symptomatic aneurysms were subdivided into those with and without rupture. Each black point represents individual attenuation values. The upper and lower edges of the box represent the IQR and the middle horizontal line represents the median value in each group. ** = P < .01, *** = P < .001, **** = P < .0001, ns = not significant.

In symptomatic patients, both the aneurysmal abdominal aorta (−57.85 HU ± 7) and the nonaneurysmal abdominal aortic segment (−58.16 HU ± 8) demonstrated higher periaortic adipose tissue attenuation values when compared with the other two groups (all P < .0001; Fig 2). This was also true for separate analyses of symptomatic patients without rupture (aneurysmal segment: −58.72 HU ± 6 [both P < .0001]; nonaneurysmal segment: −60.84 HU ± 9 [asymptomatic, P = .008 and controls, P = .003]) and with rupture (aneurysmal segment: −57.63 HU ± 7 [both P < .0001]; nonaneurysmal segment: −57.47 HU ± 7 [both P < .0001]). In a multivariable regression analysis, acutely symptomatic aneurysms were associated with high periaortic adipose tissue attenuation values around the aneurysm as an independent variable (univariable ß estimate, 25.42 [95% CI: 21.12, 29.71]; P < .0001) and when corrected for age, the presence of hypertension, and the presence of hypercholesterolemia (multivariable ß estimate, 25.39 [95% CI: 20.51, 30.27]; P < .0001). Similar patterns were seen around segments of normal aorta (univariable ß estimate, 20.65 [95% CI: 16.20, 25.10]; P < .0001 and multivariate ß estimate, 21.21 [95% CI: 16.33, 26.10]; P < .0001) (Fig 1). A weak positive correlation was observed between aortic diameter and the periaortic adipose tissue attenuation in symptomatic patients (r = 0.29; P = .025) but not in the other two groups. No relationship was observed between periaortic adipose tissue attenuation and C-reactive protein levels.

Figure 2:

Periaortic adipose tissue in representative patients. Assessment of periaortic adipose tissue attenuation on sagittal CT images of the aorta in (A) a 66-year-old male individual from the control group (mean, −93.57 HU ± 41 [SD]), (B) a 79-year-old male patient with an asymptomatic aneurysm (mean, −89.45 HU ± 36), and (C) a 71-year-old female patient with aneurysm rupture (mean, −59.12 HU ± 21).

Periaortic adipose tissue in representative patients. Assessment of periaortic adipose tissue attenuation on sagittal CT images of the aorta in (A) a 66-year-old male individual from the control group (mean, −93.57 HU ± 41 [SD]), (B) a 79-year-old male patient with an asymptomatic aneurysm (mean, −89.45 HU ± 36), and (C) a 71-year-old female patient with aneurysm rupture (mean, −59.12 HU ± 21).

Visceral and Subcutaneous Fat Attenuation

Over a median area of 82.5 mm2, we found no evidence of differences in adipose tissue attenuation values between visceral (−106.1 HU [IQR, −109.5 to −99.9]) and subcutaneous fat (−108.2 HU [IQR, −112.2 to −101.3]; P = .06). Visceral fat attenuation was similar across the study groups (controls, −106.5 HU [IQR, −108.7 to −100.6]; asymptomatic patients, −106.2 HU [IQR, −109.9 to −102.1]; symptomatic patients without rupture, −102.0 HU [IQR, −107.6 to −93.1]; and symptomatic patients with rupture, −104.3 HU [IQR, −109.5 to −97.0]; P > .05 for all comparisons) (Fig 3).

Figure 3:

Plot shows visceral and subcutaneous adipose tissue attenuation. Subgroup analyses of (A) visceral and (B) subcutaneous adipose tissue attenuation in controls, patients with asymptomatic aneurysms, and patients with symptomatic aneurysms subdivided into those with and without rupture. Each point represents individual attenuation values displayed at different locations along the x-axis to prevent overplotting. The upper and lower edges of the box represent the IQR and the middle horizontal line represents the median value in each group. * = P < .05, ** = P < .01, ns = not significant.

Plot shows visceral and subcutaneous adipose tissue attenuation. Subgroup analyses of (A) visceral and (B) subcutaneous adipose tissue attenuation in controls, patients with asymptomatic aneurysms, and patients with symptomatic aneurysms subdivided into those with and without rupture. Each point represents individual attenuation values displayed at different locations along the x-axis to prevent overplotting. The upper and lower edges of the box represent the IQR and the middle horizontal line represents the median value in each group. * = P < .05, ** = P < .01, ns = not significant.

The subcutaneous fat attenuation was slightly higher in the symptomatic patients (−102.1 HU [−111.6 to −96]) when compared with asymptomatic patients (−110.0 HU [IQR, −112.2 to −106.7]; P = .006) but not when compared with controls (−107.8 HU [IQR, −112.2 to −102.7]; P = .095). These differences were most apparent in the subgroup of symptomatic patients with ruptured aneurysms (Fig 3).

Discussion

In this case-control study, we assessed periaortic adipose tissue CT attenuation in patients with abdominal aortic aneurysm disease. We found that periaortic adipose tissue attenuation was not directly influenced by the presence of abdominal aortic aneurysm disease per se, with similar values observed in individuals with (−81.44 HU ± 7) and without (−83.27 HU ± 9) abdominal aortic aneurysms. Indeed, even within the same individual, we observed no differences in periaortic adipose tissue attenuation in areas with and without aneurysm disease (−75.43 HU ± 8). However, patients with symptomatic aneurysms had increased periaortic adipose tissue attenuation (−57.85 HU ± 7) which was also present within nonaneurysmal segments of the aorta (−58.16 HU ± 8). This suggests that increased periaortic adipose tissue attenuation is not a localized feature of active aneurysm disease itself but a broader generalized aortic response to unstable active disease and acute rupture.

Atherosclerosis is the primary underlying process in the pathogenesis of acute myocardial infarction (15). The association of all-cause and cardiac mortality with pericoronary adipose tissue attenuation has been most convincingly demonstrated for the right coronary artery where the volume of fat is greatest (3,4). With the abdominal aorta being a much larger vessel and associated with even greater volumes of perivascular fat, we wanted to assess whether periaortic adipose tissue attenuation would associate and correlate with the presence and magnitude of abdominal aortic aneurysm disease. Histologic analysis of aneurysm tissue has shown the involvement of various inflammatory cell types such as macrophages and lymphocytes, and a role for inflammation in the pathogenesis of aneurysm disease has been proposed (16,17). Furthermore, murine models have shown a link between vascular inflammation, aneurysm formation, and perivascular adipose tissue through the angiotensin II type 1a receptor (18). It is therefore plausible that periaortic adipose tissue attenuation could be linked to, or be a marker of, abdominal aortic aneurysm disease activity. However, we identified no such association in patients with established stable aneurysm disease, with periaortic adipose tissue attenuation being similar between not only patients and controls but, importantly, also between normal regions of aorta and regions affected by aneurysmal disease within the same individual.

In a retrospective study, Dias-Neto and colleagues (8) have previously found that when compared with patients with occlusive aortoiliac disease and without aortic disease, the presence of an abdominal aortic aneurysm was an independent predictor of higher perivascular adipose tissue attenuation around the aneurysm sac and the healthy neck. They did, however, employ a rather different methodology to the pericoronary adipose tissue methodology that we employed here. First, they generated an attenuation value taking the summation of all the attenuation values from a range of −107 to −45 HU and dividing them by the area of the region of interest. Second, they included a large 10-mm distance from the outer wall of the aorta, which will likely include nonadipose tissue structures. In this study, we have used previously validated semiautomated software (12) to obtain mean attenuation values at a 2-mm distance from the aortic wall. We also considered the neck and body of the aorta together and compared a more remote region of healthy aorta away from the aneurysm sac and disease.

In pericoronary adipose tissue, Oikonomou and colleagues (3) used a cutoff value of greater than −70 HU as their at-risk population threshold. Moreover, the overall differences in pericoronary adipose tissue between those with and without future coronary events were small (~4–6 HU). Here, we have observed very large differences in periaortic adipose tissue attenuation between those with asymptomatic and symptomatic disease, approximately 25 HU. This dramatic difference is striking and importantly was observed in both the region of the aneurysm as well as the more distant nonaneurysmal unruptured aorta. This suggests that the large differences in periaortic adipose tissue attenuation between those with asymptomatic and symptomatic disease are not a regional effect at the segment of active disease and rupture but a more global aortic phenomenon. We wondered if this was a systemic effect that would affect all adipose tissue throughout the body and therefore explored adipose tissue attenuation in both subcutaneous and visceral fat. Here, we noted only a slight difference (approximately 8 HU) in the subcutaneous fat tissue of symptomatic patients with ruptured aneurysms. This change may perhaps reflect fluid shifts in the extracellular space consequent on systemic shock or intravenous fluid resuscitation leading to nonspecific increases in adipose tissue attenuation. However, this effect was not observed in visceral fat tissue.

While extravasation of blood in acute rupture may account for the difference in periaortic adipose tissue attenuation, this difference was also observed in symptomatic patients with unruptured aneurysms. The differences in subcutaneous tissue attenuation between the groups are, however, modest and could plausibly account for only approximately a third of the overall difference. We believe that the observed changes are most likely to represent the consequences of acute rupture rather than a true reflection of adventitial disease activity because of the lack of a regional effect with generalized changes observed in nonaneurysmal as well as aneurysmal segments of the aorta. Speculatively, this could be related to the increased fibrotic changes and presence of increased adipocyte clusters in the adventitia (19) or perhaps to changes in tissue attenuation in response to adventitial neurovascular reflexes as part of the physiologic response to aortic rupture and systemic hypotension (20).

Our study had some limitations. First, data for symptomatic patients were collected in a retrospective fashion from image archives and only minimal clinical data could be collected. Despite this, symptomatic patients were observed to have higher cardiovascular risk profiles than the other two groups, and this may account for some of the observed results. Second, asymptomatic patients and controls were imaged with a research scanner with a dedicated imaging protocol, whereas symptomatic patients were scanned with a variety of clinical scanners in different vascular centers in Scotland. While we have corrected the data for tube potential, imaging protocols were not uniform. Despite this, we have demonstrated that visceral fat attenuation between scans did not vary between the three study groups. Third, while the reproducibility for periaortic fat analysis has not been established, quantitative adipose tissue attenuation has previously shown excellent repeatability in much smaller structures, such as the pericoronary adipose tissue (21). Fourth, this study provides a single snapshot assessment of periaortic adipose tissue but does not provide an assessment over time. Thus, we cannot comment on its association with aneurysm development or progression.

In conclusion, periaortic adipose tissue CT attenuation was similar between asymptomatic individuals with abdominal aortic aneurysm disease and controls without aneurysms. Symptomatic patients with aneurysms had higher adipose tissue attenuation when compared with the other two groups. However, this difference was not localized to the abdominal aortic aneurysm and is likely to have been an acute nonspecific systemic effect. This suggests that periaortic adipose tissue attenuation may be of limited clinical value as a biomarker or risk stratification tool in abdominal aortic aneurysm disease. Further exploration of the implications and mechanisms underlying the generalized changes in adipose tissue attenuation in patients with symptomatic aneurysm disease is warranted.

Footnotes

S.D., M.B.J.S., A.J.F., M.R.D., D.E.N., R.O.F., and M.C.W. supported by the British Heart Foundation (grant nos. PG/21/10461, FS/18/31/33676, FS/19/15/34155, FS/SCRF/21/32010, RE/18/5/34216, FS/ICRF/20/26002, and CH/09/002/26360). M.R.D. is the recipient of the Sir Jules Thorn Award for Biomedical Research 2015 (15/JTA). D.E.N. is the recipient of a Wellcome Trust Senior Investigator Award (WT103782AIA). D.D. is supported by the National Institutes of Health National Heart, Lung, and Blood Institute (grant nos. 1R01HL148787-01A1 and 1R01HL151266) and a grant from the Winnick Foundation.

Data sharing: Data generated or analyzed during the study are available from the corresponding author by request.

Disclosures of conflicts of interest: S.D. British Heart Foundation Project Grant: Predicting endoleaks following endovascular aneurysm repair (PG/21/10461); financial support to attend relevant meetings from the British Heart Foundation Project Grant. E.T. No relevant relationships. M.B.J.S. No relevant relationships. J.N. No relevant relationships. A.J.F. No relevant relationships. M.R.D. No relevant relationships. D.E.N. No relevant relationships. D.D. May receive royalties from Cedars-Sinai Medical Center. R.O.F. No relevant relationships. M.C.W. Consulting fees from FEops; payment for speaking at meetings sponsored by Canon Medical Systems, Siemens Healthineers, and Novartis; president of the British Society of Cardiovascular Imaging; associate editor of Radiology: Cardiothoracic Imaging.

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