Perivascular fat attenuation on computed tomography angiography is associated with aneurysm recurrence after endovascular coil embolization

PURPOSE: Vascular inflammation contributes to aneurysm wall instability and impaired healing after endovascular treatment. We evaluated whether perivascular adipose tissue attenuation around the ipsilateral cervical internal carotid artery on pretreatment computed tomography angiography predicts angiographic recurrence after coil embolization. METHODS: This single-center retrospective cohort study included 303 adults treated with coil embolization without stent assistance for anterior-circulation aneurysms between January 2020 and December 2023. Perivascular adipose tissue was segmented around the ipsilateral C1 segment using a -190 to -30 HU threshold and measured independently by two blinded neuroradiologists. Recurrence was defined as new intra-aneurysmal flow on follow-up imaging confirmed by digital subtraction angiography. Logistic regression with candidate variables pre-selected at P < 0.05, Cox regression, receiver operating characteristic analysis, calibration, bootstrap internal validation, decision-curve analysis, side-specific PVAT ratios, and contralateral C1 measurements were used to assess the association of PVAT with recurrence. RESULTS: During a median follow-up of 23.50 months, 36 patients (11.90%) developed recurrence. Recurrent aneurysms had larger maximum diameter (6.82 ± 1.68 vs. 5.70 ± 1.99 mm), wider neck (3.38 ± 0.83 vs. 2.56 ± 0.86 mm), and higher ipsilateral perivascular adipose tissue attenuation (-59.50 ± 6.30 vs. -70.00 ± 6.60 HU; all P < 0.01). Perivascular adipose tissue remained independently associated with recurrence in logistic regression (odds ratio 1.30, 95% confidence interval 1.17-1.45) and Cox regression (hazard ratio 1.18, 95% confidence interval 1.11-1.26), and the LASSO-penalized optimism-corrected AUC was 0.83. Adding perivascular adipose tissue improved the apparent AUC from 0.73 to 0.86. CONCLUSION: Ipsilateral cervical internal carotid artery perivascular adipose tissue attenuation on routine computed tomography angiography is associated with angiographic recurrence after coil embolization in this single-center cohort. This exploratory association may improve risk stratification when combined with standard morphological predictors, but external validation is required before clinical use.

Authors

Institutions

Publication Details

Journal
Neuroradiology
Published
2026-08-26
DOI
https://doi.org/10.1007/s00234-026-04164-9
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Perivascular fat attenuation on computed tomography angiography is associated with aneurysm recurrence after endovascular coil embolization

Bomin Pan, Haifei Chai, Xufeng Pan, Sheng Ruan et al.
Neuroradiology
Cardiovascular Disease and Adiposity
article

Perivascular fat attenuation on computed tomography angiography is associated with aneurysm recurrence after endovascular coil embolization

Bomin Pan, Haifei Chai, Xufeng Pan, Sheng Ruan, Yaojun Cai, Jiangsong Yu, Ting Guo
article en

Abstract

PURPOSE: Vascular inflammation contributes to aneurysm wall instability and impaired healing after endovascular treatment. We evaluated whether perivascular adipose tissue attenuation around the ipsilateral cervical internal carotid artery on pretreatment computed tomography angiography predicts angiographic recurrence after coil embolization. METHODS: This single-center retrospective cohort study included 303 adults treated with coil embolization without stent assistance for anterior-circulation aneurysms between January 2020 and December 2023. Perivascular adipose tissue was segmented around the ipsilateral C1 segment using a -190 to -30 HU threshold and measured independently by two blinded neuroradiologists. Recurrence was defined as new intra-aneurysmal flow on follow-up imaging confirmed by digital subtraction angiography. Logistic regression with candidate variables pre-selected at P < 0.05, Cox regression, receiver operating characteristic analysis, calibration, bootstrap internal validation, decision-curve analysis, side-specific PVAT ratios, and contralateral C1 measurements were used to assess the association of PVAT with recurrence. RESULTS: During a median follow-up of 23.50 months, 36 patients (11.90%) developed recurrence. Recurrent aneurysms had larger maximum diameter (6.82 ± 1.68 vs. 5.70 ± 1.99 mm), wider neck (3.38 ± 0.83 vs. 2.56 ± 0.86 mm), and higher ipsilateral perivascular adipose tissue attenuation (-59.50 ± 6.30 vs. -70.00 ± 6.60 HU; all P < 0.01). Perivascular adipose tissue remained independently associated with recurrence in logistic regression (odds ratio 1.30, 95% confidence interval 1.17-1.45) and Cox regression (hazard ratio 1.18, 95% confidence interval 1.11-1.26), and the LASSO-penalized optimism-corrected AUC was 0.83. Adding perivascular adipose tissue improved the apparent AUC from 0.73 to 0.86. CONCLUSION: Ipsilateral cervical internal carotid artery perivascular adipose tissue attenuation on routine computed tomography angiography is associated with angiographic recurrence after coil embolization in this single-center cohort. This exploratory association may improve risk stratification when combined with standard morphological predictors, but external validation is required before clinical use.

Neuroradiology
Wenzhou Medical University (CN), Zhejiang Taizhou Hospital (CN)
Science and Technology Plan Project of Taizhou
Good health and well-being
Openalex Percentile: Top 11%
Cardiovascular Disease and Adiposity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.