ArticleEuropean radiology2025
Additive value of perivascular fat density to CT angiography characteristics of carotid plaques in predicting symptomatic carotid plaques.
Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Perivascular fat attenuation on computed tomography angiography is associated with aneurysm recurrence after endovascular coil embolization.Neuroradiology · 2026Article
- Plaque-level comparison of carotid CTA and high-resolution magnetic resonance vessel wall imaging for assessing MRI-defined plaque vulnerability.European radiology · 2026Article
- Spectral CT parameters of perivascular adipose tissue as non-invasive biomarkers for identifying symptomatic carotid atherosclerosis.Insights into imaging · 2026Article
- How do age, sex, and carotid segment influence carotid ultrasonography based on vector flow imaging and radiofrequency analysis in healthy subjects?BMC medical imaging · 2026Article
- Interpretable machine learning for detecting symptomatic patients with carotid atherosclerosis on computed tomography angiography: a retrospective diagnostic study.BMC medical imaging · 2025Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aimed to investigate the relationship between perivascular fat density (PFD) and carotid plaque characteristics while exploring the additive diagnostic value of PFD in predicting symptomatic carotid plaques. MATERIALS AND
methodsIn a single-center retrospective case-control study, 315 patients with unilateral carotid atherosclerosis were classified into symptomatic and asymptomatic groups based on the presence of acute ischemic stroke or transient ischemic attack (TIA) within 2 weeks before carotid computed tomography angiography (CTA). Plaque CTA features and PFD were assessed, and their relationship was analyzed using Spearman's rank correlation. Logistic regression analysis was employed to identify risk factors for symptomatic carotid plaques, and predictive models were subsequently developed. The performance of these models was further evaluated.
resultsA positive linear correlation was found between PFD and plaque CTA characteristics (p < 0.05). PFD, degree of stenosis, plaque burden, and soft plaque thickness were identified as predictors of symptomatic carotid plaques. Receiver operating characteristic (ROC) curves showed that the areas under the curves (AUC) increased from 0.631 to 0.846 with the addition of plaque burden, soft plaque thickness, and PFD to a degree of stenosis. The calibration curves of the combined model with PFD and plaque risk features demonstrated good predictive consistency. Decision curve analysis suggested that the combined model provided higher clinical benefit.
conclusionsPFD may serve as a valuable imaging marker for vulnerable plaques, providing additional diagnostic value in risk assessment. The combination of PFD with plaque risk features may further enhance the predictive performance of symptomatic carotid plaques. KEY POINTS: Question Does perivascular fat density (PFD) add additional predictive value to plaque risk features on CT angiography (CTA) in the assessment of symptomatic carotid plaques? Findings PFD provides additive predictive value for symptomatic carotid plaques. Combining PFD with stenosis severity and plaque CTA features improves prediction. Clinical relevance PFD may serve as a valuable imaging biomarker for risk stratification and clinical decision-making in carotid atherosclerosis.
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