Evidence map›Paper›PMID 41318476›Full record

ArticleBMC medical imaging2025

A new predictor of disease activity in Takayasu's arteritis patients: pericarotid fat density.

Yu Lan, Ziwen Xie, Dongbo Li, Yuxue Dang, Li Sun, Huachen Ma, Yang Hou

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Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Yu Lan *Department of Radiology, Liaoning Cancer Hospital & Institude, No. 44 Xiao Heyan Road, Dadong District, Shenyang City, Liaoning Province, China.
Ziwen Xie *Department of Radiology, Shengjing Hospital of China Medical University, No. 36, Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, China.
Dongbo LiImaging Center, Affiliated Hospital of Inner Mongolia University for Nationalities, No. 1742, East Section of Huolinhe Street, Tongliao City, Inner Mongolia, 028007, China.
Yuxue DangDepartment of Radiology, Shengjing Hospital of China Medical University, No. 36, Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, China.
Li SunDepartment of Radiology, Shengjing Hospital of China Medical University, No. 36, Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, China.
Huachen MaDepartment of Radiology, Shengjing Hospital of China Medical University, No. 36, Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, China.
Yang HouDepartment of Radiology, Shengjing Hospital of China Medical University, No. 36, Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, China. houyang1973@163.com.

Funding

National Natural Science Foundation of China 82071920National Natural Science Foundation of China 82102035
6 · The paper itself

Abstract

objectiveTo explore the incremental value of carotid pericarotid fat density (PFD) in the assessment of disease activity in Takayasu’s arteritis (TA).

methodsSixty-one consecutive patients with TA from January 2010 to December 2021 were included in this study. Demographic and clinical characteristics, acute-phase reactants (APRs) and CTA indicator parameters were recorded. The effectiveness of CTA parameters including PFD in determining disease activity was assessed, with Erythrocyte Sedimentation Rate (ESR) used as a reference. A disease activity evaluation model was constructed to compare the benefits of the new model including PFD with ESR and Kerr scores by evaluating the consistency index (C-index), the net reclassification index (NRI) and the integrated discriminant index (IDI).

resultsIn total, 29 (47.54%) cases showed active disease. The C-index of ESR to indicate disease activity was 0.778 (95% CI: 0.635, 0.874). The new activity assessment model combining ESR, maximal wall thickness and PFD showed significant improvement in C-index over the ESR method (0.902 vs. 0.778, P < 0.01; NRI 0.948, P < 0.01; and IDI 0.204, P < 0.01). In addition, the new model demonstrated a significant superiority over the Kerr score in terms of the C-index (0.902 vs. 0.771, P < 0.05), NRI (1.142, 95% CI: 0.730, 1.556, P < 0.01) and IDI (0.300, 95% CI: 0.187, 0.423, P < 0.01).

conclusionsIn this cohort, CTA-derived perivascular fat density (PFD) showed association with disease activity in Takayasu’s arteritis patients and may provide complementary information to conventional assessment methods, suggesting its potential role in refining risk stratification.

Indexed as

Adipose TissueCarotid ArteriesTakayasu ArteritisAdultBlood SedimentationComputed Tomography AngiographyFemaleHumansMaleMiddle AgedSeverity of Illness IndexBiomarkersDisease activityMultidetector CT angiographyTakayasu’s arteritis

Identifiers

PMID41318476
PMCPMC12771734

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.