Predicting symptomatic carotid artery plaques with radiomics-based carotid perivascular adipose tissue characteristics: a multicenter, multiclassifier study

The combined model performed excellently in predicting symptomatic carotid plaques. By early identification of high-risk patients and selecting appropriate clinical decisions, it holds significant clinical potential for improving stroke prevention.

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Publication Details

Journal
BMC Medical Imaging
Published
2025-08-19
DOI
https://doi.org/10.1186/s12880-025-01876-x
Citations
4
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
5.55

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article

Predicting symptomatic carotid artery plaques with radiomics-based carotid perivascular adipose tissue characteristics: a multicenter, multiclassifier study

Lin Shen, Minjiang Chen, Ting Zhao, Jiansong Ji et al.
4 citations
BMC Medical Imaging
Cardiovascular Disease and Adiposity
5.55
article

Predicting symptomatic carotid artery plaques with radiomics-based carotid perivascular adipose tissue characteristics: a multicenter, multiclassifier study

Lin Shen, Minjiang Chen, Ting Zhao, Jiansong Ji, Shuiwei Xia, Weiqian Chen, Chenying Lu, Yongjun Chen, Jian Wu, Lei Xu, Jing Yang, Guihan Lin, Weiming Hu, Weiyue Chen
article en
4 citations

Abstract

The combined model performed excellently in predicting symptomatic carotid plaques. By early identification of high-risk patients and selecting appropriate clinical decisions, it holds significant clinical potential for improving stroke prevention.

BMC Medical ImagingVol. 25(1)
Wenzhou Medical University (CN), Lishui Central Hospital (CN), Lishui City People's Hospital (CN)
Wenzhou Medical University
Good health and well-being
Openalex Percentile: Top 4%
Cardiovascular Disease and Adiposity
5.55
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