Predicting coronary artery calcified plaques using perivascular fat CT radiomics features and clinical risk factors
Abstract Objective The purpose of this study was to develop a combined radiomics model to predict coronary plaque texture using perivascular fat CT radiomics features combined with clinical risk factors. Methods The data of 200 patients with coronary plaques were retrospectively analyzed and randoml...
Main Authors: | Guo-qing Hu, Ya-qiong Ge, Xiao-kun Hu, Wei Wei |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2022-07-01
|
Series: | BMC Medical Imaging |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12880-022-00858-7 |
Similar Items
-
Initial experience with radiomics of carotid perivascular adipose tissue in identifying symptomatic plaque
by: Ji-Yan Nie, et al.
Published: (2024-02-01) -
The Predictive Value of the Perivascular Adipose Tissue CT Fat Attenuation Index for Coronary In-stent Restenosis
by: Bin Qin, et al.
Published: (2022-04-01) -
CT-Assessment of Epicardial Fat Identifies Increased Inflammation at the Level of the Left Coronary Circulation in Patients with Atrial Fibrillation
by: Renáta Gerculy, et al.
Published: (2024-02-01) -
Pericardial fat volume and coronary risk factors as predictors of non-calcified coronary plaque presence among patients with coronary calcium score = 0
by: Abdulameer A. Al-Mosawi, et al.
Published: (2024-01-01) -
Perivascular fat attenuation index measured by coronary computed tomography angiography as a tool for assessment of ischaemia-causing lesions: a case report
by: Shuichi Okamoto, et al.
Published: (2023-03-01)