CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosis

CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosis

Abstract This study aimed to comprehensively evaluate non-contrast computed tomography (CT)-based radiomics for predicting early outcomes in patients with severe atherosclerotic renal artery stenosis (ARAS) after percutaneous transluminal renal angioplasty (PTRA). A total of 52 patients were retrosp...

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Bibliographic Details
Main Authors: Jia Fu, Mengjie Fang, Zhiyong Lin, Jianxing Qiu, Min Yang, Jie Tian, Di Dong, Yinghua Zou
Format: Article
Language:English
Published: SpringerOpen 2024-01-01
Series:Visual Computing for Industry, Biomedicine, and Art
Subjects:
Atherosclerotic renal artery stenosis
Percutaneous transluminal renal angioplasty
Computed tomography
Radiomics
Deep learning
Explainability
Online Access:https://doi.org/10.1186/s42492-023-00152-5

Internet

https://doi.org/10.1186/s42492-023-00152-5

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