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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Bibliografische Detailangaben

Hauptverfasser:	Jia Fu, Mengjie Fang, Zhiyong Lin, Jianxing Qiu, Min Yang, Jie Tian, Di Dong, Yinghua Zou
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	SpringerOpen 2024-01-01
Schriftenreihe:	Visual Computing for Industry, Biomedicine, and Art
Schlagworte:	Atherosclerotic renal artery stenosis Percutaneous transluminal renal angioplasty Computed tomography Radiomics Deep learning Explainability
Online-Zugang:	https://doi.org/10.1186/s42492-023-00152-5
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