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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...

Celý popis

Uloženo v:
Hlavní autoři: Jia Fu, Mengjie Fang, Zhiyong Lin, Jianxing Qiu, Min Yang, Jie Tian, Di Dong, Yinghua Zou
Médium: Artigo
Jazyk:Inglês
Vydáno: SpringerOpen 2024-01-01
Edice:Visual Computing for Industry, Biomedicine, and Art
Témata:
Atherosclerotic renal artery stenosis
Percutaneous transluminal renal angioplasty
Computed tomography
Radiomics
Deep learning
Explainability
On-line přístup:https://doi.org/10.1186/s42492-023-00152-5
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