Patient-level CAD-RADS scoring from coronary radiomic features

Abstract Synthesizing coronary radiomic data to obtain a single patient-wise Coronary Artery Disease-Reporting and Data System (CAD-RADS) score remains challenging. This work proposes four strategies for summarizing radiomic features extracted from 2779 multiplanar reconstruction images derived from...

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主要な著者:	Anna Corti, Francesca Lo Iacono, Francesca Ronchetti, Mattia Chiesa, Gianluca Pontone, Gualtiero I. Colombo, Valentina D. A. Corino
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2026-01-01
シリーズ:	Scientific Reports
主題:	Coronary artery disease (CAD) Stenosis Coronary computed tomography angiography (CCTA) Radiomics CAD-RADS Machine learning
オンライン･アクセス:	https://doi.org/10.1038/s41598-025-32352-9
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