Non-invasive liver fibrosis screening on CT images using radiomics

Abstract Purpose To develop a radiomics machine learning model for detecting liver fibrosis on CT images of the liver. Methods With Ethics Board approval, 169 patients (68 women, 101 men; mean age, 51.2 years ± 14.7 [SD]) underwent an ultrasound-guided liver biopsy with simultaneous CT acquisitions...

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Bibliographic Details
Main Authors: Jay J. Yoo, Khashayar Namdar, Sean Carey, Sandra E. Fischer, Chris McIntosh, Farzad Khalvati, Patrik Rogalla
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Imaging
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Online Access:https://doi.org/10.1186/s12880-025-01823-w
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