Article
Integrated radiomics and machine learning approach for ras mutation status prediction in colorectal liver metastases.
La Radiologia medica - 1 Jan 2026
Granata Vincenza, Fusco Roberta, Setola Sergio Venanzio, De Muzio Federica, Brunese Maria Chiara, Avallone Antonio, Ottaiano Alessandro, Belli Andrea, Izzo Francesco, Petrillo Antonella
Abstract excerpt
BACKGROUND: RAS mutational status is a critical prognostic biomarker in colorectal liver metastases (CRLM), traditionally assessed via tissue biopsy. This study evaluates the potential of radiomic features extracted from CT and MRI to non-invasively predict RAS mutations using machine learning algorithms. METHODS: In this study, 77 CRLM metastases (mean size 34.9; range 17-56 mm) with known RAS mutational status...
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