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Article

Machine learning models using 18F-FDG PET/CT radiomics for RAS mutation prediction and prognostic stratification in colorectal cancer.

The British journal of radiology - 1 Sept 2026

Nakajo Masatoyo, Hirahara Daisuke, Baba Kenji, Hirahara Mitsuho, Eizuru Yukari, Tani Atsushi, Takumi Koji, Kamimura Kiyohisa, Kanzaki Fumiko, Ohtsuka Takao, Yoshiura Takashi

Abstract excerpt

OBJECTIVE: To evaluate a machine learning (ML) model that integrates clinical data and 2-deoxy-2-[18F]fluoro-D-glucose (18F-FDG)-PET radiomic features for predicting RAS mutation status and prognosis in patients with colorectal cancer (CRC). METHODS: This retrospective study included 90 patients (mean age, 64 years, 60 men) with CRC who underwent pretreatment 18F-FDG-PET/CT. Radiomic features were extracted from...

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PMID: 42397208
DOI: 10.1093/bjr/tqag129

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