Delta total tumor volume and radiomics as predictive biomarkers in microsatellite instability-high metastatic colorectal cancer

作者：Jules Dupont, Ségolène JOURNO, Rémy Barbé, Romain Cohen, Paul-Henry Cournède, Littisha Lawrance, Lama Dawi, G. Jardali, Nina BOURDONNEC, Aurélie Choucair, Vincent Goldschmidt, Samy Ammari, Fatine Selhane, Corinne Balleyguier, Baptiste Cervantes, Maximiliano Gelli, Alice Boilève, Michel DUCREUX, Antoine HOLLEBECQUE, Yves MENU, Thierry ANDRÉ, Nathalie LASSAU · 发表于：European Journal of Radiology Artificial Intelligence · 年份：2026 · DOI：10.1016/j.ejrai.2026.100078 · 被引用次数：1 · 研究领域：Radiomics and Machine Learning in Medical Imaging、Genetic factors in colorectal cancer、Cancer Immunotherapy and Biomarkers

Combining delta-radiomics with delta-TTV enhanced performance, improving the RMST ratio from 2.215 to 2.450 (2.248-2.652,p=0.019), the AUC from 0.854 to 0.875 (0.862-0.888, p<0.001), and the C-index from 0.830 to 0.839 (0.819-0.841, p<0.001). Conclusion J o u r n a l P r e -p r o o fDelta-TTV is a robust early predictor of survival in MSI-H mCRC patients treated with immunotherapy.Integrating delta-radiomics further enhances prognostic accuracy and may support early treatment decision-making.