Multimodal radiopathologic integration for prognosis and prediction of adjuvant chemotherapy benefit in resectable lung adenocarcinoma: a multicentre study

This study develops a multimodal radiopathomics signature integrating CT and H&E-stained whole-slide images to improve risk stratification in lung adenocarcinoma (LUAD) patients. The signature outperforms unimodal approaches in predicting disease-free survival (DFS) and identifies patients who may benefit from adjuvant chemotherapy. This framework provides a cost-effective, clinically relevant tool for personalized treatment decision-making in LUAD.

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