SEP 7, 2026 · JOURNAL ARTICLE
MRI-Based Radiomics and Machine Learning for Predicting Pathological Tumor Invasion and Nodal Status in Rectal Cancer: A Retrospective Study
Applied Sciences
A retrospective single-center study using cross-validation in a small, heterogeneous cohort (152 patients, split by treatment) that reports surrogate endpoints (AUC) rather than clinical outcomes; radiomic findings did not improve on baseline models, limiting clinical utility.
Reported
AUC for pT (clinical-radiological…0.767
AUC for pN (clinical-radiological…0.764
Maximum AUC for pT (radiomic mode…0.770