3D spectral CT-based fusion model predicts prognosis and postoperative adjuvant chemotherapy benefit in locally advanced rectal cancer.

ABSTRACT: Early identification of high-risk recurrence patients is crucial as it can provide information for treatment decisions, achieve personalized treatment, and maximize the benefits for locally advanced rectal cancer (LARC). The goal of this study was to explore the impact of ROI selection on the repeatability of spectral detector CT (SDCT) imaging biomarkers and to investigate and visualize an interpretable multidimensional radiological-angiogenesis-clinicopathological integrated model (RACIM) for predicting disease-free survival (DFS) in LARC. 204 LARC patients who underwent SDCT scanning prior to any anticancer treatment were retrospectively included. Two observers independently measured the iodine concentrations and normalized iodine concentration (NIC) at venous/delayed phases (VP/DP) usi

SUBMITTER: Fan S 

PROVIDER: S-EPMC12328823 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature