Radiomics based on readout-segmented echo-planar imaging (RS-EPI) diffusion-weighted imaging (DWI) for prognostic risk stratification of patients with rectal cancer: a two-centre, machine learning study using the framework of predictive, preventive, and personalized medicine.

"Declarations Ethics approvalThe study was approved by the ethics committee of Fudan University Shanghai Cancer Center (2001213–47-NSFC) and Chang Hai Hospital of Second Military Medical University (CHEC2022-006), and all measures of the study were in accordance with the Declaration of Helsinki guidelines. Consent to participateThe informed consent requirement was waived by virtue of this study’s retrospective design. Consent for publicationAll authors had accepted responsibility to submit for publication. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."

"Funding This study was supported by Grants 82271957, 81971687, 82001776 from the National Natural Science Foundation of China and Grant 20ZR1412700 from the Natural Science Foundation of Shanghai (Shanghai Natural Science Foundation)."