biostudies-literatureLi Hthe Key Research Project of Sichuan Province57https://www.ebi.ac.uk/biostudies/studies/S-EPMC10899552biostudies-literatureUnknown15(1)<h4>Objective</h4>To investigate whether T2-weighted imaging (T2WI)-based intratumoral and peritumoral radiomics can predict extranodal extension (ENE) and prognosis in patients with resectable rectal cancer.<h4>Methods</h4>One hundred sixty-seven patients with resectable rectal cancer including T3T4N + cases were prospectively included. Radiomics features were extracted from intratumoral, peritumoral 3 mm, and peritumoral-mesorectal fat on T2WI images. Least absolute shrinkage and selection operator regression were used for feature selection. A radiomics signature score (Radscore) was built with logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each Radscore. A clinical-radiomics nomogram was constructed Insights into imagingT2WI-based MRI radiomics for the prediction of preoperative extranodal extension and prognosis in resectable rectal cancer.PMC108995522022YFS0249Li HChai LZhang XPang MHLu TPu HYin LLLi MLiu YSfalseT2WI-based MRI radiomics for the prediction of preoperative extranodal extension and prognosis in resectable rectal cancer.<h4>Objective</h4>To investigate whether T2-weighted imaging (T2WI)-based intratumoral and peritumoral radiomics can predict extranodal extension (ENE) and prognosis in patients with resectable rectal cancer.<h4>Methods</h4>One hundred sixty-seven patients with resectable rectal cancer including T3T4N + cases were prospectively included. Radiomics features were extracted from intratumoral, peritumoral 3 mm, and peritumoral-mesorectal fat on T2WI images. Least absolute shrinkage and selection operator regression were used for feature selection. A radiomics signature score (Radscore) was built with logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each Radscore. A clinical-radiomics nomogram was constructed 2024-01-01T00:00:00Z2024 Feb2026-07-15T02:06:02.422Z2025-04-07T01:03:52.674ZS-EPMC108995523841172210.1186/s13244-024-01625-8