Radiomic features Based on Multi-sequence MRI Predict Immunohistochemical Biomarkers of Endometrial Cancer

Motivation: A non-invasive, precise, and efficient preoperative evaluation method is crucial for the prognosis of patients with EC. Goal(s): The aim of this study was to construct MRI-based radiomics models to predict immunohistochemical biomarkers and assess the relationship between radiomic features and the Ki-67 proliferation rate in EC. Approach: The receiver operating characteristic (ROC) curves were analyzed to evaluate the performance of the radiomics models. Results: Both single sequence and multi-sequence models demonstrated good diagnostic performance, although the diagnostic performance of multi-sequence models outperformed the single sequence models. Impact: MRI-based radiomic features are promising predictors of immunohistochemistry and prognosis in EC.