Abstract #0181

A Radiogenomics Model for Classifying Molecular Subtypes of Endometrial Cancer: A Two-Center Retrospective Study

Wenyi Yue¹, Ruxue Han², Haijie Wang³, Chen Zhang⁴, Yang Song⁴, Xiaoyun Liang³, He Zhang⁵, Hua Li², and Qi Yang¹

¹Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, ²Department of Gynecology and Obstetrics, Beijing Chaoyang Hospital, CapitalMedical University, Beijing, China, ³Institute of Research and Clinical Innovations, Neusoft Medical Systems Co., Ltd, Beijing, China, ⁴MR Research Collaboration; Siemens Healthineers, Beijing, China, ⁵Department of Radiology,Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China

Synopsis

Keywords: Uterus, Uterus, Radiogenomics

Motivation: To explore genetically based molecular profiling of endometrial cancer (EC) patients to delineate prognostic risk groups.

Goal(s): To demonstrate the potential of radiogenomics for classification of EC molecular subtypes, 254 EC patients with histologically and genetically proven EC from two-center were enrolled.

Approach: A radiomics model based on four sequences was combined with genomics features to form the final diagnosed model.

Results: Our results showed a medium-to-high diagnostic performance to distinguish molecular subtypes with AUC of 0.849 and 0.673 in internal and external test sets, respectively. The radiogenomics model could guide clinicians in administering individual treatments for EC patients.

Impact: Our results demonstrate that the predictive model derived from MRI imaging features holds significant promise in identifying molecular subtypes in endometrial cancer. This model has the potential to guide clinicians in tailoring individualized treatments for EC patients.

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