Development of MRI-Based Radiomics Model to Predict the Risk of Recurrence in Patients With Advanced High-Grade Serous Ovarian Carcinoma
Hai Ming Li, Jing Gong, Rui Min Li, Ze Bin Xiao, Jinwei Qiang, Wei Peng, Ya Jia Gu
Abstract
The proposed MRI-based radiomics signatures may provide a potential way to develop a prediction model and can help identify patients with advanced HGSOC who have a high risk of recurrence.
Topics & Concepts
MedicineRadiomicsSerous carcinomaOvarian carcinomaSerous fluidInternal medicineOvarian cancerOncologyRadiologyCancerOvarian cancer diagnosis and treatmentRadiomics and Machine Learning in Medical ImagingEndometrial and Cervical Cancer Treatments