A clinical-radiomics model based on MRI sub-regions of gluteus maximus for recurrence prediction in high-grade serous ovarian cancer

The authors aimed to evaluate the predictive value of MRI sub-regional radiomics of the gluteus maximus for recurrence in high-grade serous ovarian cancer (HGSOC) and to compare its performance with conventional radiomics and deep learning models. Their findings indicate that the sub-regional radiomics model outperformed traditional methods, achieving higher predictive accuracy when combined with clinical factors, thus offering a valuable tool for assessing recurrence risk in HGSOC patients post-treatment.