Radiomics And Radiogenomics In Ovarian Cancer: A Review With A Focus On Ultrasound Applications

This review discusses the advancements in ultrasound-based radiomics and radiogenomics for ovarian cancer (OC), highlighting their potential to improve diagnostic accuracy, prognostic stratification, and personalized therapeutic strategies. By integrating imaging features with clinical, genomic, or proteomic data, these techniques address the complexity of OC's heterogeneity. Virtual biopsy techniques, like radiomic habitat maps fused with ultrasound, allow for real-time, multi-site sampling to predict prognosis, peritoneal metastasis, and recurrence. Despite these advancements, challenges such as insufficient standardization and limited model interpretability remain. Future efforts should focus on AI-augmented analytical pipelines, multicenter prospective validation, and biomarker discovery to enhance the precision oncology framework in OC management.