Evaluating CT-Based Models to Predict Residual Disease and Surgical Extent in Interval Debulking Surgery for Ovarian Cancer

Evaluating CT-Based Models to Predict Residual Disease and Surgical Extent in Interval Debulking Surgery for Ovarian Cancer

This study assesses the predictive accuracy of the MSKCC CT-based model for residual disease after neoadjuvant chemotherapy in advanced ovarian cancer, showing limited discrimination that improves with optimized clinical parameters. CT findings guide surgical planning but cannot exclude complex procedures.