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

Highlight

– Complete gross resection (CGR) is critical for survival in advanced ovarian cancer after neoadjuvant chemotherapy.
– The Memorial Sloan Kettering Cancer Center (MSKCC) CT-based model shows limited accuracy when applied to interval debulking surgery (IDS).
– Incorporating patient age, CA-125 biomarker thresholds, and selected radiologic features improves model prediction of residual disease and surgical complexity.
– Specific CT findings may suggest the need for advanced surgical techniques, but absence of such findings does not exclude the requirement for complex surgery.

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