Artificial Intelligence - Assisted Model for Optimal Timing of Surgery in Advanced Ovarian Cancer

An Artificial Intelligence - Assisted Model for Predicting Optimal Timing of Surgery in Advanced Ovarian Cancer: the Combined Study of the SUNNY Trial and the Real World Data

This study integrates data from the randomized controlled SUNNY trial (RCT) and real-world (RWD) data, and employs multimodal data fitting to construct a medical artificial intelligence model to identify the clinical characteristics of patient subgroups suitable for primary debulking surgery (PDS) or interval debulking surgery (IDS), and the cutoff values for selecting different timings of surgery for advanced ovarian cancer.

Inclusion Criteria:

• Age ≥ 18 years
• Patients who were included in the SUNNY study or who were newly diagnosed with stage IIIC or IV primary epithelial ovarian cancer, fallopian tube cancer, or primary peritoneal cancer during the SUNNY study period (2015-2023)
• Underwent primary debulking surgery or interval debulking surgery
• Data avaliable on first-line treatment and follow-up

Exclusion Criteria:

• Non-epithelial ovarian cancer or borderline tumors.
• Low-grade tumors.
• Mucinous ovarian cancer.
• Missing data on first-line treatment and follow-up