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NCT06839157 | NOT YET RECRUITING | Ovarian, Fallopian, and Primary Peritoneal Cancer

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

Shanghai Gynecologic Oncology Group

Brief Summary:

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.

Condition or disease

Ovarian, Fallopian, and Primary Peritoneal Cancer

Artificial Intelligence (AI)

Study Type : OBSERVATIONAL
Estimated Enrollment : 4489 participants
Official Title : 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
Actual Study Start Date : 2027-03
Estimated Primary Completion Date : 2028-03
Estimated Study Completion Date : 2028-03

Information not available for Arms and Intervention/treatment

Ages Eligible for Study: 18 Years
Sexes Eligible for Study: FEMALE
Accepts Healthy Volunteers:
Criteria
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
Artificial Intelligence - Assisted Model for Optimal Timing of Surgery in Advanced Ovarian Cancer

Location Details

NCT06839157

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