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

NCT06839157 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1025

Last updated 2026-02-25

No results posted yet for this study

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.

Conditions

  • Ovarian, Fallopian, and Primary Peritoneal Cancer
  • Artificial Intelligence (AI)

Sponsors & Collaborators

  • Shanghai Zhongshan Hospital

    collaborator OTHER

  • Sun Yat-sen University Cancer Centre

    collaborator UNKNOWN

  • Fudan University

    collaborator OTHER

  • Zhejiang Cancer Hospital

    collaborator OTHER

  • Shanghai Gynecologic Oncology Group

    lead OTHER_GOV

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2016-08-22
Primary Completion
2027-06-30
Completion
2027-06-30

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06839157 on ClinicalTrials.gov