- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06839157
Artificial Intelligence - Assisted Model for Optimal Timing of Surgery in Advanced Ovarian Cancer
February 23, 2026 updated by: Shanghai Gynecologic Oncology Group
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.
Study Overview
Status
Active, not recruiting
Study Type
Observational
Enrollment (Estimated)
1025
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
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)
Description
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
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
|
Cohort 1- SUNNY RCT Trial
489 patients who were enrolled and randomized in the SUNNY RCT trials.
|
|
Cohort 2- Pragmatic Trial
536 patients who were newly diagnosed as stage IIIC or IV primary epithelial ovarian cancer, fallopian tube cancer, or primary peritoneal cancer between 2021 and 2025
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
The accuracy of predicting the 3-year overall survival (OS) difference between primary debulking surgery (PDS) and interval debulking surgery (IDS).
Time Frame: 3 years
|
3 years
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
August 22, 2016
Primary Completion (Estimated)
June 1, 2027
Study Completion (Estimated)
June 1, 2027
Study Registration Dates
First Submitted
February 18, 2025
First Submitted That Met QC Criteria
February 18, 2025
First Posted (Actual)
February 21, 2025
Study Record Updates
Last Update Posted (Actual)
February 25, 2026
Last Update Submitted That Met QC Criteria
February 23, 2026
Last Verified
February 1, 2025
More Information
Terms related to this study
Other Study ID Numbers
- SUNNY-AI
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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