CNClinicalTrials.govClinical trialRecruiting
Ovarian Cancer Identification on CT Using Deep Learning
Official record
- Identifier
NCT06851429- Recruiting locations
country
Taiwan- Interventions studied
- Not provided in the official record
- Lead sponsor
- Chang Gung Memorial Hospital
- Target enrolment
- 12578 participants
- Study type
- OBSERVATIONAL
- Phase
- Not provided in the official record
- Status
- Recruiting
- First posted
- Feb 28, 2025
- Last updated on the registry
- Aug 12, 2026
- Age
- 20 Years
- Sex
- FEMALE
- Study contact
- The official record lists a study contact. Contact details are published there and are intentionally not copied to this page.
- Eligibility criteria
Reproduced verbatim from the official record. Eligibility is decided by the study team, never by this page.
Inclusion Criteria: 1. Age ≥ 20 years old. 2. Female 3. undergone a CT scan 4. undergone a CT scan within 180 days prior to ovarian surgery for histopathological evaluation. Exclusion Criteria: 1. Age \< 20 years old. 2. Non-female 3. Non-CT imaging 4. Incorrect image orientation 5. Number of slices \< 10 6. Slice thickness \>10 mm or \< 1 mm 7. Unsuccessful DICM-to-NIfTI 8. Pelvic subvolume extraction failed 9. Non-contrast CT scans 10. Metallic artifacts 11. Inconclusive cases
- Indexed under
- Ovarian Cancer