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NCT06851429
Ovarian Cancer Identification on CT Using Deep Learning
trial in Ovarian Cancer in 12,578 participants. Participants enrolled and being followed up; not accepting new ones.
7 February 2025
Quick facts
| Lead sponsor | Chang Gung Memorial Hospital |
|---|---|
| Status | Active, enrolled |
| Study type | OBSERVATIONAL |
| Enrollment | 12,578 |
| Start date | 1 September 2022 |
| Primary completion | 7 February 2025 |
| Estimated completion | 28 February 2025 |
| Sites | 1 location across Taiwan |
Conditions studied
- Ovarian Cancer — all drugs for Ovarian Cancer →
Sponsor
Chang Gung Memorial Hospital
Who can join
20 and older, female only, with Ovarian Cancer. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Ovarian cancer remains the deadliest gynecologic malignancy, with poor survival rates largely due to late-stage diagnosis. Early detection is crucial, yet no universally accepted screening method exists. Current imaging techniques and biomarkers, such as CA-125, have limitations in specificity and sensitivity. This study aims to develop and evaluate a deep learning-based computer-aided diagnosis tool (CAT-OV), for ovarian cancer detection using CT imaging. The system integrates a Body Part Regression (BPR) model for pelvic localization and a Multiple Instance Learning (MIL) ensemble classifier for cancer prediction. The model was trained and validated using retrospective datasets from Taiwan, the United States, and a nationwide real-world cohort. Stringent preprocessing and quality control measures were implemented to enhance model accuracy. Results highlight the potential of AI-driven CT screening in improving early detection, though further validation is needed for clinical adoption.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT06851429
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
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Related trials
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Other Chang Gung Memorial Hospital trials
Trials by the same sponsor.
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06851429 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Chang Gung Memorial Hospital
- Last refreshed: 28 February 2025
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06851429.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing