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NCT04511481
Deep Learning Magnetic Resonance Imaging Radiomic Predict Platinum-sensitive in Patients With Epithelial Ovarian Cancer
trial testing Radiomic Algorithm in Predictive Cancer Model in 93 participants. Status unknown.
3 August 2020
Quick facts
| Lead sponsor | Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University |
|---|---|
| Status | Status unknown |
| Study type | OBSERVATIONAL |
| Enrollment | 93 |
| Start date | 15 April 2020 |
| Primary completion | 3 August 2020 |
| Estimated completion | 1 January 2021 |
| Sites | 1 location across China |
Drugs / interventions tested
- Radiomic Algorithm
Conditions studied
- Predictive Cancer Model — all drugs for Predictive Cancer Model →
Sponsor
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Who can join
Adults 22 to 99, female only, with Predictive Cancer Model. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Platinum-sensitive is an important basis for the treatment of recurrent epithelial ovarian cancer (EOC) without effective methods to predict.We aimed to develop and validate the EOC deep learning system to predict the platinum-sensitive of EOC patients through analysis of enhanced magnetic resonance imaging (MRI) images before initial treatment.Ninety-three EOC patients received platinum-based chemotherapy (\>= 4 cycles) and debulking surgery from Sun Yat-sen Memorial Hospitalin China from January 2011 to January 2020 were enrolled. This deep-learning EOC signature achieved a high predictive power for platinum-sensitive, and the signature based on MRI whole volume is better than that on primary tumor area only.
Publications & conference data
1 peer-reviewed publication reference this trial (live from Europe PMC):
-
Deep learning magnetic resonance imaging predicts platinum sensitivity in patients with epithelial ovarian cancer.
Lei R, Yu Y, Li Q, Yao Q, et al · · 2022 · cited 9× · PMID 36505880 · DOI 10.3389/fonc.2022.895177
Verify or expand the search:
- PubMed search for NCT04511481
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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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 NCT04511481 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
- Last refreshed: 13 August 2020
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