Deep Learning Magnetic Resonance Imaging Radiomic Predict Platinum-sensitive in Patients With Epithelial Ovarian Cancer - Trial NCT04511481
Access comprehensive clinical trial information for NCT04511481 through Pure Global AI's free database. This phase not specified trial is sponsored by Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University and is currently Recruiting. The study focuses on Predictive Cancer Model. Target enrollment is 93 participants.
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Study Focus
Sponsor & Location
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Timeline & Enrollment
N/A
Apr 15, 2020
Jan 01, 2021
Primary Outcome
Platinum sensitivity
Summary
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.
ICD-10 Classifications
Data Source
ClinicalTrials.gov
NCT04511481
Non-Device Trial