Spots Global Cancer Trial Database for Deep Learning Magnetic Resonance Imaging Radiomic Predict Platinum-sensitive in Patients With Epithelial Ovarian Cancer
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Trial Identification
Brief Title: Deep Learning Magnetic Resonance Imaging Radiomic Predict Platinum-sensitive in Patients With Epithelial Ovarian Cancer
Official Title: Deep Learning Magnetic Resonance Imaging Radiomic Predict Platinum-sensitive in Patients With Epithelial Ovarian Cancer
Study ID: NCT04511481
Conditions
Interventions
Study Description
Brief 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.
Detailed Description:
Keywords
Eligibility
Minimum Age: 22 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: FEMALE
Healthy Volunteers: No
Locations
Sun Yat-Sen Memorial Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
Contact Details
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