Deep Learning Magnetic Resonance Imaging Radiomic Predict Platinum-sensitive in Patients With Epithelial Ovarian Cancer
- Conditions
- Predictive Cancer Model
- Interventions
- Other: Radiomic Algorithm
- Registration Number
- NCT04511481
- 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
Not available
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- Female
- Target Recruitment
- 93
- (1)Patients with epithelial ovarian cancer (2 )Patients received platinum-based chemotherapy (>= 4 cycles) and debulking surgery
- Patients with epithelial ovarian cancer received less than 4 cycles platinum-based chemotherapy or no debulking surgery
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description platinum-resistant group Radiomic Algorithm - platinum-sensitive group Radiomic Algorithm -
- Primary Outcome Measures
Name Time Method Platinum sensitivity 9 years Platinum sensitivity
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Sun Yat-Sen Memorial Hospital of Sun Yat-sen University
🇨🇳Guangzhou, Guangdong, China