Deep Learning Magnetic Resonance Imaging Radiomic Predict Platinum-sensitive in Patients With Epithelial Ovarian Cancer
试验速览
- 阶段
- 不适用
- 入组人数
- 93
- 试验地点
- 1
- 主要终点
- Platinum sensitivity
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 22 Years 至 99 Years(Adult, Older Adult)
- 性别
- Female
- 接受健康志愿者
- 否
入选标准
- •(1)Patients with epithelial ovarian cancer (2 )Patients received platinum-based chemotherapy (>= 4 cycles) and debulking surgery
排除标准
- •Patients with epithelial ovarian cancer received less than 4 cycles platinum-based chemotherapy or no debulking surgery
结局指标
主要结局
Platinum sensitivity
时间窗: 9 years
Platinum sensitivity
次要结局
未报告次要终点
研究者
Herui Yao
Principal Investigator
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
