Prediction of Peritoneal Metastasis for Gastric Cancer Based on Radiomics: a Multi-center Prospective Study
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 400
- 试验地点
- 13
- 主要终点
- The aera under the receiver operating characteristic curve (AUC) of intelligent analysis system
研究概览
简要总结
Peritoneal metastasis of gastric cancer is difficult to be detected in time, thus delaying treatment. Based on the conventional CT images of gastric cancer, this study plans to develop, improve and validate an intelligent analysis system based on radiomics. By extracting and combining the radiomics features related to peritoneal metastasis of gastric cancer, the intelligent analysis system could predict the risk of peritoneal metastasis, and provide personalized decision suggestions for the treatment of gastric cancer.
详细描述
Peritoneal metastasis of gastric cancer is difficult to be detected in time, thus delaying treatment. Based on the conventional CT images of gastric cancer, this study plans to develop, improve and validate an intelligent analysis system based on radiomics. By extracting and combining the radiomics features related to peritoneal metastasis of gastric cancer, the intelligent analysis system could predict the risk of peritoneal metastasis, and provide personalized decision suggestions for the treatment of gastric cancer.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •(1) diagnosed advanced gastric cancer (≥cT3) by endoscopy-biopsy pathology, combined with CT and/or endoscopic ultrasound;
- •(2) with both enhanced CT and laparoscopy;
- •(3) without typical peritoneal metastasis indications in CT (diffuse omental nodules or omental cake, large amount of ascites, obvious irregular thickening with high peritoneal enhancement);
- •(4) without other evidence of distant metastasis, and no stage IV features on CT.
排除标准
- •(1) previous abdominal surgery;
- •(2) previous abdominal malignancies or inflammatory diseases;
- •(3) time intervals between CT and laparoscopy longer than 2 weeks;
- •(4) CT image artifacts that undermine peritoneal lesion assessment.
结局指标
主要结局
The aera under the receiver operating characteristic curve (AUC) of intelligent analysis system
时间窗: three months
AUC of the intelligent analysis system in predicting peritoneal metastasis for gastric cancer.
次要结局
- The accuray of intelligent analysis system in predicting peritoneal metastasis(three months)
研究者
Di Dong
Professor
Chinese Academy of Sciences