Artificial Intelligence-Based Prediction of Lymph Node Metastasis and Nodal Station Involvement in Gastric Cancer Using Preoperative Multimodal Imaging and Pathology Data
试验速览
- 阶段
- 不适用
- 状态
- Enrolling By Invitation
- 发起方
- 入组人数
- 1,200
- 试验地点
- 1
- 主要终点
- Diagnostic Accuracy of the AI Model in Predicting Presence of Lymph Node Metastasis in Gastric Cancer
研究概览
简要总结
This study aims to develop and validate an artificial intelligence (AI) system that can predict whether lymph node metastasis has occurred in patients with gastric cancer before surgery. Using preoperative imaging and pathology data, the AI models will not only predict if metastasis is present but also identify which specific lymph node stations or individual lymph nodes are involved. All lymph nodes will be carefully removed during surgery and examined one by one with detailed pathological methods to ensure accurate diagnosis. The goal is to improve the accuracy of lymph node assessment and assist doctors in making better treatment decisions.
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 80 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Age 18 years or older
- •Histologically confirmed gastric adenocarcinoma
- •Scheduled for curative-intent gastrectomy with lymphadenectomy
- •Completed preoperative imaging with contrast-enhanced CT or MRI
- •Available preoperative biopsy pathology report
- •Able and willing to provide written informed consent
排除标准
- •Evidence of distant metastasis on preoperative imaging
- •Prior chemotherapy, radiotherapy, or major abdominal surgery
- •Severe comorbidities contraindicating surgery
- •Incomplete or poor-quality preoperative imaging or pathology data
- •Pregnancy or lactation
结局指标
主要结局
Diagnostic Accuracy of the AI Model in Predicting Presence of Lymph Node Metastasis in Gastric Cancer
时间窗: From Preoperative Evaluation to Completion of Postoperative Pathological Analysis (Approximately 4-6 Weeks)
次要结局
未报告次要终点
研究者
Qun Zhao
Professor
Hebei Medical University