Clinical Trial

Radiomics-Based AI Model for Predicting Para-Aortic Lymph Node Metastasis in Gastric Cancer Patients

Enrolling by Invitation

Record status

This record was last updated April 27, 2025 (before its estimated June 30, 2025 completion). Its status may not reflect the trial's current state.

Summary

This study aims to develop and validate an artificial intelligence (AI) model based on radiomics features extracted from preoperative CT images to predict para-aortic lymph node (PALN) metastasis in patients with gastric cancer. Accurately identifying PALN metastasis before surgery can help doctors make better treatment decisions, such as whether to proceed with surgery, consider chemotherapy, or use other treatment strategies. The study will prospectively enroll patients who are diagnosed with gastric cancer and scheduled for surgery. All participants will undergo routine imaging tests, and their data will be analyzed using advanced AI techniques. The results of this study may improve the precision of preoperative staging and support personalized treatment planning for gastric cancer patients.

Trial Details

NCT Number	NCT06947096
Lead Sponsor	Qun Zhao Collaborators: First Hospital of Shijiazhuang City, Baoding First Central Hospital, Hengshui People's Hospital
Conditions	Gastric Cancer, Para-Aortic Lymph Node Metastasis, Lymphatic Metastasis, Preoperative Imaging Assessment, Radiomics, Artificial Intelligence
Enrollment	120 participants
Start Date	2025-01-01
Primary Completion	2025-06-30 (estimated)
Study Completion	2025-06-30 (estimated)
Updated on ClinicalTrials.gov	2025-04-27