Clinical Trial

AI Prediction of Gastric Cancer Response to Neoadjuvant Chemotherapy

Recruiting
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Record status
This record was last updated September 28, 2023 (before its estimated August 31, 2024 completion). Its status may not reflect the trial's current state.
Summary
This study seeks to develop a deep-learning-based intelligent predictive model for the efficacy of neoadjuvant chemotherapy in gastric cancer patients. By utilizing the patients' CT imaging data, biopsy pathology images, and clinical information, the intelligent model will predict the post-neoadjuvant chemotherapy efficacy and prognosis, offering assistance in personalized treatment decisions for gastric cancer patients.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2023-09-06.
Status change: Not Yet Recruiting → Recruiting 2023-09-26
Trial Details
NCT Number NCT06035250
Lead Sponsor Chinese Academy of Sciences
Collaborators: Peking University Cancer Hospital & Institute, Cancer Institute and Hospital, Chinese Academy of Medical Sciences, Yunnan Cancer Hospital, Henan Cancer Hospital, Zhenjiang First People's Hospital, First Hospital of China Medical University, Cancer Hospital of Guangxi Medical University, Peking University People's Hospital, Tianjin Medical University Cancer Institute and Hospital, The First Affiliated Hospital of Zhengzhou University, Nanfang Hospital, Southern Medical University, The Affiliated Hospital of Qingdao University, Ruijin Hospital, Sixth Affiliated Hospital, Sun Yat-sen University, Peking Union Medical College Hospital, Xiangya Hospital of Central South University, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, The First Affiliated Hospital of Soochow University, First Affiliated Hospital, Sun Yat-Sen University, Fujian Medical University Union Hospital, Fujian Cancer Hospital, San Raffaele University Hospital, Italy
Conditions Gastric Cancer, Image, Pathology
Enrollment 200 participants
Start Date 2023-09-10
Primary Completion 2024-08-31 (estimated)
Study Completion 2029-12-31 (estimated)
Updated on ClinicalTrials.gov 2023-09-28