AI Prediction of Gastric Cancer Response to Neoadjuvant Chemotherapy
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorChinese Academy of Sciences
About this trial
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.
Eligibility criteria
Qualifiers
Age 18 years or older;
Pathologically diagnosed with advanced gastric cancer in accordance with the American AJCC's TNM staging standards;
Have not undergone any systematic anti-cancer treatments before neoadjuvant chemotherapy and have not had surgery for local progression or distant metastasis;
Received standard neoadjuvant chemotherapy as recommended by the clinical guidelines, and have documented treatment details;
Disqualifiers
Patients whose CT or pathology images are unclear, making lesion assessment infeasible;
Patients diagnosed with other concurrent tumors.
Trial design
Treatments tested in this trial
- Neoadjuvant Chemotherapy
Treatment groups
200 Participants
are divided into 1 treatment groupSponsors and collaborators
Chinese Academy of Sciences
Lead sponsor
Institute of Automation, Chinese Academy of Sciences
Sponsor institution
Peking University Cancer Hospital & Institute
Collaborator
Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Collaborator
Yunnan Cancer Hospital
Collaborator
Henan Cancer Hospital
Collaborator
Zhenjiang First People's Hospital
Collaborator
First Hospital of China Medical University
Collaborator
Cancer Hospital of Guangxi Medical University
Collaborator
Peking University People's Hospital
Collaborator
Tianjin Medical University Cancer Institute and Hospital
Collaborator
The First Affiliated Hospital of Zhengzhou University
Collaborator
Nanfang Hospital, Southern Medical University
Collaborator
The Affiliated Hospital of Qingdao University
Collaborator
Ruijin Hospital
Collaborator
Sixth Affiliated Hospital, Sun Yat-sen University
Collaborator
Peking Union Medical College Hospital
Collaborator
Xiangya Hospital of Central South University
Collaborator
Affiliated Cancer Hospital & Institute of Guangzhou Medical University
Collaborator
The First Affiliated Hospital of Soochow University
Collaborator
First Affiliated Hospital, Sun Yat-Sen University
Collaborator
Fujian Medical University Union Hospital
Collaborator
Fujian Cancer Hospital
Collaborator
San Raffaele University Hospital, Italy
Collaborator
Source ClinicalTrials.gov