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AI Prediction of Gastric Cancer Response to Neoadjuvant Chemotherapy

Recruitingn/aAges 18 Years - anyAllChinese Academy of Sciences
NCT06035250 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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.

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📋 Eligibility rules (as published)
Inclusion Criteria: * 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; * CT imaging and biopsy pathology images strictly taken within one month prior to starting neoadjuvant treatment; * Patients possess comprehensive preoperative clinical information and post-operative TRG grading. Exclusion Criteria: * Patients whose CT or pathology images are unclear, making lesion assessment infeasible; * Patients diagnosed with other concurrent tumors.
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What it tests

  • Neoadjuvant Chemotherapy
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Where

22 sites
Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Beijing, China
Peking Union Medical College Hospital
Beijing, China
Peking University Cancer Hospital & Institute
Beijing, China
Peking University People's Hospital
Beijing, China
Xiangya Hospital of Central South University
Changsha, China
Fujian Cancer Hospital
Fuzhou, China
Fujian Medical University Union Hospital
Fuzhou, China
Affiliated Cancer Hospital & Institute of Guangzhou Medical University
Guangzhou, China

…and 14 more on ClinicalTrials.gov.

🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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