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Multimodal Deep Learning for Lymph Node Metastasis Prediction and Physician Performance Assessment in T1 Gastric Cancer

Recruitingn/aAges 18 Years - anyAllQun Zhao
NCT07124754 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

This study aims to develop and validate an artificial intelligence (AI) model that integrates clinical, pathological, and imaging data to predict the presence of lymph node metastasis (LNM) in patients with T1-stage gastric cancer. The study will also compare the diagnostic performance of physicians with and without AI assistance, including clinicians with varying levels of experience. The goal is to improve early decision-making and support more personalized treatment strategies for patients with early gastric cancer.

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📋 Eligibility rules (as published)
Inclusion Criteria: Age 18 years or older Histologically confirmed primary gastric adenocarcinoma Clinical stage T1 (T1a or T1b) confirmed by endoscopy and imaging Undergoing radical gastrectomy with lymph node dissection Preoperative data available: clinical variables, CT imaging, and pathology slides Written informed consent provided Exclusion Criteria: History of other malignancies within the past 5 years Received neoadjuvant chemotherapy or radiotherapy Incomplete clinical or pathological data Poor quality or missing CT or histopathology images Patients with distant metastasis (M1) at diagnosis Inability or refusal to provide informed consent
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What it tests

  • Multimodal Artificial Intelligence Diagnostic Model for Lymph Node Metastasis in T1 Gastric Cancer
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Where

1 site
the Fourth Hospital of Hebei Medical University
Shijiazhuang, China
🤝 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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