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

Launched by QUN ZHAO · Aug 14, 2025

Keywords

ClinConnect Summary

This clinical trial is studying a new computer program that uses artificial intelligence (AI) to help doctors predict whether early-stage stomach cancer (called T1 gastric cancer) has spread to nearby lymph nodes. The AI looks at information from medical tests, images, and tissue samples to make this prediction. The study also wants to see if doctors can make better decisions when they use the AI tool compared to when they rely on their own judgment alone.

Adults aged 18 and older who have been diagnosed with early-stage stomach cancer and are scheduled for surgery to remove the cancer and nearby lymph nodes may be able to join. Participants will need to have certain medical tests done before surgery, including imaging scans and tissue samples, and provide consent to take part. The trial is designed to help improve early treatment decisions and tailor care to each patient’s needs by combining human expertise with advanced technology.

Gender

ALL

Eligibility criteria

• 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