Multimodal Deep Learning for Lymph Node Metastasis Prediction and Physician Performance Assessment in T1 Gastric Cancer
- Conditions
- T1 Gastric Cancer Lymph Node Metastasis Early Gastric Cancer Artificial Intelligence-Assisted Diagnosis Multimodal Data Integration
- Registration Number
- NCT07124754
- Lead Sponsor
- Qun Zhao
- Brief Summary
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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 300
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
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
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Diagnostic Accuracy of the AI Model for Predicting Lymph Node Metastasis in T1 Gastric Cancer At the time of final pathological diagnosis (typically within 3-7 days after surgery)
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
the Fourth Hospital of Hebei Medical University
🇨🇳Shijiazhuang, None Selected, China
the Fourth Hospital of Hebei Medical University🇨🇳Shijiazhuang, None Selected, ChinaPing'an DingContact031186095363ding_ping_an@hebmu.edu.cn