Multimodal Deep Learning for Lymph Node Metastasis Prediction and Physician Performance Assessment in T1 Gastric Cancer
Recruiting
Observational Study
T1 Gastric Cancer Lymph Node Metastasis Early Gastric Cancer Artificial Intelligence-Assisted Diagnosis Multimodal Data Integration
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Age
- 18 and older
- Sex
- Any
- Study type
- Observational
- Participants needed
- 300 (estimated)
- Sponsor
- Qun Zhao · Other
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About This Trial
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 …
Trial Locations
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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 patholog…
Contacts
No contact information available.