Development and Validation of a Multimodal Artificial Intelligence Model for Predicting Lymph Node Metastasis in T1 Gastric Cancer and Its Impact on Physician Diagnostic Performance

Status: Recruiting
Location: See location...
Intervention Type: Diagnostic test
Study Type: Observational
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.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
View:

• 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

Locations
Other Locations
China
the Fourth Hospital of Hebei Medical University
RECRUITING
Shijiazhuang
Time Frame
Start Date: 2025-01-01
Estimated Completion Date: 2025-12-30
Participants
Target number of participants: 300
Related Therapeutic Areas
Sponsors
Leads: Qun Zhao

This content was sourced from clinicaltrials.gov