Multimodal Deep Learning for Lymph Node Metastasis Prediction and Physician Performance Assessment in T1 Gastric Cancer
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorQun Zhao
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 is to improve early decision-making and support more personalized treatment strategies for patients with early gastric cancer.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
None
Disqualifiers
None
Trial population
Patients diagnosed with T1-stage gastric adenocarcinoma who undergo radical gastrectomy with lymph node dissection at participating centers. Participants must have available preoperative clinical, imaging, and pathological data for AI model input and postoperative histopathological confirmation of lymph node status.
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
Multimodal Artificial Intelligence Diagnostic Model for Lymph Node Metastasis in T1 Gastric Cancer
Diagnostic testThis intervention involves the use of a custom-built artificial intelligence (AI) diagnostic model that integrates multimodal data-including clinical variables, histopathological features, and imaging data-to predict lymph node metastasis in patients with T1-stage gastric cancer. The model provides risk probability scores and classification outputs that assist physicians in diagnostic decision-making. The AI system will be compared with physician performance at different levels of experience (resident, attending, senior) to assess its impact on diagnostic accuracy and clinical decision support.
Treatment groups
No treatment groups listed
Trial outcomes
Primary outcomes
1
Diagnostic Accuracy of the AI Model for Predicting Lymph Node Metastasis in T1 Gastric Cancer
Time frame
Immediately after surgery (within 7 days postoperatively, based on final pathological report)2
Diagnostic Accuracy of the AI Model for Predicting Lymph Node Metastasis in T1 Gastric Cancer
Time frame
At the time of final pathological diagnosis (typically within 3-7 days after surgery)Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Qun Zhao
Lead sponsor
Hebei Medical University
Sponsor institution
Source ClinicalTrials.gov