[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100602533":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":7,"centralContacts":7,"locations":13,"responsibleParty":34,"collaborators":7,"id":38,"slug":39,"hasResults":40,"nctId":41,"briefTitle":42,"officialTitle":43,"acronym":7,"eligibilityCriteria":44,"healthyVolunteers":40,"sex":45,"minAge":46,"maxAge":7,"enrollmentInfo":47,"targetDuration":50,"studyType":51,"phases":7,"briefSummary":52,"conditions":53,"keywords":55,"overallStatus":16,"whyStopped":7,"lastUpdateSubmitDate":56,"lastUpdatePostDateStruct":57,"startDateStruct":60,"completionDateStruct":62,"leadSponsor":64,"locationsCount":65},{"fullName":5,"class":6},"Hebei Medical University","OTHER",null,[9],{"type":10,"name":11,"description":12,"armGroupLabels":7,"otherNames":7},"DIAGNOSTIC_TEST","Multimodal Artificial Intelligence Diagnostic Model for Lymph Node Metastasis in T1 Gastric Cancer","This 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.\n\nThe model provides risk probability scores and classification outputs that assist physicians in diagnostic decision-making.\n\nThe 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.",[14],{"facility":15,"status":16,"city":17,"state":18,"zip":19,"country":20,"countryCode":21,"cosmosGeoPoint":22,"geoPoint":27,"contacts":28},"the Fourth Hospital of Hebei Medical University","RECRUITING","Shijiazhuang","None Selected","050011","China","CN",{"type":23,"coordinates":24},"Point",[25,26],114.47861,38.04139,{"lat":26,"lon":25},[29],{"name":30,"role":31,"phone":32,"phoneExt":7,"email":33},"Ping'an Ding","CONTACT","031186095363","ding_ping_an@hebmu.edu.cn",{"type":35,"investigatorFullName":36,"investigatorTitle":37,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"SPONSOR_INVESTIGATOR","Qun Zhao","Professor","100602533","multimodal-deep-learning-for-lymph-node-metastasis-prediction-and-physician-performance-assessment-in-t1-gastric-cancer-100602533",false,"NCT07124754","Multimodal Deep Learning for Lymph Node Metastasis Prediction and Physician Performance Assessment in T1 Gastric Cancer","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","Inclusion Criteria:\n\nAge 18 years or older\n\nHistologically confirmed primary gastric adenocarcinoma\n\nClinical stage T1 (T1a or T1b) confirmed by endoscopy and imaging\n\nUndergoing radical gastrectomy with lymph node dissection\n\nPreoperative data available: clinical variables, CT imaging, and pathology slides\n\nWritten informed consent provided\n\nExclusion Criteria:\n\nHistory of other malignancies within the past 5 years\n\nReceived neoadjuvant chemotherapy or radiotherapy\n\nIncomplete clinical or pathological data\n\nPoor quality or missing CT or histopathology images\n\nPatients with distant metastasis (M1) at diagnosis\n\nInability or refusal to provide informed consent","ALL","18 Years",{"count":48,"type":49},300,"ESTIMATED","36 Months","OBSERVATIONAL","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.\n\nThe study will also compare the diagnostic performance of physicians with and without AI assistance, including clinicians with varying levels of experience.\n\nThe goal is to improve early decision-making and support more personalized treatment strategies for patients with early gastric cancer.",[54],"T1 Gastric Cancer Lymph Node Metastasis Early Gastric Cancer Artificial Intelligence-Assisted Diagnosis Multimodal Data Integration",[54],"2025-08-14",{"date":58,"type":59},"2025-08-15","ACTUAL",{"date":61,"type":59},"2025-01-01",{"date":63,"type":49},"2025-12-30",{"name":36,"class":6},1]