[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100605740":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":7,"centralContacts":12,"locations":18,"responsibleParty":34,"collaborators":7,"id":36,"slug":37,"hasResults":38,"nctId":39,"briefTitle":40,"officialTitle":40,"acronym":7,"eligibilityCriteria":41,"healthyVolunteers":42,"sex":43,"minAge":44,"maxAge":45,"enrollmentInfo":46,"targetDuration":7,"studyType":49,"phases":7,"briefSummary":50,"conditions":51,"keywords":7,"overallStatus":21,"whyStopped":7,"lastUpdateSubmitDate":56,"lastUpdatePostDateStruct":57,"startDateStruct":60,"completionDateStruct":62,"leadSponsor":64,"locationsCount":65},{"fullName":5,"class":6},"Peking University First Hospital","OTHER",null,[9],{"type":6,"name":10,"description":11,"armGroupLabels":7,"otherNames":7},"None intervention","this study is retrospective based on the CT images, which dose include any intervention.",[13],{"name":14,"role":15,"phone":16,"phoneExt":7,"email":17},"Zejin Ou","CONTACT","159 1494 4390","2411210230@bjmu.edu.cn",[19],{"facility":20,"status":21,"city":22,"state":7,"zip":7,"country":23,"countryCode":24,"cosmosGeoPoint":25,"geoPoint":30,"contacts":31},"Peking University First Hospital, Beijing,","RECRUITING","Beijing","China","CN",{"type":26,"coordinates":27},"Point",[28,29],116.39723,39.9075,{"lat":29,"lon":28},[32],{"name":33,"role":15,"phone":7,"phoneExt":7,"email":17},"Peking University First Hospital Peking University First Hospital",{"type":35,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR","100605740","deep-learning-for-automated-discrimination-between-stage-t1-t2-and-t3-renal-cell-carcinoma-on-contrast-enhanced-ct-100605740",false,"NCT07166445","Deep Learning for Automated Discrimination Between Stage T1-T2 and T3 Renal Cell Carcinoma on Contrast-Enhanced CT","Inclusion Criteria:\n\n1. Histopathologically confirmed renal cell carcinoma on postoperative specimen.\n2. Preoperative contrast-enhanced CT performed at our institution with slice thickness ≤ 1 mm and complete DICOM datasets.\n3. Postoperative pathologic staging clearly defined as pT1a-T2b or pT3a.\n4. CT image quality deemed adequate for analysis.\n\nExclusion Criteria:\n\n* 1\\. Pathologic subtype other than RCC. 2. Images with severe artifacts.",true,"ALL","18 Years","85 Years",{"count":47,"type":48},1000,"ESTIMATED","OBSERVATIONAL","This study aims to develop and validate a contrast-enhanced CT-based deep-learning model for automatic and accurate preoperative discrimination between T1-T2 and T3 renal cell carcinoma. By quantifying the model's diagnostic performance on an independent test set-using AUC, sensitivity, specificity, positive\u002Fnegative predictive values, and decision-curve analysis-we will establish a decision-support tool that can be seamlessly integrated into clinical PACS, thereby reducing staging errors, refining surgical planning, and improving patient outcomes.",[52,53,54,55],"Carcinoma, Renal Cell","Diagnostic Imaging","Pathology","Deep Learning","2025-09-03",{"date":58,"type":59},"2025-09-10","ACTUAL",{"date":61,"type":59},"2024-09-01",{"date":63,"type":48},"2027-12-01",{"name":5,"class":6},1]