[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100522862":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":10,"locations":13,"responsibleParty":33,"collaborators":10,"id":37,"slug":38,"hasResults":39,"nctId":40,"briefTitle":41,"officialTitle":42,"acronym":10,"eligibilityCriteria":43,"healthyVolunteers":39,"sex":44,"minAge":10,"maxAge":10,"enrollmentInfo":45,"targetDuration":10,"studyType":48,"phases":10,"briefSummary":49,"conditions":50,"keywords":10,"overallStatus":16,"whyStopped":10,"lastUpdateSubmitDate":54,"lastUpdatePostDateStruct":55,"startDateStruct":58,"completionDateStruct":60,"leadSponsor":62,"locationsCount":63},{"fullName":5,"class":6},"First Affiliated Hospital of Chongqing Medical University","OTHER",[8,11],{"label":9,"type":10,"description":10,"interventionNames":10},"Non-recurrence group",null,{"label":12,"type":10,"description":10,"interventionNames":10},"Recurrence group",[14],{"facility":15,"status":16,"city":17,"state":18,"zip":19,"country":20,"countryCode":21,"cosmosGeoPoint":22,"geoPoint":27,"contacts":28},"Yingjie Xv","RECRUITING","Chongqing","Chongqing Municipality","400016","China","CN",{"type":23,"coordinates":24},"Point",[25,26],106.55771,29.56026,{"lat":26,"lon":25},[29],{"name":15,"role":30,"phone":31,"phoneExt":10,"email":32},"CONTACT","83-18725891425","xvyingjiecq@qq.com",{"type":34,"investigatorFullName":35,"investigatorTitle":36,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"SPONSOR_INVESTIGATOR","Mingzhao Xiao","Urology Department","100522862","contrast-enhanced-ct-based-deep-learning-model-for-preoperative-prediction-of-disease-free-survival-dfs-in-localized-clear-cell-renal-cell-carcinoma-ccrcc-100522862",false,"NCT06088134","Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)","Urology Department of the First Affiliated Hospital of Chongqing Medical University","Inclusion Criteria:\n\n* underwent partial\u002Fradical nephrectomies\n* histologically diagnosed as ccRCC\n* with complete clinical data and preoperative CT image data\n\nExclusion Criteria:\n\n* with incomplete clinic-pathological data\n* lack of preoperative contrast-enhanced CT images or the image quality was unsuitable for analysis\n* who received pre-surgery neoadjuvant or adjuvant therapies\n* with multiple renal tumors or\u002Fand had synchronous metastasis","ALL",{"count":46,"type":47},800,"ESTIMATED","OBSERVATIONAL","This study aims to preoperatively predict DFS of patients with localised ccRCC using a deep learning prognostic model based on enhanced contrast CT images, validate it's predictive ability in multicentre data and compare it's predictive ability with traditional models.",[51,52,53],"Clear Cell Renal Cell Carcinoma","Prognostic Cancer Model","Recurrent Renal Cell Cancer","2025-05-27",{"date":56,"type":57},"2025-05-31","ACTUAL",{"date":59,"type":57},"2022-09-01",{"date":61,"type":47},"2025-08-01",{"name":35,"class":6},1]