[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Mingzhao Xiao\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":62},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,41],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":4,"eligibilityCriteria":14,"healthyVolunteers":11,"sex":15,"minAge":4,"maxAge":4,"enrollmentInfo":16,"targetDuration":4,"studyType":19,"phases":4,"briefSummary":20,"conditions":21,"keywords":23,"overallStatus":28,"whyStopped":4,"lastUpdateSubmitDate":29,"lastUpdatePostDateStruct":30,"startDateStruct":33,"completionDateStruct":35,"leadSponsor":37,"locationsCount":40},"100545983","whole-slide-image-and-ct-radiomics-based-deep-learning-system-for-prognostication-prediction-in-bladder-cancer-100545983",false,"NCT06389019","Whole-slide Image and CT Radiomics Based Deep Learning System for Prognostication Prediction in Bladder Cancer","Inclusion Criteria:\n\n* patients with bladder cancer who had surgery like radical cystectomy or transurethral resection of bladder tumour (TURBT)\n* contrast-CT scan less than two weeks before surgery\n* complete CT image data and clinical data\n* complete whole slide image data\n\nExclusion Criteria:\n\n* patients with a postoperative diagnosis of non-urothelial carcinoma\n* poor quality of CT images\n* incomplete clinical and follow-up data","ALL",{"count":17,"type":18},1000,"ESTIMATED","OBSERVATIONAL","Bladder cancer (BLCA), with its diverse histopathological features and varying patient outcomes, poses significant challenges in diagnosis and prognosis. Postoperative survival stratification based on radiomics feature and whole slide image feature may be useful for treatment decisions to improve prognosis. In this research, we aim to develop a deep learning-based prognostic-stratification system for automatic prediction of overall and cancer-specific survival in patients with BLCA.",[22],"Bladder Cancer",[24,25,26,27],"deep learning","Radiomics","Histopathological tissue slides","Tomography","RECRUITING","2025-05-27",{"date":31,"type":32},"2025-05-28","ACTUAL",{"date":34,"type":32},"2024-01-01",{"date":36,"type":18},"2025-10-01",{"name":38,"class":39},"Mingzhao Xiao","OTHER",1,{"id":42,"slug":43,"hasResults":11,"nctId":44,"briefTitle":45,"officialTitle":46,"acronym":4,"eligibilityCriteria":47,"healthyVolunteers":11,"sex":15,"minAge":4,"maxAge":4,"enrollmentInfo":48,"targetDuration":4,"studyType":19,"phases":4,"briefSummary":50,"conditions":51,"keywords":4,"overallStatus":28,"whyStopped":4,"lastUpdateSubmitDate":29,"lastUpdatePostDateStruct":55,"startDateStruct":57,"completionDateStruct":59,"leadSponsor":61,"locationsCount":40},"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","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",{"count":49,"type":18},800,"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.",[52,53,54],"Clear Cell Renal Cell Carcinoma","Prognostic Cancer Model","Recurrent Renal Cell Cancer",{"date":56,"type":32},"2025-05-31",{"date":58,"type":32},"2022-09-01",{"date":60,"type":18},"2025-08-01",{"name":38,"class":39},""]