[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100621856":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":19,"centralContacts":24,"locations":34,"responsibleParty":53,"collaborators":10,"id":55,"slug":56,"hasResults":57,"nctId":58,"briefTitle":59,"officialTitle":59,"acronym":10,"eligibilityCriteria":60,"healthyVolunteers":57,"sex":61,"minAge":62,"maxAge":10,"enrollmentInfo":63,"targetDuration":10,"studyType":66,"phases":10,"briefSummary":67,"conditions":68,"keywords":70,"overallStatus":75,"whyStopped":10,"lastUpdateSubmitDate":76,"lastUpdatePostDateStruct":77,"startDateStruct":80,"completionDateStruct":82,"leadSponsor":84,"locationsCount":85},{"fullName":5,"class":6},"Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Patients undergo prostate biopsy",null,"Patients undergo prostate biopsy and are diagnosed with prostate cancer, who receive Hormone therapy.",[13],"Other: Artificial intelligence (AI)-based predictive model (developed)",[15],{"type":6,"name":16,"description":17,"armGroupLabels":18,"otherNames":10},"Artificial intelligence (AI)-based predictive model (developed)","Collect pathological slides of prostate biopsy of the enrolled patients. Digitise these slides into whole-slide images (WSIs). Analyze the WSIs using the AI model to generate predictive results (within 12 months, between 12 to 24months or over 24 months). No intervention to patients would be performed in this predictive test study.",[9],[20],{"name":21,"affiliation":22,"role":23},"Shaoxu Wu, Ph.D","Department of Urology of Sun Yat-sen Memorial Hospital of Sun Yat-sen University","STUDY_DIRECTOR",[25,30],{"name":26,"role":27,"phone":28,"phoneExt":10,"email":29},"Tianxin Lin, Ph.D","CONTACT","13724008338","lintx@mail.sysu.edu.cn",{"name":31,"role":27,"phone":32,"phoneExt":10,"email":33},"Shaoxu Wu, MD","15017581087","wushx29@mail.sysu.edu.cn",[35],{"facility":36,"status":10,"city":37,"state":38,"zip":39,"country":40,"countryCode":41,"cosmosGeoPoint":42,"geoPoint":47,"contacts":48},"Sun Yat-sen Memorial Hospital of Sun Yat-sen University","Guangzhou","Guangdong","510120","China","CN",{"type":43,"coordinates":44},"Point",[45,46],113.25,23.11667,{"lat":46,"lon":45},[49],{"name":50,"role":27,"phone":51,"phoneExt":10,"email":52},"Cuimei Yao","13450210603","syskyk02@163.com",{"type":54,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100621856","development-and-prospective-validation-of-a-pathology-based-artificial-intelligence-model-for-predicting-the-time-to-castration-resistance-of-prostate-cancer-100621856",false,"NCT07376057","Development and Prospective Validation of a Pathology-Based Artificial Intelligence Model for Predicting the Time to Castration Resistance of Prostate Cancer","Inclusion Criteria:\n\n1. Patients are diagnosed with intermediate- to high-risk prostate cancer; undergo prostate biopsy\n2. Patients only received endocrine therapy for prostate cancer;\n3. Patients with complete clinical and pathological information.\n4. Patients agree to participate in this diagnostic test.\n\nExclusion Criteria:\n\n1. Patients with other tumors and undergo systemic therapy .\n2. The patient refused to participate in this diagnostic test.","MALE","18 Years",{"count":64,"type":65},150,"ESTIMATED","OBSERVATIONAL","The goal of this predictive test is to prospectively test the performance of pre-developed artificial intelligence (AI) predictive model for predicting the time to castration resistance of prostate cancer. Investigators had developed this AI model based on deep learning algorithms in preliminary research, and it performed well in retrospective tests.",[69],"Prostatic Neoplasms, Castration-Resistant",[71,72,73,74],"artificial intelligence","time to castration-resistant","prostate cancer","whole slide image","NOT_YET_RECRUITING","2026-01-21",{"date":78,"type":79},"2026-01-29","ACTUAL",{"date":81,"type":65},"2026-01-01",{"date":83,"type":65},"2028-12-31",{"name":5,"class":6},1]