[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100421236":3},{"organization":4,"armGroups":7,"interventions":15,"overallOfficials":28,"centralContacts":33,"locations":39,"responsibleParty":58,"collaborators":60,"id":66,"slug":67,"hasResults":68,"nctId":69,"briefTitle":70,"officialTitle":70,"acronym":10,"eligibilityCriteria":71,"healthyVolunteers":68,"sex":72,"minAge":73,"maxAge":10,"enrollmentInfo":74,"targetDuration":10,"studyType":77,"phases":10,"briefSummary":78,"conditions":79,"keywords":10,"overallStatus":41,"whyStopped":10,"lastUpdateSubmitDate":81,"lastUpdatePostDateStruct":82,"startDateStruct":85,"completionDateStruct":87,"leadSponsor":89,"locationsCount":90},{"fullName":5,"class":6},"Jonsson Comprehensive Cancer Center","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Observational (electronic health record review, 3 T MRI)",null,"RETROSPECTIVE: Patients' medical records are reviewed.\n\nPROSPECTIVE: Patients undergo additional 3T MRI imaging over 30 minutes before, during, or after their standard of care 3T MRI for a total of 1.5 hours.",[13,14],"Procedure: 3 Tesla Magnetic Resonance Imaging","Other: Electronic Health Record Review",[16,24],{"type":17,"name":18,"description":19,"armGroupLabels":20,"otherNames":21},"PROCEDURE","3 Tesla Magnetic Resonance Imaging","Undergo 3T MRI",[9],[22,23],"3 Tesla MRI","3T MRI",{"type":6,"name":25,"description":26,"armGroupLabels":27,"otherNames":10},"Electronic Health Record Review","Medical charts are reviewed",[9],[29],{"name":30,"affiliation":31,"role":32},"Kyung H Sung, PhD","UCLA \u002F Jonsson Comprehensive Cancer Center","PRINCIPAL_INVESTIGATOR",[34],{"name":35,"role":36,"phone":37,"phoneExt":10,"email":38},"Nashla Barroso","CONTACT","(310) 794-7952","nbarroso@mednet.ucla.edu",[40],{"facility":31,"status":41,"city":42,"state":43,"zip":44,"country":45,"countryCode":46,"cosmosGeoPoint":47,"geoPoint":52,"contacts":53},"RECRUITING","Los Angeles","California","90095","United States","US",{"type":48,"coordinates":49},"Point",[50,51],-118.24368,34.05223,{"lat":51,"lon":50},[54,56],{"name":35,"role":36,"phone":55,"phoneExt":10,"email":38},"310-794-7952",{"name":57,"role":32,"phone":10,"phoneExt":10,"email":10},"Kyung H. Sung, PhD",{"type":59,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR",[61,64],{"name":62,"class":63},"National Institutes of Health (NIH)","NIH",{"name":65,"class":63},"National Cancer Institute (NCI)","100421236","integrating-quantitative-mri-and-artificial-intelligence-to-improve-prostate-cancer-classification-100421236",false,"NCT04765150","Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification","Inclusion Criteria:\n\n* Male patients 18 years of age and older\n* Clinical suspicion of prostate cancer or biopsy-confirmed prostate cancer\n* Undergone or undergoing multi-parametric 3 T prostate MRI at the University of California at Los Angeles (UCLA)\n* Ability to provide consent\n\nExclusion Criteria:\n\n* Contraindications to MRI (e.g., cardiac devices, prosthetic valves, severe claustrophobia)\n* Contraindications to gadolinium contrast-based agents other than the possibility of an allergic reaction to the gadolinium contrast-based agent\n* Prior radiotherapy","MALE","18 Years",{"count":75,"type":76},275,"ESTIMATED","OBSERVATIONAL","This study evaluates how new magnetic resonance imaging (MRI) and artificial intelligence techniques improve the image quality and quantitative information for future prostate MRI exams in patients with suspicious of confirmed prostate cancer. The MRI and artificial intelligence techniques developed in this study may improve the accuracy in diagnosing prostate cancer in the future using less invasive techniques than what is currently used.",[80],"Prostate Carcinoma","2026-05-21",{"date":83,"type":84},"2026-05-26","ACTUAL",{"date":86,"type":84},"2021-04-01",{"date":88,"type":76},"2027-06-01",{"name":5,"class":6},1]