[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100608184":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":12,"locations":18,"responsibleParty":47,"collaborators":49,"id":51,"slug":52,"hasResults":53,"nctId":54,"briefTitle":55,"officialTitle":56,"acronym":10,"eligibilityCriteria":57,"healthyVolunteers":53,"sex":58,"minAge":59,"maxAge":60,"enrollmentInfo":61,"targetDuration":10,"studyType":64,"phases":10,"briefSummary":65,"conditions":66,"keywords":71,"overallStatus":21,"whyStopped":10,"lastUpdateSubmitDate":78,"lastUpdatePostDateStruct":79,"startDateStruct":82,"completionDateStruct":84,"leadSponsor":86,"locationsCount":87},{"fullName":5,"class":6},"Second Affiliated Hospital, School of Medicine, Zhejiang University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"malignant brain tumors",null,"Retrospectively collected cases of malignant brain tumors (including gliomas, brain metastases, and brain lymphomas) that were confirmed by histopathology and had preoperative multimodal MRI images (mainly including CE-T1WI and T2-FLAIR) over the past 10 years",[13],{"name":14,"role":15,"phone":16,"phoneExt":10,"email":17},"Chao Wang, MD","CONTACT","8613706518691","wangchaosmart@zju.edu.cn",[19,35],{"facility":20,"status":21,"city":22,"state":23,"zip":24,"country":25,"countryCode":26,"cosmosGeoPoint":27,"geoPoint":32,"contacts":33},"2nd Affiliated Hospital, School of Medicine, Zhejiang University","RECRUITING","Hangzhou","Zhejiang","310009","China","CN",{"type":28,"coordinates":29},"Point",[30,31],120.16142,30.29365,{"lat":31,"lon":30},[34],{"name":14,"role":15,"phone":16,"phoneExt":10,"email":17},{"facility":36,"status":37,"city":22,"state":23,"zip":38,"country":25,"countryCode":26,"cosmosGeoPoint":39,"geoPoint":41,"contacts":42},"Zhejiang Cancer Hospital","NOT_YET_RECRUITING","310022",{"type":28,"coordinates":40},[30,31],{"lat":31,"lon":30},[43],{"name":44,"role":15,"phone":45,"phoneExt":10,"email":46},"Lei Shi, MD","8615988872208","shilei@zjcc.org.cn",{"type":48,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR",[50],{"name":36,"class":6},"100608184","ai-assisted-diagnosis-of-malignant-brain-tumors-100608184",false,"NCT07198256","AI-assisted Diagnosis of Malignant Brain Tumors","Research on AI-assisted Diagnosis of Common Malignant Brain Tumors Based on Magnetic Resonance Imaging","Inclusion Criteria:\n\n* Patients diagnosed with glioma, brain metastases, and brain lymphoma by pathology, with the patient being at least 18 years old; preoperative MRI was complete.\n\nExclusion Criteria:\n\n* Poor image quality; history of previous brain surgery or radiotherapy; accompanied by other intracranial lesions.","ALL","18 Years","100 Years",{"count":62,"type":63},3000,"ESTIMATED","OBSERVATIONAL","This study aims to establish a large-scale, multi-center MRI database for malignant brain tumors. It will develop an artificial intelligence system for the segmentation and classification of multiple subtypes of brain tumors (including glioma, metastatic tumor and lymphoma et al.) using deep learning technology. This will address the issues of small sample sizes and limited classification performance in existing methods, thereby improving the accuracy of non-invasive preoperative diagnosis, reducing the need for biopsies, and having significant clinical translational value.",[67,68,69,70],"Gliomas","Brain Metastases, Adult","Lymphoma","Brain Tumor Adult",[72,73,74,75,76,77],"brain tumor","glioma","brain metastases","lymphoma","magnetic resonance imaging","artificial intelligence","2025-09-22",{"date":80,"type":81},"2025-09-30","ACTUAL",{"date":83,"type":81},"2025-09-01",{"date":85,"type":63},"2028-12-31",{"name":5,"class":6},2]