[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100505714":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":20,"centralContacts":24,"locations":29,"responsibleParty":58,"collaborators":60,"id":64,"slug":10,"hasResults":65,"nctId":66,"briefTitle":67,"officialTitle":68,"acronym":10,"eligibilityCriteria":69,"healthyVolunteers":65,"sex":70,"minAge":71,"maxAge":10,"enrollmentInfo":72,"targetDuration":10,"studyType":75,"phases":10,"briefSummary":76,"conditions":77,"keywords":10,"overallStatus":31,"whyStopped":10,"lastUpdateSubmitDate":79,"lastUpdatePostDateStruct":80,"startDateStruct":83,"completionDateStruct":85,"leadSponsor":87,"locationsCount":88},{"fullName":5,"class":6},"Washington University School of Medicine","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Standard of care rsfMRI using the Support Vector Machine algorithm",null,"* Once enrolled, clinical pre-surgical MRI will be done on Siemens 3T Prisma or Skyra scanners using a standard pre-surgical tumor protocol. Resting-state functional MRI (rsfMRI) will be acquired. The Support Vector Machine (SVM) algorithm will be used on this pre-surgical MRI.\n* Patients will undergo post-operative MRI at approximately 8-12 weeks following surgical resection to evaluate extent of resection. Patients will then undergo subsequent MRI imaging every 2-3 months as part of routine clinical care to monitor for recurrence. The following MR sequences will be acquired: pre-and post-contrast T1-weighted, T2-weighted FLAIR, diffusion weighted imaging. MRI scans will be reviewed by a board-certified neuroradiologist to determine date of radiographic progression\u002Frecurrence. Imaging features at recurrence including location, multifocality, and presence of diffuse or distant recurrence will also be recorded.",[13],"Device: Support Vector Machine",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":10},"DEVICE","Support Vector Machine","Machine learning algorithm",[9],[21],{"name":22,"affiliation":5,"role":23},"Dimitrios Mathios, M.D.","PRINCIPAL_INVESTIGATOR",[25],{"name":22,"role":26,"phone":27,"phoneExt":10,"email":28},"CONTACT","314-747-6146","mathios@wustl.edu",[30],{"facility":5,"status":31,"city":32,"state":33,"zip":34,"country":35,"cosmosGeoPoint":36,"geoPoint":41,"contacts":42},"RECRUITING","St Louis","Missouri","63110","United States",{"type":37,"coordinates":38},"Point",[39,40],-90.19789,38.62727,{"lat":40,"lon":39},[43,44,45,48,50,52,54,56],{"name":22,"role":26,"phone":27,"phoneExt":10,"email":28},{"name":22,"role":23,"phone":10,"phoneExt":10,"email":10},{"name":46,"role":47,"phone":10,"phoneExt":10,"email":10},"Joshua Shimony, M.D.","SUB_INVESTIGATOR",{"name":49,"role":47,"phone":10,"phoneExt":10,"email":10},"Milan Chheda, M.D.",{"name":51,"role":47,"phone":10,"phoneExt":10,"email":10},"Abraham Synder, M.D., Ph.D.",{"name":53,"role":47,"phone":10,"phoneExt":10,"email":10},"Patrick Luckett, Ph.D.",{"name":55,"role":47,"phone":10,"phoneExt":10,"email":10},"Feng Gao, Ph.D.",{"name":57,"role":47,"phone":10,"phoneExt":10,"email":10},"Eric Leuthardt, M.D.",{"type":59,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR",[61],{"name":62,"class":63},"National Cancer Institute (NCI)","NIH","100505714",false,"NCT05864976","Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning","Advancing Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning - a Prospective Study","Inclusion Criteria:\n\n* Must have a radiological diagnosis of a lesion in the brain with characteristics consistent with glioblastoma multiforme.\n* Must be planning to undergo a pre-operative MRI.\n* Must be at least 18 years old.\n* Must be able to understand and willing to sign an IRB approved written informed consent document.\n\nExclusion Criteria:\n\n* Contraindication to MRI.\n* Inability to have clinical follow-up (e.g., patient is out of town and will do follow-up elsewhere).","ALL","18 Years",{"count":73,"type":74},100,"ESTIMATED","OBSERVATIONAL","This study is investigating the use of a computer algorithm to analyze scans of the brain before surgery to predict how a person's tumor will respond to treatment.",[78],"Glioblastoma Multiforme","2026-06-26",{"date":81,"type":82},"2026-06-30","ACTUAL",{"date":84,"type":82},"2023-12-06",{"date":86,"type":74},"2030-01-31",{"name":5,"class":6},1]