[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Nicole Baca\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":42},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":4,"eligibilityCriteria":14,"healthyVolunteers":11,"sex":15,"minAge":16,"maxAge":17,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":22,"briefSummary":24,"conditions":25,"keywords":27,"overallStatus":30,"whyStopped":4,"lastUpdateSubmitDate":31,"lastUpdatePostDateStruct":32,"startDateStruct":35,"completionDateStruct":37,"leadSponsor":39,"locationsCount":5},"100421079","identification-of-pre-malignant-lesions-in-pediatric-patients-with-neurofibromatosis-type-1-using-novel-magnetic-resonance-imaging-techniques-paired-with-artificial-intelligence-100421079",false,"NCT04763109","Identification of Pre-Malignant Lesions In Pediatric Patients With Neurofibromatosis Type 1 Using Novel Magnetic Resonance Imaging Techniques Paired With Artificial Intelligence","Inclusion Criteria:\n\n* Between the ages of 5 and \\\u003C18 years at the start of study. If subject will turn 18 during the study, they will be allowed to enroll.\n* Clinically or molecularly confirmed diagnosis of NF-1. Subjects with mosaic\u002Fsegmental NF-1 also qualify for the study.\n\nExclusion Criteria:\n\n* Requiring sedation for imaging.\n* Implants and\u002For Devices: Mechanical, magnetic or electrical activated implants; Ferromagnetic implants and foreign bodies\n* Claustrophobia, problems being in enclosed spaces, or inability to lie facing upwards.\n* Allergy to animal dander or animal-instigated asthma.","ALL","5 Years","17 Years",{"count":19,"type":20},15,"ESTIMATED","INTERVENTIONAL",[23],"NA","This is a single arm pilot trial of a novel whole-body Magnetic Resonance Imaging paired with artificial intelligence intervention, to evaluate feasibility defined as scan-rescan reliability, and to estimate the positive predictive value of changes in Magnetic Resonance Imaging scans from baseline to 12-month visit using an Artificial Intelligence algorithm, among 15 pediatric patients with neurofibromatosis type 1 at Cedars-Sinai Medical Center.",[26],"Neurofibromatosis Type 1",[28,26,29],"Pediatric","magnetic resonance imaging","RECRUITING","2026-05-01",{"date":33,"type":34},"2026-05-07","ACTUAL",{"date":36,"type":34},"2022-07-08",{"date":38,"type":20},"2029-05",{"name":40,"class":41},"Nicole Baca","OTHER",""]