This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
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.
Identification of Pre-Malignant Lesions In Pediatric Patients With Neurofibromatosis Type 1 Using Novel Magnetic Resonance Imaging Techniques Paired With Artificial Intelligence
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: Nicole Baca
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.