About this trial
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Between the ages of 5 and <18 years at the start of study. If subject will turn 18 during the study, they will be allowed to enroll.
Clinically or molecularly confirmed diagnosis of NF-1. Subjects with mosaic/segmental NF-1 also qualify for the study.
Disqualifiers
Requiring sedation for imaging.
Implants and/or Devices: Mechanical, magnetic or electrical activated implants; Ferromagnetic implants and foreign bodies
Claustrophobia, problems being in enclosed spaces, or inability to lie facing upwards.
Allergy to animal dander or animal-instigated asthma.
Trial design
Single group
Treatments tested in this trial
Whole-body Magnetic Resonance Imaging
Other interventionWhole-body Magnetic Resonance Imaging at baseline, 1 month, and 12 months
Treatment groups
Trial outcomes
Primary outcomes
For scan re-scan reliability, utilize T2 imaging to evaluate the agreement between the baseline scan and the 1 Month scan, which is performed within 4 weeks of the baseline scan.
T2 is a type of high-resolution multiparametric tissue mapping that measures quantitative metrics of the physical properties of tissue and allows comparison in longitudinal follow-up
Secondary outcomes
For change over time, the initial scan imaging using T1 and apparent diffusion coefficient (ACD) imaging, the baseline scan will be compared to the third scan, which is performed 12 months (+/- 3 months) after the baseline scan.
T1 and ACD is a type of high-resolution multiparametric tissue mapping that measures quantitative metrics of the physical properties of tissue and allows comparison in longitudinal follow-up
Sponsors and contacts
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Nicole Baca
Lead sponsor
Cedars-Sinai Medical Center
Sponsor institution