Heart Rhythm O2 · 2021 · 14 citations · 5 references
MedicineBiomedical EngineeringCardiologyBiomedical ImagingDiagnostic ImagingDiagnostic RadiologyCardiac Conduction SystemCardiac ImagingCardiac PacingMagnetic Resonance ImagingMedical ImagingPacemaker CareCardiac Implantable DevicesCardiac Monitoring SystemsImplantable Cardioverter DefibrillatorsMri Safety With PacemakersRemote Cardiac Monitoring
BACKGROUND: Cardiac implantable electronic devices (CIED)-ie, pacemakers, implantable cardioverter-defibrillators, and cardiac resynchronization therapy devices-have recently been designed to allow for patients to safely undergo magnetic resonance imaging (MRI) when specific programming is implemented. MRI AutoDetect is a feature that automatically switches CIED's programming into and out of an MR safe mode when exposed to an MRI environment. OBJECTIVE: The purpose was to analyze de-identified daily remote transmission data to characterize the utilization of the MRI AutoDetect feature. METHODS: Home Monitoring transmission data collected from MRI AutoDetect-capable devices were retrospectively analyzed to determine the workflow and usage in patients experiencing an MRI using the MRI AutoDetect feature. RESULTS: Among 48,756 capable systems, 2197 devices underwent an MRI using the MRI AutoDetect feature. In these 2197 devices, the MRI AutoDetect feature was used a total of 2806 times with an average MRI exposure of 40.83 minutes. The majority (88.9%) of MRI exposures occurred on the same day as the MRI AutoDetect programming. A same day post-MRI exposure follow-up device interrogation was performed 8.6% of the time. A device-related complaint occurred within 30 days of the MRI exposure in 0.25% of MRI exposures using MRI AutoDetect but with no adverse clinical outcome. CONCLUSION: As a result of automation in device programming, the MRI AutoDetect feature eliminated post-MRI device reprogramming in 91.4% of MRI exposures and, while less frequent, allowed for pre-MRI interrogations prior to the day of the MRI exposure-reducing resource utilization and creating workflow flexibility.
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Juan C. Camacho, Courtney C. Moreno, Anand Shah et al. · American Journal of Roentgenology · 2016 · 31 citations
Medicine, Cardiology, Radiology +16