ArticleHeart rhythm O22021
Utilization and programming of an automatic MRI recognition feature for cardiac rhythm management devices.
Article in Heart rhythm O2, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Nurse practitioner-led CIED monitoring during MRI in pediatric and adult patients with congenital heart disease.Heart rhythm O2 · 2026Article
- An Interchangeability Test Method for Developing IPG Impedance Equivalency Evidence for Cardiac Implantable Electronic Device Under MRI.Magnetic resonance in medicine · 2026Article
- Clinical experience with remote programming of cardiac implantable electronic devices.Frontiers in digital health · 2025Article
- Magnetic resonance imaging in patients with cardiac implantable electronic devices: the RESONANCE Spanish registry.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024Article
- Safety and performance of MR-conditional pacing systems with automated MRI mode at 1.5 and 3 Tesla.European radiology · 2023Article
- Electromagnetic Field Associated With Dermoscope Magnets May Affect the Safety of Cardiac Implanted Electronic Devices Patients.Frontiers in cardiovascular medicine · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCardiac 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.
objectiveThe purpose was to analyze de-identified daily remote transmission data to characterize the utilization of the MRI AutoDetect feature.
methodsHome 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.
resultsAmong 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.
conclusionAs 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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