Prediction of experimental cardiac magnetostimulation thresholds using pig‐specific body models

Author:

Klein Valerie123ORCID,Davids Mathias12ORCID,Vendramini Livia1,Ferris Natalie G.14,Schad Lothar R.35,Sosnovik David E.1246,Nguyen Christopher T.789ORCID,Wald Lawrence L.124ORCID,Guérin Bastien12ORCID

Affiliation:

1. A. A. Martinos Center for Biomedical Imaging, Department of Radiology Massachusetts General Hospital Charlestown Massachusetts USA

2. Harvard Medical School Boston Massachusetts USA

3. Computer Assisted Clinical Medicine, Medical Faculty Mannheim Heidelberg University Heidelberg Germany

4. Harvard‐MIT Division of Health Sciences and Technology Cambridge Massachusetts USA

5. Mannheim Institute for Intelligent Systems in Medicine Heidelberg University Heidelberg Germany

6. Cardiovascular Research Center, Cardiology Division Massachusetts General Hospital Charlestown Massachusetts USA

7. Cardiovascular Innovation Research Center, Heart Vascular & Thoracic Institute, Cleveland Clinic Cleveland Ohio USA

8. Department of Radiology Imaging Institute Cleveland Ohio USA

9. Department of Biomedical Engineering Lerner Research Institute Cleveland Ohio USA

Abstract

PurposeModern high‐amplitude gradient systems can be limited by the International Electrotechnical Commission 60601‐2‐33 cardiac stimulation (CS) limit, which was set in a conservative manner based on electrode experiments and E‐field simulations in uniform ellipsoidal body models. Here, we show that coupled electromagnetic‐electrophysiological modeling in detailed body and heart models can predict CS thresholds, suggesting that such modeling might lead to more detailed threshold estimates in humans. Specifically, we compare measured and predicted CS thresholds in eight pigs.MethodsWe created individualized porcine body models using MRI (Dixon for the whole body, CINE for the heart) that replicate the anatomy and posture of the animals used in our previous experimental CS study. We model the electric fields induced along cardiac Purkinje and ventricular muscle fibers and predict the electrophysiological response of these fibers, yielding CS threshold predictions in absolute units for each animal. Additionally, we assess the total modeling uncertainty through a variability analysis of the 25 main model parameters.ResultsPredicted and experimental CS thresholds agree within 19% on average (normalized RMS error), which is smaller than the 27% modeling uncertainty. No significant difference was found between the modeling predictions and experiments (p < 0.05, paired t‐test).ConclusionPredicted thresholds matched the experimental data within the modeling uncertainty, supporting the model validity. We believe that our modeling approach can be applied to study CS thresholds in humans for various gradient coils, body shapes/postures, and waveforms, which is difficult to do experimentally.

Funder

National Institutes of Health

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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5. International Electrotechnical Commission (IEC). International standard IEC 60601 medical electrical equipment.Part 2–33: particular requirements for the basic safety and essential performance of magnetic resonance equipment for medical diagnosis.IEC;2010.

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