Computational study of the effects of orthopedic plates on gradient-induced peripheral nerve stimulation under MRI using electromagnetic and neurophysiological modeling.

IF 3 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Lijian Yang, Xiaolin Yang, Hui Ye, Norbert Kaula, Yuanhu Jin, Jianfeng Zheng, Wolfgang Kainz, Ji Chen
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引用次数: 0

Abstract

Purpose: This study investigates the impact of orthopedic plates on peripheral nerve stimulation (PNS) during MRI, focusing on how the presence of implants affects PNS thresholds.

Methods: A combination of anatomical electromagnetic and neurophysiological modeling was utilized. Electromagnetic fields in human body models were simulated, both with and without orthopedic plates. Simulations were performed under x-, y-, and z-axis gradient coils, with plates implanted at two clinically relevant locations. Nerve responses were modeled using an established neurophysiological model.

Results: The presence of orthopedic implants significantly influenced nerve stimulation, leading to reductions in stimulation thresholds of up to 80%. Some of the reduced thresholds were close to the PNS limits outlined in International Electrotechnical Commission (IEC) 60601-2-33, suggesting a considerably reduced safety margin compared to cases without implants.

Conclusion: Orthopedic implants can substantially lower the activation thresholds of nearby nerves, with some thresholds approaching the PNS limits defined in IEC 60601-2-33 for MRI gradient field. This finding indicates a reduced safety margin for patients with implants, highlighting the need for more comprehensive safety assessments.

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来源期刊
CiteScore
6.70
自引率
24.20%
发文量
376
审稿时长
2-4 weeks
期刊介绍: Magnetic Resonance in Medicine (Magn Reson Med) is an international journal devoted to the publication of original investigations concerned with all aspects of the development and use of nuclear magnetic resonance and electron paramagnetic resonance techniques for medical applications. Reports of original investigations in the areas of mathematics, computing, engineering, physics, biophysics, chemistry, biochemistry, and physiology directly relevant to magnetic resonance will be accepted, as well as methodology-oriented clinical studies.
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