Literature DB >> 30243973

RF-induced heating in tissue near bilateral DBS implants during MRI at 1.5 T and 3T: The role of surgical lead management.

Laleh Golestanirad1, John Kirsch2, Giorgio Bonmassar2, Sean Downs2, Behzad Elahi3, Alastair Martin4, Maria-Ida Iacono5, Leonardo M Angelone5, Boris Keil6, Lawrence L Wald7, Julie Pilitsis8.   

Abstract

Access to MRI is limited for patients with deep brain stimulation (DBS) implants due to safety hazards, including radiofrequency (RF) heating of tissue surrounding the leads. Computational models provide an exquisite tool to explore the multi-variate problem of RF heating and help better understand the interaction of electromagnetic fields and biological tissues. This paper presents a computational approach to assess RF-induced heating, in terms of specific absorption rate (SAR) in the tissue, around the tip of bilateral DBS leads during MRI at 64MHz/1.5 T and 127 MHz/3T. Patient-specific realistic lead models were constructed from post-operative CT images of nine patients operated for sub-thalamic nucleus DBS. Finite element method was applied to calculate the SAR at the tip of left and right DBS contact electrodes. Both transmit head coils and transmit body coils were analyzed. We found a substantial difference between the SAR and temperature rise at the tip of right and left DBS leads, with the lead contralateral to the implanted pulse generator (IPG) exhibiting up to 7 times higher SAR in simulations, and up to 10 times higher temperature rise during measurements. The orientation of incident electric field with respect to lead trajectories was explored and a metric to predict local SAR amplification was introduced. Modification of the lead trajectory was shown to substantially reduce the heating in phantom experiments using both conductive wires and commercially available DBS leads. Finally, the surgical feasibility of implementing the modified trajectories was demonstrated in a patient operated for bilateral DBS.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computational modeling and simulations; Deep brain stimulation (DBS); Finite element method (FEM); MRI safety; Magnetic resonance imaging (MRI); Medical implants; Neuromodulation; Neurostimulation; Specific absorption rate (SAR)

Mesh:

Year:  2018        PMID: 30243973      PMCID: PMC6475594          DOI: 10.1016/j.neuroimage.2018.09.034

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  21 in total

1.  Metal Artifact Reduction in Head CT Performed for Patients with Deep Brain Stimulation Devices: Effectiveness of a Single-Energy Metal Artifact Reduction Algorithm.

Authors:  Y Nagayama; S Tanoue; S Oda; D Sakabe; T Emoto; M Kidoh; H Uetani; A Sasao; T Nakaura; O Ikeda; K Yamada; Y Yamashita
Journal:  AJNR Am J Neuroradiol       Date:  2019-12-26       Impact factor: 3.825

Review 2.  [MR safety assessment of active implanted medical devices. German version].

Authors:  Sarra Aissani; Elmar Laistler; Jacques Felblinger
Journal:  Radiologe       Date:  2019-10       Impact factor: 0.635

Review 3.  MR safety assessment of active implantable medical devices.

Authors:  Sarra Aissani; Elmar Laistler; Jacques Felblinger
Journal:  Radiologe       Date:  2019-12       Impact factor: 0.635

4.  Reducing RF-induced Heating near Implanted Leads through High-Dielectric Capacitive Bleeding of Current (CBLOC).

Authors:  Laleh Golestanirad; Leonardo M Angelone; John Kirsch; Sean Downs; Boris Keil; Giorgio Bonmassar; Lawrence L Wald
Journal:  IEEE Trans Microw Theory Tech       Date:  2019-01-01       Impact factor: 3.599

5.  Development, validation, and pilot MRI safety study of a high-resolution, open source, whole body pediatric numerical simulation model.

Authors:  Hongbae Jeong; Georgios Ntolkeras; Michel Alhilani; Seyed Reza Atefi; Lilla Zöllei; Kyoko Fujimoto; Ali Pourvaziri; Michael H Lev; P Ellen Grant; Giorgio Bonmassar
Journal:  PLoS One       Date:  2021-01-13       Impact factor: 3.240

Review 6.  Improving Safety of MRI in Patients with Deep Brain Stimulation Devices.

Authors:  Alexandre Boutet; Clement T Chow; Keshav Narang; Gavin J B Elias; Clemens Neudorfer; Jürgen Germann; Manish Ranjan; Aaron Loh; Alastair J Martin; Walter Kucharczyk; Christopher J Steele; Ileana Hancu; Ali R Rezai; Andres M Lozano
Journal:  Radiology       Date:  2020-06-23       Impact factor: 11.105

7.  Reconfigurable MRI technology for low-SAR imaging of deep brain stimulation at 3T: Application in bilateral leads, fully-implanted systems, and surgically modified lead trajectories.

Authors:  Ehsan Kazemivalipour; Boris Keil; Alireza Vali; Sunder Rajan; Behzad Elahi; Ergin Atalar; Lawrence L Wald; Joshua Rosenow; Julie Pilitsis; Laleh Golestanirad
Journal:  Neuroimage       Date:  2019-05-13       Impact factor: 6.556

8.  Three-Tesla Magnetic Resonance Imaging of Patients With Deep Brain Stimulators: Results From a Phantom Study and a Pilot Study in Patients.

Authors:  Benjamin Davidson; Fred Tam; Benson Yang; Ying Meng; Clement Hamani; Simon J Graham; Nir Lipsman
Journal:  Neurosurgery       Date:  2021-01-13       Impact factor: 4.654

9.  RF heating of deep brain stimulation implants in open-bore vertical MRI systems: A simulation study with realistic device configurations.

Authors:  Laleh Golestanirad; Ehsan Kazemivalipour; David Lampman; Hideta Habara; Ergin Atalar; Joshua Rosenow; Julie Pilitsis; John Kirsch
Journal:  Magn Reson Med       Date:  2019-11-02       Impact factor: 4.668

10.  Patient's body composition can significantly affect RF power deposition in the tissue around DBS implants: ramifications for lead management strategies and MRI field-shaping techniques.

Authors:  Bhumi Bhusal; Boris Keil; Joshua Rosenow; Ehsan Kazemivalipour; Laleh Golestanirad
Journal:  Phys Med Biol       Date:  2021-01-14       Impact factor: 3.609

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