Literature DB >> 31677308

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

Laleh Golestanirad1,2, Ehsan Kazemivalipour1,3,4, David Lampman5, Hideta Habara6, Ergin Atalar3,4, Joshua Rosenow7, Julie Pilitsis8, John Kirsch9.   

Abstract

PURPOSE: Patients with deep brain stimulation (DBS) implants benefit highly from MRI, however, access to MRI is restricted for these patients because of safety hazards associated with RF heating of the implant. To date, all MRI studies on RF heating of medical implants have been performed in horizontal closed-bore systems. Vertical MRI scanners have a fundamentally different distribution of electric and magnetic fields and are now available at 1.2T, capable of high-resolution structural and functional MRI. This work presents the first simulation study of RF heating of DBS implants in high-field vertical scanners.
METHODS: We performed finite element electromagnetic simulations to calculate specific absorption rate (SAR) at tips of DBS leads during MRI in a commercially available 1.2T vertical coil compared to a 1.5T horizontal scanner. Both isolated leads and fully implanted systems were included.
RESULTS: We found 10- to 30-fold reduction in SAR implication at tips of isolated DBS leads, and up to 19-fold SAR reduction at tips of leads in fully implanted systems in vertical coils compared to horizontal birdcage coils.
CONCLUSIONS: If confirmed in larger patient cohorts and verified experimentally, this result can open the door to plethora of structural and functional MRI applications to guide, interpret, and advance DBS therapy.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MR-guided neurosurgery; MRI safety; RF heating; deep brain stimulation; finite element method (FEM); interventional MRI; medical implants; open-bore MRI; vertical MRI

Mesh:

Year:  2019        PMID: 31677308      PMCID: PMC7047541          DOI: 10.1002/mrm.28049

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  33 in total

1.  RF heating due to conductive wires during MRI depends on the phase distribution of the transmit field.

Authors:  Christopher J Yeung; Robert C Susil; Ergin Atalar
Journal:  Magn Reson Med       Date:  2002-12       Impact factor: 4.668

2.  Reduction of the radiofrequency heating of metallic devices using a dual-drive birdcage coil.

Authors:  Yigitcan Eryaman; Esra Abaci Turk; Cagdas Oto; Oktay Algin; Ergin Atalar
Journal:  Magn Reson Med       Date:  2012-05-10       Impact factor: 4.668

Review 3.  The impact of modern-day neuroimaging on the field of deep brain stimulation.

Authors:  Andreas Horn
Journal:  Curr Opin Neurol       Date:  2019-08       Impact factor: 5.710

4.  Parallel radiofrequency transmission at 3 tesla to improve safety in bilateral implanted wires in a heterogeneous model.

Authors:  Clare E McElcheran; Benson Yang; Kevan J T Anderson; Laleh Golestanirad; Simon J Graham
Journal:  Magn Reson Med       Date:  2017-02-28       Impact factor: 4.668

5.  Changes in cerebral activity pattern due to subthalamic nucleus or internal pallidum stimulation in Parkinson's disease.

Authors:  P Limousin; J Greene; P Pollak; J Rothwell; A L Benabid; R Frackowiak
Journal:  Ann Neurol       Date:  1997-09       Impact factor: 10.422

6.  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

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.  Neurostimulation system used for deep brain stimulation (DBS): MR safety issues and implications of failing to follow safety recommendations.

Authors:  Ali R Rezai; Michael Phillips; Kenneth B Baker; Ashwini D Sharan; John Nyenhuis; Jean Tkach; Jaimie Henderson; Frank G Shellock
Journal:  Invest Radiol       Date:  2004-05       Impact factor: 6.016

9.  Deep brain stimulation of the ventral capsule/ventral striatum for treatment-resistant depression.

Authors:  Donald A Malone; Darin D Dougherty; Ali R Rezai; Linda L Carpenter; Gerhard M Friehs; Emad N Eskandar; Scott L Rauch; Steven A Rasmussen; Andre G Machado; Cynthia S Kubu; Audrey R Tyrka; Lawrence H Price; Paul H Stypulkowski; Jonathon E Giftakis; Mark T Rise; Paul F Malloy; Stephen P Salloway; Benjamin D Greenberg
Journal:  Biol Psychiatry       Date:  2008-10-08       Impact factor: 13.382

10.  Reconfigurable MRI coil technology can substantially reduce RF heating of deep brain stimulation implants: First in-vitro study of RF heating reduction in bilateral DBS leads at 1.5 T.

Authors:  Laleh Golestanirad; Ehsan Kazemivalipour; Boris Keil; Sean Downs; John Kirsch; Behzad Elahi; Julie Pilitsis; Lawrence L Wald
Journal:  PLoS One       Date:  2019-08-07       Impact factor: 3.240

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  5 in total

Review 1.  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

2.  The effect of simulation strategies on prediction of power deposition in the tissue around electronic implants during magnetic resonance imaging.

Authors:  Bach T Nguyen; Julie Pilitsis; Laleh Golestanirad
Journal:  Phys Med Biol       Date:  2020-09-16       Impact factor: 3.609

3.  Machine learning-based prediction of MRI-induced power absorption in the tissue in patients with simplified deep brain stimulation lead models.

Authors:  Jasmine Vu; Bach T Nguyen; Bhumi Bhusal; Justin Baraboo; Joshua Rosenow; Ulas Bagci; Molly G Bright; Laleh Golestanirad
Journal:  IEEE Trans Electromagn Compat       Date:  2021-09-30       Impact factor: 2.036

4.  A workflow for predicting temperature increase at the electrical contacts of deep brain stimulation electrodes undergoing MRI.

Authors:  Alireza Sadeghi-Tarakameh; Nur Izzati Huda Zulkarnain; Xiaoxuan He; Ergin Atalar; Noam Harel; Yigitcan Eryaman
Journal:  Magn Reson Med       Date:  2022-07-04       Impact factor: 3.737

5.  Safety of MRI in patients with retained cardiac leads.

Authors:  Bach T Nguyen; Bhumi Bhusal; Amir Ali Rahsepar; Kate Fawcett; Stella Lin; Daniel S Marks; Rod Passman; Donny Nieto; Richard Niemzcura; Laleh Golestanirad
Journal:  Magn Reson Med       Date:  2021-12-27       Impact factor: 3.737

  5 in total

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