Evidence map›Paper›PMID 31096058›Full record

ArticleNeuroImage2019

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.

Ehsan Kazemivalipour, Boris Keil, Alireza Vali, Sunder Rajan, Behzad Elahi, Ergin Atalar, Lawrence L Wald, Joshua Rosenow, Julie Pilitsis, Laleh Golestanirad

Abstract read
In one paragraph

Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 67 citations in OpenAlex.

  1. RF Power, BSensors (Basel, Switzerland) · 2026
    Article
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  4. Control of radiated emissions during MRI using parallel transmit: a path to eliminating the Faraday shielded room for 0.5T imaging.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
  5. Article
  6. A deep brain stimulation-conditioned RF coil for 3T MRI.Magnetic resonance in medicine · 2025
    Article
  7. Article
  8. Dual birdcage coils to control radiation from MRI systems operated without a Faraday cage.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
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  13. Low-field MRI's Spark on Implant Safety: A Closer Look at Radiofrequency Heating.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2023
    Article
  14. Rapid prediction of MRI-induced RF heating of active implantable medical devices using machine learning.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2023
    Article
  15. RF-induced heating of capped and uncapped abandoned epicardial leads during MRI at 1.5 T and 3 T.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2023
    Article
  16. Optimizing the trajectory of deep brain stimulation leads reduces RF heating during MRI at 3 T: Characteristics and clinical translation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 2 countries.

Ehsan KazemivalipourDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Department of Electrical and Electronic Engineering, Bilkent University, Ankara, Turkey; National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey.
Boris KeilDepartment of Life Science Engineering, Institute of Medical Physics and Radiation Protection, Giessen, Germany.
Alireza ValiDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Sunder RajanDivision of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Behzad ElahiDepartment of Neurology, Bryan Health, Lincoln, NE, USA.
Ergin AtalarDepartment of Electrical and Electronic Engineering, Bilkent University, Ankara, Turkey; National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey.
Lawrence L WaldA. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
Joshua RosenowDepartment of Neurosurgical Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Julie PilitsisDepartment of Neurosurgery, Albany Medical Center, Albany, NY, USA.
Laleh GolestaniradDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA. Electronic address: laleh.rad1@northwestern.edu.
Northwestern University · USAlbany Medical Center Hospital · USBilkent University · TRBryan Health · USMassachusetts General Hospital · USUnited States Food and Drug Administration · US

Funding

Patient-adjustable MRI technology for high-resolution imaging of deep brain stimulationR00EB021320 · NIBIB · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GOLESTANI RAD, LALEH · 2018 to 2020
$733k
NIBIB NIH HHS R00 EB021320
6 · The paper itself

Abstract

Patients with deep brain stimulation devices highly benefit from postoperative MRI exams, however MRI is not readily accessible to these patients due to safety risks associated with RF heating of the implants. Recently we introduced a patient-adjustable reconfigurable coil technology that substantially reduced local SAR at tips of single isolated DBS leads during MRI at 1.5 T in 9 realistic patient models. This contribution extends our work to higher fields by demonstrating the feasibility of scaling the technology to 3T and assessing its performance in patients with bilateral leads as well as fully implanted systems. We developed patient-derived models of bilateral DBS leads and fully implanted DBS systems from postoperative CT images of 13 patients and performed finite element simulations to calculate SAR amplification at electrode contacts during MRI with a reconfigurable rotating coil at 3T. Compared to a conventional quadrature body coil, the reconfigurable coil system reduced the SAR on average by 83% for unilateral leads and by 59% for bilateral leads. A simple surgical modification in trajectory of implanted leads was demonstrated to increase the SAR reduction efficiency of the rotating coil to >90% in a patient with a fully implanted bilateral DBS system. Thermal analysis of temperature-rise around electrode contacts during typical brain exams showed a 15-fold heating reduction using the rotating coil, generating <1°C temperature rise during ∼4-min imaging with high-SAR sequences where a conventional CP coil generated >10°C temperature rise in the tissue for the same flip angle.

Indexed as

Electrodes, ImplantedModels, NeurologicalDeep Brain StimulationHumansMagnetic Resonance ImagingPrecision MedicineDeep brain stimulation (DBS)Finite elementIndividualized medicineIn-silico medicineMagnetic resonance imaging (MRI)Medical implantsMRI coilsMRI safetyNeuromodulationNeurostimulationReconfigurable MRISimulationsSpecific absorption rate (SAR)

Identifiers

PMID31096058
PMCPMC7266624
OpenAlexW2945424927

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.