Evidence map›Paper›PMID 38153187›Full record

ArticleMedical physics2024

A workflow for predicting radiofrequency-induced heating around bilateral deep brain stimulation electrodes in MRI.

Nur Izzati Huda Zulkarnain, Alireza Sadeghi-Tarakameh, Jeromy Thotland, Noam Harel, Yigitcan Eryaman

Open access · hybridAbstract read
In one paragraph

Article in Medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Nur Izzati Huda ZulkarnainCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Alireza Sadeghi-TarakamehCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Jeromy ThotlandCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Noam HarelCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Yigitcan EryamanCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Resonance Research (United States) · USUniversity of Minnesota · US

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Mehmet Akcakaya · 2019 to 2026
$11.7M
Computer Aided Diagnostic System for Prostate Cancer Detection Using Quantitative Multiparametric MRIR01CA241159 · NCI · UNIVERSITY OF MINNESOTA · PI METZGER, GREGORY JOHN · 2021 to 2025
$3.0M
Safe Magnetic Resonance Imaging of Patients with Deep Brain Stimulation SystemsR01NS115180 · NINDS · UNIVERSITY OF MINNESOTA · PI ERYAMAN, YIGITCAN · 2020 to 2024
$1.9M
NCI NIH HHS R01 CA241159NIBIB NIH HHS P41 EB027061NINDS NIH HHS R01 NS115180NINDS NIH HHS R01NS115180
6 · The paper itself

Abstract

backgroundHeating around deep brain stimulation (DBS) in magnetic resonance imaging (MRI) occurs when the time-varying electromagnetic (EM) fields induce currents in the electrodes which can generate heat and potentially cause tissue damage. Predicting the heating around the electrode contacts is important to ensure the safety of patients with DBS implants undergoing an MRI scan. We previously proposed a workflow to predict heating around DBS contacts and introduced a parameter, equivalent transimpedance, that is independent of electrode trajectories, termination, and radiofrequency (RF) excitations. The workflow performance was validated in a unilateral DBS system. PURPOSE: To predict RF heating around the contacts of bilateral (DBS) electrodes during an MRI scan in an anthropomorphic head phantom.

methodsBilateral electrodes were fixed in a skull phantom filled with hydroxyethyl cellulose (HEC) gel. The electrode shafts were suspended extracranially, in a head and torso phantom filled with the same gel material. The current induced on the electrode shaft was experimentally measured using an MR-based technique 3 cm above the tip. A transimpedance value determined in a previous offline calibration was used to scale the shaft current and calculate the contact voltage. The voltage was assigned as a boundary condition on the electrical contacts of the electrode in a quasi-static (EM) simulation. The resulting specific absorption rate (SAR) distribution became the input for a transient thermal simulation and was used to predict the heating around the contacts. RF heating experiments were performed for eight different lead trajectories using circularly polarized (CP) excitation and two linear excitations for one trajectory. The measured temperatures for all experiments were compared with the simulated temperatures and the root-mean-squared errors (RMSE) were calculated.

resultsThe RF heating around the contacts of both bilateral electrodes was predicted with ≤ 0.29°C of RMSE for 20 heating scenarios.

conclusionThe workflow successfully predicted the heating for different bilateral DBS trajectories and excitation patterns in an anthropomorphic head phantom.

Indexed as

Deep Brain StimulationHeatingElectrodesElectrodes, ImplantedHumansMagnetic Resonance ImagingPhantoms, ImagingRadio WavesWorkflowdeep brain stimulation safetyMRIradiofrequency heatingtemperature prediction

Identifiers

PMID38153187
PMCPMC10922480
OpenAlexW4390345727

What OpenQuestion holds

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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.