ArticleMagnetic resonance in medicine2022
A workflow for predicting temperature increase at the electrical contacts of deep brain stimulation electrodes undergoing MRI.
Article in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Implant-friendly MRI of deep brain stimulation patients at 3T.NeuroImage · 2026Article
- Technical considerations of functional MRI in deep brain stimulation: recent advances and future perspectives.NeuroImage · 2026Review
- Read My Leads: Subject-Specific RF Hazard Assessment and Mitigation for DBS Implants in MRI.Magnetic resonance in medicine · 2026Article
- Assessing radiofrequency safety of active implants by measuring induced radiofrequency currents using MRI.Magnetic resonance in medicine · 2026Article
- Reduction of RF Heating Near Bilateral Deep Brain Stimulation Leads Using Two-Channel RF Shimming at 3T.NMR in biomedicine · 2025Article
- On the RF safety of titanium mesh head implants in 7 T MRI systems: an investigation.Magnetic resonance in medicine · 2025Article
- Feasibility of using toroidal transceivers for acquiring intraoperative MR images around deep brain stimulation electrodes.NeuroImage · 2024Article
- A workflow for predicting radiofrequency-induced heating around bilateral deep brain stimulation electrodes in MRI.Medical physics · 2024Article
- Implant-friendly MRI of deep brain stimulation electrodes at 7 T.Magnetic resonance in medicine · 2023Article
- A workflow for predicting temperature increase at the electrical contacts of deep brain stimulation electrodes undergoing MRI.Magnetic resonance in medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
purposeThe purpose of this study is to present a workflow for predicting the radiofrequency (RF) heating around the contacts of a deep brain stimulation (DBS) lead during an MRI scan.
methodsThe induced RF current on the DBS lead accumulates electric charge on the metallic contacts, which may cause a high local specific absorption rate (SAR), and therefore, heating. The accumulated charge was modeled by imposing a voltage boundary condition on the contacts in a quasi-static electromagnetic (EM) simulation allowing thermal simulations to be performed with the resulting SAR distributions. Estimating SAR and temperature increases from a lead in vivo through EM simulation is not practical given anatomic differences and variations in lead geometry. To overcome this limitation, a new parameter, transimpedance, was defined to characterize a given lead. By combining the transimpedance, which can be measured in a single calibration scan, along with MR-based current measurements of the lead in a unique orientation and anatomy, local heating can be estimated. Heating determined with this approach was compared with results from heating studies of a commercial DBS electrode in a gel phantom with different lead configurations to validate the proposed method.
resultsUsing data from a single calibration experiment, the transimpedance of a commercial DBS electrode (directional lead, Infinity DBS system, Abbott Laboratories, Chicago, IL) was determined to be 88 Ω. Heating predictions using the DBS transimpedance and rapidly acquired MR-based current measurements in 26 different lead configurations resulted in a <23% (on average 11.3%) normalized root-mean-square error compared to experimental heating measurements during RF scans.
conclusionIn this study, a workflow consisting of an MR-based current measurement on the DBS lead and simple quasi-static EM/thermal simulations to predict the temperature increase around a DBS electrode undergoing an MRI scan is proposed and validated using a commercial DBS electrode.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.