Evidence map›Paper›PMID 29053449›Full record

ArticleIEEE transactions on medical imaging2018

Thermo-Acoustic Ultrasound for Detection of RF-Induced Device Lead Heating in MRI.

Neerav Dixit, Pascal P Stang, John M Pauly, Greig C Scott

Abstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 3.0 T magnetic resonance imaging scanning on different body regions in patients with pacemakers.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2021
    Article
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

4 authors.

Neerav Dixit
Pascal P Stang
John M Pauly
Greig C Scott

Funding

MRI Methods for Guiding Focused Ultrasound in the BrainP01CA159992 · NCI · STANFORD UNIVERSITY · PI PAULY, JOHN M. · 2011 to 2015
$8.2M
MRI Technology For Enhanced Radio Frequency SafetyR01EB008108 · NIBIB · STANFORD UNIVERSITY · PI PAULY, JOHN M. · 2007 to 2014
$3.1M
NCI NIH HHS P01 CA159992NIBIB NIH HHS R01 EB008108
6 · The paper itself

Abstract

Patients who have implanted medical devices with long conductive leads are often restricted from receiving MRI scans due to the danger of RF-induced heating near the lead tips. Phantom studies have shown that this heating varies significantly on a case-by-case basis, indicating that many patients with implanted devices can receive clinically useful MRI scans without harm. However, the difficulty of predicting RF-induced lead tip heating prior to scanning prevents numerous implant recipients from being scanned. Here, we demonstrate that thermo-acoustic ultrasound (TAUS) has the potential to be utilized for a pre-scan procedure assessing the risk of RF-induced lead tip heating in MRI. A system was developed to detect TAUS signals by four different TAUS acquisition methods. We then integrated this system with an MRI scanner and detected a peak in RF power absorption near the tip of a model lead when transmitting from the scanner's body coil. We also developed and experimentally validated simulations to characterize the thermo-acoustic signal generated near lead tips. These results indicate that TAUS is a promising method for assessing RF implant safety, and with further development, a TAUS pre-scan could allow many more patients to have access to MRI scans of significant clinical value.

Indexed as

Computer SimulationEquipment DesignHot TemperatureHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingPatient SafetyPhantoms, ImagingProstheses and ImplantsRadio WavesSignal Processing, Computer-AssistedThermographyUltrasonography

Identifiers

PMID29053449
PMCPMC5942199

What OpenQuestion holds

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Registered trials

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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.