Evidence map›Paper›PMID 35344605›Full record

ArticleMagnetic resonance in medicine2022

A contribution to MRI safety testing related to gradient-induced heating of medical devices.

Alessandro Arduino, Oriano Bottauscio, Mario Chiampi, Umberto Zanovello, Luca Zilberti

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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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

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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.

Alessandro ArduinoIstituto Nazionale di Ricerca Metrologica (INRIM), Torino, Italy.ORCID 0000-0002-4829-5130
Oriano BottauscioIstituto Nazionale di Ricerca Metrologica (INRIM), Torino, Italy.ORCID 0000-0002-5437-4396
Mario ChiampiIstituto Nazionale di Ricerca Metrologica (INRIM), Torino, Italy.ORCID 0000-0003-0049-3792
Umberto ZanovelloIstituto Nazionale di Ricerca Metrologica (INRIM), Torino, Italy.ORCID 0000-0001-6415-9967
Luca ZilbertiIstituto Nazionale di Ricerca Metrologica (INRIM), Torino, Italy.ORCID 0000-0002-2382-4710

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo theoretically investigate the feasibility of a novel procedure for testing the MRI gradient-induced heating of medical devices and translating the results into clinical practice.

methodsThe concept of index of stress is introduced by decoupling the time waveform characteristics of the gradient field signals from the field spatial distribution within an MRI scanner. This index is also extended to consider the anisotropy of complex bulky metallic implants. Merits and drawbacks of the proposed index of stress are investigated through virtual experiments. In particular, the values of the index of stress evaluated for realistic orthopedic implants placed within an ASTM phantom are compared with accurate heating simulations performed with 2 anatomic body models (a man and a woman) implanted through a virtual surgery procedure.

resultsThe manipulation of the proposed index of stress allows to identify regions within the MRI bore where the implant could affect the safety of the examinations. Furthermore, the conducted analysis shows that the power dissipated into the implant by the induced eddy currents is a dosimetric quantity that estimates well the maximum temperature increase in the tissues surrounding the implant.

conclusionThe results support the adoption of an anisotropic index of stress to regulate the gradient-induced heating of geometrically complex implants. They also pave the way for a laboratory characterization of the implants based on electrical measurements, rather than on thermal measurements. The next step will be to set up a standardized experimental procedure to evaluate the index of stress associated with an implant.

Indexed as

HeatingHot TemperatureFemaleHumansMagnetic Resonance ImagingPhantoms, ImagingProstheses and ImplantsRadio Wavesgradient coil heatingmedical devicesMRI safetynumerical simulation

Identifiers

PMID35344605
PMCPMC9314691

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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.