ArticleMagnetic resonance in medicine2026
Validating Numerical Simulations to Support Experimental Testing of MRI Gradient-Induced Heating of Passive Implants.
Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Evaluation of the additional occupational risk for workers with orthopedic implants in MRI settings.Annals of work exposures and health · 2026Article
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.
Funding
Abstract
purposeNumerical simulations can be adopted to aid the evaluation of the interaction between switched gradient fields and metallic implants and estimate the possible temperature increase. Anyway, an analysis of the consistency of their prediction with experiments is lacking, differently from what can be found for exposure to radiofrequency fields. The purpose of this work is to fill this gap.
methodsA systematic comparison between experiments and simulations was conducted, considering commercial metallic orthopedic implants. The complexity of the exposure scenario was gradually increased, starting from the conditions defined in the ISO/TS 10974:2018 standard and moving to more realistic exposure scenarios with sinusoidal or pulsed gradient fields.
resultsThe computational tools demonstrated an overall good capability in predicting the outcomes of the experimental tests, as long as numerical simulations are properly set up (building of the virtual model, discretization parameters, positioning/orientation of the object). The consistency between simulations and measurements is comparable with the one obtainable under radiofrequency exposure and decreases with exposure complexity.
conclusionThe results pave the way for the use of numerical simulations to support laboratory testing of passive implants heating under time-varying gradient fields.
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.