Evidence map›Paper›PMID 32492249›Full record

ArticleMagnetic resonance in medicine2020

Conditional safety margins for less conservative peak local SAR assessment: A probabilistic approach.

Ettore Flavio Meliadò, Alessandro Sbrizzi, Cornelis A T van den Berg, Bart R Steensma, Peter R Luijten, Alexander J E Raaijmakers

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. 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

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Deep Learning and Its Application to Function Approximation for MR in Medicine: An Overview.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    Review
  4. Rigid motion-resolvedMagnetic resonance in medicine · 2022
    Article
  5. 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

6 authors.

Ettore Flavio MeliadòDepartment of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0003-1240-3141
Alessandro SbrizziDepartment of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Cornelis A T van den BergComputational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
Bart R SteensmaDepartment of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-4254-9937
Peter R LuijtenDepartment of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Alexander J E RaaijmakersDepartment of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe introduction of a linear safety factor to address peak local specific absorption rate (pSAR

methodsThe conditional probability density function can be estimated from previously simulated data. A representative set of true and estimated pSAR

resultsCompared with the more conventional safety factor, the conditional safety-margin approach results in lower (up to 30%) mean overestimation for all investigated local SAR estimation methods.

conclusionThe proposed probabilistic approach for pSAR

Indexed as

Magnetic Resonance ImagingProstateComputer SimulationDatabases, FactualHumansMaleparallel transmitsafety factorSAR model librarySAR model selectionspecific absorption ratesubject-specific local SAR assessment

Identifiers

PMID32492249
PMCPMC7540599

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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.