Evidence map›Paper›PMID 30216530›Full record

ArticleMagnetic resonance in medicine2019

Toward 7T breast MRI clinical study: safety assessment using simulation of heterogeneous breast models in RF exposure.

Xin Li, Joseph V Rispoli

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  3. Review
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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

2 authors.

Xin LiWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana.
Joseph V RispoliWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana.

Funding

Transgenic Mouse Core Facility Shared Resource (TMCF-SR)P30CA023168 · NCI · PURDUE UNIVERSITY WEST LAFAYETTE · PI Andrea L Kasinski · 1985 to 2026
$43.4M
Removable second-order trap for common-mode current suppression in multi-nuclear MRI cablingR03EB026231 · NIBIB · PURDUE UNIVERSITY · PI RISPOLI, JOSEPH V · 2018 to 2019
$143k
Internatl Conf.on the Future of Cognitive Aging ResearchR13AG026231 · NIA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI ALWIN, DUANE F · 2005 to 2005
$45k
National Institute of Biomedical Imaging and Bioengineering, The National Institutes of Health R03EB026231NCI NIH HHS P30 CA023168NIBIB NIH HHS R03 EB026231
6 · The paper itself

Abstract

purposeTo facilitate assessment of RF power deposition and temperature rise within the breast, we present a method to seamlessly join heterogeneous breast models with standard whole-body models and demonstrate simulations at 7 T.

methodsFinite-difference time-domain electromagnetic and bioheat simulations are performed to analyze the specific absorption rate (SAR) and temperature rise distributions in 36 Breast Imaging Reporting and Data System (BI-RADS) categorized breast models fused to 2 female whole-body models while transmitting from a 7T breast volume coil. The breast models are uncompressed in the prone position and feature heterogeneous tissue contents; fusion with human models uses affine transformation and the level-set method.

resultsThe fusion method produces a continuous transient from the chest region to the posterior portion of breast models while preserving the original volume and shape of breast models. Simulation results of both Ella and Hanako models indicate that the maximum local SAR, partial body SAR, and local tissue temperature rise are positively correlated with both breast density and the highest BI-RADS density classification. Additionally, maximum local tissue temperature rise is positively correlated with maximum 10-g SAR values.

conclusionFibroglandular tissue content plays an important role in the distribution of SAR and temperature rise within breast tissue. The combined body-breast models preserve the integrity of breast models while concurrently exhibiting the loading of whole-body human models. The procedures presented in this simulation study facilitate safety assessments for breast MRI across the population at both clinical and ultrahigh field strengths.

Indexed as

Magnetic Resonance ImagingPhantoms, ImagingAdolescentAdultAlgorithmsBreastComputer SimulationElectromagnetic RadiationFemaleFinite Element AnalysisHumansJapanPatient SafetyProne PositionRadio WavesTemperaturebreast densityFDTDhigh fieldsafetyspecific absorption ratetemperature rise

Identifiers

PMID30216530
PMCPMC6380517

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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.