Evidence map›Paper›PMID 31626373›Full record

ArticleMagnetic resonance in medicine2020

Individual variation in simulated fetal SAR assessed in multiple body models.

Esra Abaci Turk, Filiz Yetisir, Elfar Adalsteinsson, Borjan Gagoski, Bastien Guerin, P Ellen Grant, Lawrence L Wald

Open access · bronzeAbstract 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Fetal MRI: Radiofrequency Safety Assessment at 3 Tesla.Journal of magnetic resonance imaging : JMRI · 2025
    Article
  3. Article
  4. Article
  5. MARIE 2.0: A Perturbation Matrix Based Patient-Specific MRI Field Simulator.IEEE transactions on bio-medical engineering · 2023
    Article
  6. Fetal MRI at 3 T: Principles to Optimize Success.Radiographics : a review publication of the Radiological Society of North America, Inc · 2023
    Article
  7. Article
  8. Article
  9. Fetal Neuroimaging Updates.Magnetic resonance imaging clinics of North America · 2021
    Review
  10. Article
  11. Review
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

7 authors at 3 institutions in 1 country.

Esra Abaci TurkFetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts.ORCID 0000-0003-0246-8793
Filiz YetisirFetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts.
Elfar AdalsteinssonDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Borjan GagoskiFetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts.
Bastien GuerinAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.ORCID 0000-0002-4746-0886
P Ellen GrantFetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts.
Lawrence L WaldHarvard-MIT Division of Health Sciences and Technology, Cambridge, Massachusetts.
Boston Children's Hospital · USHarvard University · USHarvard–MIT Division of Health Sciences and Technology · US

Funding

Advanced Fetal ImagingR01EB017337 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI ADALSTEINSSON, ELFAR, GRANT, PATRICIA ELLEN · 2014 to 2018
$6.2M
Noninvasive Realtime Assessment of Placental Structure and Function with Novel MR Imaging MethodsU01HD087211 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI GRANT, PATRICIA ELLEN, WALD, LAWRENCE L · 2015 to 2015
$4.9M
NIBIB NIH HHS R01 EB017337NICHD NIH HHS U01 HD087211
6 · The paper itself

Abstract

purposeWe generate 12 models from 4 pregnant individuals to evaluate individual differences in local specific absorption rate (SAR) for differing body habitus and fetal and maternal positions.

methodsStructural MR images from 4 pregnant subjects (including supine and left-lateral maternal positions) were manually segmented to create 12 body models by rotating the fetus, modifying the fat content, and altering the maternal arm position in 1 of the subjects. Electromagnetic simulations modeled at 3 Tesla determined the average and peak local SAR in the maternal trunk, fetus, fetal brain, and amniotic fluid.

resultsWe observed a significant range of fetal and maternal peak local SAR across the models (maternal trunk: 19.14-44.03 watts/kg, fetus: 9.93-18.79 watts/kg, fetal brain 3.36-10.3 watts/kg). We found that maternal body habitus changes introduced a significant variation in the maternal peak local SAR but not the fetal local SAR. However, the maternal position (either rotating the mother to left-lateral position or altering the arm position) introduced changes in fetal peak local SAR (range: 11.9-17.9 watts/kg). Rotating the fetus also introduced variation in the fetal and fetal brain peak local SAR.

conclusionThe observed variation in SAR emphasizes the need for more anatomical models to enable better safety management of individuals during fetal MRI, including a wider range of gestational ages.

Indexed as

FetusMagnetic Resonance ImagingFemaleGestational AgeHumansModels, AnatomicPregnancyfetusMRI safetypregnant body modelsSAR

Identifiers

PMID31626373
PMCPMC6949376
OpenAlexW2981214266

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.