Evidence map›Paper›PMID 31592991›Full record

ReviewTopics in magnetic resonance imaging : TMRI2019

Fetal Echoplanar Imaging: Promises and Challenges.

Onur Afacan, Judy A Estroff, Edward Yang, Carol E Barnewolt, Susan A Connolly, Richard B Parad, Robert V Mulkern, Simon K Warfield, Ali Gholipour

Abstract readReview
In one paragraph

Review in Topics in magnetic resonance imaging : TMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Rapid, high-resolution and distortion-freeMagnetic resonance in medicine · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Advanced Framework for Fetal Diffusion MRI: Dynamic Distortion and Motion Correction.Perinatal, preterm and paediatric image analysis : 9th international workshop, PIPPI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, proceedings · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Fetal Neuroimaging Updates.Magnetic resonance imaging clinics of North America · 2021
    Review
  15. Review
  16. 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

9 authors.

Onur AfacanDepartment of Radiology, Boston Children's Hospital, Boston, MA.
Judy A EstroffDepartment of Radiology, Boston Children's Hospital, Boston, MA.
Edward YangDepartment of Radiology, Boston Children's Hospital, Boston, MA.
Carol E BarnewoltDepartment of Radiology, Boston Children's Hospital, Boston, MA.
Susan A ConnollyDepartment of Radiology, Boston Children's Hospital, Boston, MA.
Richard B ParadAdvanced Fetal Care Center, Boston Children's Hospital, Boston, MA.
Robert V MulkernDepartment of Radiology, Boston Children's Hospital, Boston, MA.
Simon K WarfieldDepartment of Radiology, Boston Children's Hospital, Boston, MA.
Ali GholipourDepartment of Radiology, Boston Children's Hospital, Boston, MA.

Funding

Improved Motion Robust MRI of ChildrenR01EB019483 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2015 to 2024
$3.9M
MRI Biomarkers of Patients with Tuberous Sclerosis Complex and AutismR01NS079788 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2013 to 2017
$3.6M
Advancing Microstructural and Vascular Neuroimaging in Perinatal StrokeR01NS106030 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2019 to 2023
$1.7M
Motion-robust super-resolution diffusion weighted MRI of early brain developmentR01EB018988 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI GHOLIPOUR-BABOLI, ALI · 2014 to 2017
$1.6M
Improved Quantitative Assessment of the Fetal Brain from 3D Volumetric MRIR01EB013248 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2012 to 2015
$1.5M
Super-resolution Reconstruction of Fetal Craniofacial MRIR03DE022109 · NIDCR · BOSTON CHILDREN'S HOSPITAL · PI GHOLIPOUR-BABOLI, ALI · 2011 to 2012
$261k
NIBIB NIH HHS R01 EB013248NIBIB NIH HHS R01 EB018988NIBIB NIH HHS R01 EB019483NIDCR NIH HHS R03 DE022109NINDS NIH HHS R01 NS079788NINDS NIH HHS R01 NS106030
6 · The paper itself

Abstract

Fetal magnetic resonance imaging (MRI) has been gaining increasing interest in both clinical radiology and research. Echoplanar imaging (EPI) offers a unique potential, as it can be used to acquire images very fast. It can be used to freeze motion, or to get multiple images with various contrast mechanisms that allow studying the microstructure and function of the fetal brain and body organs. In this article, we discuss the current clinical and research applications of fetal EPI. This includes T2*-weighted imaging to better identify blood products and vessels, using diffusion-weighted MRI to investigate connections of the developing brain and using functional MRI (fMRI) to identify the functional networks of the developing brain. EPI can also be used as an alternative structural sequence when banding or standing wave artifacts adversely affect the mainstream sequences used routinely in structural fetal MRI. We also discuss the challenges with EPI acquisitions, and potential solutions. As EPI acquisitions are inherently sensitive to susceptibility artifacts, geometric distortions limit the use of high-resolution EPI acquisitions. Also, interslice motion and transmit and receive field inhomogeneities may create significant artifacts in fetal EPI. We conclude by discussing promising research directions to overcome these challenges to improve the use of EPI in clinical and research applications.

Indexed as

BrainDiffusion Magnetic Resonance ImagingEcho-Planar ImagingFetal DiseasesHumansLung

Identifiers

PMID31592991
PMCPMC6788763

What OpenQuestion holds

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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.