Evidence map›Paper›PMID 34931857›Full record

ArticleRadiology2022

Normal Growth, Sexual Dimorphism, and Lateral Asymmetries at Fetal Brain MRI.

Fedel Machado-Rivas, Jasmine Gandhi, Jungwhan John Choi, Clemente Velasco-Annis, Onur Afacan, Simon K Warfield, Ali Gholipour, Camilo Jaimes

Open access · greenAbstract read
In one paragraph

Article in Radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
12.7field-weighted citation impact, top 1% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. MRI-based spatio-temporal atlas of ganglionic eminence.European radiology experimental · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Advances in Fetal Brain Imaging.Magnetic resonance imaging clinics of North America · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Fetal Brain Growth in the Early Second Trimester.AJNR. American journal of neuroradiology · 2023
    Observational
  18. Article
  19. Sexual dimorphism of the fetal brain biometry: an MRI-based study.Archives of gynecology and obstetrics · 2023
    Article
  20. BOUNTI: Brain vOlumetry and aUtomated parcellatioN for 3D feTal MRI.bioRxiv : the preprint server for biology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Fedel Machado-RivasFrom the Department of Radiology, Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115 (F.M.R., J.G., J.J.C., C.V.A., O.A., S.K.W., A.G., C.J.); and Department of Radiology, Harvard Medical School, Boston, Mass (F.M.R., J.G., J.J.C., O.A., S.K.W., A.G., C.J.).ORCID 0000-0003-3095-414X
Jasmine GandhiFrom the Department of Radiology, Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115 (F.M.R., J.G., J.J.C., C.V.A., O.A., S.K.W., A.G., C.J.); and Department of Radiology, Harvard Medical School, Boston, Mass (F.M.R., J.G., J.J.C., O.A., S.K.W., A.G., C.J.).
Jungwhan John ChoiFrom the Department of Radiology, Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115 (F.M.R., J.G., J.J.C., C.V.A., O.A., S.K.W., A.G., C.J.); and Department of Radiology, Harvard Medical School, Boston, Mass (F.M.R., J.G., J.J.C., O.A., S.K.W., A.G., C.J.).
Clemente Velasco-AnnisFrom the Department of Radiology, Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115 (F.M.R., J.G., J.J.C., C.V.A., O.A., S.K.W., A.G., C.J.); and Department of Radiology, Harvard Medical School, Boston, Mass (F.M.R., J.G., J.J.C., O.A., S.K.W., A.G., C.J.).ORCID 0000-0002-7176-3852
Onur AfacanFrom the Department of Radiology, Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115 (F.M.R., J.G., J.J.C., C.V.A., O.A., S.K.W., A.G., C.J.); and Department of Radiology, Harvard Medical School, Boston, Mass (F.M.R., J.G., J.J.C., O.A., S.K.W., A.G., C.J.).ORCID 0000-0003-2112-3205
Simon K WarfieldFrom the Department of Radiology, Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115 (F.M.R., J.G., J.J.C., C.V.A., O.A., S.K.W., A.G., C.J.); and Department of Radiology, Harvard Medical School, Boston, Mass (F.M.R., J.G., J.J.C., O.A., S.K.W., A.G., C.J.).ORCID 0000-0002-7659-3880
Ali GholipourFrom the Department of Radiology, Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115 (F.M.R., J.G., J.J.C., C.V.A., O.A., S.K.W., A.G., C.J.); and Department of Radiology, Harvard Medical School, Boston, Mass (F.M.R., J.G., J.J.C., O.A., S.K.W., A.G., C.J.).ORCID 0000-0001-7699-4564
Camilo JaimesFrom the Department of Radiology, Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115 (F.M.R., J.G., J.J.C., C.V.A., O.A., S.K.W., A.G., C.J.); and Department of Radiology, Harvard Medical School, Boston, Mass (F.M.R., J.G., J.J.C., O.A., S.K.W., A.G., C.J.).
Boston Children's Hospital · US

Funding

Genetic Analysis and Manipulation Core (GAEC)P50HD105351 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI Hisashi Umemori · 2021 to 2026
$9.4M
Next-generation in-vivo fetal neuroimagingR01EB031849 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI GHOLIPOUR-BABOLI, ALI · 2021 to 2024
$2.2M
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 EB031849NICHD NIH HHS P50 HD105351NIDCR NIH HHS R03 DE022109NINDS NIH HHS R01 NS106030
6 · The paper itself

Abstract

Background Tools in image reconstruction, motion correction, and segmentation have enabled the accurate volumetric characterization of fetal brain growth at MRI. Purpose To evaluate the volumetric growth of intracranial structures in healthy fetuses, accounting for gestational age (GA), sex, and laterality with use of a spatiotemporal MRI atlas of fetal brain development. Materials and Methods T2-weighted 3.0-T half-Fourier acquired single-shot turbo spin-echo sequence MRI was performed in healthy fetuses from prospectively recruited pregnant volunteers from March 2013 to May 2019. A previously validated section-to-volume reconstruction algorithm was used to generate intensity-normalized superresolution three-dimensional volumes that were registered to a fetal brain MRI atlas with 28 anatomic regions of interest. Atlas-based segmentation was performed and manually refined. Labels included the bilateral hippocampus, amygdala, caudate nucleus, lentiform nucleus, thalamus, lateral ventricle, cerebellum, cortical plate, hemispheric white matter, internal capsule, ganglionic eminence, ventricular zone, corpus callosum, brainstem, hippocampal commissure, and extra-axial cerebrospinal fluid. For fetuses younger than 31 weeks of GA, the subplate and intermediate zones were delineated. A linear regression analysis was used to determine weekly age-related change adjusted for sex and laterality. Results The final analytic sample consisted of 122 MRI scans in 98 fetuses (mean GA, 29 weeks ± 5 [range, 20-38 weeks]). All structures had significant volume growth with increasing GA (

Indexed as

Magnetic Resonance ImagingSex CharacteristicsBrainFemaleFetusHumansMaleNeuroimagingPregnancy

Identifiers

PMID34931857
PMCPMC8962825
OpenAlexW4200123143

What OpenQuestion holds

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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.