Evidence map›Paper›PMID 33252760›Full record

ReviewPediatric radiology2020

Fetal magnetic resonance imaging: supratentorial brain malformations.

Jungwhan John Choi, Edward Yang, Janet S Soul, Camilo Jaimes

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. [Congenital brain malformations].Radiologie (Heidelberg, Germany) · 2024
    Article
  5. Review
  6. Review
  7. Fetal Neuroimaging Updates.Magnetic resonance imaging clinics of North America · 2021
    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

4 authors at 1 institution in 1 country.

Jungwhan John ChoiDepartment of Radiology, Boston Children's Hospital, 300 Longwood Ave., Boston, MA, 02115, USA.
Edward YangDepartment of Radiology, Boston Children's Hospital, 300 Longwood Ave., Boston, MA, 02115, USA.
Janet S SoulHarvard Medical School, Boston, MA, USA.
Camilo JaimesDepartment of Radiology, Boston Children's Hospital, 300 Longwood Ave., Boston, MA, 02115, USA. Camilo.JaimesCobos@childrens.harvard.edu.ORCID http://orcid.org/0000-0002-7169-4244
Boston Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fetal MRI is the modality of choice to study supratentorial brain malformations. To accurately interpret the MRI, the radiologist needs to understand the normal sequence of events that occurs during prenatal brain development; this includes familiarity with the processes of hemispheric cleavage, formation of interhemispheric commissures, neuro-glial proliferation and migration, and cortical folding. Disruption of these processes results in malformations observed on fetal MRI including holoprosencephaly, callosal agenesis, heterotopic gray matter, lissencephaly and other malformations of cortical development (focal cortical dysplasia, polymicrogyria). The radiologist should also be familiar with findings that have high association with specific conditions affecting the central nervous system or other organ systems. This review summarizes and illustrates common patterns of supratentorial brain malformations and emphasizes aspects that are important to patient care.

Indexed as

Malformations of Cortical DevelopmentNervous System MalformationsBrainFemaleFetusGray MatterHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyPregnancyBrainCerebrumCongenitalFetusMagnetic resonance imagingMalformationSupratentorial

Identifiers

PMID33252760
OpenAlexW3107166699

What OpenQuestion holds

Textmetadata
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.