Evidence map›Paper›PMID 33852025›Full record

ArticlePediatric radiology2021

Contribution of computed tomography and magnetic resonance imaging in the analysis of fetal craniofacial malformations.

Catherine Garel, Saskia Vande Perre, Lucie Guilbaud, Véronique Soupre, Eléonore Blondiaux, Hubert Ducou le Pointe

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Pediatric radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Automated Craniofacial Biometry with 3D T2w Fetal MRI.medRxiv : the preprint server for health sciences · 2024
    Article
  3. 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

6 authors at 2 institutions in 2 countries.

Catherine GarelService de Radiologie, Hôpital d´Enfants Armand-Trousseau APHP, 26 Avenue du Dr Arnold Netter, 75012, Paris, France. catherine.garel@aphp.fr.ORCID http://orcid.org/0000-0003-1752-484X
Saskia Vande PerreService de Radiologie, Hôpital d´Enfants Armand-Trousseau APHP, 26 Avenue du Dr Arnold Netter, 75012, Paris, France.
Lucie GuilbaudService de Médecine Fœtale, Hôpital d´Enfants Armand-Trousseau APHP, Sorbonne Université, Paris, France.
Véronique SoupreService de Chirurgie Maxillo-faciale et Chirurgie Plastique, Hôpital Necker Enfants-Malades APHP, Paris, France.
Eléonore BlondiauxService de Radiologie, Hôpital d´Enfants Armand-Trousseau APHP, 26 Avenue du Dr Arnold Netter, 75012, Paris, France.
Hubert Ducou le PointeService de Radiologie, Hôpital d´Enfants Armand-Trousseau APHP, 26 Avenue du Dr Arnold Netter, 75012, Paris, France.
Sorbonne Université · FRHôpital Necker-Enfants Malades · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A wide range of craniofacial malformations can be diagnosed in utero using ultrasonography. However, even with highly experienced sonographers and diagnostic physicians and optimal conditions of examination, some anatomical structures cannot be properly analyzed by this technique. The aim of this pictorial essay is to show the additional value of fetal magnetic resonance imaging and computed tomography in this setting and to illustrate the role of these modalities in facial clefts; craniosynostosis; ear, eye and nose abnormalities; otomandibular dysplasias; and facial cephaloceles.

Indexed as

Craniofacial AbnormalitiesFaceFetusHumansMagnetic Resonance ImagingTomography, X-Ray ComputedCephaloceleComputed tomographyCraniofacialCraniosynostosisEyeFaceFetusMagnetic resonance imagingMalformationNoseOtomandibular dysplasia

Identifiers

PMID33852025
OpenAlexW3152983719

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.