Evidence map›Paper›PMID 38762603›Full record

ArticleOrphanet journal of rare diseases2024

New diagnostic criteria for metopic ridges and trigonocephaly: a 3D geometric approach.

Kevin Bloch, Maya Geoffroy, Maxime Taverne, Lara van de Lande, Eimear O'Sullivan, Ce Liang, Giovanna Paternoster, Mehran Moazen, Sébastien Laporte, Roman Hossein Khonsari

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Kevin BlochService de chirurgie maxillofaciale et chirurgie plastique, Hôpital Necker - Enfants malades, Assistance Publique - Hôpitaux de Paris, CRMR CRANIOST, Faculté de Médecine, Université Paris Cité, Paris, France.
Maya GeoffroyInstitut de Biomécanique Humaine Georges Charpak, Arts et Métiers Institute of Technology, Paris, France.
Maxime TaverneLaboratoire 'Forme et Croissance du Crâne', Hôpital Necker - Enfants malades, Assistance Publique - Hôpitaux de Paris, Paris, France.
Lara van de LandeCraniofacial Unit, Great Ormond Street Hospital for Children; UCL Great Ormond Street Institute of Child Health, London, UK.
Eimear O'SullivanDepartment of Computing, Imperial College London, London, UK.
Ce LiangDepartment of Mechanical Engineering, University College London, London, UK.
Giovanna PaternosterService de Neurochirurgie, Hôpital Necker - Enfants malades, Assistance Publique - Hôpitaux de Paris, CRMR CRANIOST, Paris, France.
Mehran MoazenDepartment of Mechanical Engineering, University College London, London, UK.
Sébastien LaporteInstitut de Biomécanique Humaine Georges Charpak, Arts et Métiers Institute of Technology, Paris, France.
Roman Hossein KhonsariService de chirurgie maxillofaciale et chirurgie plastique, Hôpital Necker - Enfants malades, Assistance Publique - Hôpitaux de Paris, CRMR CRANIOST, Faculté de Médecine, Université Paris Cité, Paris, France. roman.khonsari@aphp.fr.ORCID 0000-0002-0649-1432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTrigonocephaly occurs due to the premature fusion of the metopic suture, leading to a triangular forehead and hypotelorism. This condition often requires surgical correction for morphological and functional indications. Metopic ridges also originate from premature metopic closure but are only associated with mid-frontal bulging; their surgical correction is rarely required. Differential diagnosis between these two conditions can be challenging, especially in minor trigonocephaly.

methodsTwo hundred seven scans of patients with trigonocephaly (90), metopic rigdes (27), and controls (90) were collected. Geometric morphometrics were used to quantify skull and orbital morphology as well as the interfrontal angle and the cephalic index. An innovative method was developed to automatically compute the frontal curvature along the metopic suture. Different machine-learning algorithms were tested to assess the predictive power of morphological data in terms of classification.

resultsWe showed that control patients, trigonocephaly and metopic rigdes have distinctive skull and orbital shapes. The 3D frontal curvature enabled a clear discrimination between groups (sensitivity and specificity > 92%). Furthermore, we reached an accuracy of 100% in group discrimination when combining 6 univariate measures.

conclusionTwo diagnostic tools were proposed and demonstrated to be successful in assisting differential diagnosis for patients with trigonocephaly or metopic ridges. Further clinical assessments are required to validate the practical clinical relevance of these tools.

Indexed as

CraniosynostosesFemaleHumansImaging, Three-DimensionalInfantMaleSkullArtificial intelligenceCraniosynostosisDiagnostic toolGeometric morphometricsMorphometry

Identifiers

PMID38762603
PMCPMC11102612

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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.