Literature DB >> 3168267

Patterns of dysmorphology in Crouzon syndrome: an anthropometric study.

J C Kolar1, I R Munro, L G Farkas.   

Abstract

Twenty-four craniofacial proportion indices were calculated from 26 surface measurements taken directly from the head and face in 61 patients with Crouzon syndrome, aged 11 days to 32 years. All patients were North American caucasians who had not undergone facial repair. The measurements and proportions were compared with those in healthy controls of the same age and sex. In most patients, the only disproportions present were a wide forehead in relation to the cranial breadth and wide orbital region compared with the face width. The proportions were in the normal range in most cases (71.7%), although many tended toward its extremities. Disproportions were associated most frequently with a combination of abnormal and normal measurements (48.9%); however, a large number (42.4%) involved two normal measurements. Among the normal proportions, most involved two normal measurements, although almost one fourth (22.8%) were associated with one or two abnormal measurements.

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Mesh:

Year:  1988        PMID: 3168267

Source DB:  PubMed          Journal:  Cleft Palate J        ISSN: 0009-8701


  4 in total

1.  Quantitative assessment of craniofacial morphology in Johanson-Blizzard syndrome.

Authors:  Curtis K Deutsch; Tania Hreczko; Lewis B Holmes
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2013-03-06

Review 2.  Syndromic Craniosynostosis: Complexities of Clinical Care.

Authors:  Justine O'Hara; Federica Ruggiero; Louise Wilson; Greg James; Graeme Glass; Owase Jeelani; Juling Ong; Richard Bowman; Michelle Wyatt; Robert Evans; Martin Samuels; Richard Hayward; David J Dunaway
Journal:  Mol Syndromol       Date:  2019-01-16

3.  Head circumference - a useful single parameter for skull volume development in cranial growth analysis?

Authors:  Markus Martini; Anne Klausing; Guido Lüchters; Nils Heim; Martina Messing-Jünger
Journal:  Head Face Med       Date:  2018-01-10       Impact factor: 2.151

4.  Automated craniofacial landmarks detection on 3D image using geometry characteristics information.

Authors:  Arpah Abu; Chee Guan Ngo; Nur Idayu Adira Abu-Hassan; Siti Adibah Othman
Journal:  BMC Bioinformatics       Date:  2019-02-04       Impact factor: 3.169

  4 in total

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