Literature DB >> 9672839

Preoperative morphology and development in sagittal synostosis.

J T Richtsmeier1, T M Cole, G Krovitz, C J Valeri, S Lele.   

Abstract

The goal of this study is to characterize the differences between normal cranial morphology and that of patients diagnosed with isolated sagittal synostosis, using three-dimensional (3D) landmark coordinate data collected from computed tomography (CT) scans. This retrospective study uses pre-operative CT images of a sample of children diagnosed with isolated sagittal synostosis (N = 23) and of dry skulls of unaffected children (N = 10). In order to be included in the study, patients had to have a confirmed diagnosis of sagittal synostosis and a pre-operative CT scan of acceptable quality available in digital format. Separation of normal and synostosed individuals on the basis of craniofacial morphology was achieved by applying a principal coordinates analysis to a dissimilarity matrix calculated from the landmark coordinate data. Direct comparison of age-graded samples of normal and synostosed individuals using Euclidean Distance Matrix Analysis enabled localization of the morphological differences between samples. This method was also used to characterize growth patterns of the two samples using cross-sectional data. The parietal bosses were found to be the features that were most influential in separating sagittal synostosis patients from their age-matched normal counterparts. A cross-sectional analysis of growth showed that the specifics of the growth differences between normal and sagittal synostosis individuals changed with the age interval considered. We present direct evidence that the parietal bosses are critical in the differentiation of normal and sagittal synostosis morphology, and indirect evidence of the possible role of the parietal tubers in the etiology of sagittal synostosis.

Entities:  

Mesh:

Year:  1998        PMID: 9672839

Source DB:  PubMed          Journal:  J Craniofac Genet Dev Biol        ISSN: 0270-4145


  11 in total

1.  Anthropometric changes in the skull base in children with sagittal craniosynostosis submitted to surgical correction.

Authors:  Jose Erasmo Dal'Col Lucio; Hamilton Matushita
Journal:  Childs Nerv Syst       Date:  2021-01-15       Impact factor: 1.475

2.  Measurement error of 3D cranial landmarks of an ontogenetic sample using Computed Tomography.

Authors:  Jimena Barbeito-Andrés; Marisol Anzelmo; Fernando Ventrice; Marina L Sardi
Journal:  J Oral Biol Craniofac Res       Date:  2012-06-18

3.  [A method for constructing three-dimensional face symmetry reference plane based on weighted shape analysis algorithm].

Authors:  Y J Zhu; Y J Zhao; S W Zheng; A N Wen; X L Fu; Y Wang
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2020-12-18

4.  Patterns of differences in brain morphology in humans as compared to extant apes.

Authors:  Kristina Aldridge
Journal:  J Hum Evol       Date:  2010-11-05       Impact factor: 3.895

5.  The Influence of trisomy 21 on facial form and variability.

Authors:  John M Starbuck; Theodore M Cole; Roger H Reeves; Joan T Richtsmeier
Journal:  Am J Med Genet A       Date:  2017-09-21       Impact factor: 2.802

6.  Overlapping trisomies for human chromosome 21 orthologs produce similar effects on skull and brain morphology of Dp(16)1Yey and Ts65Dn mice.

Authors:  John M Starbuck; Tara Dutka; Tabetha S Ratliff; Roger H Reeves; Joan T Richtsmeier
Journal:  Am J Med Genet A       Date:  2014-05-01       Impact factor: 2.802

7.  Central nervous system phenotypes in craniosynostosis.

Authors:  Kristina Aldridge; Jeffrey L Marsh; Daniel Govier; Joan T Richtsmeier
Journal:  J Anat       Date:  2002-07       Impact factor: 2.610

8.  Postnatal brain and skull growth in an Apert syndrome mouse model.

Authors:  Cheryl A Hill; Neus Martínez-Abadías; Susan M Motch; Jordan R Austin; Yingli Wang; Ethylin Wang Jabs; Joan T Richtsmeier; Kristina Aldridge
Journal:  Am J Med Genet A       Date:  2013-03-12       Impact factor: 2.802

9.  Morphological integration of the skull in craniofacial anomalies.

Authors:  J T Richtsmeier; V B Deleon
Journal:  Orthod Craniofac Res       Date:  2009-08       Impact factor: 1.826

10.  Brain phenotypes in two FGFR2 mouse models for Apert syndrome.

Authors:  Kristina Aldridge; Cheryl A Hill; Jordan R Austin; Christopher Percival; Neus Martinez-Abadias; Thomas Neuberger; Yingli Wang; Ethylin Wang Jabs; Joan T Richtsmeier
Journal:  Dev Dyn       Date:  2010-03       Impact factor: 3.780

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