Midface hypoplasia in syndromic craniosynostosis: predicting craniofacial growth via a novel regression model from anatomical morphometric analysis

Midface hypoplasia in syndromic craniosynostosis (SC) may lead to serious respiratory issues. The aim of this study was to analyse the morphometric correlation between midface and cranial base parameters in paediatric SC patients in order to formulate predictive regression models. The computed tomog...

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Main Authors: Hariri, Firdaus, Malek, R. A., Abdullah, Norli Anida, Hassan, Siti Fatimah
Format: Article
Published: Elsevier 2024
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Online Access:http://eprints.um.edu.my/45559/
https://doi.org/10.1016/j.ijom.2023.08.009
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Institution: Universiti Malaya
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spelling my.um.eprints.455592024-10-29T06:52:13Z http://eprints.um.edu.my/45559/ Midface hypoplasia in syndromic craniosynostosis: predicting craniofacial growth via a novel regression model from anatomical morphometric analysis Hariri, Firdaus Malek, R. A. Abdullah, Norli Anida Hassan, Siti Fatimah RK Dentistry Midface hypoplasia in syndromic craniosynostosis (SC) may lead to serious respiratory issues. The aim of this study was to analyse the morphometric correlation between midface and cranial base parameters in paediatric SC patients in order to formulate predictive regression models. The computed tomography scans of 18 SC patients and 20 control were imported into Materialise Mimics Medical version 21.0 software for the measurement of multiple craniofacial landmarks and correlation analysis. The results showed a strong correlation of anterior cranial base (SN), posterior cranial base (SBa), and total cranial base (NBa) (r = 0.935) to maxilla length and width (ZMR-ZML) (r = 0.864). The model of NBa = - 1.554 + 1.021(SN) + 0.753(SBa) with R2 = 0.875 is proposed to demonstrate the development of the cranial base that causes a certain degree of midface hypoplasia in SC patients. The formula is supported using a prediction model of ZMR-ZML = 5.762 + 0.920(NBa), with R2 = 0.746. The mean absolute difference and standard deviation between the predicted and true NBa and ZMR-ZML were 2.08 +/- 1.50 mm and 3.11 +/- 2.32 mm, respectively. The skeletal growth estimation models provide valuable foundation for further analysis and potential clinical application. Elsevier 2024-04 Article PeerReviewed Hariri, Firdaus and Malek, R. A. and Abdullah, Norli Anida and Hassan, Siti Fatimah (2024) Midface hypoplasia in syndromic craniosynostosis: predicting craniofacial growth via a novel regression model from anatomical morphometric analysis. International Journal of Oral and Maxillofacial Surgery, 53 (4). pp. 293-300. ISSN 0901-5027, DOI https://doi.org/10.1016/j.ijom.2023.08.009 <https://doi.org/10.1016/j.ijom.2023.08.009>. https://doi.org/10.1016/j.ijom.2023.08.009 10.1016/j.ijom.2023.08.009
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic RK Dentistry
spellingShingle RK Dentistry
Hariri, Firdaus
Malek, R. A.
Abdullah, Norli Anida
Hassan, Siti Fatimah
Midface hypoplasia in syndromic craniosynostosis: predicting craniofacial growth via a novel regression model from anatomical morphometric analysis
description Midface hypoplasia in syndromic craniosynostosis (SC) may lead to serious respiratory issues. The aim of this study was to analyse the morphometric correlation between midface and cranial base parameters in paediatric SC patients in order to formulate predictive regression models. The computed tomography scans of 18 SC patients and 20 control were imported into Materialise Mimics Medical version 21.0 software for the measurement of multiple craniofacial landmarks and correlation analysis. The results showed a strong correlation of anterior cranial base (SN), posterior cranial base (SBa), and total cranial base (NBa) (r = 0.935) to maxilla length and width (ZMR-ZML) (r = 0.864). The model of NBa = - 1.554 + 1.021(SN) + 0.753(SBa) with R2 = 0.875 is proposed to demonstrate the development of the cranial base that causes a certain degree of midface hypoplasia in SC patients. The formula is supported using a prediction model of ZMR-ZML = 5.762 + 0.920(NBa), with R2 = 0.746. The mean absolute difference and standard deviation between the predicted and true NBa and ZMR-ZML were 2.08 +/- 1.50 mm and 3.11 +/- 2.32 mm, respectively. The skeletal growth estimation models provide valuable foundation for further analysis and potential clinical application.
format Article
author Hariri, Firdaus
Malek, R. A.
Abdullah, Norli Anida
Hassan, Siti Fatimah
author_facet Hariri, Firdaus
Malek, R. A.
Abdullah, Norli Anida
Hassan, Siti Fatimah
author_sort Hariri, Firdaus
title Midface hypoplasia in syndromic craniosynostosis: predicting craniofacial growth via a novel regression model from anatomical morphometric analysis
title_short Midface hypoplasia in syndromic craniosynostosis: predicting craniofacial growth via a novel regression model from anatomical morphometric analysis
title_full Midface hypoplasia in syndromic craniosynostosis: predicting craniofacial growth via a novel regression model from anatomical morphometric analysis
title_fullStr Midface hypoplasia in syndromic craniosynostosis: predicting craniofacial growth via a novel regression model from anatomical morphometric analysis
title_full_unstemmed Midface hypoplasia in syndromic craniosynostosis: predicting craniofacial growth via a novel regression model from anatomical morphometric analysis
title_sort midface hypoplasia in syndromic craniosynostosis: predicting craniofacial growth via a novel regression model from anatomical morphometric analysis
publisher Elsevier
publishDate 2024
url http://eprints.um.edu.my/45559/
https://doi.org/10.1016/j.ijom.2023.08.009
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