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...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Published: |
Elsevier
2024
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/45559/ https://doi.org/10.1016/j.ijom.2023.08.009 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Malaya |
id |
my.um.eprints.45559 |
---|---|
record_format |
eprints |
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 |
_version_ |
1814933242032160768 |