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Cranial morphology associated with syndromic graniosynostosis: A potential detection of abnormality in patient’s cranial growth using angular statistics

Introduction: Apert, Crouzon, and Pfeiffer syndromes are common genetic syndromes related to syndromic craniosynostosis (SC), whereby it is a congenital defect that occurs when the cranial growth is distorted. Identifying cranial angles associated with these 3 syndromes may assist the surgical team...

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Main Authors: Nur Syahirah, Zulkipli, Siti Zanariah, Satari, Norli Anida, Abdullah, Wan Nur Syahidah, Wan Yusoff, Abdul Ghapor, Hussin
Format: Article
Language:English
Published: Sage 2022
Subjects:
QA Mathematics
Online Access:http://umpir.ump.edu.my/id/eprint/35467/1/2022%20Zulkipli%20et%20al%20cleft.pdf
http://umpir.ump.edu.my/id/eprint/35467/
https://journals.sagepub.com/doi/abs/10.1177/10556656221107524
http://10.1177/10556656221107524
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spelling my.ump.umpir.354672022-10-17T09:21:41Z http://umpir.ump.edu.my/id/eprint/35467/ Cranial morphology associated with syndromic graniosynostosis: A potential detection of abnormality in patient’s cranial growth using angular statistics Nur Syahirah, Zulkipli Siti Zanariah, Satari Norli Anida, Abdullah Wan Nur Syahidah, Wan Yusoff Abdul Ghapor, Hussin QA Mathematics Introduction: Apert, Crouzon, and Pfeiffer syndromes are common genetic syndromes related to syndromic craniosynostosis (SC), whereby it is a congenital defect that occurs when the cranial growth is distorted. Identifying cranial angles associated with these 3 syndromes may assist the surgical team to focus on a specific cranial part during the intervention planning, thus optimizing surgical outcomes and reducing potential morbidity. Objective: The aim of this study is to identify the cranial angles, which are associated with Apert, Crouzon, and Pfeiffer syndromes. Methods: The cranial computed tomography scan images of 17 patients with SC and 22 control groups aged 0 to 12 years who were treated in the University Malaya Medical Centre were obtained, while 12 angular measurements were attained using the Mimics software. The angular data were then divided into 2 groups (patients aged 0 to 24 months and >24 months). This work proposes a 95% confidence interval (CI) for angular mean to detect the abnormality in patient’s cranial growth for the SC syndromes. Results: The 95% CI of angular mean for the control group was calculated and used as an indicator to confirm the abnormality in patient’s cranial growth that is associated with the 3 syndromes. The results showed that there are different cranial angles associated with these 3 syndromes. Conclusions: All cranial angles of the patients with these syndromes lie outside the 95% CI of angular mean of control group, indicating the reliability of the proposed CI in the identification of abnormality in the patient’s cranial growth. Sage 2022-06-16 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/35467/1/2022%20Zulkipli%20et%20al%20cleft.pdf Nur Syahirah, Zulkipli and Siti Zanariah, Satari and Norli Anida, Abdullah and Wan Nur Syahidah, Wan Yusoff and Abdul Ghapor, Hussin (2022) Cranial morphology associated with syndromic graniosynostosis: A potential detection of abnormality in patient’s cranial growth using angular statistics. The Cleft Palate-Craniofacial Journal. pp. 1-10. ISSN 1055-6656 (Printed) 1545-1569(online) https://journals.sagepub.com/doi/abs/10.1177/10556656221107524 http://10.1177/10556656221107524
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Nur Syahirah, Zulkipli
Siti Zanariah, Satari
Norli Anida, Abdullah
Wan Nur Syahidah, Wan Yusoff
Abdul Ghapor, Hussin
Cranial morphology associated with syndromic graniosynostosis: A potential detection of abnormality in patient’s cranial growth using angular statistics
description Introduction: Apert, Crouzon, and Pfeiffer syndromes are common genetic syndromes related to syndromic craniosynostosis (SC), whereby it is a congenital defect that occurs when the cranial growth is distorted. Identifying cranial angles associated with these 3 syndromes may assist the surgical team to focus on a specific cranial part during the intervention planning, thus optimizing surgical outcomes and reducing potential morbidity. Objective: The aim of this study is to identify the cranial angles, which are associated with Apert, Crouzon, and Pfeiffer syndromes. Methods: The cranial computed tomography scan images of 17 patients with SC and 22 control groups aged 0 to 12 years who were treated in the University Malaya Medical Centre were obtained, while 12 angular measurements were attained using the Mimics software. The angular data were then divided into 2 groups (patients aged 0 to 24 months and >24 months). This work proposes a 95% confidence interval (CI) for angular mean to detect the abnormality in patient’s cranial growth for the SC syndromes. Results: The 95% CI of angular mean for the control group was calculated and used as an indicator to confirm the abnormality in patient’s cranial growth that is associated with the 3 syndromes. The results showed that there are different cranial angles associated with these 3 syndromes. Conclusions: All cranial angles of the patients with these syndromes lie outside the 95% CI of angular mean of control group, indicating the reliability of the proposed CI in the identification of abnormality in the patient’s cranial growth.
format Article
author Nur Syahirah, Zulkipli
Siti Zanariah, Satari
Norli Anida, Abdullah
Wan Nur Syahidah, Wan Yusoff
Abdul Ghapor, Hussin
author_facet Nur Syahirah, Zulkipli
Siti Zanariah, Satari
Norli Anida, Abdullah
Wan Nur Syahidah, Wan Yusoff
Abdul Ghapor, Hussin
author_sort Nur Syahirah, Zulkipli
title Cranial morphology associated with syndromic graniosynostosis: A potential detection of abnormality in patient’s cranial growth using angular statistics
title_short Cranial morphology associated with syndromic graniosynostosis: A potential detection of abnormality in patient’s cranial growth using angular statistics
title_full Cranial morphology associated with syndromic graniosynostosis: A potential detection of abnormality in patient’s cranial growth using angular statistics
title_fullStr Cranial morphology associated with syndromic graniosynostosis: A potential detection of abnormality in patient’s cranial growth using angular statistics
title_full_unstemmed Cranial morphology associated with syndromic graniosynostosis: A potential detection of abnormality in patient’s cranial growth using angular statistics
title_sort cranial morphology associated with syndromic graniosynostosis: a potential detection of abnormality in patient’s cranial growth using angular statistics
publisher Sage
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/35467/1/2022%20Zulkipli%20et%20al%20cleft.pdf
http://umpir.ump.edu.my/id/eprint/35467/
https://journals.sagepub.com/doi/abs/10.1177/10556656221107524
http://10.1177/10556656221107524
_version_ 1748180705889746944
score 13.211869

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