Cranial morphology associated with syndromic craniosynostosis: 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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American Cleft Palate-Craniofacial Association
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/34457/ http://umpir.ump.edu.my/id/eprint/34457/1/2022%20Zulkipli%20et%20al%20cleft.pdf http://umpir.ump.edu.my/id/eprint/34457/7/Cranial%20morphology%20associated%20with%20syndromic%20craniosynostosis.pdf |
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| author | Zulkipli, Nur Syahirah Satari, Siti Zanariah Hariri, Firdaus Abdullah, Norli Anida Wan Yusoff, Wan Nur Syahidah Hussin, Abdul Ghapor |
| author_facet | Zulkipli, Nur Syahirah Satari, Siti Zanariah Hariri, Firdaus Abdullah, Norli Anida Wan Yusoff, Wan Nur Syahidah Hussin, Abdul Ghapor |
| author_sort | Zulkipli, Nur Syahirah |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T03:14:12Z |
| format | Article |
| id | ump-34457 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:14:12Z |
| publishDate | 2022 |
| publisher | American Cleft Palate-Craniofacial Association |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-344572022-10-20T02:12:44Z http://umpir.ump.edu.my/id/eprint/34457/ Cranial morphology associated with syndromic craniosynostosis: A potential detection of abnormality in patient's cranial growth using angular statistics Zulkipli, Nur Syahirah Satari, Siti Zanariah Hariri, Firdaus Abdullah, Norli Anida Wan Yusoff, Wan Nur Syahidah Hussin, Abdul Ghapor 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. American Cleft Palate-Craniofacial Association 2022-06-16 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34457/1/2022%20Zulkipli%20et%20al%20cleft.pdf pdf en http://umpir.ump.edu.my/id/eprint/34457/7/Cranial%20morphology%20associated%20with%20syndromic%20craniosynostosis.pdf Zulkipli, Nur Syahirah and Satari, Siti Zanariah and Hariri, Firdaus and Abdullah, Norli Anida and Wan Yusoff, Wan Nur Syahidah and Hussin, Abdul Ghapor (2022) Cranial morphology associated with syndromic craniosynostosis: A potential detection of abnormality in patient's cranial growth using angular statistics. The Cleft Palate-Craniofacial Journal. pp. 1-10. ISSN 1055-6656. (In Press / Online First) (In Press / Online First) https://doi.org/10.1177/10556656221107524 https://doi.org/10.1177/10556656221107524 |
| spellingShingle | QA Mathematics Zulkipli, Nur Syahirah Satari, Siti Zanariah Hariri, Firdaus Abdullah, Norli Anida Wan Yusoff, Wan Nur Syahidah Hussin, Abdul Ghapor Cranial morphology associated with syndromic craniosynostosis: A potential detection of abnormality in patient's cranial growth using angular statistics |
| title | Cranial morphology associated with syndromic craniosynostosis: A potential detection of abnormality in patient's cranial growth using angular statistics |
| title_full | Cranial morphology associated with syndromic craniosynostosis: A potential detection of abnormality in patient's cranial growth using angular statistics |
| title_fullStr | Cranial morphology associated with syndromic craniosynostosis: A potential detection of abnormality in patient's cranial growth using angular statistics |
| title_full_unstemmed | Cranial morphology associated with syndromic craniosynostosis: A potential detection of abnormality in patient's cranial growth using angular statistics |
| title_short | Cranial morphology associated with syndromic craniosynostosis: A potential detection of abnormality in patient's cranial growth using angular statistics |
| title_sort | cranial morphology associated with syndromic craniosynostosis: a potential detection of abnormality in patient's cranial growth using angular statistics |
| topic | QA Mathematics |
| url | http://umpir.ump.edu.my/id/eprint/34457/ http://umpir.ump.edu.my/id/eprint/34457/ http://umpir.ump.edu.my/id/eprint/34457/ http://umpir.ump.edu.my/id/eprint/34457/1/2022%20Zulkipli%20et%20al%20cleft.pdf http://umpir.ump.edu.my/id/eprint/34457/7/Cranial%20morphology%20associated%20with%20syndromic%20craniosynostosis.pdf |