Affiliations 

  • 1 Department of Oral and Craniofacial Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia
  • 2 Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia
  • 3 Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
  • 4 Department of Artificial Intelligence, Faculty of Computer Science & Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia
  • 5 Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia. [email protected]
Folia Morphol (Warsz), 2024 Nov 22.
PMID: 39573971 DOI: 10.5603/fm.100846

Abstract

BACKGROUND: This study aimed to determine the differences in cranial measurements in three sub-adult populations in Malaysia using multi-slice computed tomography (MSCT) data.

MATERIALS AND METHODS: A total of 521 cranial MSCT datasets of Malaysian sub-adults (0-20 years old) consisting of Malay, Chinese, and Indian populations were analysed and constructed into three-dimensional (3D) cranial models using Mimics software version 21. Fourteen selected craniometric parameters were measured on the 3D models, adhering to the plane-to-plane protocol. All measurements were statistically analysed using discriminant function analysis.

RESULTS: Cranial measurements such as maximum cranial width, biasteronic width, and occipital chord showed significant differences among Malays, Chinese, and Indians. In addition, a high similarity of the measurements between Chinese and Malays compared to Indians and Malays and Chinese and Indians was demonstrated. The highest classification accuracy was obtained by the age group of 10-12 years old, with Indians achieving the highest accuracy (72.2%), followed by Chinese (71.8%) and Malays (58.3%). The accuracy percentages between the pooled-sex and male/female formulas were relatively similar.

CONCLUSIONS: This study demonstrated the presence of morphometric variations among the three different sub-adult populations in Malaysia using MSCT datasets.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.