Browsing by Author "Muhammad Faiz Mohd Fauad"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
- Some of the metrics are blocked by yourconsent settings
Publication Evaluation of age variation changes in cervical vertebrae: 2-Dimensional (2D) geometric morphometrics approach(Elsevier, 2023) ;Muhammad Faiz Mohd Fauad ;Ku Mastura Ku Mohd Noor ;Aspalilah Alias ;Ker Woon Choy ;Wei Lin Ng ;Eric Chung ;Yuan Seng WuNoraina Hafizan NormanAge estimation in adults is a complicated task because of various external factors occur concurrently with increasing age. The geometric morphometric method (GMM) is an approach that focuses on shape analysis and is widely recognized for its high reliability and reproducibility. The aim of this study was to explore the variation of cervical vertebrae among different age groups of the Malaysian population by GMM. Lateral skull radiographs of 432 subjects comprising four adult age groups; young adult age group (20–30 years old), early middle age group (31–40 years old), late middle age group (41–50 years old) and, elder adult age group (51–60 years old) were selected. Fifty-three 2-dimensional (2D) landmarks were applied to the digitalized radiographs by TPSDig2 (Version 2.31) software. Geometric morphometric analysis was performed by MorphoJ software. Results showed that the first three principal components (PC) contributed to 47.71 % of the cervical vertebrae variation and were shown in both lollipop and wireframe graphs. Procrustes ANOVA indicated that the shape was significantly different among different age groups. Canonical variate analysis revealed significant differences of both mahalanobis and procrustes distances among age groups with substantial individual overlap within groups. Discriminant function analysis (DFA) showed a correct classification rate for 61.5 % of cases respective to age groups. In conclusion, this study found significant differences in the shape of cervical vertebrae among different age groups of the Malaysian population using the GMM. - Some of the metrics are blocked by yourconsent settings
Publication Sexual Dimorphism From Third Cervical Vertebra (c3) On Lateral Cervical Radiograph: A 2-dimensional Geometric Morphometric Approach(Elsevier, 2021) ;Muhammad Faiz Mohd Fauad ;Aspalilah Alias ;Ku Mastura Ku Mohd Noor ;Ker Woon Choy ;Wei Lin Ng ;Eric ChungYuan Seng WuSex identification is essential for the establishment of an accurate biological profile from skeletal remains in forensic anthropology. Conventional method using calipers is time-consuming and associated with a high margin of error especially in the case of highly fragmented skeletal remains. Geometric morphometric method is an approach which utilizes qualitative and quantitative description of biological forms according to geometric definitions of their shape. This study aimed to determine sexual dimorphism of third cervical (C3) vertebra on the lateral cervical radiograph by geometric morphometric method. Lateral cervical radiographs of 432 samples comprising of 262 males and 170 females of known individuals were retrieved retrospectively. The samples were adult Malaysian population aged from 20 to 60 years old. Eleven 2-dimensional (2D) landmarks were applied on the digitalized radiographs by TPSDig2 (Version 2.31) software. Geometric morphometric analysis was performed by MorphoJ software. Procrustes ANOVA showed that centroid size and shape are significantly different with p<0.001. Discriminant function analysis (DFA) showed 70% classification accuracy, with identification accuracy of 70.6% for males and 70.0% for females. There were significant differences between sex in the height of vertebral body, length of the superior articular process as well as length of the superior part of spinous process of C3 (p<0.05; Independent t-test). In conclusion, sexual dimorphism demonstrated in the C3 vertebra confirms the utilization of 2D geometric morphometric as one of the methods for sex estimation. To the best of our knowledge, this is the first study to report such findings among Malaysian population.