دورية أكاديمية
Shape analysis of the nasal complex among South African groups from CBCT scans
| العنوان: | Shape analysis of the nasal complex among South African groups from CBCT scans |
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| المؤلفون: | Alison F. Ridel, Fabrice Demeter, Ericka N. L’Abbé, Dirk Vandermeulen, Anna C. Oettlé |
| المصدر: | South African Journal of Science, Vol 120, Iss 5/6 (2024) |
| بيانات النشر: | Academy of Science of South Africa, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Science LCC:Science (General) LCC:Social Sciences LCC:Social sciences (General) |
| مصطلحات موضوعية: | human variation of South African groups, cone-beam computer tomography scans, geometric morphometric methods, South African standard facial reconstruction methods, Science, Science (General), Q1-390, Social Sciences, Social sciences (General), H1-99 |
| الوصف: | Three-dimensional (3D) anatomical extraction techniques could help the forensic anthropologist in a precise and inclusive assessment of biological phenotypes for the development of facial reconstruction methods. In this research, the nose morphology and the underlying hard tissue of two South African populations were studied. To this end, a 3D computer-assisted approach based on an automated landmarking workflow was used to generate relevant 3D anatomical components, and shape discrepancies were investigated using a data set of 200 cone-beam computer tomography (CBCT) scans. The anatomical landmarks were placed on the external nose and the mid-facial skeleton (the nasal bones, the anterior nasal aperture, the zygoma, and the maxilla). Shape differences related to population affinity, sex, age, and size were statistically evaluated and visualised using geometric morphometric methods. Population affinity, sexual dimorphism, age, and size affect the nasal complex morphology. Shape variation in the mid-facial region was significantly influenced by population affinity, emphasising that shape variability was specific to the two population groups, along with the expression of sexual dimorphism and the effect of ageing. In addition, nasal complex shape and correlations vary greatly between white and black South Africans, highlighting a need for reliable population-specific 3D statistical nose prediction algorithms. Significance: • 3D anatomical structures were acquired and extracted from 200 CBCT scans of modern South Africans. • Geometric morphometric methods were applied. • Soft- and hard-tissue nasal complex morphology vary across South African groups. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1996-7489 |
| Relation: | https://sajs.co.za/article/view/12972; https://doaj.org/toc/1996-7489 |
| DOI: | 10.17159/sajs.2024/12972 |
| URL الوصول: | https://doaj.org/article/a0eb27524d4f453b9b37a3fe8ca81c33 |
| رقم الأكسشن: | edsdoj.0eb27524d4f453b9b37a3fe8ca81c33 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 19967489 |
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| DOI: | 10.17159/sajs.2024/12972 |