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Validating the use of clinical MSCT scans for cranial nonmetric sex estimation in a contemporary Indonesian population.
Lye, Ridhwan; Obertová, Zuzana; Bachtiar, Nur Amelia; Franklin, Daniel.
  • Lye R; Centre for Forensic Anthropology, M420, The University of Western Australia, Crawley, WA, 6009, Australia. ridhwan.dawudlye@research.uwa.edu.au.
  • Obertová Z; Centre for Forensic Anthropology, M420, The University of Western Australia, Crawley, WA, 6009, Australia.
  • Bachtiar NA; Radiology Department, Hasanuddin University, Jalan Perintis Kemerdekaan KM. 10, Talamanrea, Makassar, 90254, Indonesia.
  • Franklin D; Centre for Forensic Anthropology, M420, The University of Western Australia, Crawley, WA, 6009, Australia.
Int J Legal Med ; 138(4): 1559-1571, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38300302
ABSTRACT
There is renewed interest in Asia for the development of forensic anthropological standards, partly due to the need for population-specific models to maintain high classification accuracies. At present, there are no known studies utilising morphoscopic standards specific to the Indonesian population. Craniometric analyses can often be time-consuming; morphoscopic assessments are quicker and are also known to be reliable and accurate. One of the most utilised morphoscopic standards for the estimation of skeletal sex is that of Walker (2008). Its application across population groups demonstrated reduced accuracies outside of the United States; population-specific predictive models would thus serve to improve the identification process of unknown skeletal remains. Digital imaging also allows for the validation of standards on a contemporary population and is an appropriate proxy to physical skeletal material.The present study quantifies the applicability of the Walker standard to a contemporary Indonesian population. A total of 200 cranial MSCT scans from a hospital in Makassar were analysed using OsiriX®. Scoring was performed in accordance with the Walker standard. Five univariate and nine multivariate predictive models were derived using single trait and multi-trait combinations. The best performing univariate model included the glabella, with a total classification accuracy of 82.0% and a sex bias of 14.6%. Classification accuracy with all traits considered was at 95.2% for females and 82.8% for males with a sex bias of 12.5%. These results provide forensic practitioners in Indonesia with an appropriate morphoscopic sex estimation standard, strengthening their capabilities in the field and improving judicial outcomes.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Cráneo / Antropología Forense / Determinación del Sexo por el Esqueleto Tipo de estudio: Prognostic_studies Límite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged País como asunto: Asia Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Cráneo / Antropología Forense / Determinación del Sexo por el Esqueleto Tipo de estudio: Prognostic_studies Límite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged País como asunto: Asia Idioma: En Año: 2024 Tipo del documento: Article