Radiomorphometric of the Jaw for Gender Prediction: A Digital Panoramic Study

نویسندگان

چکیده

Background. Gender identification by using skeletal is an important tool in forensic, medico-legal, bioarkeology, and anthropology. Traditional morphological methods depended on the anthropologist subjectivity that caused a significant difference among observer. This study aims to develop discriminant function for gender prediction Surabaya-Indonesia population age ranges 15-25-year-olds panoramic radiograph. research used 273 radiographs consisted of 129 male 144 female radiographs. The researchers measured 11 parameters jaw such as two gonial angles, mandibular ramus heights, widths, corpus lengths, nasal line maxilla, anterior heights. analyzed data analysis IBM SPSS statistic 24. Results. result our shows there were differences morphometry between males females, except widths. size was larger than female. biggest dimorphism variables based Wilks lambda value lines. While smallest accuracy each variable from 47.3% 93.8%. Conclusion. preliminary radiograph highest obtained combination nine parameters.

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ژورنال

عنوان ژورنال: Acta medica Philippina

سال: 2021

ISSN: ['2094-9278', '0001-6071']

DOI: https://doi.org/10.47895/amp.vi0.3175