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Comparative manual and digital analysis of gonial angle in lateral cephalograms for gender determination

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Abstract

Human skull has always been used for victim identification in forensic odontology. The gender-dimorphic bone of the skull is the mandible. The gonial angle has frequently been investigated for gender estimation with variable results and requires further exploration. We aim to compare the efficacy of gonial angle estimation by ancient methods of lateral cephalometric tracing compared with more recent digital analysis methods for gender estimation in the Indian population. Lateral cephalograms of 191 (96 M and 95F) cases above the age of 17 years were retrieved. Cephalometric analysis of gonial angle on radiographs was done using both manual cephalometric tracing method and digitally using Adobe Photoshop software. The results were subjected to statistical analysis for evaluation. The mean gonial angle was higher in females (125.05; 123.77 and 125.28) than in males (122.583; 121.715 and 122.008) using both manual and digital methods. On applying the logistical regression analysis (LRA), the digital method showed the highest gender estimation accuracy of 60.7% followed by Burstone’s analysis (57.1%) and manual conventional analysis (56.5%). Burstone’s analysis (57.9%) correctly identified increased females, whereas digital analysis (62.5%) and manual conventional analysis (59.4%) accurately recognised increased males. The present study showed a higher gender estimation accuracy using digital methods as compared to manual methods, but it still lacks the credibility to be used as a sole factor for predicting the gender of an individual. Hence, a cumulative factor must be taken into consideration for gender identification which would provide more promising results.

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Authors and Affiliations

  1. Department of Oral Pathology and Microbiology, Pt. Bhagwat Dayal Sharma, University of Health Sciences, Post Graduate Institute of Dental Sciences (PGIDS), Rohtak, Haryana, 124001, India

    Akhil Girdhar, R. Keerthika, Anjali Narwal, Mala Kamboj & Anju Devi

  2. Department of Orthodontics, Pt. Bhagwat Dayal Sharma, University of Health Sciences, Post Graduate Institute of Dental Sciences (PGIDS), Rohtak, Haryana, 124001, India

    Rekha Sharma

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  1. Akhil Girdhar
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  2. R. Keerthika
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  3. Anjali Narwal
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  4. Mala Kamboj
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  5. Anju Devi
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  6. Rekha Sharma
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Correspondence to R. Keerthika.

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Girdhar, A., Keerthika, R., Narwal, A. et al. Comparative manual and digital analysis of gonial angle in lateral cephalograms for gender determination. Forensic Sci Med Pathol 20, 73–78 (2024). https://doi.org/10.1007/s12024-023-00625-2

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