Gender determination by radiographic analysis of mental foramen in the Maharashtra population of India

Suragimath, Girish; Ashwinirani, SR; Christopher, Vineetha; Bijjargi, Shobha C; Pawar, Renuka; Nayak, Akshatha

doi:10.4103/0975-1475.195114

Cited by 19 publications

(5 citation statements)

References 16 publications

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“…Figure 3(c) is the orthopantomogram X-ray image. This type of imaging displays a complete panoramic view of teeth [ 12 – 14 ]. Dataset of orthopantomogram (OPG) was used in this paper for detection of gender and age estimation.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Techniques for Human Age and Gender Identification Based on Teeth X-Ray Images

Santosh¹,

Pradeep²,

Goel³

et al. 2022

Journal of Healthcare Engineering

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The use of digital medical images is increasing with advanced computational power that has immensely contributed to developing more sophisticated machine learning techniques. Determination of age and gender of individuals was manually performed by forensic experts by their professional skills, which may take a few days to generate results. A fully automated system was developed that identifies the gender of humans and age based on digital images of teeth. Since teeth are a strong and unique part of the human body that exhibits least subject to risk in natural structure and remains unchanged for a longer duration, the process of identification of gender- and age-related information from human beings is systematically carried out by analyzing OPG (orthopantomogram) images. A total of 1142 digital X-ray images of teeth were obtained from dental colleges from the population of the middle-east part of Karnataka state in India. 80% of the digital images were considered for training purposes, and the remaining 20% of teeth images were for the testing cases. The proposed gender and age determination system finds its application widely in the forensic field to predict results quickly and accurately. The prediction system was carried out using Multiclass SVM (MSVM) classifier algorithm for age estimation and LIBSVM classifier for gender prediction, and 96% of accuracy was achieved from the system.

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Section: Introductionmentioning

confidence: 99%

Machine Learning Techniques for Human Age and Gender Identification Based on Teeth X-Ray Images

Santosh¹,

Pradeep²,

Goel³

et al. 2022

Journal of Healthcare Engineering

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show abstract

“…Only a few other studies have also explored how well the osteologic criteria may distinguish races among persons who live in a specific geographic area. [ 19 - 21 ] The potential of these osteologic markers to determine gender has only been briefly explored in the literature. Samatha et al .…”

Section: Discussionmentioning

confidence: 99%

Assessment of Odontometric and Osteologic Traits for Gender Determination in South Indians: An Original Research

Suresh

Kumar²,

Kulkarni

et al. 2023

Journal of Pharmacy and Bioallied Sciences

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In forensic, odontologic, genetic, and anthropological aspects, odontometric and osteologic features have long been a valuable source. The goal of this research was to correlate both the osteologic and odontometric characteristics to determine the most accurate approach for determining gender. A retrospective study involving 1000 adults, with equal gender distribution, was carried out utilizing digital panoramic radiography. The archives were searched for radiographic images of the subjects that were procured for the various procedures that ranged from implantations to rehabilitations. The measurement process was carried out with Image-Pro. There was a noticeable gender difference in the mesodistal breadth, which ranged from 17 to 47. Asymmetry of the lower jaw was considerable in both genders, as was gender variance in osseologic characteristics including ramus diameter and gonial angle. The two groups of attributes exhibited a substantial positive predictive value and thus can be used indetermining gender.

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“…While, the distance between the MF and the alveolar crest due to resorption of the later 19,20 . It was also reported that the length from the lower border of the lower jaw to the MF shows gender dimorphism, and orthopantomography or panoramic radiography (OPG) is a sufficient way for the assembly of planned measurements and determination of sex from skeletal remnant [21][22][23] .…”

Section: Discussionmentioning

confidence: 99%

Identification of gender by radiographic analysis of mental foramen in a sample of Iraqi patients

Timimi

Khafaji

Albaaj

et al. 2022

Bangladesh J Med Sci

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Objective: The mandible is the strongest bone in the human skeleton. The uses of the morphological characters of such jawbone is a predominantly used approach in forensic dentistry to determine the gender of a severely damaged cadaver. Distinguishing sex, race and personal stamp of the unknown skeleton still has been the most challenging job in forensic dentistry. This research aimed to clarify the gender of Babylon population by mental foramen (MF) assessment using Orthopantomography (OPG). Method: The present retrospective study was conducted on 120 digital panoramic radiographs. The radiographs were of 60 male and 60 female dentate patients aged between 18-62 years. Morphometric analysis was performed on bilateral mental foramina. Lines were drawn from superior (S) and inferior (I) borders of the foramen and perpendiculars to the lower (L) border of the mandible (S-L and I-L lines respectively). Data were distributed and subjected to statistical analysis using the Independent-Samples T test. Results: The average values of S-L and I-L were significantly higher in males than in females (p<0.05). Conclusion: The distance from the MF to the lower border of the lower jaw reveals gender differences in Babylon city population. Findings also suggest that OPG could be a useful technique for gender identification from the remnants of the human body skeleton. There was a statistical significant difference in the average S-L distance and average I-L distance between males and females at 3 different age groups (young adult, middle age and old age groups), except in the average I-L distance at the middle age group (p<0.05). Bangladesh Journal of Medical Science Vol. 21(1) 2022 Page : 79-83

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Gender determination by radiographic analysis of mental foramen in the Maharashtra population of India

Cited by 19 publications

References 16 publications

Machine Learning Techniques for Human Age and Gender Identification Based on Teeth X-Ray Images

Machine Learning Techniques for Human Age and Gender Identification Based on Teeth X-Ray Images

Assessment of Odontometric and Osteologic Traits for Gender Determination in South Indians: An Original Research

Identification of gender by radiographic analysis of mental foramen in a sample of Iraqi patients

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