Mandibular ramus and gonial angle—Identification tool in age estimation and sex determination: A digital panoramic radiographic study in north indian population

Behl, Ashima Bali; Grewal, Salvina; Bajaj, Kavisha; Baweja, Parvinder Singh; Kaur, Gurpreet; Kataria, Pavita

doi:10.4103/jiaomr.jiaomr_172_19

Cited by 21 publications

(20 citation statements)

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“…This helps in the automation technique using any programming environment. Bali Behl et al [ 24 ] proposed a method based on panoramic evaluation for mandible morphometric changes in postpubertal and prepubertal in the Turkish population. The authors measured bicondylar breadth (BB), gonial angle measurement, antegonial angle (AGA), ramus height, and ramus breadth (RHRB), which were captured from the Turkish population.…”

Section: Literature Reviewmentioning

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: Literature Reviewmentioning

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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“…This could be due to increased rate of resorption in the older age group. But there are few studies by Taleb et al-2015 and Behl et al 2020, which contradicts this observation [26,27]. This difference could be due to geographical variations of sampling, non-random sampling and variations in sample size.…”

Section: Discussionmentioning

confidence: 91%

Age Estimation using Mandibular Projective Ramus Height: A Retrospective Digita Orthopantomographic Study

Kizhakkoottu

Arthanari

2021

JPRI

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Background: Mandibular projective ramus height is one of the accurate parameters in age estimation.Estimation of age by mandibular ramusheight using various digital softwares is one of the newest approach in forensic dentistry. The aim of the present study is to derive a new linear regression formula for estimating age of south Indian population using mandibular projective ramus height. Materials and Methods: This retrospective study included OPG samples n=260 from 5 age groups between 30 to 79.9 years. Measurement of mandibular projective ramus height was done using Planmeca Romexis Viewer software and tabulated and exported to SPSS software for linear regression analysis. Results: Mean mandibular projective ramus height value of males (28.7) is higher compared to females (27.3) in all age groups and there is also a significant decrease in mandibular projective ramus height in both gender as the age advances. The gender specific and general linear regression formula derived for estimation of age in the South Indian population. Conclusion: Even though the current linear regression formula for estimating age carries 65% accuracy, further research with adequate sample size should be carried out across the hospitals in Chennai for more significant and region specific results.

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“…Also, many studies have been carried out in India on gender determination using mandibular ramus but most of them had a sample size of less than 100 OPGs. [6,12] Therefore the current study was planned using a sample size of 600, and it produced reliable results.…”

Section: Discussionmentioning

confidence: 98%

Mandibular ramus: An indicator for gender determination

Karmarkar

Mhapuskar

Hiremutt

et al. 2022

ijhs

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The results of present study proved that the mandibular ramus plays an important role in sex determination due to its unique high sexual dimorphism, so does the gonial angle, which is linear to studies done previously with a smaller sample size. [8, 9, 13] The mandible also possesses resistance to damage and disintegration process. Hence, we conclude that the use of mandibular ramus and gonial angle is recommended as an aid for gender determination in forensic anthropology.

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Mandibular ramus and gonial angle—Identification tool in age estimation and sex determination: A digital panoramic radiographic study in north indian population

Cited by 21 publications

References 1 publication

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

Age Estimation using Mandibular Projective Ramus Height: A Retrospective Digita Orthopantomographic Study

Mandibular ramus: An indicator for gender determination

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