Study of mandibular canine index as a sex predictor in a Punjabi population

Background The Mandibular Canine Index (MCI) comprises a method of sex estimation by teeth that presents controversial results in the literature. Main body This systematic review aims to expose whether MCI can be used as a method of reliable sex estimation. A literature search was performed using the keywords “canine,” “sex,” “gender,” “determination,” “estimation,” “dimorphism,” “assessment,” “forensic” in the databases Pubmed, Scopus, Lilacs, Scielo, and Web of Science. In addition, manual searches were carried out on the reference lists of the selected articles to cover the largest number of articles of interest as possible. Studies that performed the measurements only on maxillary canines, scientific conferences abstract books, case reports and literature reviews were excluded. The assessment of methodological quality and risk of bias was carried out based on a checklist for cross-sectional studies and another for accuracy studies. Thus, 53 articles were selected, 13 of which were accurate and 40 were cross-sectional. All accuracy articles were assessed as low risk. Among cross-sectional articles, seven were considered to be of low risk, 31 of moderate risk, and two of high risk. The accuracy of the sex estimate by MCI was verified and, despite varying among studies, the minimum and maximum values found were, respectively, 20% and 87.5% for women and 40.6% and 94% for men. Conclusion The accuracy of the MCI was variable and should be used with caution and as an auxiliary method of sex estimation.

show abstract

Applicability of the mandibular canine index for sex estimation: a systematic review

Rocha

Pinto

Franco

et al. 2022

Egypt J Forensic Sci

View full text Add to dashboard Cite

show abstract

Automation of gender determination in human canines using artificial intelligence

Fidya

Priyambadha

2018

Dent. J. (Maj. Ked. Gigi)

View full text Add to dashboard Cite

Background: Gender determination is an important aspect of the identification process. The tooth represents a part of the human body that indicates the nature of sexual dimorphism. Artificial intelligence enables computers to perform to the same standard the same tasks as those carried out by humans. Several methods of classification exist within an artificial intelligence approach to identifying sexual dimorphism in canines. Purpose: This study aimed to quantify the respective accuracy of the Naive Bayes, decision tree, and multi-layer perceptron (MLP) methods in identifying sexual dimorphism in canines. Methods: A sample of results derived from 100 measurements of the diameter of mesiodistal, buccolingual, and diagonal upper and lower canine jaw models of both genders were entered into an application computer program that implements the algorithm (MLP). The analytical process was conducted by the program to obtain a classification model with testing being subsequently carried out in order to obtain 50 new measurement results, 25 each for males and females. A comparative analysis was conducted on the program-generated information. Results: The accuracy rate of the Naive Bayes method was 82%, while that of the decision tree and MLP amounted to 84%. The MLP method had an absolute error value lower than that of its decision tree counterpart. Conclusion: The use of artificial intelligence methods produced a highly accurate identification process relating to the gender determination of canine teeth. The most appropriate method was the MLP with an accuracy rate of 84%.

show abstract

Cheiloscopy, Palatoscopy and Odontometrics in Sex Prediction and Dis-crimination - a Comparative Study

Velpula

Ugrappa

et al. 2015

TODENTJ

View full text Add to dashboard Cite

Background and Objectives: Human identification is the forensic odontologist’s primary duty in the fields like violent crime, child abuse, elder abuse, missing persons and mass disaster scenarios. In each context, dental traits may produce compelling evidence to aid victim identity, suspect identity and narrow down the outcome of investigative casework. Sometimes it becomes necessary to apply some least known and less popular techniques in identification procedure where lip prints, rugae patterns and canine odontometrics can give us comparatively valid conclusions pertaining to person’s identification. This study elucidates the significance of cheiloscopy, palatoscopy and canine odontometry in sex prediction and discrimination. Materials and Methods: A cross- sectional study involving a total of 60 subjects, 30 males and 30 females were selected from the outpatient department of oral medicine and radiology. Lip prints were recorded using lipstick, palatal impressions were taken with alginate and odontometric measurements were taken with digital vernier calipers from every subject. All the obtained records were analyzed by two observers.Results: Reliability of lip prints was assessed using Kappa coefficient. Comparison of rugae patterns was done using Chi-square test. Mean canine and inter canine width was compared using t test. A p-value of <0.05 was considered significant. Statistically significant difference was found with the different lip print patterns analyzed in males and females, while no significant difference was observed in the rugae patterns but a significant difference in the mesio-distal width of mandibular canines in males and females was found with right mandibular canine(3.73%) showing greater sexual dimorphism compared to left mandibular canine(3.06%).Conclusion: This study shows the uniqueness of the lip prints and rugae patterns with the lip prints showing sensitivity of 81.7% giving reliable prediction of sex over palatoscopy. Hence, cheiloscopy along with the canine odontometrics aid in sex determination and can be considered as an ancilliary forensic tool in identification.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Study of mandibular canine index as a sex predictor in a Punjabi population

Cited by 4 publications

References 1 publication

Applicability of the mandibular canine index for sex estimation: a systematic review

Applicability of the mandibular canine index for sex estimation: a systematic review

Automation of gender determination in human canines using artificial intelligence

Cheiloscopy, Palatoscopy and Odontometrics in Sex Prediction and Dis-crimination - a Comparative Study

Contact Info

Product

Resources

About