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Updated: Jan 12, 2026

A Morphometric and Cellular Analysis Method for the Murine Mandibular Condyle
Published on: January 11, 2018
Morphometric Analysis of Mandibular Ramus Indices for Sex Prediction Using Digital Orthopantomograms (OPGs) and the
Harshal R Thube1, Vina Vaswani2, Neelam Chandwani3
1Forensic Medicine, All India Institute of Medical Sciences, Nagpur, IND.
Mandibular morphometric indices from digital X-rays reliably predict sex, with larger dimensions in males. This cost-effective method enhances forensic identification when other methods fail.
Area of Science:
- Forensic Anthropology
- Human Identification
- Digital Radiography
Background:
- Sex determination is vital in forensic medicine and anthropology.
- The mandible's durability and morphological differences between sexes make it valuable for estimation.
- Digital radiography and software like GIMP enable precise morphometric analysis for improved forensic accuracy.
Purpose of the Study:
- To predict sex using mandibular morphometric indices from digital orthopantomograms (OPGs).
- To utilize the GNU Image Manipulation Program (GIMP) for measurements in a central Indian population.
Main Methods:
- Cross-sectional study of 500 OPGs (250 males, 250 females, aged 20-40).
- Measurement of four bilateral mandibular parameters (condylar ramus height, projective ramus height, maximum ramus breadth, minimum ramus breadth) using GIMP.
- Double-blind measurement conditions to ensure objectivity.
Main Results:
- All four measured mandibular parameters exhibited statistically significant sexual dimorphism (p < 0.001).
- Males consistently showed larger linear dimensions than females for all parameters.
- Condylar ramus height and maximum ramus breadth were the strongest predictors of sex, confirmed by discriminant function analysis.
Conclusions:
- Mandibular morphometric indices from OPGs, analyzed with GIMP, are reliable sex indicators due to significant sexual dimorphism in ramus dimensions.
- This method is cost-effective, reproducible, and valuable for forensic identification, particularly when DNA or conventional methods are inaccessible.
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