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A Study on the Asymmetry of the Human Left and Right Pubic Symphyseal Surfaces Using High-Definition Data Capture and
Detelina K Stoyanova1, Bridget F B Algee-Hewitt1,2, Jieun Kim1
1Department of Scientific Computing, Florida State University, Tallahassee, FL, 32306.
This study quantifies pubic symphysis asymmetry using 3D scans and computational methods. Results show that either side of the pubic symphysis can be reliably used for age estimation, even with asymmetry.
Area of Science:
- Forensic anthropology
- Bioarchaeology
- Biomedical engineering
Background:
- The pubic symphysis is a key bilateral indicator for estimating age at death.
- Within-individual asymmetry between paired pubic symphyses can introduce errors in age estimation.
- Traditional visual assessment methods may be subjective and influenced by asymmetry.
Purpose of the Study:
- To investigate and quantify within-individual asymmetry in paired pubic symphyses.
- To evaluate the impact of asymmetry on age estimation using computational methods.
- To determine if one side of the pubic symphysis provides a more accurate age estimate than the other.
Main Methods:
- Utilized 3D laser scans of 88 documented White males' paired pubic symphyses.
- Applied numerical shape algorithms to analyze scan data, offering an alternative to visual assessment.
- Quantified asymmetry and assessed its relationship with age, weight, and stature.
Main Results:
- Computational, shape-based age estimation techniques demonstrated robustness to asymmetry.
- Over 80% of paired differences fell within 10 years, and over 90% within 15 years.
- Significant asymmetry did not correlate with life history factors like advanced age, weight, or stature.
Conclusions:
- Computational methods for age estimation using the pubic symphysis are reliable despite within-individual asymmetry.
- Either the right or left pubic symphysis can be utilized for age-at-death estimation with these computational techniques.
- The findings support the use of objective, shape-based analyses for forensic age estimation.
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