Prediction of cross-sectional geometry from metacarpal radiogrammetry: a validation study

Area of Science:

• Forensic Anthropology
• Bioarchaeology
• Skeletal Biology

Background:

• Established regression models estimate second metacarpal bone geometry from algebraic predictions.
• These models, validated on European samples, require testing on diverse populations due to potential skeletal variations.

Purpose of the Study:

• To validate existing regression models for predicting second metacarpal bone geometry in a historic/proto-historic Inuit sample.
• To assess the models' accuracy for bone strength and mass estimations in a non-European skeletal assemblage.

Main Methods:

• Applied previously developed algebraic and predictive regression models to a sample of 166 Inuit individuals.
• Compared model predictions against invasive analysis of actual bone geometry.

Main Results:

• Predictive regression models provided accurate estimates for bone strength measures (Total Area, bending about Ix and Iy axes).
• Models showed biased overestimates for bone mass (Cortical Area) in the Inuit sample.
• Algebraic models consistently overestimated actual bone values.

Conclusions:

• Existing predictive regression models are effective for assessing bone strength in Inuit populations.
• Discrepancies in bone mass estimation suggest potential functional or systemic differences in Inuit skeletal physiology and aging.
• Further research is needed to understand Inuit skeletal biology and aging bone loss.