Combined Clavicle Model May Improve Age Estimates

Combined approach shows higher sensitivity than traditional thresholds for classifying legal adulthood.

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A multivariable model combining skeletal maturation, clavicle length, and sex improves forensic age estimation accuracy.
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The combined model achieved an area under the curve of 0.94 and an overall accuracy of 87% in age classification.
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Sensitivity and specificity for identifying adults were 91.4% and 80.1%, outperforming traditional single-variable methods.
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Clavicle length was a significant age predictor for ages 10 to 15 but not for ages 16 to 20, crucial for legal adulthood.
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The study supports statistical modeling over rigid thresholds for better risk assessment in forensic age estimation.

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