BACKGROUND: Previous studies have reported relationships between various visual parameters of the skin and changes due to aging. Due to an increase in the discovery of unidentified bodies, the field of forensic medicine anticipates the development of a rapid method for estimating age. The present study measured various visual parameters of the skin in human remains and investigated the correlation between these parameters and age. MATERIALS AND METHODS: Skin images were taken of four body parts (cheek, chin, brachium, and thigh) of 414 forensic cases. We interpreted eight visual parameters of the skin (smoothness, roughness, texture, dullness, brightness, erythema, color phase, and sagging) from skin photograph images, and constructed three age-prediction models, categorized by sex, postmortem interval, and age. RESULTS: Significant correlations were observed in the erythema of the cheek and chin, the roughness of the brachium, and the texture of the brachium and thigh among the visual parameters calculated in four body parts, using the three models. The root-mean-square errors, which indicate the precision of the three prediction models, were 13.06, 13.80, and 13.77. The only model that demonstrated a correlation with the visual parameters was sex (but not age or postmortem interval). CONCLUSION: Similar to living subjects, we observed a correlation with age for a number of visual parameters. The parameters that correlate with age depend on whether the site being measured was exposed to sunlight. Age estimation based on visual parameters requires measurement of visual parameters for skin both exposed and not exposed to sunlight.
BACKGROUND: Previous studies have reported relationships between various visual parameters of the skin and changes due to aging. Due to an increase in the discovery of unidentified bodies, the field of forensic medicine anticipates the development of a rapid method for estimating age. The present study measured various visual parameters of the skin in human remains and investigated the correlation between these parameters and age. MATERIALS AND METHODS: Skin images were taken of four body parts (cheek, chin, brachium, and thigh) of 414 forensic cases. We interpreted eight visual parameters of the skin (smoothness, roughness, texture, dullness, brightness, erythema, color phase, and sagging) from skin photograph images, and constructed three age-prediction models, categorized by sex, postmortem interval, and age. RESULTS: Significant correlations were observed in the erythema of the cheek and chin, the roughness of the brachium, and the texture of the brachium and thigh among the visual parameters calculated in four body parts, using the three models. The root-mean-square errors, which indicate the precision of the three prediction models, were 13.06, 13.80, and 13.77. The only model that demonstrated a correlation with the visual parameters was sex (but not age or postmortem interval). CONCLUSION: Similar to living subjects, we observed a correlation with age for a number of visual parameters. The parameters that correlate with age depend on whether the site being measured was exposed to sunlight. Age estimation based on visual parameters requires measurement of visual parameters for skin both exposed and not exposed to sunlight.