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The objective of the present study was to determine the biological age of the unrecognized individuals based on the analysis of CT-scanograms of the skull and the craniovertebral region in the sagittal projection. We investigated the structure of the spongy substance of the clinoid plate of the sella turcica and the clivus of the cranium, involution of the vertebrae configuration in the medial atlantoaxial articulation, frontal and sphenoidal sinuses. A total of 80 skulls of Caucasoid individuals at the age ranging from 4 to 84 years belonging to an Eastern Slavonic population (free from the pathological lesions in the above cranial structures) were available for the examination. The results of the multifactorial analysis gave evidence of the possibility to estimate the age of individual subjects based on the comprehensive aggregate qualitative and quantitative characteristic in the framework of the linear regression model by making use of the age-related changes in the frontal and sphenoidal sinuses, the sella turcica and the clivus of the cranium, the first and the second cervical vertebrae with an accuracy to within 6 years. It is concluded that the application of the systems for the automated statistical analysis of the images for the purposes of forensic medical expertise would allow to obtain the results of great practical and scientific value.

The objective of the present study was the development of the diagnostic model for determining the human age based on the results of the comprehensive examination of the 230 thyroid cartilages (TC) obtained from the corpses of men and women of different age. TC were examined with the use of the anthropometric, X-ray, and histological methods. The anthropometric investigations confirmed the gender-related differences in the structure of human TC. Various characteristics of TC were shown to correlate with the age but these relationships were rather weak even if formally significant. The X-ray studies of TC have revealed the significant correlation of the relative amount of the bone tissue on the images with the age (r=0.8). Of the 27 parameters subjected to the morphometric evaluation, the following ones were shown to significantly correlates with the age: percentage of the bony (r=0,82) and cartilaginous (r=-0.8) tissue areas, average density of the adipose (r=0.76) and reticular (r=0.7) tissues, the maximum length of trabeculae (r=0.67), the width of the mature cartilage zone (r=0.54), the cortical plate thickness (r=0.5), and the mean number of immature chondrocytes in the field of vision (r=0.5). The comprehensive investigation into the structure of the human thyroid cartilage provided a basis for the development of the method for determining the human age with the use of the linear regression equations. It is concluded that the proposed method can be employed as an additional diagnostic tool for determining the human age for the purposes of forensic medical expertise and personality identification.

The objective of the present study was to elucidate the morphological and morphometric characteristics of the human thyroid cartilage during different periods of life. The thyroid cartilages were harvested from 70 cadavers of the subjects of the masculine gender who had died at the age from 1 to 93 years from the non-violent causes and had neither injuries nor signs of pathological changes in the neck organs. The microscopic studies were carried out using the standard methods for the staining of the preparations with hematoxylin and eosin. The following parameters were evaluated: the area of the cartilaginous and bone tissues, the average area of the cartilaginous and bone tissues in the field of vision, the average width of the cartilaginous plate, the thickness of the cortical plate, the number of trabeculae, the average area and length of the trabeculae, the average, minimal, and maximum area of the trabeculae, the number of the young and mature chondrocytes, the width of the zones of the young and mature cartilage and their ratio, the area of the reticular-fibrous and adipose tissues and their ratio. In addition, we also determined mean values, standard deviations, correlation coefficients, and the significance of differences (p). The following characteristics exhibited the most significant correlation with the age: the average area of the bone (r=0.69) and cartilaginous (r=-0.63) tissues, adipose (r=0.67) and reticular fibrous (r=0.61) tissues, the average length of the trabeculae (r=0.7), the number of young chondrocytes in the field of vision (r=-0.789). It is concluded that the described correlations can be helpful in the practical forensic medical activities as the additional diagnostic criteria for the determination of the human age.