Login / Signup

[Age determination by microstructural features of human cricoid cartilage].

Galina V ZolotenkovaS V ShigeevAndrey GerasimovG G GulgeldievM P Poletaeva
Published in: Sudebno-meditsinskaia ekspertiza (2023)
Was to develop the age determination's technology by the morphometric features of the human cricoid cartilage using a regression analysis method. Cricoid cartilages of 65 variously-aged males were examined. The number of histomorphometric parameters equal 16 for each sample were determined and measured on the histological sections. A descriptive statistical processing of data using the regression analysis method was done, as a result of which the model of age determination was developed. This model has a high predictive accuracy, where the prediction error was less than 5 years in 64.62% of cases. The practical use of this model may be limited by the morphometric parameters' number translating complication to calculate the formula. The developed method can be improved while increasing the sample and conducting further statistical processing, and in the future it can be used in the age determination in forensic medical examination.
Keyphrases
  • solid phase extraction
  • endothelial cells
  • molecularly imprinted
  • healthcare
  • pluripotent stem cells
  • cross sectional
  • multiple sclerosis
  • mass spectrometry
  • white matter