Estimation of age from digital chest radiographs in district Mandi, Himachal Pradesh Cover Image

Estimation of age from digital chest radiographs in district Mandi, Himachal Pradesh
Estimation of age from digital chest radiographs in district Mandi, Himachal Pradesh

Author(s): Shama Patyal, Tejasvi Pandey
Subject(s): Criminology
Published by: Wydawnictwo Uniwersytetu Jagiellońskiego
Keywords: Forensic science; Age estimation; Costal calcification; Identification; Radiography; Thorax

Summary/Abstract: In forensic investigations estimation of age is a crucial part. Age estimation assists in narrow downing the search possibilities in the case of unidentified bodies and living individuals, it can also help in the determination of preparators and deciding the penalty for any criminal liability. Different body parts are often investigated at the crime scene, so estimating the age using different areas of the body is important. Hence, we conducted this study for age estimation from costal cartilage calcification. Only posterior-anterior (PA) digital chest radiographs are taken, and the first rib of the left side is evaluated. The degree of calcification and age showed a positive correlation; similarly, the value of Spearman’s rho showed significant results (for the whole sample =0.914, p < 0.01 (for male subjects was =0.925, p < 0.01. For females was =0.905, p < 0.01). The degree of calcification is useful in estimating age groups and becomes more determined with advancing age. Prediction of age using the radiological method gives the advantages of ease, inexpensiveness, rapidity, and high accuracy. In developing countries, this type of study will be very useful because infrastructure and lack of sources are major issues. The article provides a non-destructive method of age estimation in a forensic context that may act as a preliminary method of age estimation in mass disasters and dismembered bodies when a thoracic cage is only present.

  • Issue Year: 2022
  • Issue No: 132
  • Page Range: 229-239
  • Page Count: 11
  • Language: English
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