MATERIALS AND METHODS: We retrospectively assessed 107 cadavers that had undergone conventional autopsy and PMCT. We made 5 measurements from the PMCT that included cervical length (CL), thoracic length (TL), lumbosacral length (LS), total column length of the spine, excluding the sacrum and coccyx (TCL), and ellipse line measurement of the whole spine, excluding the sacrum and coccyx (EL). We compared these anthropometric PMCT measurements with AL and correlated them using linear regression analysis.
RESULTS: The results showed a significant linear relationship existed between TL and LS with AL, which was higher in comparison with the other parameters than the rest of the spine parameters. The linear regression formula derived was: 48.163 + 2.458 (TL) + 2.246 (LS).
CONCLUSIONS: The linear regression formula derived from PMCT spine length parameters particularly thoracic and lumbar spine gave a finer correlation with autopsy body length and can be used for accurate estimation of cadaveric height. To the best of our knowledge, this is the first ever linear regression formula for cadaveric height assessment using only post mortem CT spine length measurements.
Aim: The aim of this study is to analyze predominant types of lip prints (cheiloscopy), accuracy of mandibular canine index (MCI) (odontometric), and facial index in the study population and to identify whether any correlation among the above parameters could help forensic dentistry in solving crimes.
Materials and Methods: A pilot study was conducted in 100 individuals, 50 males and 50 females aged between 20 and 25 years. For each individual, the lip prints, MCI, and facial index measurements were recorded on the same day analyzed by two observers. All the analysis was done using SPSS version 14 assessed using t-test and Chi-square test.
Results: Type II pattern of lip prints is observed as common pattern among male and female. There is no significant difference in Odontometric analysis. The mean value of facial index analysis in both genders shows highly significant.
Conclusion: A large-scale study is required in order to validate our results to arrive at definitive results and value.