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A Protocol for Rapid Post-mortem Cell Culture of Diffuse Intrinsic Pontine Glioma DIPG
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Predictive equation to estimate post-mortem interval using spectrophotometric blood-colour values.

Yosuke Usumoto1,2, Keiko Kudo2, Akiko Tsuji2

  • 11 Department of Legal Medicine, Yokohama City University Graduate School of Medicine, Japan.

Medicine, Science, and the Law
|January 10, 2019
PubMed
Summary

This study explores using blood color to estimate the post-mortem interval (PMI). Spectrophotometric analysis of blood samples from 129 cadavers provided accurate PMI estimations up to 67 hours.

Keywords:
Post-mortem lividityblood colourpost-mortem interval (PMI)spectrophotometer

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Area of Science:

  • Forensic science
  • Biophysics
  • Analytical chemistry

Background:

  • Forensic pathologists utilize post-mortem phenomena to determine the time since death.
  • Previous research highlighted the utility of post-mortem lividity spectrophotometry for post-mortem interval (PMI) estimation.
  • This study investigates the potential of blood color as a novel indicator for PMI estimation.

Purpose of the Study:

  • To explore the association between blood color, age, and PMI.
  • To develop predictive equations for estimating PMI based on blood color spectrophotometric values.
  • To assess the accuracy of PMI estimations derived from blood color analysis.

Main Methods:

  • Spectrophotometric analysis of blood samples from 129 cadavers (84 males, 45 females).
  • Measurement of left ventricular, right ventricular, and femoral blood color parameters (L*, a*, b*).
  • Development and validation of predictive equations for blood color and PMI estimation.

Main Results:

  • No significant association found between overall blood color and age or PMI.
  • Specific blood color parameters (a*l, b*l, a*r, b*r) increased with age.
  • Femoral blood color equations demonstrated higher accuracy (higher R², lower RMSE) than ventricular equations.
  • PMI estimations up to 67 hours showed accuracy within 8.84 hours, independent of lividity color or age.

Conclusions:

  • Blood color spectrophotometry offers a novel method for estimating post-mortem intervals.
  • Femoral blood color analysis provides more reliable PMI estimations compared to ventricular blood.
  • This technique offers accurate PMI estimations without the need for post-mortem lividity measurements or age consideration.