Literature DB >> 25030188

Can post-mortem CT reliably distinguish between drowning and non-drowning asphyxiation?

Astrid J L Van Hoyweghen1, Werner Jacobs, Bart Op de Beeck, Paul M Parizel.   

Abstract

PURPOSE: The aim of this study is to evaluate whether previously reported post-mortem CT findings in drowning can reliably distinguish drowning from asphyxiation by any other manner.
MATERIALS AND METHODS: Cases (n = 14) were corpses with cause of death determined as drowning by concordant autopsy findings and physical and circumstantial evidence. Controls (n = 11) were corpses in which the cause of death was defined as asphyxiation by any other manner than submersion in a liquid. Images were evaluated for the presence of fluid in paranasal sinuses, mastoid air cells and lower airways, frothy foam in the upper airways, ground-glass opacity of the lung parenchyma, the height of the right hemi-diaphragm, the interpulmonary distance at the level of the aortic valve, the mean density of intracardiac blood, and gastric and esophageal contents. Descriptive statistics, Fisher's exact test, and Student's t test were used when appropriate.
RESULTS: Only the height of the right hemi-diaphragm differed significantly (p = 0.045) between cases (mean 5.4) and controls (mean 4.3). Other findings were not significantly different between both groups.
CONCLUSION: Our results indicate that it is not possible to reliably distinguish drowning from non-drowning asphyxiation on CT, because many findings in drowning were also present in non-drowning asphyxiation. CT indicators for drowning as the cause of death should therefore be defined with great caution, keeping in mind that they are not specific to only a single cause of death.

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Year:  2014        PMID: 25030188     DOI: 10.1007/s00414-014-1037-6

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  6 in total

1.  Virtual autopsy: two- and three-dimensional multidetector CT findings in drowning with autopsy comparison.

Authors:  Angela D Levy; H Theodore Harcke; John M Getz; Craig T Mallak; James L Caruso; Lisa Pearse; Aletta A Frazier; Jeffrey R Galvin
Journal:  Radiology       Date:  2007-06       Impact factor: 11.105

2.  Drowning--post-mortem imaging findings by computed tomography.

Authors:  Andreas Christe; Emin Aghayev; Christian Jackowski; Michael J Thali; Peter Vock
Journal:  Eur Radiol       Date:  2007-08-29       Impact factor: 5.315

3.  Diagnosis of drowning using post-mortem computed tomography based on the volume and density of fluid accumulation in the maxillary and sphenoid sinuses.

Authors:  Yusuke Kawasumi; Tomoyoshi Kawabata; Yusuke Sugai; Akihito Usui; Yoshiyuki Hosokai; Miho Sato; Haruo Saito; Tadashi Ishibashi; Yoshie Hayashizaki; Masato Funayama
Journal:  Eur J Radiol       Date:  2013-07-23       Impact factor: 3.528

4.  The diagnostic value of the diatom test for drowning, II. Validity: analysis of diatoms in bone marrow and drowning medium.

Authors:  M S Pollanen
Journal:  J Forensic Sci       Date:  1997-03       Impact factor: 1.832

5.  [M. Thali, R. Dirnhofer, P. Vock. The Virtopsy Approach. 3D optical and radiological scanning and reconstruction in forensic medicine (CRC Press, Boca Raton, Fl: CRC Press. London NW. 2009)].

Authors: 
Journal:  Sud Med Ekspert       Date:  2016

6.  Assessment of the relationship between drowning and fluid accumulation in the paranasal sinuses on post-mortem computed tomography.

Authors:  Yusuke Kawasumi; Tomoyoshi Kawabata; Yusuke Sugai; Akihito Usui; Yoshiyuki Hosokai; Miho Sato; Haruo Saito; Tadashi Ishibashi; Yoshie Hayashizaki; Masato Funayama
Journal:  Eur J Radiol       Date:  2012-09-10       Impact factor: 3.528

  6 in total
  1 in total

1.  Post-mortem computed tomography coaxial cutting needle biopsy to facilitate the detection of bacterioplankton using PCR probes as a diagnostic indicator for drowning.

Authors:  Guy N Rutty; Christopher Johnson; Jasmin Amoroso; Claire Robinson; Carina J Bradley; Bruno Morgan
Journal:  Int J Legal Med       Date:  2016-11-05       Impact factor: 2.686

  1 in total

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