Literature DB >> 23891140

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

Yusuke Kawasumi1, Tomoyoshi Kawabata, Yusuke Sugai, Akihito Usui, Yoshiyuki Hosokai, Miho Sato, Haruo Saito, Tadashi Ishibashi, Yoshie Hayashizaki, Masato Funayama.   

Abstract

Recent studies have reported that drowning victims frequently have fluid accumulation in the paranasal sinuses, most notably the maxillary and sphenoid sinuses. However, in our previous study, many non-drowning victims also had fluid accumulation in the sinuses. Therefore, we evaluated the qualitative difference in fluid accumulation between drowning and non-drowning cases in the present study. Thirty-eight drowning and 73 non-drowning cases were investigated retrospectively. The fluid volume and density of each case were calculated using a DICOM workstation. The drowning cases were compared with the non-drowning cases using the Mann-Whitney U-test because the data showed non-normal distribution. The median fluid volume was 1.82 (range 0.02-11.7) ml in the drowning cases and 0.49 (0.03-8.7) ml in the non-drowning cases, and the median fluid density was 22 (-14 to 66) and 39 (-65 to 77) HU, respectively. Both volume and density differed significantly between the drowning and non-drowning cases (p=0.001, p=0.0007). Regarding cut-off levels in the ROC analysis, the points on the ROC curve closest (0, 1) were 1.03ml (sensitivity 68%, specificity 68%, PPV 53%, NPV 81%) and 27.5 HU (61%, 70%, 51%, 77%). The Youden indices were 1.03ml and 37.8 HU (84%, 51%, 47%, 86%). When the cut-off level was set at 1.03ml and 27.5HU, the sensitivity was 42%, specificity 45%, PPV 29% and NPV 60%. When the cut-off level was set at 1.03ml and 37.8HU, sensitivity was 58%, specificity 32%, PPV 31% and NPV 59%.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Keywords:  CT; Computed tomography; DICOM; Drowning; Forensic medicine; MDCT; NPV; PPV; Paranasal sinuses; Post-mortem changes; ROC; computed tomography; digital imaging and communication in medicine; multi-detector computed tomography; negative predictive value; positive predictive value; receiver operating characteristic

Mesh:

Year:  2013        PMID: 23891140     DOI: 10.1016/j.ejrad.2013.06.015

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  4 in total

1.  Distinction between saltwater drowning and freshwater drowning by assessment of sinus fluid on post-mortem computed tomography.

Authors:  Yusuke Kawasumi; Akihito Usui; Yuki Sato; Yumi Sato; Nami Daigaku; Yoshiyuki Hosokai; Yoshie Hayashizaki; Masato Funayama; Tadashi Ishibashi
Journal:  Eur Radiol       Date:  2015-07-11       Impact factor: 5.315

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

Authors:  Astrid J L Van Hoyweghen; Werner Jacobs; Bart Op de Beeck; Paul M Parizel
Journal:  Int J Legal Med       Date:  2014-07-17       Impact factor: 2.686

3.  Role of virtopsy in the post-mortem diagnosis of drowning.

Authors:  Giuseppe Lo Re; Federica Vernuccio; Maria Cristina Galfano; Dario Picone; Livio Milone; Giuseppe La Tona; Antonella Argo; Stefania Zerbo; Sergio Salerno; Paolo Procaccianti; Massimo Midiri; Roberto Lagalla
Journal:  Radiol Med       Date:  2014-07-11       Impact factor: 3.469

4.  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

  4 in total

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