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Correlation of age, sex and season with the state of human decomposition as quantified by postmortem computed tomography
Dead bodies exhibit a variable range of changes with advancing decomposition. To quantify intracorporeal gas, the radiological alteration index (RAI) has been implemented in the assessment of postmortem whole-body computed tomography. We used this RAI as a proxy for the state of decomposition. This...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119255/ https://www.ncbi.nlm.nih.gov/pubmed/33587253 http://dx.doi.org/10.1007/s12024-021-00356-2 |
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author | Guebelin, Dominic L. C. Dobay, Akos Ebert, Lars Betschart, Eva Thali, Michael J. Franckenberg, Sabine |
author_facet | Guebelin, Dominic L. C. Dobay, Akos Ebert, Lars Betschart, Eva Thali, Michael J. Franckenberg, Sabine |
author_sort | Guebelin, Dominic L. C. |
collection | PubMed |
description | Dead bodies exhibit a variable range of changes with advancing decomposition. To quantify intracorporeal gas, the radiological alteration index (RAI) has been implemented in the assessment of postmortem whole-body computed tomography. We used this RAI as a proxy for the state of decomposition. This study aimed to (I) investigate the correlation between the state of decomposition and the season in which the body was discovered; and (II) evaluate the correlations between sociodemographic factors (age, sex) and the state of decomposition, by using the RAI as a proxy for the extent of decomposition. In a retrospective study, we analyzed demographic data from all autopsy reports from the Institute of Forensic Medicine of Zurich between January 2017 to July 2019 and evaluated the radiological alteration index from postmortem whole-body computed tomography for each case. The bodies of older males showed the highest RAI. Seasonal effects had no significant influence on the RAI in our urban study population with bodies mostly being discovered indoors. Autopsy reports contain valuable data that allow interpretation for reasons beyond forensic purposes, such as sociopolitical observations. |
format | Online Article Text |
id | pubmed-8119255 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-81192552021-05-26 Correlation of age, sex and season with the state of human decomposition as quantified by postmortem computed tomography Guebelin, Dominic L. C. Dobay, Akos Ebert, Lars Betschart, Eva Thali, Michael J. Franckenberg, Sabine Forensic Sci Med Pathol Original Article Dead bodies exhibit a variable range of changes with advancing decomposition. To quantify intracorporeal gas, the radiological alteration index (RAI) has been implemented in the assessment of postmortem whole-body computed tomography. We used this RAI as a proxy for the state of decomposition. This study aimed to (I) investigate the correlation between the state of decomposition and the season in which the body was discovered; and (II) evaluate the correlations between sociodemographic factors (age, sex) and the state of decomposition, by using the RAI as a proxy for the extent of decomposition. In a retrospective study, we analyzed demographic data from all autopsy reports from the Institute of Forensic Medicine of Zurich between January 2017 to July 2019 and evaluated the radiological alteration index from postmortem whole-body computed tomography for each case. The bodies of older males showed the highest RAI. Seasonal effects had no significant influence on the RAI in our urban study population with bodies mostly being discovered indoors. Autopsy reports contain valuable data that allow interpretation for reasons beyond forensic purposes, such as sociopolitical observations. Springer US 2021-02-15 2021 /pmc/articles/PMC8119255/ /pubmed/33587253 http://dx.doi.org/10.1007/s12024-021-00356-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Guebelin, Dominic L. C. Dobay, Akos Ebert, Lars Betschart, Eva Thali, Michael J. Franckenberg, Sabine Correlation of age, sex and season with the state of human decomposition as quantified by postmortem computed tomography |
title | Correlation of age, sex and season with the state of human decomposition as quantified by postmortem computed tomography |
title_full | Correlation of age, sex and season with the state of human decomposition as quantified by postmortem computed tomography |
title_fullStr | Correlation of age, sex and season with the state of human decomposition as quantified by postmortem computed tomography |
title_full_unstemmed | Correlation of age, sex and season with the state of human decomposition as quantified by postmortem computed tomography |
title_short | Correlation of age, sex and season with the state of human decomposition as quantified by postmortem computed tomography |
title_sort | correlation of age, sex and season with the state of human decomposition as quantified by postmortem computed tomography |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119255/ https://www.ncbi.nlm.nih.gov/pubmed/33587253 http://dx.doi.org/10.1007/s12024-021-00356-2 |
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