Cargando…
A field study to evaluate PMI estimation methods for advanced decomposition stages
Estimating the postmortem interval (PMI) is one of the major tasks and a continuous challenge in forensic pathology. It is often an exclusion process of available methods, which ultimately can lead to an unsatisfactory outcome due to poor reliability. This problem is most acute in the late PMI, when...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7295721/ https://www.ncbi.nlm.nih.gov/pubmed/32248308 http://dx.doi.org/10.1007/s00414-020-02278-0 |
_version_ | 1783546698023305216 |
---|---|
author | Pittner, Stefan Bugelli, Valentina Weitgasser, Katharina Zissler, Angela Sanit, Sangob Lutz, Lena Monticelli, Fabio Campobasso, Carlo P. Steinbacher, Peter Amendt, Jens |
author_facet | Pittner, Stefan Bugelli, Valentina Weitgasser, Katharina Zissler, Angela Sanit, Sangob Lutz, Lena Monticelli, Fabio Campobasso, Carlo P. Steinbacher, Peter Amendt, Jens |
author_sort | Pittner, Stefan |
collection | PubMed |
description | Estimating the postmortem interval (PMI) is one of the major tasks and a continuous challenge in forensic pathology. It is often an exclusion process of available methods, which ultimately can lead to an unsatisfactory outcome due to poor reliability. This problem is most acute in the late PMI, when decomposition proceeds and some methods (such as rigor, livor, and algor mortis) are no longer applicable. Several methods, such as forensic entomology, skeletal muscle protein degradation, and the study of body decomposition by application of a morphological scoring, are expected to provide further information; however, all have certain limitations and weaknesses. Availability of a tool-box of methods allows a case-specific selection of the most appropriate one(s), or eventually provides improvements in the overall accuracy and precision of the PMI estimation by merging and combining methods. To investigate practical (field) application, eventual interferences, and/or synergetic effects, as well as the robustness of these methods towards specific influencing factors, a field study was conducted, using eight pig cadavers of different body weights and physical coverage, left to decompose under natural conditions for 16 days. Morphological changes during decomposition were assessed using the total body score (TBS), muscle samples were collected to analyze protein degradation, and insect colonization was evaluated. The results reveal strengths and current limitations of all tested methods, as well as promising synergistic effects, and thus, provide a baseline for targeted future research. |
format | Online Article Text |
id | pubmed-7295721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-72957212020-06-19 A field study to evaluate PMI estimation methods for advanced decomposition stages Pittner, Stefan Bugelli, Valentina Weitgasser, Katharina Zissler, Angela Sanit, Sangob Lutz, Lena Monticelli, Fabio Campobasso, Carlo P. Steinbacher, Peter Amendt, Jens Int J Legal Med Original Article Estimating the postmortem interval (PMI) is one of the major tasks and a continuous challenge in forensic pathology. It is often an exclusion process of available methods, which ultimately can lead to an unsatisfactory outcome due to poor reliability. This problem is most acute in the late PMI, when decomposition proceeds and some methods (such as rigor, livor, and algor mortis) are no longer applicable. Several methods, such as forensic entomology, skeletal muscle protein degradation, and the study of body decomposition by application of a morphological scoring, are expected to provide further information; however, all have certain limitations and weaknesses. Availability of a tool-box of methods allows a case-specific selection of the most appropriate one(s), or eventually provides improvements in the overall accuracy and precision of the PMI estimation by merging and combining methods. To investigate practical (field) application, eventual interferences, and/or synergetic effects, as well as the robustness of these methods towards specific influencing factors, a field study was conducted, using eight pig cadavers of different body weights and physical coverage, left to decompose under natural conditions for 16 days. Morphological changes during decomposition were assessed using the total body score (TBS), muscle samples were collected to analyze protein degradation, and insect colonization was evaluated. The results reveal strengths and current limitations of all tested methods, as well as promising synergistic effects, and thus, provide a baseline for targeted future research. Springer Berlin Heidelberg 2020-04-05 2020 /pmc/articles/PMC7295721/ /pubmed/32248308 http://dx.doi.org/10.1007/s00414-020-02278-0 Text en © The Author(s) 2020 Open Access This 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/. |
spellingShingle | Original Article Pittner, Stefan Bugelli, Valentina Weitgasser, Katharina Zissler, Angela Sanit, Sangob Lutz, Lena Monticelli, Fabio Campobasso, Carlo P. Steinbacher, Peter Amendt, Jens A field study to evaluate PMI estimation methods for advanced decomposition stages |
title | A field study to evaluate PMI estimation methods for advanced decomposition stages |
title_full | A field study to evaluate PMI estimation methods for advanced decomposition stages |
title_fullStr | A field study to evaluate PMI estimation methods for advanced decomposition stages |
title_full_unstemmed | A field study to evaluate PMI estimation methods for advanced decomposition stages |
title_short | A field study to evaluate PMI estimation methods for advanced decomposition stages |
title_sort | field study to evaluate pmi estimation methods for advanced decomposition stages |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7295721/ https://www.ncbi.nlm.nih.gov/pubmed/32248308 http://dx.doi.org/10.1007/s00414-020-02278-0 |
work_keys_str_mv | AT pittnerstefan afieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT bugellivalentina afieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT weitgasserkatharina afieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT zisslerangela afieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT sanitsangob afieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT lutzlena afieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT monticellifabio afieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT campobassocarlop afieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT steinbacherpeter afieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT amendtjens afieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT pittnerstefan fieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT bugellivalentina fieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT weitgasserkatharina fieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT zisslerangela fieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT sanitsangob fieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT lutzlena fieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT monticellifabio fieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT campobassocarlop fieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT steinbacherpeter fieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages AT amendtjens fieldstudytoevaluatepmiestimationmethodsforadvanceddecompositionstages |