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Post mortem computed tomography meets radiomics: a case series on fractal analysis of post mortem changes in the brain

Estimating the post-mortem interval is a fundamental, albeit challenging task in forensic sciences. To this aim, forensic practitioners need to assess post-mortem changes through a plethora of different methods, most of which are inherently qualitative, thus providing broad time intervals rather tha...

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Autores principales: De-Giorgio, Fabio, Ciasca, Gabriele, Fecondo, Gennaro, Mazzini, Alberto, Di Santo, Riccardo, De Spirito, Marco, Pascali, Vincenzo L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005394/
https://www.ncbi.nlm.nih.gov/pubmed/35239030
http://dx.doi.org/10.1007/s00414-022-02801-5
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author De-Giorgio, Fabio
Ciasca, Gabriele
Fecondo, Gennaro
Mazzini, Alberto
Di Santo, Riccardo
De Spirito, Marco
Pascali, Vincenzo L.
author_facet De-Giorgio, Fabio
Ciasca, Gabriele
Fecondo, Gennaro
Mazzini, Alberto
Di Santo, Riccardo
De Spirito, Marco
Pascali, Vincenzo L.
author_sort De-Giorgio, Fabio
collection PubMed
description Estimating the post-mortem interval is a fundamental, albeit challenging task in forensic sciences. To this aim, forensic practitioners need to assess post-mortem changes through a plethora of different methods, most of which are inherently qualitative, thus providing broad time intervals rather than precise determinations. This challenging problem is further complicated by the influence of environmental factors, which modify the temporal dynamics of post-mortem changes, sometimes in a rather unpredictable fashion. In this context, the search for quantitative and objective descriptors of post-mortem changes is highly demanded. In this study, we used computed tomography (CT) to assess the post-mortem anatomical modifications occurring in the time interval 0–4 days after death in the brain of four corpses. Our results show that fractal analysis of CT brain slices provides a set of quantitative descriptors able to map post-mortem changes over time throughout the whole brain. Although incapable of producing a direct estimation of the PMI, these descriptors could be used in combination with other more established methods to improve the accuracy and reliability of PMI determination.
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spelling pubmed-90053942022-04-14 Post mortem computed tomography meets radiomics: a case series on fractal analysis of post mortem changes in the brain De-Giorgio, Fabio Ciasca, Gabriele Fecondo, Gennaro Mazzini, Alberto Di Santo, Riccardo De Spirito, Marco Pascali, Vincenzo L. Int J Legal Med Original Article Estimating the post-mortem interval is a fundamental, albeit challenging task in forensic sciences. To this aim, forensic practitioners need to assess post-mortem changes through a plethora of different methods, most of which are inherently qualitative, thus providing broad time intervals rather than precise determinations. This challenging problem is further complicated by the influence of environmental factors, which modify the temporal dynamics of post-mortem changes, sometimes in a rather unpredictable fashion. In this context, the search for quantitative and objective descriptors of post-mortem changes is highly demanded. In this study, we used computed tomography (CT) to assess the post-mortem anatomical modifications occurring in the time interval 0–4 days after death in the brain of four corpses. Our results show that fractal analysis of CT brain slices provides a set of quantitative descriptors able to map post-mortem changes over time throughout the whole brain. Although incapable of producing a direct estimation of the PMI, these descriptors could be used in combination with other more established methods to improve the accuracy and reliability of PMI determination. Springer Berlin Heidelberg 2022-03-03 2022 /pmc/articles/PMC9005394/ /pubmed/35239030 http://dx.doi.org/10.1007/s00414-022-02801-5 Text en © The Author(s) 2022, corrected publication 2022 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
De-Giorgio, Fabio
Ciasca, Gabriele
Fecondo, Gennaro
Mazzini, Alberto
Di Santo, Riccardo
De Spirito, Marco
Pascali, Vincenzo L.
Post mortem computed tomography meets radiomics: a case series on fractal analysis of post mortem changes in the brain
title Post mortem computed tomography meets radiomics: a case series on fractal analysis of post mortem changes in the brain
title_full Post mortem computed tomography meets radiomics: a case series on fractal analysis of post mortem changes in the brain
title_fullStr Post mortem computed tomography meets radiomics: a case series on fractal analysis of post mortem changes in the brain
title_full_unstemmed Post mortem computed tomography meets radiomics: a case series on fractal analysis of post mortem changes in the brain
title_short Post mortem computed tomography meets radiomics: a case series on fractal analysis of post mortem changes in the brain
title_sort post mortem computed tomography meets radiomics: a case series on fractal analysis of post mortem changes in the brain
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005394/
https://www.ncbi.nlm.nih.gov/pubmed/35239030
http://dx.doi.org/10.1007/s00414-022-02801-5
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