Evidence map›Paper›PMID 39162803›Full record

ArticleInternational journal of legal medicine2024

Age estimation on post-mortem CT based on pelvic bone mineral density measurement and the state of putrefaction: a multivariate method.

Eulalie Pefferkorn, Ophélie Guillerme, Pauline Saint-Martin, Frédéric Savall, Fabrice Dedouit, Norbert Telmon

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Article in International journal of legal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Eulalie PefferkornInstitute of Legal Medicine, CHRU TOURS, Trousseau Hospital, Avenue de La République, 37170, Chambray-Lès-Tours, France. e.pefferkorn@gmail.com.
Ophélie GuillermeInstitute of Legal Medicine, CHRU TOURS, Trousseau Hospital, Avenue de La République, 37170, Chambray-Lès-Tours, France.
Pauline Saint-MartinInstitute of Legal Medicine, CHRU TOURS, Trousseau Hospital, Avenue de La République, 37170, Chambray-Lès-Tours, France.
Frédéric SavallCenter of Anthropobiology and Genomics of Toulouse, UMR 5288 (CNRS/UT3) - Faculté de Médecine de Purpan, 37 allées J. Guesde, 31000, Toulouse, France.
Fabrice DedouitCenter of Anthropobiology and Genomics of Toulouse, UMR 5288 (CNRS/UT3) - Faculté de Médecine de Purpan, 37 allées J. Guesde, 31000, Toulouse, France.
Norbert TelmonCenter of Anthropobiology and Genomics of Toulouse, UMR 5288 (CNRS/UT3) - Faculté de Médecine de Purpan, 37 allées J. Guesde, 31000, Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age-at-death estimation is an important issue in forensic medicine and anthropology. Initially, methods relied on morphological criteria, but with the advancement of radiology, new techniques such as morphological studies on multi-slice computed tomography (CT) reconstructions have emerged. Recent studies have shown promising results by investigating the correlation between age and bone mineral density (BMD). However, there is currently a lack of data on post-mortem CTs (PMCT) involving decomposed bodies, and limited information exists regarding changes in Hounsfield Units measurement in a post-mortem context. In light of these gaps, our study aimed to examine the relationship between age at death and pubic and ilium BMD using a sample of forensic bodies. We also aimed to determine whether post-mortem processes, such as putrefaction, could interfere with this correlation. Our retrospective analysis encompassed 637 PMCTs conducted before medicolegal autopsies at Tours University Hospital. Utilizing simple and multiple linear regressions, we investigated the correlation between age and pubic and ilium BMD, as well as the relationship between BMD and the radiologic alteration index (RAI), a scale employed to quantify the degree of putrefaction. Our findings indicate promising outcomes in age-at-death estimation using pubic and/or ilium BMD for bodies exhibiting no or moderate decomposition (RAI < 80), particularly among individuals under 40 years old. However, for highly decomposed corpses (RAI ≥ 80), the presence of gas infiltration significantly influences the BMD of both the ilium and pubis. Consequently, we advocate for the incorporation of the RAI score into the age estimation equation to enhance the accuracy of our results in such cases. Further investigation involving a larger cohort of decomposed bodies could facilitate refinement and validation of our method within this specific population.

Indexed as

Age Determination by SkeletonBone DensityIliumAdolescentAdultAgedAged, 80 and overAutopsyFemaleHumansLinear ModelsMaleMiddle AgedMultivariate AnalysisPelvic BonesPostmortem ChangesAge estimationAnthropologyBone mineral densityForensicPostmortem CTsRadiological alteration index

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.