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Published in: Forensic Science, Medicine and Pathology 4/2014

01-12-2014 | Original Article

A minimum data set approach to post-mortem computed tomography reporting for anthropological biological profiling

Authors: Alison L. Brough, Bruno Morgan, Claire Robinson, Sue Black, Craig Cunningham, Catherine Adams, Guy N. Rutty

Published in: Forensic Science, Medicine and Pathology | Issue 4/2014

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Abstract

Anthropological examination of bones is routinely undertaken in medico-legal investigations to establish an individual’s biological profile, particularly their age. This often requires the removal of soft tissue from bone (de-fleshing), which, especially when dealing with the recently deceased, is a time consuming and invasive procedure. Recent advances in multi-detector computed tomography have made it practical to rapidly acquire high-resolution morphological skeletal information from images of “fleshed” remains. The aim of this study was to develop a short standard form, created from post-mortem computed tomography images, that contains the minimum image-set required to anthropologically assess an individual. The proposed standard forms were created for 31 juvenile forensic cases with known age-at-death, spanning the full age range of the developing human. Five observers independently used this form to estimate age-at-death. All observers estimated age in all cases, and all estimations were within the accepted ranges for traditional anthropological and odontological assessment. This study supports the implementation of this approach in forensic radiological practice.
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Metadata
Title
A minimum data set approach to post-mortem computed tomography reporting for anthropological biological profiling
Authors
Alison L. Brough
Bruno Morgan
Claire Robinson
Sue Black
Craig Cunningham
Catherine Adams
Guy N. Rutty
Publication date
01-12-2014
Publisher
Springer US
Published in
Forensic Science, Medicine and Pathology / Issue 4/2014
Print ISSN: 1547-769X
Electronic ISSN: 1556-2891
DOI
https://doi.org/10.1007/s12024-014-9581-4

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