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Histological ageing of fractures in infants: a practical algorithm for assessing infants suspected of accidental or non‐accidental injury
AIMS: This study is the first to systematically document histological features of fractures of known age in infants (≦12 months). It has been used to develop a tabulated database specifically to guide histopathologists to age fractures in children considered to have suffered accidental or non‐accide...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6618162/ https://www.ncbi.nlm.nih.gov/pubmed/30820979 http://dx.doi.org/10.1111/his.13850 |
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author | Naqvi, Anie Raynor, Emma Freemont, Anthony J |
author_facet | Naqvi, Anie Raynor, Emma Freemont, Anthony J |
author_sort | Naqvi, Anie |
collection | PubMed |
description | AIMS: This study is the first to systematically document histological features of fractures of known age in infants (≦12 months). It has been used to develop a tabulated database specifically to guide histopathologists to age fractures in children considered to have suffered accidental or non‐accidental injury (NAI). Currently in the United Kingdom there are insufficient pathologists with experience in histological ageing of fractures to meet the medicolegal need for this examination. This study provides a practical tool that will allow those skilled paediatric and forensic pathologists currently involved in assessing infants for evidence of accidental or non‐accidental injury a basis for extending their assessment into this area of unmet need. METHODS AND RESULTS: One hundred and sixty‐nine fractures of known age at death were obtained from 52 anonymised infants over a period of 32 years (1985–2016 inclusive). Sections stained using haematoxylin and eosin (H&E) and Martius scarlet blue (MSB) were used to identify specific histological features and to relate them to fracture age. In 1999 the data were entered into a tabulated database for fractures accumulated between from 1985 to 1998 inclusive. Thereafter cases were added, and at 2‐yearly intervals the accumulated data were audited against the previous database and adjustments made. CONCLUSIONS: This paper describes the final data set from the 2017 audit. The study was terminated at the end of 2016, as there had been no material changes in the data set for three consecutive audits. |
format | Online Article Text |
id | pubmed-6618162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66181622019-07-22 Histological ageing of fractures in infants: a practical algorithm for assessing infants suspected of accidental or non‐accidental injury Naqvi, Anie Raynor, Emma Freemont, Anthony J Histopathology Original Articles AIMS: This study is the first to systematically document histological features of fractures of known age in infants (≦12 months). It has been used to develop a tabulated database specifically to guide histopathologists to age fractures in children considered to have suffered accidental or non‐accidental injury (NAI). Currently in the United Kingdom there are insufficient pathologists with experience in histological ageing of fractures to meet the medicolegal need for this examination. This study provides a practical tool that will allow those skilled paediatric and forensic pathologists currently involved in assessing infants for evidence of accidental or non‐accidental injury a basis for extending their assessment into this area of unmet need. METHODS AND RESULTS: One hundred and sixty‐nine fractures of known age at death were obtained from 52 anonymised infants over a period of 32 years (1985–2016 inclusive). Sections stained using haematoxylin and eosin (H&E) and Martius scarlet blue (MSB) were used to identify specific histological features and to relate them to fracture age. In 1999 the data were entered into a tabulated database for fractures accumulated between from 1985 to 1998 inclusive. Thereafter cases were added, and at 2‐yearly intervals the accumulated data were audited against the previous database and adjustments made. CONCLUSIONS: This paper describes the final data set from the 2017 audit. The study was terminated at the end of 2016, as there had been no material changes in the data set for three consecutive audits. John Wiley and Sons Inc. 2019-04-29 2019-07 /pmc/articles/PMC6618162/ /pubmed/30820979 http://dx.doi.org/10.1111/his.13850 Text en © 2019 Authors. Histopathology Published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Naqvi, Anie Raynor, Emma Freemont, Anthony J Histological ageing of fractures in infants: a practical algorithm for assessing infants suspected of accidental or non‐accidental injury |
title | Histological ageing of fractures in infants: a practical algorithm for assessing infants suspected of accidental or non‐accidental injury |
title_full | Histological ageing of fractures in infants: a practical algorithm for assessing infants suspected of accidental or non‐accidental injury |
title_fullStr | Histological ageing of fractures in infants: a practical algorithm for assessing infants suspected of accidental or non‐accidental injury |
title_full_unstemmed | Histological ageing of fractures in infants: a practical algorithm for assessing infants suspected of accidental or non‐accidental injury |
title_short | Histological ageing of fractures in infants: a practical algorithm for assessing infants suspected of accidental or non‐accidental injury |
title_sort | histological ageing of fractures in infants: a practical algorithm for assessing infants suspected of accidental or non‐accidental injury |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6618162/ https://www.ncbi.nlm.nih.gov/pubmed/30820979 http://dx.doi.org/10.1111/his.13850 |
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