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Are semi-automated software program designed for adults accurate for the identification of vertebral fractures in children?
OBJECTIVES: To assess whether diagnostic accuracy of morphometric vertebral fracture (VF) diagnosis in children can be improved using AVERT™ (a 33-point semi-automated program developed for VF diagnosis in adults) compared with SpineAnalyzer™ (a 6-point program), which has previously been shown to b...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6828619/ https://www.ncbi.nlm.nih.gov/pubmed/31119416 http://dx.doi.org/10.1007/s00330-019-06250-4 |
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author | Alqahtani, Fawaz F. Messina, Fabrizio Offiah, Amaka C. |
author_facet | Alqahtani, Fawaz F. Messina, Fabrizio Offiah, Amaka C. |
author_sort | Alqahtani, Fawaz F. |
collection | PubMed |
description | OBJECTIVES: To assess whether diagnostic accuracy of morphometric vertebral fracture (VF) diagnosis in children can be improved using AVERT™ (a 33-point semi-automated program developed for VF diagnosis in adults) compared with SpineAnalyzer™ (a 6-point program), which has previously been shown to be of insufficient accuracy. MATERIALS AND METHODS: Lateral spine radiographs (XR) and dual-energy X-ray absorptiometry (DXA) scans of 50 children and young people were analysed by two observers using two different programs (AVERT™ and SpineAnalyzer™). Diagnostic accuracy (sensitivity, specificity, false-negative (FN) and false-positive rates (FP)) was calculated by comparing with a previously established consensus arrived at by three experienced paediatric musculoskeletal radiologists, using a simplified algorithm-based qualitative scoring system. Observer agreement was calculated using Cohen’s kappa. RESULTS: For XR, overall sensitivity, specificity, FP and FN rates using AVERT™ were 36%, 95%, 5% and 64% respectively and 26%, 98%, 2% and 75% respectively, using SpineAnalyzer™. For DXA, overall sensitivity, specificity, FP and FN rates using AVERT™ were 41%, 91%, 9% and 59% respectively and 31%, 96%, 4% and 69% respectively, using SpineAnalyzer. Reliability (kappa) ranged from 0.34 to 0.37 (95%CI, 0.26–0.46) for AVERT™ and from 0.26 to 0.31 (95%CI, 0.16–0.44) for SpineAnalyzer™. Inter- and intra-observer agreement ranged from 0.41 to 0.47 for AVERT™ and from 0.50 to 0.79 for SpineAnalyzer™. CONCLUSION: AVERT™ has slightly higher accuracy but lower observer reliability for the representation of vertebral morphometry in children when compared with SpineAnalyzer™. However, neither software program is satisfactorily reliable for VF diagnosis in children. KEY POINTS: • SpineAnalyzer™ and AVERT™ have low diagnostic accuracy and observer agreement when compared to three paediatric radiologists’ readings for the diagnosis of vertebral fractures (VF) in children. • Neither AVERT™ nor SpineAnalyzer™ is satisfactorily reliable for VF diagnosis in children. • Development of specific paediatric software and normative values (incorporating age-related physiological variation in children) is required. |
format | Online Article Text |
id | pubmed-6828619 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-68286192019-11-18 Are semi-automated software program designed for adults accurate for the identification of vertebral fractures in children? Alqahtani, Fawaz F. Messina, Fabrizio Offiah, Amaka C. Eur Radiol Paediatric OBJECTIVES: To assess whether diagnostic accuracy of morphometric vertebral fracture (VF) diagnosis in children can be improved using AVERT™ (a 33-point semi-automated program developed for VF diagnosis in adults) compared with SpineAnalyzer™ (a 6-point program), which has previously been shown to be of insufficient accuracy. MATERIALS AND METHODS: Lateral spine radiographs (XR) and dual-energy X-ray absorptiometry (DXA) scans of 50 children and young people were analysed by two observers using two different programs (AVERT™ and SpineAnalyzer™). Diagnostic accuracy (sensitivity, specificity, false-negative (FN) and false-positive rates (FP)) was calculated by comparing with a previously established consensus arrived at by three experienced paediatric musculoskeletal radiologists, using a simplified algorithm-based qualitative scoring system. Observer agreement was calculated using Cohen’s kappa. RESULTS: For XR, overall sensitivity, specificity, FP and FN rates using AVERT™ were 36%, 95%, 5% and 64% respectively and 26%, 98%, 2% and 75% respectively, using SpineAnalyzer™. For DXA, overall sensitivity, specificity, FP and FN rates using AVERT™ were 41%, 91%, 9% and 59% respectively and 31%, 96%, 4% and 69% respectively, using SpineAnalyzer. Reliability (kappa) ranged from 0.34 to 0.37 (95%CI, 0.26–0.46) for AVERT™ and from 0.26 to 0.31 (95%CI, 0.16–0.44) for SpineAnalyzer™. Inter- and intra-observer agreement ranged from 0.41 to 0.47 for AVERT™ and from 0.50 to 0.79 for SpineAnalyzer™. CONCLUSION: AVERT™ has slightly higher accuracy but lower observer reliability for the representation of vertebral morphometry in children when compared with SpineAnalyzer™. However, neither software program is satisfactorily reliable for VF diagnosis in children. KEY POINTS: • SpineAnalyzer™ and AVERT™ have low diagnostic accuracy and observer agreement when compared to three paediatric radiologists’ readings for the diagnosis of vertebral fractures (VF) in children. • Neither AVERT™ nor SpineAnalyzer™ is satisfactorily reliable for VF diagnosis in children. • Development of specific paediatric software and normative values (incorporating age-related physiological variation in children) is required. Springer Berlin Heidelberg 2019-05-22 2019 /pmc/articles/PMC6828619/ /pubmed/31119416 http://dx.doi.org/10.1007/s00330-019-06250-4 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Paediatric Alqahtani, Fawaz F. Messina, Fabrizio Offiah, Amaka C. Are semi-automated software program designed for adults accurate for the identification of vertebral fractures in children? |
title | Are semi-automated software program designed for adults accurate for the identification of vertebral fractures in children? |
title_full | Are semi-automated software program designed for adults accurate for the identification of vertebral fractures in children? |
title_fullStr | Are semi-automated software program designed for adults accurate for the identification of vertebral fractures in children? |
title_full_unstemmed | Are semi-automated software program designed for adults accurate for the identification of vertebral fractures in children? |
title_short | Are semi-automated software program designed for adults accurate for the identification of vertebral fractures in children? |
title_sort | are semi-automated software program designed for adults accurate for the identification of vertebral fractures in children? |
topic | Paediatric |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6828619/ https://www.ncbi.nlm.nih.gov/pubmed/31119416 http://dx.doi.org/10.1007/s00330-019-06250-4 |
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