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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...

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Autores principales: Alqahtani, Fawaz F., Messina, Fabrizio, Offiah, Amaka C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
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.
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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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