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Improving the quantitative classification of Erlenmeyer flask deformities
The Erlenmeyer flask deformity is a common skeletal modeling deformity, but current classification systems are binary and may restrict its utility as a predictor of associated skeletal conditions. A quantifiable 3-point system of severity classification could improve its predictive potential in dise...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736022/ https://www.ncbi.nlm.nih.gov/pubmed/32734372 http://dx.doi.org/10.1007/s00256-020-03561-2 |
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author | Adusumilli, Gautam Kaggie, Joshua D. D’Amore, Simona Cox, Timothy M. Deegan, Patrick MacKay, James W. McDonald, Scott |
author_facet | Adusumilli, Gautam Kaggie, Joshua D. D’Amore, Simona Cox, Timothy M. Deegan, Patrick MacKay, James W. McDonald, Scott |
author_sort | Adusumilli, Gautam |
collection | PubMed |
description | The Erlenmeyer flask deformity is a common skeletal modeling deformity, but current classification systems are binary and may restrict its utility as a predictor of associated skeletal conditions. A quantifiable 3-point system of severity classification could improve its predictive potential in disease. Ratios were derived from volumes of regions of interests drawn in 50 Gaucher’s disease patients. ROIs were drawn from the distal physis to 2 cm proximal, 2 cm to 4 cm, and 4 cm to 6 cm. Width was also measured at each of these boundaries. Two readers rated these 100 femurs using a 3-point scale of severity classification. Weighted kappa indicated reliability and one-way analysis of variance characterized ratio differences across the severity scale. Accuracy analyses allowed determination of clinical cutoffs for each ratio. Pearson’s correlations assessed the associations of volume and width with a shape-based concavity metric of the femur. The volume ratio incorporating the metaphyseal region from 0 to 2 cm and the diametaphyseal region at 4–6 cm was most accurate at distinguishing femurs on the 3-point scale. Receiver operating characteristic curves for this ratio indicated areas of 0.95 to distinguish normal and mild femurs and 0.93 to distinguish mild and severe femurs. Volume was moderately associated with the degree of femur concavity. The proposed volume ratio method is an objective, proficient method at distinguishing severities of the Erlenmeyer flask deformity with the potential for automation. This may have application across diseases associated with the deformity and deficient osteoclast-mediated modeling of growing bone. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00256-020-03561-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7736022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-77360222020-12-17 Improving the quantitative classification of Erlenmeyer flask deformities Adusumilli, Gautam Kaggie, Joshua D. D’Amore, Simona Cox, Timothy M. Deegan, Patrick MacKay, James W. McDonald, Scott Skeletal Radiol Scientific Article The Erlenmeyer flask deformity is a common skeletal modeling deformity, but current classification systems are binary and may restrict its utility as a predictor of associated skeletal conditions. A quantifiable 3-point system of severity classification could improve its predictive potential in disease. Ratios were derived from volumes of regions of interests drawn in 50 Gaucher’s disease patients. ROIs were drawn from the distal physis to 2 cm proximal, 2 cm to 4 cm, and 4 cm to 6 cm. Width was also measured at each of these boundaries. Two readers rated these 100 femurs using a 3-point scale of severity classification. Weighted kappa indicated reliability and one-way analysis of variance characterized ratio differences across the severity scale. Accuracy analyses allowed determination of clinical cutoffs for each ratio. Pearson’s correlations assessed the associations of volume and width with a shape-based concavity metric of the femur. The volume ratio incorporating the metaphyseal region from 0 to 2 cm and the diametaphyseal region at 4–6 cm was most accurate at distinguishing femurs on the 3-point scale. Receiver operating characteristic curves for this ratio indicated areas of 0.95 to distinguish normal and mild femurs and 0.93 to distinguish mild and severe femurs. Volume was moderately associated with the degree of femur concavity. The proposed volume ratio method is an objective, proficient method at distinguishing severities of the Erlenmeyer flask deformity with the potential for automation. This may have application across diseases associated with the deformity and deficient osteoclast-mediated modeling of growing bone. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00256-020-03561-2) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-07-30 2021 /pmc/articles/PMC7736022/ /pubmed/32734372 http://dx.doi.org/10.1007/s00256-020-03561-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Scientific Article Adusumilli, Gautam Kaggie, Joshua D. D’Amore, Simona Cox, Timothy M. Deegan, Patrick MacKay, James W. McDonald, Scott Improving the quantitative classification of Erlenmeyer flask deformities |
title | Improving the quantitative classification of Erlenmeyer flask deformities |
title_full | Improving the quantitative classification of Erlenmeyer flask deformities |
title_fullStr | Improving the quantitative classification of Erlenmeyer flask deformities |
title_full_unstemmed | Improving the quantitative classification of Erlenmeyer flask deformities |
title_short | Improving the quantitative classification of Erlenmeyer flask deformities |
title_sort | improving the quantitative classification of erlenmeyer flask deformities |
topic | Scientific Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736022/ https://www.ncbi.nlm.nih.gov/pubmed/32734372 http://dx.doi.org/10.1007/s00256-020-03561-2 |
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