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Application of two-parameter scoliometer values for predicting scoliotic Cobb angle
BACKGROUND: Adolescent idiopathic scoliosis, in which obvious curves are visible in radiographic images, is also seen in combination with lumps in the back. These lumps contribute to inclination, which can be measured by a scoliometer. To the authors’ knowledge, there are no previous formulas combin...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716015/ https://www.ncbi.nlm.nih.gov/pubmed/29202876 http://dx.doi.org/10.1186/s12938-017-0427-7 |
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author | Ma, Hsuan-Hsiao Tai, Ching-Lung Chen, Lih-Huei Niu, Chi-Chien Chen, Wen-Jer Lai, Po-Liang |
author_facet | Ma, Hsuan-Hsiao Tai, Ching-Lung Chen, Lih-Huei Niu, Chi-Chien Chen, Wen-Jer Lai, Po-Liang |
author_sort | Ma, Hsuan-Hsiao |
collection | PubMed |
description | BACKGROUND: Adolescent idiopathic scoliosis, in which obvious curves are visible in radiographic images, is also seen in combination with lumps in the back. These lumps contribute to inclination, which can be measured by a scoliometer. To the authors’ knowledge, there are no previous formulas combining thoracic and lumbar scoliometer values simultaneously to predict thoracic and lumbar Cobb angles, respectively. This study aimed to create more accurate two-parameter mathematical formulas for predicting thoracic and lumbar Cobb angles. METHODS: Between Dec. 2012 and Jan. 2013, patients diagnosed with idiopathic scoliosis in an outpatient clinic were enrolled. The maximal trunk rotations at the thoracic and lumbar regions were recorded with a scoliometer. Right asymmetry hump was deemed positive (+), and left asymmetry hump was deemed negative (−). The Cobb angles were measured with a Picture Archiving and Communication System. Statistical analysis included Pearson’s correlation coefficient, multivariate regression and Bland–Atman analysis. RESULTS: One-hundred and one patients were enrolled in our study. The average thoracic curve (TC) was 23.3 ± 1.8°, while the average lumbar curve (LC) was − 23.3 ± 1.4°. The thoracic inclination (TI) and lumbar inclination (LI) were 4.5 ± 0.7 and − 5.9 ± 0.6, respectively. The one-parameter formula for the thoracic curve was TC = 2.0 TI + 14.3 (r = 0.813); for the lumbar curve, it was LC = 0.9 LI − 16.9 (r = 0.409). By multivariate regression, the two-parameter formulas for the thoracic and lumbar curves were TC = 2.6 TI − 1.4 LI (r = 0.931) and LC = − 1.5 TI + 2.0 LI (r = 0.874), respectively. The two-parameter formulas were more accurate than the one-parameter formulas. CONCLUSIONS: Based on the results of these two-parameter formulas for thoracic and lumbar curves, the Cobb angles can be predicted more accurately by the readings of the scoliometer. Physicians and other healthcare practitioners can thus evaluate patients with scoliosis more precisely than before with a scoliometer. |
format | Online Article Text |
id | pubmed-5716015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57160152017-12-08 Application of two-parameter scoliometer values for predicting scoliotic Cobb angle Ma, Hsuan-Hsiao Tai, Ching-Lung Chen, Lih-Huei Niu, Chi-Chien Chen, Wen-Jer Lai, Po-Liang Biomed Eng Online Research BACKGROUND: Adolescent idiopathic scoliosis, in which obvious curves are visible in radiographic images, is also seen in combination with lumps in the back. These lumps contribute to inclination, which can be measured by a scoliometer. To the authors’ knowledge, there are no previous formulas combining thoracic and lumbar scoliometer values simultaneously to predict thoracic and lumbar Cobb angles, respectively. This study aimed to create more accurate two-parameter mathematical formulas for predicting thoracic and lumbar Cobb angles. METHODS: Between Dec. 2012 and Jan. 2013, patients diagnosed with idiopathic scoliosis in an outpatient clinic were enrolled. The maximal trunk rotations at the thoracic and lumbar regions were recorded with a scoliometer. Right asymmetry hump was deemed positive (+), and left asymmetry hump was deemed negative (−). The Cobb angles were measured with a Picture Archiving and Communication System. Statistical analysis included Pearson’s correlation coefficient, multivariate regression and Bland–Atman analysis. RESULTS: One-hundred and one patients were enrolled in our study. The average thoracic curve (TC) was 23.3 ± 1.8°, while the average lumbar curve (LC) was − 23.3 ± 1.4°. The thoracic inclination (TI) and lumbar inclination (LI) were 4.5 ± 0.7 and − 5.9 ± 0.6, respectively. The one-parameter formula for the thoracic curve was TC = 2.0 TI + 14.3 (r = 0.813); for the lumbar curve, it was LC = 0.9 LI − 16.9 (r = 0.409). By multivariate regression, the two-parameter formulas for the thoracic and lumbar curves were TC = 2.6 TI − 1.4 LI (r = 0.931) and LC = − 1.5 TI + 2.0 LI (r = 0.874), respectively. The two-parameter formulas were more accurate than the one-parameter formulas. CONCLUSIONS: Based on the results of these two-parameter formulas for thoracic and lumbar curves, the Cobb angles can be predicted more accurately by the readings of the scoliometer. Physicians and other healthcare practitioners can thus evaluate patients with scoliosis more precisely than before with a scoliometer. BioMed Central 2017-12-04 /pmc/articles/PMC5716015/ /pubmed/29202876 http://dx.doi.org/10.1186/s12938-017-0427-7 Text en © The Author(s) 2017 Open AccessThis 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Ma, Hsuan-Hsiao Tai, Ching-Lung Chen, Lih-Huei Niu, Chi-Chien Chen, Wen-Jer Lai, Po-Liang Application of two-parameter scoliometer values for predicting scoliotic Cobb angle |
title | Application of two-parameter scoliometer values for predicting scoliotic Cobb angle |
title_full | Application of two-parameter scoliometer values for predicting scoliotic Cobb angle |
title_fullStr | Application of two-parameter scoliometer values for predicting scoliotic Cobb angle |
title_full_unstemmed | Application of two-parameter scoliometer values for predicting scoliotic Cobb angle |
title_short | Application of two-parameter scoliometer values for predicting scoliotic Cobb angle |
title_sort | application of two-parameter scoliometer values for predicting scoliotic cobb angle |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716015/ https://www.ncbi.nlm.nih.gov/pubmed/29202876 http://dx.doi.org/10.1186/s12938-017-0427-7 |
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