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3D Markerless asymmetry analysis in the management of adolescent idiopathic scoliosis
BACKGROUND: Three dimensional (3D) markerless asymmetry analysis was developed to assess and monitor the scoliotic curve. While the developed surface topography (ST) indices demonstrated a strong correlation with the Cobb angle and its change over time, it was reported that the method requires an ex...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201591/ https://www.ncbi.nlm.nih.gov/pubmed/30355330 http://dx.doi.org/10.1186/s12891-018-2303-4 |
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author | Ghaneei, Maliheh Komeili, Amin Li, Yong Parent, Eric C. Adeeb, Samer |
author_facet | Ghaneei, Maliheh Komeili, Amin Li, Yong Parent, Eric C. Adeeb, Samer |
author_sort | Ghaneei, Maliheh |
collection | PubMed |
description | BACKGROUND: Three dimensional (3D) markerless asymmetry analysis was developed to assess and monitor the scoliotic curve. While the developed surface topography (ST) indices demonstrated a strong correlation with the Cobb angle and its change over time, it was reported that the method requires an expert for monitoring the procedure to prevent misclassification for some patients. Therefore, this study aimed at improving the user-independence level of the previously developed 3D markerless asymmetry analysis implementing a new asymmetry threshold without compromising its accuracy in identifying the progressive scoliotic curves. METHODS: A retrospective study was conducted on 128 patients with Adolescent Idiopathic Scoliosis (AIS), with baseline and follow-up radiograph and surface topography assessments. The suggested “cut point” which was used to separate the deformed surfaces of the torso from the undeformed regions, automatically generated deviation patches corresponding to scoliotic curves for all analyzed surface topography scans. RESULTS: By changing the “cut point” in the asymmetry analysis for monitoring scoliotic curves progression, the sensitivity for identifying curve progression was increased from 68 to 75%, while the specificity was decreased from 74 to 59%, compared with the original method with different “cut point”. CONCLUSIONS: These results lead to a more conservative approach in monitoring of scoliotic curves in clinical applications; smaller number of radiographs would be saved, however the risk of having non-measured curves with progression would be decreased. |
format | Online Article Text |
id | pubmed-6201591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62015912018-10-31 3D Markerless asymmetry analysis in the management of adolescent idiopathic scoliosis Ghaneei, Maliheh Komeili, Amin Li, Yong Parent, Eric C. Adeeb, Samer BMC Musculoskelet Disord Research Article BACKGROUND: Three dimensional (3D) markerless asymmetry analysis was developed to assess and monitor the scoliotic curve. While the developed surface topography (ST) indices demonstrated a strong correlation with the Cobb angle and its change over time, it was reported that the method requires an expert for monitoring the procedure to prevent misclassification for some patients. Therefore, this study aimed at improving the user-independence level of the previously developed 3D markerless asymmetry analysis implementing a new asymmetry threshold without compromising its accuracy in identifying the progressive scoliotic curves. METHODS: A retrospective study was conducted on 128 patients with Adolescent Idiopathic Scoliosis (AIS), with baseline and follow-up radiograph and surface topography assessments. The suggested “cut point” which was used to separate the deformed surfaces of the torso from the undeformed regions, automatically generated deviation patches corresponding to scoliotic curves for all analyzed surface topography scans. RESULTS: By changing the “cut point” in the asymmetry analysis for monitoring scoliotic curves progression, the sensitivity for identifying curve progression was increased from 68 to 75%, while the specificity was decreased from 74 to 59%, compared with the original method with different “cut point”. CONCLUSIONS: These results lead to a more conservative approach in monitoring of scoliotic curves in clinical applications; smaller number of radiographs would be saved, however the risk of having non-measured curves with progression would be decreased. BioMed Central 2018-10-24 /pmc/articles/PMC6201591/ /pubmed/30355330 http://dx.doi.org/10.1186/s12891-018-2303-4 Text en © The Author(s). 2018 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 Article Ghaneei, Maliheh Komeili, Amin Li, Yong Parent, Eric C. Adeeb, Samer 3D Markerless asymmetry analysis in the management of adolescent idiopathic scoliosis |
title | 3D Markerless asymmetry analysis in the management of adolescent idiopathic scoliosis |
title_full | 3D Markerless asymmetry analysis in the management of adolescent idiopathic scoliosis |
title_fullStr | 3D Markerless asymmetry analysis in the management of adolescent idiopathic scoliosis |
title_full_unstemmed | 3D Markerless asymmetry analysis in the management of adolescent idiopathic scoliosis |
title_short | 3D Markerless asymmetry analysis in the management of adolescent idiopathic scoliosis |
title_sort | 3d markerless asymmetry analysis in the management of adolescent idiopathic scoliosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201591/ https://www.ncbi.nlm.nih.gov/pubmed/30355330 http://dx.doi.org/10.1186/s12891-018-2303-4 |
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