3D Markerless asymmetry analysis in the management of adolescent idiopathic scoliosis
Abstract 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 requir...
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Format: | Article |
Language: | English |
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BMC
2018-10-01
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Series: | BMC Musculoskeletal Disorders |
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Online Access: | http://link.springer.com/article/10.1186/s12891-018-2303-4 |
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author | Maliheh Ghaneei Amin Komeili Yong Li Eric C. Parent Samer Adeeb |
author_facet | Maliheh Ghaneei Amin Komeili Yong Li Eric C. Parent Samer Adeeb |
author_sort | Maliheh Ghaneei |
collection | DOAJ |
description | Abstract 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. |
first_indexed | 2024-12-12T00:52:33Z |
format | Article |
id | doaj.art-dd914a06e8784b6bbf24ea422b48a2a2 |
institution | Directory Open Access Journal |
issn | 1471-2474 |
language | English |
last_indexed | 2024-12-12T00:52:33Z |
publishDate | 2018-10-01 |
publisher | BMC |
record_format | Article |
series | BMC Musculoskeletal Disorders |
spelling | doaj.art-dd914a06e8784b6bbf24ea422b48a2a22022-12-22T00:43:58ZengBMCBMC Musculoskeletal Disorders1471-24742018-10-0119111010.1186/s12891-018-2303-43D Markerless asymmetry analysis in the management of adolescent idiopathic scoliosisMaliheh Ghaneei0Amin Komeili1Yong Li2Eric C. Parent3Samer Adeeb4Department of Civil and Environmental Engineering, Donadeo-ICE, University of AlbertaFaculty of Kinesiology, University of CalgaryDepartment of Civil and Environmental Engineering, Donadeo-ICE, University of AlbertaDepartment of Physical Therapy, Faculty of Rehabilitation Medicine, University of AlbertaDepartment of Civil and Environmental Engineering, Donadeo-ICE, University of AlbertaAbstract 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.http://link.springer.com/article/10.1186/s12891-018-2303-4ScoliosisSurface topography3D markerless asymmetry analysisMonitoringCurve progression |
spellingShingle | Maliheh Ghaneei Amin Komeili Yong Li Eric C. Parent Samer Adeeb 3D Markerless asymmetry analysis in the management of adolescent idiopathic scoliosis BMC Musculoskeletal Disorders Scoliosis Surface topography 3D markerless asymmetry analysis Monitoring Curve progression |
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 | Scoliosis Surface topography 3D markerless asymmetry analysis Monitoring Curve progression |
url | http://link.springer.com/article/10.1186/s12891-018-2303-4 |
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