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Three-dimensional depth sensor imaging to identify adolescent idiopathic scoliosis: a prospective multicenter cohort study

Adolescent idiopathic scoliosis is the most ordinary pediatric spinal disease that causes a three-dimensional deformity. Early detection of this potentially progressive deformity is considered crucial. The purpose of the present study was to report the potential for accurately diagnosis of adolescen...

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Autores principales: Kokabu, Terufumi, Kawakami, Noriaki, Uno, Koki, Kotani, Toshiaki, Suzuki, Teppei, Abe, Yuichiro, Maeda, Kenichiro, Inage, Fujio, Ito, Yoichi M., Iwasaki, Norimasa, Sudo, Hideki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609683/
https://www.ncbi.nlm.nih.gov/pubmed/31273291
http://dx.doi.org/10.1038/s41598-019-46246-0
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author Kokabu, Terufumi
Kawakami, Noriaki
Uno, Koki
Kotani, Toshiaki
Suzuki, Teppei
Abe, Yuichiro
Maeda, Kenichiro
Inage, Fujio
Ito, Yoichi M.
Iwasaki, Norimasa
Sudo, Hideki
author_facet Kokabu, Terufumi
Kawakami, Noriaki
Uno, Koki
Kotani, Toshiaki
Suzuki, Teppei
Abe, Yuichiro
Maeda, Kenichiro
Inage, Fujio
Ito, Yoichi M.
Iwasaki, Norimasa
Sudo, Hideki
author_sort Kokabu, Terufumi
collection PubMed
description Adolescent idiopathic scoliosis is the most ordinary pediatric spinal disease that causes a three-dimensional deformity. Early detection of this potentially progressive deformity is considered crucial. The purpose of the present study was to report the potential for accurately diagnosis of adolescent idiopathic scoliosis using a newly developed, automated, noninvasive asymmetry-recognition system for the surface of the human back using a three-dimensional depth sensor. We included 170 subjects with suspected adolescent idiopathic scoliosis in this study. Outcomes measured included patient demographics, Cobbe angles from radiographic measurements, and asymmetry indexes. The coefficient of correlation between the asymmetry index and the Cobb angle was 0.85. For the prediction of scoliosis >10°, the area under the curve was 0.98, sensitivity was 0.97, specificity was 0.93, positive predictive value was 0.99, negative predictive value was 0.72, accuracy was 0.97, positive likelihood ratio was 13.55, and negative likelihood ratio was 0.04. The posterior test probability for the positive screen >10° was 98.9% if the asymmetry index was >1.268, three times in a row. This novel system automatically evaluated the back asymmetry. Therefore, this study demonstrates the outstanding discriminative ability of this newly developed system for deciding whether an examinee should undergo additional radiography to define scoliosis. This system can be used as an alternative to the forward bend test and scoliometer measurement in clinics. Future studies should seek to confirm these findings in a larger group and involve mass school scoliosis screening programs within the context of a multicenter trial.
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spelling pubmed-66096832019-07-14 Three-dimensional depth sensor imaging to identify adolescent idiopathic scoliosis: a prospective multicenter cohort study Kokabu, Terufumi Kawakami, Noriaki Uno, Koki Kotani, Toshiaki Suzuki, Teppei Abe, Yuichiro Maeda, Kenichiro Inage, Fujio Ito, Yoichi M. Iwasaki, Norimasa Sudo, Hideki Sci Rep Article Adolescent idiopathic scoliosis is the most ordinary pediatric spinal disease that causes a three-dimensional deformity. Early detection of this potentially progressive deformity is considered crucial. The purpose of the present study was to report the potential for accurately diagnosis of adolescent idiopathic scoliosis using a newly developed, automated, noninvasive asymmetry-recognition system for the surface of the human back using a three-dimensional depth sensor. We included 170 subjects with suspected adolescent idiopathic scoliosis in this study. Outcomes measured included patient demographics, Cobbe angles from radiographic measurements, and asymmetry indexes. The coefficient of correlation between the asymmetry index and the Cobb angle was 0.85. For the prediction of scoliosis >10°, the area under the curve was 0.98, sensitivity was 0.97, specificity was 0.93, positive predictive value was 0.99, negative predictive value was 0.72, accuracy was 0.97, positive likelihood ratio was 13.55, and negative likelihood ratio was 0.04. The posterior test probability for the positive screen >10° was 98.9% if the asymmetry index was >1.268, three times in a row. This novel system automatically evaluated the back asymmetry. Therefore, this study demonstrates the outstanding discriminative ability of this newly developed system for deciding whether an examinee should undergo additional radiography to define scoliosis. This system can be used as an alternative to the forward bend test and scoliometer measurement in clinics. Future studies should seek to confirm these findings in a larger group and involve mass school scoliosis screening programs within the context of a multicenter trial. Nature Publishing Group UK 2019-07-04 /pmc/articles/PMC6609683/ /pubmed/31273291 http://dx.doi.org/10.1038/s41598-019-46246-0 Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kokabu, Terufumi
Kawakami, Noriaki
Uno, Koki
Kotani, Toshiaki
Suzuki, Teppei
Abe, Yuichiro
Maeda, Kenichiro
Inage, Fujio
Ito, Yoichi M.
Iwasaki, Norimasa
Sudo, Hideki
Three-dimensional depth sensor imaging to identify adolescent idiopathic scoliosis: a prospective multicenter cohort study
title Three-dimensional depth sensor imaging to identify adolescent idiopathic scoliosis: a prospective multicenter cohort study
title_full Three-dimensional depth sensor imaging to identify adolescent idiopathic scoliosis: a prospective multicenter cohort study
title_fullStr Three-dimensional depth sensor imaging to identify adolescent idiopathic scoliosis: a prospective multicenter cohort study
title_full_unstemmed Three-dimensional depth sensor imaging to identify adolescent idiopathic scoliosis: a prospective multicenter cohort study
title_short Three-dimensional depth sensor imaging to identify adolescent idiopathic scoliosis: a prospective multicenter cohort study
title_sort three-dimensional depth sensor imaging to identify adolescent idiopathic scoliosis: a prospective multicenter cohort study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609683/
https://www.ncbi.nlm.nih.gov/pubmed/31273291
http://dx.doi.org/10.1038/s41598-019-46246-0
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