HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Medicine / Faculty of Medicine >
Peer-reviewed Journal Articles, etc >

Automated noninvasive detection of idiopathic scoliosis in children and adolescents : A principle validation study

This item is licensed under:Creative Commons Attribution 4.0 International

Files in This Item:
41598_2018_36360_MOESM1_ESM.docSupplementary information17.62 MBMicrosoft WordView/Open
s41598-018-36360-w.pdf1.43 MBPDFView/Open
Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/72938

Title: Automated noninvasive detection of idiopathic scoliosis in children and adolescents : A principle validation study
Authors: Sudo, Hideki Browse this author →KAKEN DB
Kokabu, Terufumi Browse this author
Abe, Yuichiro Browse this author
Iwata, Akira Browse this author
Yamada, Katsuhisa Browse this author
Ito, Yoichi M. Browse this author →KAKEN DB
Iwasaki, Norimasa Browse this author →KAKEN DB
Kanai, Satoshi Browse this author
Issue Date: 7-Dec-2018
Publisher: Nature research
Journal Title: Scientific reports
Volume: 8
Start Page: 17714
Publisher DOI: 10.1038/s41598-018-36360-w
Abstract: Idiopathic scoliosis is the most common pediatric musculoskeletal disorder that causes a three-dimensional deformity of the spine. Early detection of this progressive aliment is essential. The aim of this study is to determine outcomes using a newly developed automated asymmetry-evaluation system for the surface of the human back using a three-dimensional depth sensor. Seventy-six human subjects suspected to have idiopathic scoliosis were included in this study. Outcome measures include patient demographics, radiographic measurements, and asymmetry indexes defined in the automated asymmetry-recognition system. The mean time from scanning to analysis was 1.5 seconds. For predicting idiopathic scoliosis of greater than 25°, the area under the curve was 0.96, sensitivity was 0.97, and specificity was 0.88. The coefficient of variation for repeatability analyses using phantom models was 1-4%. The intraclass correlation coefficient obtained for intra-observer repeatability for human subjects was 0.995. The system three-dimensionally scans multiple points on the back, enabling an automated evaluation of the back's asymmetry in a few seconds. This study demonstrated discriminative ability in determining whether an examinee requires an additional x-ray to confirm diagnosis.
Rights: http://creativecommons.org/licenses/by/4.0/
Type: article
URI: http://hdl.handle.net/2115/72938
Appears in Collections:医学院・医学研究院 (Graduate School of Medicine / Faculty of Medicine) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 須藤 英毅

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 

 - Hokkaido University