Evidence map›Paper›PMID 30532023›Full record

ArticleScientific reports2018

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

Hideki Sudo, Terufumi Kokabu, Yuichiro Abe, Akira Iwata, Katsuhisa Yamada, Yoichi M Ito, Norimasa Iwasaki, Satoshi Kanai

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  4. Radiation-free 3D assessment of back height differences via three-dimensional depth sensing in adolescent idiopathic scoliosis: prospective, single-center, observational study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Observational
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  6. The Nuss and reverse Nuss procedure paradox: divergent outcomes in scoliosis risk for pectus excavatum and pectus carinatum patients.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
    Article
  7. Multi-task learning for classification and prediction of adolescent idiopathic scoliosis based on fringe-projection three-dimensional imaging.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Hideki SudoDepartment of Advanced Medicine for Spine and Spinal Cord Disorders, Faculty of Medicine and Graduate of Medicine, Hokkaido University, N15W7, Sapporo, Hokkaido, 060-8638, Japan. hidekisudo@yahoo.co.jp.
Terufumi KokabuDepartment of Orthopaedic Surgery, Hokkaido University Hospital, N14W5, Sapporo, Hokkaido, 060-8648, Japan.
Yuichiro AbeDepartment of Orthopaedic Surgery, Eniwa Hospital, Koganechuo 2-1-1, Eniwa, Hokkaido, 061-1449, Japan.ORCID http://orcid.org/0000-0001-5073-0827
Akira IwataDepartment of Orthopaedic Surgery, Hokkaido University Hospital, N14W5, Sapporo, Hokkaido, 060-8648, Japan.
Katsuhisa YamadaDepartment of Orthopaedic Surgery, Hokkaido University Hospital, N14W5, Sapporo, Hokkaido, 060-8648, Japan.
Yoichi M ItoDepartment of Biostatistics, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan.
Norimasa IwasakiDepartment of Orthopaedic Surgery, Hokkaido University Hospital, N14W5, Sapporo, Hokkaido, 060-8648, Japan.
Satoshi KanaiDivision of Systems Science and Informatics, Hokkaido University Graduate School of Information Science and Technology, N14W9, Sapporo, Hokkaido, 060-0814, Japan.
Hokkaido University Hospital · JPHokkaido University · JPMiwa Hospital · JP

Funding

Japan Agency for Medical Research and Development (AMED) 18he1302026h0003
6 · The paper itself

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.

Indexed as

AdolescentChildFemaleHumansImaging, Three-DimensionalMaleOutcome Assessment, Health CareRadiographyReproducibility of ResultsScoliosisSensitivity and Specificity

Identifiers

PMID30532023
PMCPMC6286333
OpenAlexW2903347097

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.