Evidence map›Paper›PMID 28378032›Full record

ArticleJournal of digital imaging2017

Computer-Based Radiographic Quantification of Joint Space Narrowing Progression Using Sequential Hand Radiographs: Validation Study in Rheumatoid Arthritis Patients from Multiple Institutions.

Shota Ichikawa, Tamotsu Kamishima, Kenneth Sutherland, Jun Fukae, Kou Katayama, Yuko Aoki, Takanobu Okubo, Taichi Okino, Takahiko Kaneda, Satoshi Takagi and 1 more

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Journal of digital imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
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  6. Review
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

11 authors at 2 institutions in 1 country.

Shota IchikawaGraduate School of Health Sciences, Hokkaido University, North 12 West 5, Kita-ku, Sapporo, 060-0812, Japan.
Tamotsu KamishimaFaculty of Health Sciences, Hokkaido University, North 12 West 5, Kita-ku, Sapporo, 060-0812, Japan. ktamotamo2@yahoo.co.jp.
Kenneth SutherlandGraduate School of Medicine, Hokkaido University, North 15, West 7, Kita-ku, Sapporo, 060-8638, Japan.
Jun FukaeHokkaido Medical Center for Rheumatic Diseases, 1-45 3-Chome, 1-Jo, Kotoni, Nishi-ku, Sapporo, 063-0811, Japan.
Kou KatayamaKatayama Orthopedic Rheumatology Clinic, Toyooka 13-4-5-17, Asahikawa, 078-8243, Japan.
Yuko AokiHokkaido Medical Center for Rheumatic Diseases, 1-45 3-Chome, 1-Jo, Kotoni, Nishi-ku, Sapporo, 063-0811, Japan.
Takanobu OkuboKatayama Orthopedic Rheumatology Clinic, Toyooka 13-4-5-17, Asahikawa, 078-8243, Japan.
Taichi OkinoGraduate School of Health Sciences, Hokkaido University, North 12 West 5, Kita-ku, Sapporo, 060-0812, Japan.
Takahiko KanedaGraduate School of Health Sciences, Hokkaido University, North 12 West 5, Kita-ku, Sapporo, 060-0812, Japan.
Satoshi TakagiFaculty of Health Sciences, Hokkaido University, North 12 West 5, Kita-ku, Sapporo, 060-0812, Japan.
Kazuhide TanimuraHokkaido Medical Center for Rheumatic Diseases, 1-45 3-Chome, 1-Jo, Kotoni, Nishi-ku, Sapporo, 063-0811, Japan.
Hokkaido University · JPNational Hospital Organization Hokkaido Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have developed a refined computer-based method to detect joint space narrowing (JSN) progression with the joint space narrowing progression index (JSNPI) by superimposing sequential hand radiographs. The purpose of this study is to assess the validity of a computer-based method using images obtained from multiple institutions in rheumatoid arthritis (RA) patients. Sequential hand radiographs of 42 patients (37 females and 5 males) with RA from two institutions were analyzed by a computer-based method and visual scoring systems as a standard of reference. The JSNPI above the smallest detectable difference (SDD) defined JSN progression on the joint level. The sensitivity and specificity of the computer-based method for JSN progression was calculated using the SDD and a receiver operating characteristic (ROC) curve. Out of 314 metacarpophalangeal joints, 34 joints progressed based on the SDD, while 11 joints widened. Twenty-one joints progressed in the computer-based method, 11 joints in the scoring systems, and 13 joints in both methods. Based on the SDD, we found lower sensitivity and higher specificity with 54.2 and 92.8%, respectively. At the most discriminant cutoff point according to the ROC curve, the sensitivity and specificity was 70.8 and 81.7%, respectively. The proposed computer-based method provides quantitative measurement of JSN progression using sequential hand radiographs and may be a useful tool in follow-up assessment of joint damage in RA patients.

Indexed as

Disease ProgressionAdultAgedAged, 80 and overArthritis, RheumatoidFemaleHumansImage Processing, Computer-AssistedMaleMetacarpophalangeal JointMiddle AgedRadiographyReproducibility of ResultsSensitivity and SpecificitySeverity of Illness IndexComputer assisted detectionHandRadiography

Identifiers

PMID28378032
PMCPMC5603443
OpenAlexW2604402121

What OpenQuestion holds

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Registered trials

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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.