Evidence map›Paper›PMID 35415074›Full record

ArticleAsia-Pacific journal of sports medicine, arthroscopy, rehabilitation and technology2022

Agreement in rotator cuff muscles measurement between ultrasonography and magnetic resonance imaging.

Yasuyuki Ueda, Hiroshi Tanaka, Yoshiki Takeuchi, Takashi Tachibana, Hiroaki Inui, Katsuya Nobuhara, Jun Umehara, Noriaki Ichihashi

Open access · goldAbstract read
In one paragraph

Article in Asia-Pacific journal of sports medicine, arthroscopy, rehabilitation and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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.

Yasuyuki UedaDepartment of Physical Therapy, Faculty of Health Science, Takarazuka University of Medical and Healthcare, Takarazuka City, Hyogo pref., Japan.
Hiroshi TanakaInstitute of Biomechanics, Nobuhara Hospital, Tatsuno City, Hyogo pref., Japan.
Yoshiki TakeuchiDepartment of Radiology, Nobuhara Hospital, Tatsuno City, Hyogo pref., Japan.
Takashi TachibanaDepartment of Rehabilitation, Nobuhara Hospital, Tatsuno City, Hyogo pref., Japan.
Hiroaki InuiInstitute of Biomechanics, Nobuhara Hospital, Tatsuno City, Hyogo pref., Japan.
Katsuya NobuharaInstitute of Biomechanics, Nobuhara Hospital, Tatsuno City, Hyogo pref., Japan.
Jun UmeharaHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Noriaki IchihashiHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Nobuhara Hospital · JPKyoto University · JPJapan Society for the Promotion of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/objective: It is important to assess the atrophy of the rotator cuff to better understand shoulder function and pain. Previously, magnetic resonance imaging has been used for the evaluation of atrophy of rotator cuff muscles, which is time consuming. Therefore, a measurement tool requiring little time and easy accessibility is clinically desirable to be used frequently in rehabilitation. Recently, rotator cuff muscles have been evaluated using ultrasonography. However, little is known about the agreement of evaluation in rotator cuff muscles between magnetic resonance imaging and ultrasonography. The purpose of this study was to demonstrate the agreement between the muscle thickness measurements of supraspinatus, infraspinatus, and teres minor muscles by ultrasonography and the cross-sectional area measured by magnetic resonance imaging in the patient with rotator cuff tears. Methods: A total of 47 patients with rotator cuff tears were enrolled. There were the 37 small tears, four medium tears, and six large tears, and the involved rotator cuff muscles were the supraspinatus in 37 shoulders, and the supraspinatus and infraspinatus in 10 shoulders. The measuring variables were muscle thickness and cross-sectional area of supraspinatus, infraspinatus, and teres minor muscles by using magnetic resonance imaging. Further, the muscle thickness of the rotator cuff were assessed using ultrasonography. A single regression model was used for demonstrating the agreement between the cross-sectional area measurement by magnetic resonance imaging and the muscle thickness measured using ultrasonography and magnetic resonance imaging of rotator cuff muscles. Additionally, the Bland-Altman plots between magnetic resonance imaging and ultrasonography was analyzed. Results: The cross-sectional area were correlated with the muscle thickness measurement of rotator cuff muscles by magnetic resonance imaging, significantly (supraspinatus: r = 0.84, infraspinatus: ρ = 0.63, teres minor: ρ = 0.61, all p < 0.001). There were significant agreements between the cross-sectional area measured by magnetic resonance imaging and muscle thickness measured by ultrasonography (supraspinatus: r = 0.80, infraspinatus: ρ = 0.78, teres minor: ρ = 0.74, all p < 0.001). Bland-Altman plots revealed significant correlations between the average and the difference of the two measurements in supraspinatus (r = 0.36, p = 0.012), infraspinatus (r = 0.38, p < 0.001), and teres minor (r = 0.42, p < 0.001). These results clarified the proportional bias between MRI and US. Conclusion: This study showed that, similar to magnetic resonance imaging, ultrasonography is a useful tool for assessing muscle atrophy of supraspinatus, infraspinatus, and teres minor muscles.

Indexed as

Bland-Altman plotsCross-sectional areaMagnetic resonance imagingRotator cuffUltrasonography

Identifiers

PMID35415074
PMCPMC8983312
OpenAlexW4221125628

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LicenceCC BY-NC-ND
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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.