Evidence map›Paper›PMID 28670164›Full record

ArticleKorean journal of radiology

Texture Analysis of Torn Rotator Cuff on Preoperative Magnetic Resonance Arthrography as a Predictor of Postoperative Tendon Status.

Yeonah Kang, Guen Young Lee, Joon Woo Lee, Eugene Lee, Bohyoung Kim, Su Jin Kim, Joong Mo Ahn, Heung Sik Kang

Open access · hybridAbstract read
In one paragraph

Article in Korean journal of radiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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.

Yeonah KangDepartment of Radiology, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul 07061, Korea.
Guen Young LeeDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Joon Woo LeeDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Eugene LeeDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Bohyoung KimDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Su Jin KimDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Joong Mo AhnDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Heung Sik KangDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Seoul National University Bundang Hospital · KRChung-Ang University Hospital · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate texture data of the torn supraspinatus tendon (SST) on preoperative T2-weighted magnetic resonance arthrography (MRA) using the gray-level co-occurrence matrix (GLCM) for prediction of post-operative tendon state. MATERIALS AND

methodsFifty patients who underwent arthroscopic rotator cuff repair for full-thickness tears of the SST were included in this retrospective study. Based on 1-year follow-up, magnetic resonance imaging showed that 30 patients had intact SSTs, and 20 had rotator cuff retears. Using GLCM, two radiologists measured independantly the highest signal intensity area of the distal end of the torn SST on preoperative T2-weighted MRA, which were compared between two groups.The relationships with other well-known prognostic factors, including age, tear size (anteroposterior dimension), retraction size (mediolateral tear length), grade of fatty degeneration of the SST and infraspinatus tendon, and arthroscopic fixation technique (single or double row), also were evaluated.

resultsOf all the GLCM features, the retear group showed significantly higher entropy (

conclusionTexture analysis of torn SSTs on preoperative T2-weighted MRA using the GLCM may be helpful to predict postoperative tendon state after rotator cuff repair.

Indexed as

Magnetic Resonance ImagingAgedAged, 80 and overFemaleFollow-Up StudiesHumansMaleMiddle AgedPredictive Value of TestsPreoperative PeriodRetrospective StudiesRotator Cuff InjuriesTendonsTreatment OutcomeMagnetic resonance imagingRotator cuffShoulder jointStatistical data analysesTexture analysis

Identifiers

PMID28670164
PMCPMC5447645
OpenAlexW2618259849

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.