Evidence map›Paper›PMID 36353424›Full record

ArticleJSES international2022

Agreement between intraoperative and magnetic resonance imaging assessments of rotator cuff pathology and 2 magnetic resonance imaging-based assessments of supraspinatus muscle atrophy.

Jinjin Ma, Sambit Sahoo, Peter B Imrey, Yuxuan Jin, Andrew R Baker, Vahid Entezari, Jason C Ho, Mark S Schickendantz, Lutul D Farrow, Alfred Serna and 5 more

Open access · goldAbstract read
In one paragraph

Article in JSES international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 3 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

15 authors at 1 institution in 1 country.

Jinjin MaDepartment of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, USA.
Sambit SahooDepartment of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, USA.
Peter B ImreyDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
Yuxuan JinDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
Andrew R BakerDepartment of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, USA.
Vahid EntezariDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA.
Jason C HoDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA.
Mark S SchickendantzDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA.
Lutul D FarrowDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA.
Alfred SernaDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA.
Joseph P IannottiDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA.
Eric T RicchettiDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA.
Joshua M PolsterDepartment of Diagnostic Radiology, Cleveland Clinic, Cleveland, OH, USA.
Carl S WinalskiDepartment of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, USA.
Kathleen A DerwinDepartment of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, USA.
Cleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Magnetic resonance imaging (MRI)-based rotator cuff assessment is often qualitative and subjective; few studies have tried to validate such preoperative assessments. This study investigates relationships of preoperative MRI assessments made by conventional approaches to intraoperative findings of tear type, location, and size or MRI-assessed muscle occupation ratio. Methods: Intraoperatively, surgeons assessed tear type, location, anterior-posterior (AP) width, and medial-lateral length in 102 rotator cuff repair patients. Two musculoskeletal radiologists independently assessed the preoperative MRI scans for these same parameters and supraspinatus muscle atrophy by both Warner classification and quantitative occupation ratio. Exact agreement proportions, kappa statistics, and correlation coefficients were used to quantify agreement relationships. Results: Agreement between MRI readers' and surgeons' observations of tear status averaged 93% with κ = 0.38, and that of tear location averaged 77% with κ = 0.50. Concordance correlations of MRI and intraoperative measures of anterior-posterior and medial-lateral tear length averaged 0.59 and 0.56 across readers, respectively. Despite excellent interrater agreement on Warner classification (exact agreement proportion 0.91) and occupation ratio (concordance correlation 0.93) separately, correlations between these 2 measures were -0.54 and -0.64 for the 2 readers, respectively. Patients with Warner grade 0 had occupation ratios ranging from 0.5 to 1.5. Conclusion: Correlations of preoperative MRI tear dimensions and muscle atrophy assessed by conventional approaches with intraoperatively measured tear dimensions and quantitative occupation ratio, respectively, were only fair. Since tear size and muscle atrophy are known strong predictors of outcomes following rotator cuff repair that may influence treatment decisions, surgeons need to be aware of the limitations of MRI methods. Continued development and validation of quantitative preoperative imaging methods to accurately assess these parameters are needed to improve surgical planning and prognosis.

Indexed as

Inter-rater agreementIntraoperative assessmentMR imagingMuscle atrophyOccupation ratioRotator cuff repairTear characteristicsWarner classification

Identifiers

PMID36353424
PMCPMC9637799
OpenAlexW4295708853

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.