Evidence map›Paper›PMID 36766588›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Can We Apply Snyder's Arthroscopic Classification to Ultrasound for Evaluating Rotator Cuff Tears? A Comparative Study with MR Arthrography.

Marco Porta, Salvatore La Marca, Nicola Carapella, Alessandra Surace, Cristiana Fanciullo, Roberto Simonini, Sandro Sironi, Domenico Albano, Carmelo Messina, Luca Maria Sconfienza and 1 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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.

Marco PortaDepartment of Radiology, Istituti Clinici Zucchi, 20052 Monza, Italy.ORCID 0000-0002-1833-6587
Salvatore La MarcaDepartment of Radiology, Istituti Clinici Zucchi, 20052 Monza, Italy.ORCID 0000-0002-6340-645X
Nicola CarapellaDepartment of Radiology, University of Brescia, Piazzale Spedali Civili 1, 25123 Brescia, Italy.
Alessandra SuraceDepartment of Radiology, Istituti Clinici Zucchi, 20052 Monza, Italy.
Cristiana FanciulloDepartment of Radiology, Istituti Clinici Zucchi, 20052 Monza, Italy.
Roberto SimoniniDepartment of Radiology, Istituti Clinici Zucchi, 20052 Monza, Italy.ORCID 0000-0002-1540-3385
Sandro SironiDepartment of Radiology, ASST Papa Giovanni XXIII Hospital, 24127 Bergamo, Italy.
Domenico AlbanoIRCCS Istituto Ortopedico Galeazzi, 20161 Milano, Italy.ORCID 0000-0001-7989-9861
Carmelo MessinaIRCCS Istituto Ortopedico Galeazzi, 20161 Milano, Italy.
Luca Maria SconfienzaIRCCS Istituto Ortopedico Galeazzi, 20161 Milano, Italy.ORCID 0000-0003-0759-8431
Alberto AliprandiDepartment of Radiology, Istituti Clinici Zucchi, 20052 Monza, Italy.ORCID 0000-0001-8577-8433

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to demonstrate the applicability of Snyder's arthroscopic classification of rotator cuff tears (RCT) in shoulder ultrasound (US) and to compare it with MR arthrography (MRA). Forty-six patients (34 males; mean age:34 ± 14 years) underwent shoulder US and MRA. Two radiologists (R1 = 25 years of experience; R2 = 2 years of experience) assigned A1-4, B1-4, or C1-4 values depending on the extent of RCT in both US and MRA. Inter-reader intra-modality and intra-reader inter-modality agreement were calculated using Cohen's kappa coefficient. US sensitivity and specificity of both readers were calculated using MRA as the gold standard. Patients were divided into intact cuff vs. tears, mild (A1/B1) vs. moderate (A2-3/B2-3) tears, mild-moderate (A2/B2) vs. high-moderate (A3/B3) cuff tears, moderate (A2-3/B2-3) vs. advanced (A4/B4) and full-thickness (C) tears. The highest agreement values in inter-reader US evaluation were observed for mild-moderate vs. high-moderate RCT (K = 0.745), in inter-reader MRA evaluation for mild vs. moderate RCT (K = 0.821), in R1 inter-modality (US-MRA) for mild-moderate vs. high-moderate and moderate vs. advanced/full-thickness RCT (K = 1.000), in R2 inter-modality (US-MRA) for moderate vs. advanced/full-thickness RCT (K = 1.000). US sensitivity ranged from 88.89%(R1)-84.62%(R2) to 100% (both readers), while specificity from 77.78%(R1)-90.00%(R2) to 100% (both readers). Snyder's classification can be used in US to ensure the correct detection and characterization of RCT.

Indexed as

magnetic resonance arthrographyrotator cuff tearsshoulderSnyder’s classificationultrasound

Identifiers

PMID36766588
PMCPMC9914918

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