Evidence map›Paper›PMID 39093064›Full record

ArticleJournal of back and musculoskeletal rehabilitation2024

Imaging of glenohumeral osteoarthritis: Reliability and reproducibility of radiological classifications.

Umile Giuseppe Longo, Alessandro de Sire, Sergio De Salvatore, Giuliano Zollo, Vincenzo Di Matteo, Alessandra Corradini, Alice Ceccaroli, Valerio Ammendolia, Giovanni Calabrese, Pieter D'Hooghe

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Article in Journal of back and musculoskeletal rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Umile Giuseppe LongoFondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Alessandro de SirePhysical Medicine and Rehabilitation Unit, Department of Medical and Surgical Sciences, University of Catanzaro "Magna Graecia", Catanzaro, Italy.
Sergio De SalvatoreFondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Giuliano ZolloFondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Vincenzo Di MatteoFondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Alessandra CorradiniFondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Alice CeccaroliFondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Valerio AmmendoliaPhysical Medicine and Rehabilitation Unit, Department of Medical and Surgical Sciences, University of Catanzaro "Magna Graecia", Catanzaro, Italy.
Giovanni CalabreseFondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Pieter D'HoogheAspetar Hospital, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlenohumeral degenerative joint disease may affect up to 20% of the population. There are several classification systems of this disease in the scientific literature.

objectiveThe aim of this study is to determine the reliability and reproducibility of glenohumeral osteoarthritis classification systems.

methodsWe assessed glenohumeral plain radiographs performed in a University Hospital. These radiographs were graded into nine radiological classification systems by two observers on two evaluations. Patients who have performed CT/MRI scan were staged according to the Walch classification. The intra-observer and inter-observer reliability of the classification schemes were determined by using Cohen's weighted kappa coefficient.

resultsA total of 752 patients were included in the study (52.4% females and 47.6% males), mean aged 66.2 ± 16.3 years. The intra-observer and inter-observer reliabilities were 0.543 (observer 1), 0.630 (observer 2), and 0.760 (inter-observer) for the Weinstein grading system; 0.661, 0.706, and 0.761 for the Guyette grading system; 0.575, 0.679 and 0.704 for the Kellgren and Lawrence classification; 0.817, 0.816 e 0.871 for the Samilson and Prieto classification; 0.791, 0.811 and 0.847 for the Allain modification; 0.797, 0.842 and 0.860 for the Gerber modification; 0.773, 0.827 and 0.828 for the Buscayret modification; 0.584, 0.648 and 0.755 for the Hawkins and Angelo classification; 0.661, 0.749 and 0.764 for the Rosenberg classification. Intra-observer reliability for MRI was 0.757 (observer 1) and 0.675 (observer 2), while intra-observer reliability for CT was 0.811 (observer 1) and 0.653 (observer 2). Inter-observer reliabilities were 0.790 for MRI and 0.673 for CT.

conclusionThe classification systems according to Weinstein, Guyette, Hawkins and Angelo, Rosenberg and the modifications of the Samilson and Prieto classification according to Allain, Gerber and Buscayret showed a comparable reliability with the commonly used glenohumeral osteoarthritis grading systems, Samilson and Prieto and Kellgren and Lawrence. Thus, they are recommended for clinical and especially scientific purposes.

Indexed as

Magnetic Resonance ImagingOsteoarthritisShoulder JointAgedAged, 80 and overFemaleHumansMaleMiddle AgedObserver VariationReproducibility of ResultsTomography, X-Ray ComputedCT/MRI scanglenohumeral osteoarthritisradiological classificationsShoulderWalch classification

Identifiers

PMID39093064
PMCPMC11613007

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