Accuracy of MR arthrography in the detection of posterior glenoid labral injuries of the shoulder.


Journal

Skeletal radiology
ISSN: 1432-2161
Titre abrégé: Skeletal Radiol
Pays: Germany
ID NLM: 7701953

Informations de publication

Date de publication:
Feb 2023
Historique:
received: 08 07 2022
accepted: 17 08 2022
revised: 16 08 2022
pubmed: 26 8 2022
medline: 17 12 2022
entrez: 25 8 2022
Statut: ppublish

Résumé

The purpose of this study is to evaluate the accuracy of MR arthrography in detecting isolated posterior glenoid labral injuries using arthroscopy as the reference standard. MR arthrograms of 97 patients with isolated posterior glenoid labral tears by arthroscopy and those of 96 age and gender-matched controls with intact posterior labra were reviewed by two blinded radiologists for the presence and location of posterior labral abnormalities. The sensitivity and specificity of detection of posterior labral tears were calculated as well as the prevalence of associated pathologies. Medical records were reviewed for demographics, history and direction of shoulder instability, and prior surgery. Posterior labral pathology was detected by MR arthrography with sensitivities of 76% and 84% for readers 1 and 2, and a specificity of 88% for both readers. Kappa value for interreader agreement was 0.91. Twenty-two of twenty-three (96%) tears isolated to the posteroinferior quadrant on arthroscopy were correctly identified on MRI. Commonly associated pathologies included paralabral cyst (38%), humeral fracture (7%), and glenoid fracture (2%). Fifteen of ninety-seven (16%) patients with posterior tears on both arthroscopy and MRI had glenoid rim deficiency on imaging versus no patients with intact posterior labra (p < 0.001). Forty of ninety-seven (41%) patients with posterior tears on arthroscopy had a history of posterior instability versus none without posterior tears. There was no significant difference in tear length on MRI between those with a history of instability and those without (p = 0.56). MR arthrography is accurate in detecting posterior glenoid labroligamentous injuries.

Identifiants

pubmed: 36006463
doi: 10.1007/s00256-022-04165-8
pii: 10.1007/s00256-022-04165-8
pmc: PMC9750904
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

175-181

Informations de copyright

© 2022. The Author(s).

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Auteurs

Allison Rixey (A)

Department of Radiology, Mayo Clinic, Rochester, USA.

Nicholas Rhodes (N)

Department of Radiology, Mayo Clinic, Rochester, USA.

Naveen Murthy (N)

Department of Radiology, Mayo Clinic, Rochester, USA.

Matthew Johnson (M)

Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, USA.

Nicholas Larson (N)

Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, USA.

Michael D Ringler (MD)

Department of Radiology, Mayo Clinic, Rochester, USA. ringler.michael@mayo.edu.

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