Advertisement

European Radiology

, Volume 11, Issue 2, pp 258–262 | Cite as

Indirect MR arthrography of the shoulder in detection of rotator cuff ruptures

  • B. Yağcı
  • M. Manisalı
  • E. Yilmaz
  • M. Özkan
  • A. Ekin
  • D. Özaksoy
  • I. Kovanlıkaya
MUSCULOSKELETAL

Abstract

The aim of this study was to compare the efficacy of indirect MR arthrography images obtained following intravenous contrast injection and conventional MR imaging in the diagnosis of rotator cuff tears. Twenty-four patients with clinically suspected rotator cuff disease were examined. Conventional MR images and post-contrast indirect MR arthrography images were obtained. All images were evaluated in a blinded fashion by two musculoskeletal radiologist. Results were than analyzed depending on surgical output. The correlation coefficient (Spearman rank correlation test) and the kappa values for agreement between surgery and imaging techniques were calculated. The correlation coefficients between indirect MR arthrography and surgery for reader 1 and reader 2 were 0.9137 and 0.9773, respectively. Whereas the agreement between conventional MR imaging and surgery was moderate (ϰ = 0.383–0.571), the agreement between indirect MR arthrography and surgery was excellent (ϰ = 0.873–0.936). We suggest the use of indirect MR arthrography technique when conventional MR images are equivocal in diagnosis of rotator cuff disease.

Key words Magnetic resonance imaging Indirect MR arthrography Shoulder Rotator cuff rupture 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • B. Yağcı
    • 1
  • M. Manisalı
    • 1
  • E. Yilmaz
    • 1
  • M. Özkan
    • 2
  • A. Ekin
    • 2
  • D. Özaksoy
    • 1
  • I. Kovanlıkaya
    • 1
  1. 1.Department of Radiology, Dokuz Eylül University Hospital, 35340 Izmir, TurkeyTR
  2. 2.Department of Orthopaedics, Dokuz Eylül University Hospital, 35340 Izmir, TurkeyTR

Personalised recommendations