Back to Search
Start Over
Anteroinferior tears of the glenoid labrum: fat-suppressed fast spin-echo T2 versus gradient-recalled echo MR images
- Source :
- Skeletal radiology. 26(5)
- Publication Year :
- 1997
-
Abstract
- Objective. To compare fat-suppressed fast spin-echo (FSE) T2-weighted images with gradient-recalled echo (GRE) T2*-weighted images in the evaluation of anteroinferior labral tears. Design. MR images were retrospectively reviewed by two radiologists masked to the history and arthroscopic findings. They separately interpreted the anteroinferior labrum as torn or intact, first on one pulse sequence and then, 4 weeks later, on the other sequence. The MR interpretations were correlated with the arthroscopic findings. Patients. Nine patients with anteroinferior labral tears, and nine similarly-aged patients with normal, labra were studied. Results and conclusions. Observer 1 had a sensitivity of 0.56 on the GRE images and 0.67 on the FSE images (P>0.5), with a specificity of 1.0 for both sequences. Observer 2 had a sensitivity of 0.78 and a specificity of 0.89 for both sequences. In this small study there is no significant difference between GRE and fat-suppressed FSE images in their ability to diagnose anteroinferior labral tears. When evaluating the labrum with conventional MRI, axial fat-suppressed FSE T2-weighted images can be used in place of GRE images without a loss of accuracy.
- Subjects :
- Adult
Cartilage, Articular
Male
medicine.medical_specialty
Shoulder
Glenoid labrum
Adolescent
Sensitivity and Specificity
Gradient recalled echo
medicine
Humans
Radiology, Nuclear Medicine and imaging
Retrospective Studies
Observer Variation
Labrum
medicine.diagnostic_test
business.industry
Echo-Planar Imaging
Shoulder Dislocation
Magnetic resonance imaging
Fast spin echo
medicine.anatomical_structure
Upper limb
Tears
Female
Radiology
Mr images
Shoulder Injuries
business
Subjects
Details
- ISSN :
- 03642348
- Volume :
- 26
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Skeletal radiology
- Accession number :
- edsair.doi.dedup.....85fd5718a22255ca9c39bb64dc379cbd