MR patterns of rotator cuff and labral lesions: comparison between low-field and high-field images.
Journal
Journal of the Formosan Medical Association = Taiwan yi zhi
Journal Volume
92
Journal Issue
2
Pages
146-151
Date Issued
1993
Author(s)
Abstract
Eighteen people (10 men, 8 women) were examined on a 0.3-T (low-field) imager with T1-weighted axial and coronal images and either axial or coronal T2-weighted images. Thirty-two people (22 men, 10 women) were examined on a 1.5-T (high-field) imager with axial T1-weighted images and coronal, sagittal dual-echo images. Rotator cuff lesions were diagnosed by the following findings: abnormal signal in the tendon, irregularity or discontinuity at the musculo-tendinous junction, or muscle abnormality. Glenoid labrum tears were considered if one or more of the following criteria were present: labral deformity of unusual size, focal defect, amputation or displacement with fluid, or capsular stripping. Comparison between the high-field and low-field MR images in the evaluation of rotator cuff lesions suggests that the high-field imager is better than the low-field imager in the differentiation of tendinitis from tears, in the confirmation of bursitis and in detection of subscapularis lesions. A higher contrast-to-noise ratio (CNR), less time consumption, and more section planes (especially, sagittal sections) appear to be the main reasons for this. As far as labral lesions are concerned, the performances of the high-field imagers and low-field imagers were almost equal. The artifact of greater chemical shift with a high-field imager would more or less, we assume, degrade the better CNR achievable in the diagnosis of labral lesions.
SDGs
Other Subjects
adolescent; adult; aged; arthropathy; article; female; human; injury; male; methodology; middle aged; newborn; nuclear magnetic resonance imaging; pathology; rotator cuff; shoulder; Adolescent; Adult; Aged; Female; Humans; Infant, Newborn; Joint Diseases; Magnetic Resonance Imaging; Male; Middle Aged; Rotator Cuff; Shoulder Joint
Type
journal article