Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Effectiveness of Ultrasound in Evaluation of Fatty Infiltration in Rotator Cuff Muscles

Authors
Park, Bong-KyungHong, Seok-HaJeong, Woong-Kyo
Issue Date
3월-2020
Publisher
KOREAN ORTHOPAEDIC ASSOC
Keywords
Shoulder; Rotator cuff muscle; Fatty infiltration; Ultrasonography; Infraspinatus; Architecture
Citation
CLINICS IN ORTHOPEDIC SURGERY, v.12, no.1, pp.76 - 85
Indexed
SCOPUS
KCI
Journal Title
CLINICS IN ORTHOPEDIC SURGERY
Volume
12
Number
1
Start Page
76
End Page
85
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/57552
DOI
10.4055/cios.2020.12.1.76
ISSN
2005-291x
Abstract
Background: This study aimed to verify the diagnostic performance of Ultrasonography (US) in the evaluation of fatty infiltration (FI) in rotator cuff muscles and to analyze the diagnostic values of each measurement component. Methods: The degree of FI in 108 shoulders was assessed by magnetic resonance imaging (MRI) and US. MRI findings were graded by the Goutallier classification. US findings were graded by the Strobel method. Agreement between MRI and US findings was evaluated. The sensitivity and specificity for detecting FI and intraobserver reliabilities were also assessed. Results: US grading of the infraspinatus based on short-axis architecture showed good agreement (k = 0.62). US grading-based on architecture showed good agreement for both supraspinatus and infraspinatus in long- and short-axis scans (supraspinatus, k = 0.63; infraspinatus, k = 0.68), while that based on echogenicity showed moderate agreement (supraspinatus, k = 0.51; infraspinatus, k = 0.50). The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of detecting advanced FI were significant in both axes. Conclusions: US is effective for detecting advanced FI in the rotator cuff muscles. US can assess the infraspinatus more accurately than the supraspinatus, and architecture is a more decisive component of FI status than echogenicity.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of Medical Science > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jeong, Woong Kyo photo

Jeong, Woong Kyo
의과대학 (의학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE