We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




MRI Predicts Shoulder Stiffness in Rotator Cuff Tears

By MedImaging International staff writers
Posted on 10 Mar 2020
Print article
Image: Normal joint capsule at axillary recess (A); Full-thickness tear of supraspinatus tendon (B) (Photo courtesy AJR)
Image: Normal joint capsule at axillary recess (A); Full-thickness tear of supraspinatus tendon (B) (Photo courtesy AJR)
Joint capsule edema and thickness at the axillary recess, as measured by magnetic resonance imaging (MRI), can prove useful in predicting stiff shoulder in patients with rotator cuff tears, according to a new study.

Researchers at the Korean Veterans Health Service Medical Center (VHS; Seoul, Republic of Korea) and Chung-Ang University (Seoul, Republic of Korea) conducted a study involving 106 patients to evaluate the relationship between stiff shoulder in patients with a full-thickness rotator cuff tear and MRI findings, and especially joint capsule abnormality. The researchers then evaluated joint capsule edema and thickness in the axillary recess, obliteration of the subcoracoid fat triangle, fatty degeneration of the torn rotator cuff muscle, and degree of retraction.

The associations between MRI findings and preoperative passive range of motion (ROM) were then assessed, revealing a significant, negative linear correlation between limited ROM at forward elevation and thickness of the joint capsule in the glenoid portion of the axillary recess, external rotation and joint capsule edema in the humeral portion of the axillary recess, and internal rotation and joint capsule edema in the glenoid portion of the axillary recess. The study was published in the May 2020 issue of the American Journal of Roentgenology (AJR).

“This study is important because it is the first to highlight joint capsule abnormality on MRI as a factor associated with stiff shoulder in patients with full-thickness rotator cuff tears,” concluded lead author Yoon Yi Kim, MD, and colleagues. “Male sex and postero-superior rotator cuff tear were independent predictors of shoulder ROM on external rotation, and degree of fatty degeneration was an independent predictor of shoulder ROM on internal rotation.”

The rotator cuff is a group of muscles and their tendons that act to stabilize the glenohumeral joint and allow for the extensive range of motion in the shoulder, including abduction and internal and external rotation. Of the seven scapulohumeral muscles, four make up the rotator cuff –the supraspinatus muscle, the infraspinatus muscle, the teres minor muscle, and the subscapularis muscle. A rotator cuff tear is an injury of one or more of the tendons or muscles involved. Symptoms may include shoulder pain, pain, and limited motion.

Related Links:
Korean Veterans Health Service Medical Center
Chung-Ang University


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Under Table Shield
3 Section Double Pivot Under Table Shield
New
Color Doppler Ultrasound System
KC20
New
Ultrasound Table
Ergonomic Advantage (EA) Line

Print article
Radcal

Channels

Nuclear Medicine

view channel
Image: The new SPECT/CT technique demonstrated impressive biomarker identification (Journal of Nuclear Medicine: doi.org/10.2967/jnumed.123.267189)

New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access

The development of lead-212 (212Pb)-PSMA–based targeted alpha therapy (TAT) is garnering significant interest in treating patients with metastatic castration-resistant prostate cancer. The imaging of 212Pb,... Read more

General/Advanced Imaging

view channel
Image: The Tyche machine-learning model could help capture crucial information. (Photo courtesy of 123RF)

New AI Method Captures Uncertainty in Medical Images

In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Artificial Intelligence (AI) models are utilized to... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.