High-frequency Quantitative Ultrasound Imaging of Human Rotator Cuff Muscles: Assessment of Repeatability and Reproducibility

Author:

Wu Yuanshan12ORCID,Barrere Victor23,Ashir Aria4,Chen Xiaojun56,Silva Livia T.5,Jerban Saeed35,Han Aiguo7ORCID,Andre Michael P.35,Shah Sameer B.123,Chang Eric Y.58

Affiliation:

1. Department of Bioengineering, University of California, San Diego, CA, USA

2. Department of Orthopaedic Surgery, University of California, San Diego, CA, USA

3. Research Service, VA San Diego Healthcare System, San Diego, CA, USA

4. Department of Radiology, Santa Barbara Cottage Hospital, Santa Barbara, CA, USA

5. Department of Radiology, University of California, San Diego, CA, USA

6. Radiology, Fifth Affiliated Hospital of Sun Yat-sen University, Zhu Hai, China

7. Department of Biomedical Engineering and Mechanics, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA

8. Radiology Service, VA San Diego Healthcare System, San Diego, CA, USA

Abstract

This study evaluated the repeatability and reproducibility of using high-frequency quantitative ultrasound (QUS) measurement of backscatter coefficient (BSC), grayscale analysis, and gray-level co-occurrence matrix (GLCM) textural analysis, to characterize human rotator cuff muscles. The effects of varying scanner settings across two different operators and two US systems were investigated in a healthy volunteer with normal rotator cuff muscles and a patient with chronic massive rotator cuff injury and substantial muscle degeneration. The results suggest that BSC is a promising method for assessing rotator cuff muscles in both control and pathological subjects, even when operators were free to adjust system settings (depth, level of focus, and time-gain compensation). Measurements were repeatable and reproducible across the different operators and ultrasound imaging platforms. In contrast, grayscale and GLCM analyses were found to be less reliable in this setting, with significant measurement variability. Overall, the repeatability and reproducibility measurements of BSC indicate its potential as a diagnostic tool for rotator cuff muscle evaluation.

Funder

U.S. Department of Defense

NIH Clinical Center

National Institute of Arthritis and Musculoskeletal and Skin Diseases

U.S. Department of Veterans Affairs

Publisher

SAGE Publications

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

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