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

AI Article Synopsis

  • - The study focused on the repeatability and reliability of high-frequency quantitative ultrasound (QUS) to measure backscatter coefficient (BSC), grayscale, and texture analysis of human rotator cuff muscles.
  • - It assessed the impact of different scanner settings used by two operators on healthy individuals and patients with severe rotator cuff injuries, finding BSC measurements consistent across varying conditions.
  • - BSC showed promise as a reliable diagnostic tool for evaluating rotator cuff muscles, whereas grayscale and texture analyses demonstrated more significant variability, suggesting they may be less dependable.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11170563PMC
http://dx.doi.org/10.1177/01617346231207404DOI Listing

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