Quantitative diagnostic method for biceps long head tendinitis by using ultrasound

Shih Wei Huang, Wei Te Wang

研究成果: 雜誌貢獻文章

2 引文 (Scopus)

摘要

Objective. To investigate the feasibility of grayscale quantitative diagnostic method for biceps tendinitis and determine the cut-off points of a quantitative biceps ultrasound (US) method to diagnose biceps tendinitis. Design. Prospective cross-sectional case controlled study. Setting. Outpatient rehabilitation service. Methods. A total of 336 shoulder pain patients with suspected biceps tendinitis were recruited in this prospective observational study. The grayscale pixel data of the range of interest (ROI) were obtained for both the transverse and longitudinal views of the biceps US. Results. A total of 136 patients were classified with biceps tendinitis, and 200 patients were classified as not having biceps tendinitis based on the diagnostic criteria. Based on the Youden index, the cut-off points were determined as 26.85 for the transverse view and 21.25 for the longitudinal view of the standard deviation (StdDev) of the ROI values, respectively. When the ROI evaluation of the US surpassed the cut-off point, the sensitivity was 68% and the specificity was 90% in the StdDev of the transverse view, and the sensitivity was 81% and the specificity was 73% in the StdDev of the longitudinal view to diagnose biceps tendinitis. Conclusion. For equivocal cases or inexperienced sonographers, our study provides a more objective method for diagnosing biceps tendinitis in shoulder pain patients.

原文英語
文章編號948323
期刊Scientific World Journal
2013
DOIs
出版狀態已發佈 - 2013

指紋

Tendinopathy
Ultrasonics
Shoulder Pain
Patient rehabilitation
Pixels
pixel
Ambulatory Care
ultrasound
method
Observational Studies
Rehabilitation
Prospective Studies

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Environmental Science(all)
  • Medicine(all)

引用此文

Quantitative diagnostic method for biceps long head tendinitis by using ultrasound. / Huang, Shih Wei; Wang, Wei Te.

於: Scientific World Journal, 卷 2013, 948323, 2013.

研究成果: 雜誌貢獻文章

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