Imaging algorithms for evaluating suspected rotator cuff disease: Society of radiologists in ultrasound consensus conference statement

Levon N. Nazarian, Jon A. Jacobson, Carol B. Benson, Laura W. Bancroft, Asheesh Bedi, John M. McShane, Theodore T. Miller, Laurence Parker, Jay Smith, Lynne S. Steinbach, Sharlene A. Teefey, Ralf G. Thiele, Michael J. Tuite, James N. Wise, Ken Yamaguchi

Research output: Contribution to journalArticle

41 Scopus citations
Original languageEnglish (US)
Pages (from-to)589-595
Number of pages7
JournalRadiology
Volume267
Issue number2
DOIs
StatePublished - May 1 2013

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Nazarian, L. N., Jacobson, J. A., Benson, C. B., Bancroft, L. W., Bedi, A., McShane, J. M., Miller, T. T., Parker, L., Smith, J., Steinbach, L. S., Teefey, S. A., Thiele, R. G., Tuite, M. J., Wise, J. N., & Yamaguchi, K. (2013). Imaging algorithms for evaluating suspected rotator cuff disease: Society of radiologists in ultrasound consensus conference statement. Radiology, 267(2), 589-595. https://doi.org/10.1148/radiol.13121947