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Meniscal tear configurations: Categorization with MR imaging

  • Won Hee Jee
  • , Thomas R. McCauley
  • , Jung Man Kim
  • , Dong Jin Jun
  • , Young Joon Lee
  • , Byung Gil Choi
  • , Kyu Ho Choi
    • Catholic Univ. of Korea Coll. Med.
    • Yale University
    • The Catholic University of Korea

    Research output: Contribution to journal › Article › peer-review

    91 Scopus citations

    Abstract

    OBJECTIVE. The purpose of this study was to evaluate the accuracy of MR imaging for categorizing the configuration of meniscal tears of the knee. MATERIALS AND METHODS. Fast spin-echo MR images obtained at 1.5 T from 110 patients who had meniscal tears identified at arthroscopy were retrospectively and independently classified by two reviewers into five configurations: horizontal, longitudinal, radial, oblique, and complex. MR imaging categorization was compared with arthroscopic results as the standard of reference. Data were also analyzed with longitudinal and oblique tears combined because these usually are reparable, and with horizontal, radial, and complex tears combined because these usually are not reparable. Interobserver and intraobserver agreements were calculated using kappa coefficients. RESULTS. At arthroscopy, meniscal tears were categorized as horizontal (n = 44), longitudinal (n = 34), complex (n = 22), radial (n = 11), and oblique (n = 5). Sensitivity, specificity, and accuracy of each reviewer for the reparable tears were 82%, 92%, and 89%; and 59%, 97%, and 84%, respectively. Interobserver agreements were fair between reviewer 1 and the first and second interpretations of reviewer 2 (κ = 0.25, p < 0.005; and κ = 0.21, p < 0.05, respectively). Intraobserver agreement was substantial (κ = 0.71, p < 0.001). CONCLUSION. MR imaging was accurate for predicting reparable meniscal tears and was sensitive for the determination of nonreparable tears.

    Original languageEnglish
    Pages (from-to)93-97
    Number of pages5
    JournalAmerican Journal of Roentgenology
    Volume180
    Issue number1
    DOIs
    StatePublished - 1 Jan 2003

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