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Rim sign in breast lesions on diffusion-weighted magnetic resonance imaging: Diagnostic accuracy and clinical usefulness

  • Bong Joo Kang
  • , Jafi Alyssa Lipson
  • , Katie Rose Mary Planey
  • , Sophia Zackrisson
  • , Debra M. Ikeda
  • , Jennifer Kao
  • , Sunita Pal
  • , Catherine J. Moran
  • , Bruce Lewis Daniel
    • Stanford University
    • Lund University

    Research output: Contribution to journalArticlepeer-review

    40 Scopus citations

    Abstract

    Purpose: To investigate the diagnostic accuracy and clinical usefulness of the rim sign in breast lesions observed in diffusion-weighted magnetic resonance imaging (DWI). Materials and Methods: The magnetic resonance imaging (MRI) findings of 98 pathologically confirmed lesions (62 malignant and 36 benign) in 84 patients were included. Five breast radiologists were asked to independently review the breast MRI results, to grade the degree of high peripheral signal, the "rim sign," in the DWI, and to confirm the mean apparent diffusion coefficient (ADCmean) values. We analyzed the diagnostic accuracy and compared the consensus (when ≤4 of 5 independent reviewers agreed) results of the rim sign with the ADCmean values. Additionally, we evaluated the correlation between the dynamic contrast-enhanced (DCE)-MRI morphologic appearance and DWI rim sign. Results: According to the consensus results, the rim sign in DWI was observed on 59.7% of malignant lesions and 19.4% of benign lesions. The sensitivity, specificity, and area under the curve (AUC) value for the rim sign in DWI were 59.7%, 80.6%, and 0.701, respectively. The sensitivity, specificity, and AUC value for the ADCmean value (criteria & le;1.46 × 10-3 mm2/sec) were 82.3%, 63.9%, and 0.731, respectively. Based on consensus, no correlation was observed between the DCE-MRI and DWI rim signs. Conclusion: In DWI, a high-signal rim is a valuable morphological feature for improving specificity in DWI.

    Original languageEnglish
    Pages (from-to)616-623
    Number of pages8
    JournalJournal of Magnetic Resonance Imaging
    Volume41
    Issue number3
    DOIs
    StatePublished - 1 Mar 2015

    Bibliographical note

    Publisher Copyright:
    © 2014 Wiley Periodicals, Inc.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Breast cancer
    • Diffusion-weighted image
    • Magnetic resonance imaging

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