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Readout-segmented echo-planar imaging in diffusion-weighted MR imaging in breast cancer: Comparison with single-shot echo-planar imaging in image quality

    • The Catholic University of Korea, College of Medicine
    • The Catholic University of Korea Incheon St. Mary's Hospital
    • The Catholic University of Korea
    • Healthcare Sector, Siemens Ltd
    • Siemens
    • Catholic Univ. of Korea Coll. Med.

    Research output: Contribution to journalArticlepeer-review

    63 Scopus citations

    Abstract

    Objective: The purpose of this study was to compare the image quality of standard single-shot echo-planar imaging (ss- EPI) and that of readout-segmented EPI (rs-EPI) in patients with breast cancer. Materials and Methods: Seventy-one patients with 74 breast cancers underwent both ss-EPI and rs-EPI. For qualitative comparison of image quality, three readers independently assessed the two sets of diffusion-weighted (DW) images. To evaluate geometric distortion, a comparison was made between lesion lengths derived from contrast enhanced MR (CE-MR) images and those obtained from the corresponding DW images. For assessment of image parameters, signal-to-noise ratio (SNR), lesion contrast, and contrast-to-noise ratio (CNR) were calculated. Results: The rs-EPI was superior to ss-EPI in most criteria regarding the qualitative image quality. Anatomical structure distinction, delineation of the lesion, ghosting artifact, and overall image quality were significantly better in rs-EPI. Regarding the geometric distortion, lesion length on ss-EPI was significantly different from that of CE-MR, whereas there were no significant differences between CE-MR and rs-EPI. The rs-EPI was superior to ss-EPI in SNR and CNR. Conclusion: Readout-segmented EPI is superior to ss-EPI in the aspect of image quality in DW MR imaging of the breast.

    Original languageEnglish
    Pages (from-to)403-410
    Number of pages8
    JournalKorean Journal of Radiology
    Volume15
    Issue number4
    DOIs
    StatePublished - 2014

    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 neoplasm
    • Diffusion-weighted MRI
    • Magnetic resonance imaging

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