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Dynamic contrast-enhanced MR imaging of the rectum: Correlations between single-section and whole-tumor histogram analyses

    • Catholic Univ. of Korea Coll. Med.
    • The Catholic University of Korea
    • Daejeon St. Mary's Hospital

    Research output: Contribution to journalArticlepeer-review

    4 Scopus citations

    Abstract

    Purpose: To evaluate the interobserver and intermethod correlations of histogram metrics of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parameters acquired by multiple readers using the single-section and whole-tumor volume methods. Materials and methods: Four DCE parameters (Ktrans, Kep, Ve, Vp) were evaluated in 45 patients (31 men and 14 women; mean age, 61 ± 11 years [range, 29–83 years]) with locally advanced rectal cancer using pre-chemoradiotherapy (CRT) MRI. Ten histogram metrics were extracted using two methods of lesion selection performed by three radiologists: the whole-tumor volume method for the whole tumor on axial section-by-section images and the single-section method for the entire area of the tumor on one axial image. The interobserver and intermethod correlations were evaluated using the intraclass correlation coefficients (ICCs). Results: The ICCs showed excellent interobserver and intermethod correlations in most of histogram metrics of the DCE parameters. The ICCs among the three readers were > 0.7 (P < 0.001) for all histogram metrics, except for the minimum and maximum. The intermethod correlations for most of the histogram metrics were excellent for each radiologist, regardless of the differences in the radiologists’ experience. Conclusion: The interobserver and intermethod correlations for most of the histogram metrics of the DCE parameters are excellent in rectal cancer. Therefore, the single-section method may be a potential alternative to the whole-tumor volume method using pre-CRT MRI, despite the fact that the high agreement between the two methods cannot be extrapolated to post-CRT MRI.

    Original languageEnglish
    Pages (from-to)537-545
    Number of pages9
    JournalDiagnostic and interventional imaging
    Volume99
    Issue number9
    DOIs
    StatePublished - Sep 2018

    Bibliographical note

    Publisher Copyright:
    © 2018 Soci showét showé françaises de radiologie

    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

    • Dynamic contrast-enhanced MRI
    • Histogram
    • Interobserver variability
    • Quantitative measurement
    • Rectal cancer

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