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Research ArticleBrain
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Glioma: Application of Histogram Analysis of Pharmacokinetic Parameters from T1-Weighted Dynamic Contrast-Enhanced MR Imaging to Tumor Grading

S.C. Jung, J.A. Yeom, J.-H. Kim, I. Ryoo, S.C. Kim, H. Shin, A.L. Lee, T.J. Yun, C.-K. Park, C.-H. Sohn, S.-H. Park and S.H. Choi
American Journal of Neuroradiology June 2014, 35 (6) 1103-1110; DOI: https://doi.org/10.3174/ajnr.A3825
S.C. Jung
aFrom the Departments of Radiology (S.C., J.a.Y., J.-H.K., I.R., S.C.K., H.S., A.L.L., T.J.Y., C.-H.S., S.H.C.)
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J.A. Yeom
aFrom the Departments of Radiology (S.C., J.a.Y., J.-H.K., I.R., S.C.K., H.S., A.L.L., T.J.Y., C.-H.S., S.H.C.)
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J.-H. Kim
aFrom the Departments of Radiology (S.C., J.a.Y., J.-H.K., I.R., S.C.K., H.S., A.L.L., T.J.Y., C.-H.S., S.H.C.)
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I. Ryoo
aFrom the Departments of Radiology (S.C., J.a.Y., J.-H.K., I.R., S.C.K., H.S., A.L.L., T.J.Y., C.-H.S., S.H.C.)
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S.C. Kim
aFrom the Departments of Radiology (S.C., J.a.Y., J.-H.K., I.R., S.C.K., H.S., A.L.L., T.J.Y., C.-H.S., S.H.C.)
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H. Shin
aFrom the Departments of Radiology (S.C., J.a.Y., J.-H.K., I.R., S.C.K., H.S., A.L.L., T.J.Y., C.-H.S., S.H.C.)
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A.L. Lee
aFrom the Departments of Radiology (S.C., J.a.Y., J.-H.K., I.R., S.C.K., H.S., A.L.L., T.J.Y., C.-H.S., S.H.C.)
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T.J. Yun
aFrom the Departments of Radiology (S.C., J.a.Y., J.-H.K., I.R., S.C.K., H.S., A.L.L., T.J.Y., C.-H.S., S.H.C.)
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C.-K. Park
bNeurosurgery (C.-K.P.)
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C.-H. Sohn
aFrom the Departments of Radiology (S.C., J.a.Y., J.-H.K., I.R., S.C.K., H.S., A.L.L., T.J.Y., C.-H.S., S.H.C.)
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S.-H. Park
cPathology (S.-H.P.), Seoul National University College of Medicine, Seoul, Republic of Korea
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S.H. Choi
aFrom the Departments of Radiology (S.C., J.a.Y., J.-H.K., I.R., S.C.K., H.S., A.L.L., T.J.Y., C.-H.S., S.H.C.)
dCenter for Nanoparticle Research (S.H.C.), Institute for Basic Science, and School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea.
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    Fig 1.

    ROIs manually defined on axial T2WI coregistered with parametric maps in a 43-year-old woman with a grade II glioma (A) and the histogram and cumulative histogram from the entire-tumor volume (B–D) are presented.

  • Fig 2.
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    Fig 2.

    ROIs manually defined on axial T2WI coregistered with parametric maps in a 61-year-old man with a grade III glioma (B) and the histogram and cumulative histogram from the entire-tumor volume (B–D) are presented.

  • Fig 3.
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    Fig 3.

    ROIs manually defined on axial T2WI coregistered with parametric maps in a 37-year-old woman with a grade IV glioma (C) and the histogram and cumulative histogram from the entire-tumor volume (B–D) are presented.

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    Fig 4.

    A histogram and cumulative histogram were derived from the total parametric values of all masses (n = 28) according to each grade. A–F, The histogram and cumulative histogram show that lower grade gliomas present a higher relative frequency at low parametric values and a lower relative frequency at high parametric values compared with higher grade gliomas for all of the parameters. C and F, However, in the Vp histogram, the relative frequency of grade IV gliomas is higher than that of grade III gliomas at a number of low values.

Tables

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    Table 1:

    The pharmacokinetic parameters in each grade of gliomaa

    Grade IIb/Low-GradecGrade IIIbGrade IVbHigh-Gradec
    Ktrans d0.027 ± 0.0410.057 ± 0.0910.158 ± 0.2260.122 ± 0.195
    Vee5.809 ± 10.38115.469 ± 26.16545.103 ± 63.88835.059 ± 55.920
    Vpe3.858 ± 3.9585.735 ± 5.77210.624 ± 12.3968.826 ± 10.723
    • ↵a All data are means.

    • ↵b There were statistically significant differences among grades (P < .01).

    • ↵c There were statistically significant differences between low- and high-grade (P < .01).

    • ↵d Data for Ktrans are in units of minute−1.

    • ↵e Data for Ve and Vp are percentages.

    • View popup
    Table 2:

    ROC results of the percentiles with the best AUC for glioma grading

    ParameterAUCaSensitivity (%)bSpecificity (%)bCutoff ValuecP Value
    Ktrans
        C980.912 (0.742–0.985)76.19 (16/21)100 (7/7)0.277<.01
    Ve
        C900.939 (0.779–0.994)85.71 (18/21)100 (7/7)19.70<.01
    Vp
        C840.769 (0.572–0.906)61.9 (13/21)100 (7/7)11.71<.01
    • ↵a Data in parentheses are 95% confidence intervals.

    • ↵b Sensitivity and specificity for identifying high-grade tumors. Data in parentheses are the numbers used to calculate the percentages.

    • ↵c Data for Ktrans are in units of minute−1, and data for Ve and Vp are percentages.

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American Journal of Neuroradiology: 35 (6)
American Journal of Neuroradiology
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1 Jun 2014
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S.C. Jung, J.A. Yeom, J.-H. Kim, I. Ryoo, S.C. Kim, H. Shin, A.L. Lee, T.J. Yun, C.-K. Park, C.-H. Sohn, S.-H. Park, S.H. Choi
Glioma: Application of Histogram Analysis of Pharmacokinetic Parameters from T1-Weighted Dynamic Contrast-Enhanced MR Imaging to Tumor Grading
American Journal of Neuroradiology Jun 2014, 35 (6) 1103-1110; DOI: 10.3174/ajnr.A3825

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Glioma: Application of Histogram Analysis of Pharmacokinetic Parameters from T1-Weighted Dynamic Contrast-Enhanced MR Imaging to Tumor Grading
S.C. Jung, J.A. Yeom, J.-H. Kim, I. Ryoo, S.C. Kim, H. Shin, A.L. Lee, T.J. Yun, C.-K. Park, C.-H. Sohn, S.-H. Park, S.H. Choi
American Journal of Neuroradiology Jun 2014, 35 (6) 1103-1110; DOI: 10.3174/ajnr.A3825
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