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Research ArticleBrain
Open Access

Prediction of Pseudoprogression in Patients with Glioblastomas Using the Initial and Final Area Under the Curves Ratio Derived from Dynamic Contrast-Enhanced T1-Weighted Perfusion MR Imaging

C.H. Suh, H.S. Kim, Y.J. Choi, N. Kim and S.J. Kim
American Journal of Neuroradiology December 2013, 34 (12) 2278-2286; DOI: https://doi.org/10.3174/ajnr.A3634
C.H. Suh
aFrom the Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
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H.S. Kim
aFrom the Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
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Y.J. Choi
aFrom the Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
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N. Kim
aFrom the Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
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S.J. Kim
aFrom the Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
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  • Fig 1.
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    Fig 1.

    Flowchart of the study population. CEL, contrast-enhancing lesion.

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    Fig 2.

    Illustration for calculating the AUCR from DCE perfusion MR imaging and the flowchart of our hypothesis.

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    Fig 3.

    Illustration of the step for calculating the AUCR and its histogram.

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    Fig 5.

    Images obtained in a 56-year-old man with posttreatment glioblastoma who had pseudoprogression. Contrast-enhanced T1-weighted imaging (A) obtained 3 weeks after concomitant chemoradiotherapy showed a necrotic, contrast-enhancing mass posterior to the surgical cavity of the left temporal lobe. The IAUC30 (B) and FAUC30 (C) maps derived from dynamic contrast-enhanced, T1-perfusion MR imaging. In B, a visual decrease of the IAUC30 value was noted in the entire contrast-enhancing lesion. The AUCR map (D) and its bimodal histogram (E) showed a decrease in the mean value of the higher curve, thus indicating pseudoprogression.

  • Fig 6.
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    Fig 6.

    A box-and-whisker with scatterplots shows the mAUCRH of the ETP, pseudoprogression, and control groups. A clear difference between the ETP group and the pseudoprogression group can be seen (P < .0001); however, an overlap zone is visible between an mAUCRH of 0.27 and 0.35 (interval between dotted lines).

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    Fig 7.

    Images obtained in a 58-year-old woman with pathologically confirmed treatment-naïve glioblastoma. Contrast-enhanced, T1-weighted image obtained before surgery. A, The image showed a necrotic, contrast-enhancing mass in the right frontal lobe. IAUC30 (B) and FAUC30 (C) maps derived from dynamic contrast-enhanced, T1-perfusion MR imaging. B, A visual increase of the IAUC30 value was noted in the entire contrast-enhancing lesion. The AUCR (D), Ktrans (E), Ve (F) maps, and AUCR bimodal histogram (G) are shown. F, The distribution of visually high Ktrans corresponded with that of the IAUC30 map. G, An AUCR histogram showed increases in bimodal histogram parameters similar with those of ETP.

Tables

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    Table 1:

    Comparison of study patient demographic data

    VariablesPseudoprogressionETP
    No. of male patients (%)17 (45.9)19 (45.2)
    No. of female patients (%)20 (54.1)23 (54.8)
    Age (y)a48.5 ± 9.152.6 ± 8.5
    Mean KPSa93.0 ± 5.992.4 ± 6.3
    Tumor volume (cm3)a50.2 ± 17.155.9 ± 22.12
    Surgical extent before CCRT
         Biopsy36
         Subtotal resection1717
         Gross total resection1719
    Mean radiation dose (at CCRT, Gy)59.559.7
    Mean interval between CCRT and new or enlarging contrast-enhancing lesion (d)31.229.7
    MGMT promoter status (methylated/unmethylated)10/47/12
    • Note:—KPS indicates Karnofsky performance status; MGMT, O(6)-methylguanine methyltransferase.

    • ↵a Data are mean ± SD.

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    Table 2:

    Multiple comparison test (P value) of the AUCR histogram parameters in the early tumor progression, pseudoprogression, and control groups

    AUCR50AUCR75AUCR90AUCRmodemAUCRH
    Pseudoprogression vs ETP group<.0001<.0001<.0001<.0001<.0001
    Pseudoprogression vs control group<.0001<.0001<.0001<.0001<.0001
    ETP vs control group.557.572.771.752.747
    • Note:—AUCR indicates area under the time signal-intensity curve ratio; AUCR50, 50 percentile cutoff value of AUCR; AUCR75, 75 percentile cutoff value of AUCR; AUCR90, 90 percentile cutoff value of AUCR; AUCRmode, AUCR at mode; mAUCRH, mean of the higher curve of AUCR.

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    Table 3:

    Diagnostic performance of the AUCR histogram parameters for differentiating ETP from pseudoprogression

    ParameterAz ValueabSensitivity (%)Specificity (%)PPV (%)NPV (%)Cutoff Value
    AUCR500.871 (0.757–0.939)87.283.184.381.10.19
    AUCR750.842 (0.741–0.922)82.681.180.978.20.25
    AUCR900.879 (0.772–0.949)89.681.785.087.10.34
    AUCRmode0.791 (0.677–0.892)73.179.779.172.50.16
    mAUCRH0.901 (0.791–0.976)90.182.987.587.90.31
    • Note:—NPV indicates negative predictive value; PPV, positive predictive value.

    • ↵a Az indicates the largest area under the receiver operating characteristic curve.

    • ↵b Numbers in parentheses are 95% confidence intervals.

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American Journal of Neuroradiology: 34 (12)
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C.H. Suh, H.S. Kim, Y.J. Choi, N. Kim, S.J. Kim
Prediction of Pseudoprogression in Patients with Glioblastomas Using the Initial and Final Area Under the Curves Ratio Derived from Dynamic Contrast-Enhanced T1-Weighted Perfusion MR Imaging
American Journal of Neuroradiology Dec 2013, 34 (12) 2278-2286; DOI: 10.3174/ajnr.A3634

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Prediction of Pseudoprogression in Patients with Glioblastomas Using the Initial and Final Area Under the Curves Ratio Derived from Dynamic Contrast-Enhanced T1-Weighted Perfusion MR Imaging
C.H. Suh, H.S. Kim, Y.J. Choi, N. Kim, S.J. Kim
American Journal of Neuroradiology Dec 2013, 34 (12) 2278-2286; DOI: 10.3174/ajnr.A3634
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