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Research ArticleBRAIN TUMOR IMAGING
Open Access

Arterial Spin-Labeling and DSC Perfusion Metrics Improve Agreement in Neuroradiologists’ Clinical Interpretations of Posttreatment High-Grade Glioma Surveillance MR Imaging—An Institutional Experience

Ghiam Yamin, Eric Tranvinh, Bryan A. Lanzman, Elizabeth Tong, Syed S. Hashmi, Chirag B. Patel and Michael Iv
American Journal of Neuroradiology March 2024, DOI: https://doi.org/10.3174/ajnr.A8190
Ghiam Yamin
aFrom the Department of Radiology (G.Y., E. Tranvinh, B.A.L., E. Tong, S.S.H., M.I.), Division of Neuroimaging and Neurointervention, Stanford University Medical Center, Stanford, California
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  • ORCID record for Ghiam Yamin
Eric Tranvinh
aFrom the Department of Radiology (G.Y., E. Tranvinh, B.A.L., E. Tong, S.S.H., M.I.), Division of Neuroimaging and Neurointervention, Stanford University Medical Center, Stanford, California
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Bryan A. Lanzman
aFrom the Department of Radiology (G.Y., E. Tranvinh, B.A.L., E. Tong, S.S.H., M.I.), Division of Neuroimaging and Neurointervention, Stanford University Medical Center, Stanford, California
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Elizabeth Tong
aFrom the Department of Radiology (G.Y., E. Tranvinh, B.A.L., E. Tong, S.S.H., M.I.), Division of Neuroimaging and Neurointervention, Stanford University Medical Center, Stanford, California
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Syed S. Hashmi
aFrom the Department of Radiology (G.Y., E. Tranvinh, B.A.L., E. Tong, S.S.H., M.I.), Division of Neuroimaging and Neurointervention, Stanford University Medical Center, Stanford, California
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Chirag B. Patel
bDepartment of Neuro-Oncology (C.B.P.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Michael Iv
aFrom the Department of Radiology (G.Y., E. Tranvinh, B.A.L., E. Tong, S.S.H., M.I.), Division of Neuroimaging and Neurointervention, Stanford University Medical Center, Stanford, California
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  • FIG 1.
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    FIG 1.

    Example of rater BT-RADS scores in a 57-year-old woman with previously treated GBM and worsening findings on surveillance MR imaging. The T1 postgadolinium image demonstrates an enhancing lesion in the left mesial temporal lobe. The lesion has elevated ASL-CBF and DSC-rCBV (white arrows). The DSC-FTB image shows that the enhancing voxels are in the “high” fractional tumor burden (red voxels) category. The addition of perfusion metrics to CE-MR imaging resulted in a scoring upgrade from 3b (worsening imaging findings, indeterminate mix of treatment effects and tumor) to 3c/4 (likely tumor progression) across all raters and agreed with the consensus score of 3c/4. For 3 of 4 raters, the upgrade occurred with all perfusion metrics, and for rater 2, it occurred only with DSC-FTB.

  • FIG 2.
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    FIG 2.

    Example of rater BT-RADS scores in a 61-year-old woman with previously treated GBM and equivocally worsening findings on surveillance MR imaging. The T1 postgadolinium image demonstrates an enhancing lesion in the right temporal lobe. The lesion shows no elevated ASL-CBF or DSC-rCBV, and DSC-FTB shows that the enhancing voxels are in the “low” FTB (blue voxels) category. For two raters, the addition of perfusion metrics to CE-MR imaging resulted in a scoring downgrade from 3b (worsening imaging findings, indeterminate mix of treatment effects and tumor) to 3a (worsening imaging findings, likely treatment effects). For the other raters, perfusion metrics did not influence their assessment. The consensus score in this case was 2 (no change). The discrepancy between the consensus group and the raters was due to differences in opinion as to whether the enhancing lesion had subtly increased in size from the prior MR imaging (not shown).

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    FIG 3.

    Clinically meaningful changes in BT-RADS scores following the inclusion of perfusion metrics compared with conventional CE-MR imaging alone. Clinically meaningful upgrades or downgrades were defined as score changes from ≤3a⇆3b or 3b⇆3c/4 and from 3c/4⇆≤3b or 3b⇆≤3a, respectively. The numbers and arrows above the bar graph indicate the number of score upgrades (upward facing arrow) or downgrades (downward facing arrow). The greatest number of score changes was observed with the addition of DSC-FTB.

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    FIG 4.

    Rater confidence in MR imaging interpretation. Raters graded their confidence in interpretation and assignment of BT-RADS scores for conventional CE-MR imaging, CE-MR imaging + ASL-CBF, CE-MR imaging + DSC-rCBV, and CE-MR imaging + DSC-FTB using a 5-point Likert scale. The number to the right of each color bar represents the mean score. In general, confidence was higher with the addition of any perfusion metric but was highest with DSC-FTB in all raters.

Tables

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    Table 1:

    Patient demographics

    Demographics
    Age (yr)
     Mean (SD)61 (13)
     Range31–88
    Sex
     Male25 (56%)
     Female20 (44%)
    Integrated diagnosis
     GBM, IDH wild-type, WHO 444 (98%)
     Astrocytoma, IDH wild-type, WHO 31 (2%)
    HGG molecular features
     IDH wild-type45 (100%)
     MGMT promoter-unmethylated24 (53%)
     MGMT promoter-methylated19 (42%)
     Unknown MGMT promoter methylation status2 (4%)
    • Note:—WHO indicates World Health Organization.

    • View popup
    Table 2:

    Agreement in MR imaging interpretation among 4 neuroradiologists

     Fleiss κ95% CIP Value
    Conventional CE-MR imaging0.630.56−0.69<.001
    CE-MR imaging + ASL-CBF0.670.60−0.74<.001
    CE-MR imaging + DSC-rCBV0.660.60−0.73<.001
    CE-MR imaging + DSC-FTB0.700.63−0.77<.001
    • View popup
    Table 3:

    Agreement in MR imaging interpretation between an experienced multidisciplinary consensus group and each of 4 neuroradiologistsa

     More ExperiencedLess Experienced
    Rater 1Rater 2Rater 3Rater 4
    Conventional CE-MR imaging0.53 (0.31–0.75)0.70 (0.50–0.91)0.63 (0.43–0.84)0.58 (0.36–0.80)
    CE-MR imaging + ASL-CBF0.58 (0.36–0.80)0.69 (0.48–0.89)0.61 (0.39–0.82)0.65 (0.44–0.86)
    CE-MR imaging + DSC-rCBV0.58 (0.36–0.80)0.71 (0.51–0.90)0.63 (0.42–0.84)0.68 (0.47–0.88)
    CE-MR imaging + DSC-FTB0.66 (0.46–0.87)0.80 (0.63–0.97)0.66 (0.46–0.86)0.73 (0.55–0.92)
    • ↵a All analyses showed P < .001. Values are Cohen κ with 95% confidence intervals in the parentheses.

    • View popup
    Table 4:

    Frequency of clinically meaningful changes in BT-RADS scores in 45 patients following the inclusion of perfusion metrics compared with conventional CE-MR imaging alonea

     More ExperiencedLess Experienced
    Rater 1Rater 2Rater 3Rater 4
    CE-MR imaging + ASL-CBF5 (11%)7 (16%)1 (2%)7 (16%)
    CE-MR imaging + DSC-rCBV5 (11%)4 (9%)2 (4%)8 (18%)
    CE-MR imaging + DSC-FTB8 (18%)6 (13%)3 (7%)9 (20%)
    • ↵a No significance was found among ASL-CBF, DSC-rCBV, and DSC-FTB when added to CE-MR imaging with respect to the number of clinically meaningful score changes (P = .53). Percentages are in parentheses.

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Arterial Spin-Labeling and DSC Perfusion Metrics Improve Agreement in Neuroradiologists’ Clinical Interpretations of Posttreatment High-Grade Glioma Surveillance MR Imaging—An Institutional Experience
Ghiam Yamin, Eric Tranvinh, Bryan A. Lanzman, Elizabeth Tong, Syed S. Hashmi, Chirag B. Patel, Michael Iv
American Journal of Neuroradiology Mar 2024, DOI: 10.3174/ajnr.A8190
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Ghiam Yamin, Eric Tranvinh, Bryan A. Lanzman, Elizabeth Tong, Syed S. Hashmi, Chirag B. Patel, Michael Iv
Arterial Spin-Labeling and DSC Perfusion Metrics Improve Agreement in Neuroradiologists’ Clinical Interpretations of Posttreatment High-Grade Glioma Surveillance MR Imaging—An Institutional Experience
American Journal of Neuroradiology Mar 2024, DOI: 10.3174/ajnr.A8190

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