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Research ArticleAdult Brain

Early Biomarkers from Conventional and Delayed-Contrast MRI to Predict the Response to Bevacizumab in Recurrent High-Grade Gliomas

D. Daniels, D. Guez, D. Last, C. Hoffmann, D. Nass, A. Talianski, G. Tsarfaty, S. Salomon, A.A. Kanner, D.T. Blumenthal, F. Bokstein, S. Harnof, D. Yekutieli, S. Zamir, Z.R. Cohen, L. Zach and Y. Mardor
American Journal of Neuroradiology November 2016, 37 (11) 2003-2009; DOI: https://doi.org/10.3174/ajnr.A4866
D. Daniels
bAdvanced Technology Center (D.G., D.L., D.D., S.S., Y.M.)
fSackler Faculty of Medicine (L.Z., D.D., C.H., G.T., Z.R.C., Y.M., S.H.)
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D. Guez
bAdvanced Technology Center (D.G., D.L., D.D., S.S., Y.M.)
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D. Last
bAdvanced Technology Center (D.G., D.L., D.D., S.S., Y.M.)
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C. Hoffmann
dRadiology Institute (C.H., G.T.)
fSackler Faculty of Medicine (L.Z., D.D., C.H., G.T., Z.R.C., Y.M., S.H.)
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D. Nass
ePathology Institute (D.N.), Sheba Medical Center, Ramat-Gan, Israel
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A. Talianski
aFrom the Oncology Institute (L.Z., A.T.)
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G. Tsarfaty
dRadiology Institute (C.H., G.T.)
fSackler Faculty of Medicine (L.Z., D.D., C.H., G.T., Z.R.C., Y.M., S.H.)
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S. Salomon
bAdvanced Technology Center (D.G., D.L., D.D., S.S., Y.M.)
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A.A. Kanner
iStereotactic Radiosurgery Unit (A.A.K.), Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.
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D.T. Blumenthal
hNeuro-Oncology Service (D.T.B., F.B.)
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F. Bokstein
hNeuro-Oncology Service (D.T.B., F.B.)
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S. Harnof
cDepartment of Neurosurgery (Z.R.C., S.H.)
fSackler Faculty of Medicine (L.Z., D.D., C.H., G.T., Z.R.C., Y.M., S.H.)
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D. Yekutieli
gSchool of Mathematical Sciences (D.Y., S.Z.), Tel-Aviv University, Tel-Aviv, Israel
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S. Zamir
gSchool of Mathematical Sciences (D.Y., S.Z.), Tel-Aviv University, Tel-Aviv, Israel
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Z.R. Cohen
cDepartment of Neurosurgery (Z.R.C., S.H.)
fSackler Faculty of Medicine (L.Z., D.D., C.H., G.T., Z.R.C., Y.M., S.H.)
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L. Zach
aFrom the Oncology Institute (L.Z., A.T.)
fSackler Faculty of Medicine (L.Z., D.D., C.H., G.T., Z.R.C., Y.M., S.H.)
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Y. Mardor
bAdvanced Technology Center (D.G., D.L., D.D., S.S., Y.M.)
fSackler Faculty of Medicine (L.Z., D.D., C.H., G.T., Z.R.C., Y.M., S.H.)
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    Fig 1.

    Examples demonstrating that the response to bevacizumab is independent of pretreatment tumor volumes: Shown are axial contrast-enhanced T1-weighted MRIs and TRAMs calculated 5 days before bevacizumab treatment and 79 days post-initiation of treatment of a nonresponding patient (left) with a relatively small pretreatment tumor. Also shown are contrast-enhanced T1-weighted MRIs and TRAMs calculated 7 days before bevacizumab treatment and 387 days post-initiation of treatment of a responding patient (right) with a relatively large pretreatment tumor. One month after the initiation of treatment, the nonresponding patient's tumor volumes increased (blue up to 131% of initial volume, and T1, up to 103%). Despite the large initial tumor volume, the responding patient showed significant reduction in tumor volume (blue down to 21% of initial volume, and T1, down to 25%), which remained low for >15 months posttherapy. Both patients showed decreased FLAIR volumes.

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    Fig 2.

    Response patterns. The mean values of the changes in lesion volumes relative to baseline were plotted separately for the responders (blue) and nonresponders (red) as a function of time (days) after initiation of bevacizumab treatment for the following parameters: enhancing volumes on contrast-enhanced T1-weighted MR imaging, FLAIR hyperintensity volumes on precontrast FLAIR, blue volumes on the TRAMs, and hyperperfused volumes on perfusion-weighted MR imaging–based maps.

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    Fig 3.

    Kaplan-Maier curves demonstrating the application of 3 MR imaging–based predictors for separating responders to bevacizumab from nonresponders. Shown are Kaplan-Maier curves by using 1-month change (ratio) in T1GdV ≤ 0.32 (upper left), BlueV ≤ 0.29 (upper middle), and HPV ≤ 0.19 (upper right) as predictors for OS. Receiver operating characteristic curves of the 3 predictors applied for prediction of 6-month PFS (left) and 1-year OS (right) are presented below.

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    Fig 4.

    An example of a patient progressing under bevacizumab and responding to re-irradiation under bevacizumab: Shown are axial contrast-enhanced T1WI (upper row), TRAMs (middle row), and T2 FLAIR images (lower row), at baseline, 27 days, 82 days, and 139 days after initiation of bevacizumab treatment. Lesion volumes at baseline were the following: enhancing T1: 54.1 mL; blue: 21.2 mL; and FLAIR hyperintensity: 165.9 mL. At 1 month, a reduction was seen in all: T1 reached 59% of its baseline volume; blue, 79%; and FLAIR, 43%. At day 83, progression was determined, consistent with the patient's clinical deterioration. T1 reached 84% of its baseline volume (but an increase to 142% relative to the previous scan volume), and blue reached 140% of its baseline volume (an increase to 177% relative to the previous scan), reflecting the stronger sensitivity of TRAMs to progression. FLAIR hyperintensity continued to decrease (25%). At this point, it was decided that the patient should undergo re-irradiation and continue bevacizumab treatment. The next follow-up, at day 139, was acquired 1 month after the initiation of re-radiation. Compared with the previous examination, there was a dramatic increase in FLAIR (172%), as can be expected postirradiation; no change in T1 (99.7%); and a dramatic decrease in blue (61%). In addition, hyperperfused volume increased to 132%; and average apparent diffusion coefficient, to 108% (data not shown). The patient was clinically stable after re-irradiation and lived 5 more months.

Tables

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  • Log-rank analysis of suggested predictorsa

    MethodMedian PFS (95% CI) (mo) (Responders/Nonresponders)P Value (Log-Rank Analysis)Median OS (95% CI) (mo) (Responders/Nonresponders)P Value (Log-Rank Analysis)
    T1GdV11.3 (5.6–19.6).011214.8 (11.6–20.7).0022
    2.8 (1.8–4.5)8.2 (5.4–9.2)
    BlueV15.4 (9.1–31.4)<.000120.7 (14.6–34.4)<.0001
    2.8 (1.3–3.5)6.9 (5.2–9.2)
    HPV5.6 (3.3–9.1).083711.6 (9.0–14.8).0232
    2.8 (1.8–4.5)6.6 (5.2–9.2)
    • ↵a The patients were divided into responders and nonresponders using predictors from T1GdV, BlueV, and HPV. The median PFS and OS values of the responders and nonresponders as determined by these thresholds are presented and compared with log-rank analysis.

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American Journal of Neuroradiology: 37 (11)
American Journal of Neuroradiology
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1 Nov 2016
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D. Daniels, D. Guez, D. Last, C. Hoffmann, D. Nass, A. Talianski, G. Tsarfaty, S. Salomon, A.A. Kanner, D.T. Blumenthal, F. Bokstein, S. Harnof, D. Yekutieli, S. Zamir, Z.R. Cohen, L. Zach, Y. Mardor
Early Biomarkers from Conventional and Delayed-Contrast MRI to Predict the Response to Bevacizumab in Recurrent High-Grade Gliomas
American Journal of Neuroradiology Nov 2016, 37 (11) 2003-2009; DOI: 10.3174/ajnr.A4866

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Early Biomarkers from Conventional and Delayed-Contrast MRI to Predict the Response to Bevacizumab in Recurrent High-Grade Gliomas
D. Daniels, D. Guez, D. Last, C. Hoffmann, D. Nass, A. Talianski, G. Tsarfaty, S. Salomon, A.A. Kanner, D.T. Blumenthal, F. Bokstein, S. Harnof, D. Yekutieli, S. Zamir, Z.R. Cohen, L. Zach, Y. Mardor
American Journal of Neuroradiology Nov 2016, 37 (11) 2003-2009; DOI: 10.3174/ajnr.A4866
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