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Research ArticleAdult Brain
Open Access

MR Imaging Characteristics Associate with Tumor-Associated Macrophages in Glioblastoma and Provide an Improved Signature for Survival Prognostication

J. Zhou, M.V. Reddy, B.K.J. Wilson, D.A. Blair, A. Taha, C.M. Frampton, R.A. Eiholzer, P.Y.C. Gan, F. Ziad, Z. Thotathil, S. Kirs, N.A. Hung, J.A. Royds and T.L. Slatter
American Journal of Neuroradiology February 2018, 39 (2) 252-259; DOI: https://doi.org/10.3174/ajnr.A5441
J. Zhou
aFrom the Departments of Radiology (J.Z., M.V.R., B.K.J.W.)
cDepartment of Pathology (J.Z., R.A.E., N.A.H., J.A.R., T.L.S.)
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M.V. Reddy
aFrom the Departments of Radiology (J.Z., M.V.R., B.K.J.W.)
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B.K.J. Wilson
aFrom the Departments of Radiology (J.Z., M.V.R., B.K.J.W.)
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D.A. Blair
eDepartments of Radiology (D.A.B.)
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A. Taha
bNeurosurgery (A.T.), Southern District Health Board, Dunedin, New Zealand
dSurgical Sciences (A.T., S.K.), Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
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C.M. Frampton
iDepartment of Medicine (C.M.F.), University of Otago, Christchurch, New Zealand.
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R.A. Eiholzer
cDepartment of Pathology (J.Z., R.A.E., N.A.H., J.A.R., T.L.S.)
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P.Y.C. Gan
fNeurosurgery (P.Y.C.G.)
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F. Ziad
gPathology (F.Z.)
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Z. Thotathil
hMedical Oncology (Z.T.), Waikato District Health Board, Hamilton, New Zealand
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S. Kirs
dSurgical Sciences (A.T., S.K.), Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
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N.A. Hung
cDepartment of Pathology (J.Z., R.A.E., N.A.H., J.A.R., T.L.S.)
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J.A. Royds
cDepartment of Pathology (J.Z., R.A.E., N.A.H., J.A.R., T.L.S.)
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T.L. Slatter
cDepartment of Pathology (J.Z., R.A.E., N.A.H., J.A.R., T.L.S.)
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    Fig 1.

    Examples of MR imaging features in glioblastoma. A, Tumor classified with a regular (left) or irregular margin (right). B, Tumor classified with a fungating (left) or nonfungating margin (right). C, Tumors classified with a cystic component (left) or noncystic component (right). D, Tumor classified with (left) and without (right) radiologic necrosis. E, Tumor classified with low (limited, left) and high (extensive, right) PTE. F, Tumor classified as being multifocal. G, tumor classified with hemorrhage. Gd indicated gadolinium; C, contrast.

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    Fig 2.

    The 3 telomere maintenance mechanism subtypes are associated with differences in patient survival. Eighty cases were those used in a previous study,4 and 100 cases were new to this study.

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    Table 1:

    Specific classification of MRI features

    Imaging Feature with:Classification Criteria
    Regular enhancing margin
        YesSmooth enhancing margin on post-Gd T1
        NoLack of smooth enhancing margin on post-Gd T1
    Fungating margin
        YesThick heterogeneous brushlike enhancing rim on post Gd T1
        NoLack of thick heterogeneous brushlike enhacing rim on post-Gd T1
    Cystic
        YesA well-circumscribed region with low T1 and high T2 signal; loses signal on the FLAIR sequence
        NoLack of well-circumscribed region with low T1 and high T2 signal; does not lose signal on the FLAIR sequence
    Proportion of necrosis
        YesAn area within the tumor that had high signal on T2 and low signal on T1; had heterogeneous enhancement on post-Gd T1; the proportion of the tumor estimated to represent more than 5% necrosis
        NoLess than 5% or none
    Proportion of edemaa
        Limited (<50% of the entire abnormality)Less than half of the entire abnormality is estimated to represent vasogenic edema
        Extensive (> 50% of the entire abnormality)More than half of the entire abnormality is estimated to represent vasogenic edema
    Multifocal and multicentric lesion
        YesTwo or more enhancing intra-axial tumors on post-Gd T1
        NoOne intra-axial tumor on post-Gd T1
    Hemorrhage
        YesTumor has an area of internal high or isolated T1 and low T2; area of internal high T1 and high T2; area of internal low T1 and low T2. Takes into account that the signal characteristics differ depending on the age of the hemorrhage. SWI sequences were also used.
        NoNo hemorrhage
    • Note:—Gd indicates gadolinium.

    • ↵a The protocol for measuring PTE grade was based on that by Wu et al5 and Hartmann et al.22

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    Table 2:

    Interobserver reliability assessment for MRI features in glioblastoma

    MRI Feature% Where All 3 Reviewers Agreeκ Value
    Regular margin62.9%0.23
    Fungating margin64.6%0.28
    Cystic86.2%0.71
    Necrosis72.6%0.50
    Limited PTE70.7%0.43
    Hemorrhage78.3%0.56
    Multifocal lesion85.6%0.71
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    Table 3:

    Clinico-demographic features among telomere maintenance glioblastoma subtypes

    DemographicsTelomere Maintenance SubtypePearson χ2 (or F-Ratio) and P Valuesa
    ALT+/M− (n = 26)ALT−/M− (n = 92)ALT−/M+ (n = 56)
    % Male (no.)57.7 (15)63 (58)57.1 (32)0.6, .742
    Mean age (range), yrs45.9 (16–66)64.1 (40–81)63.2 (39–82)34.8, <.001
    Median survival, mo21.010.67.140.1, <.001
    % Treated with at least 4 cycles of temozolomide (no.)42.3 (11)38 (35)32 (18)0.63, .629
    % Treated with radiotherapy (no.)84.6 (22)78.3 (72)92.9 (52)5.5, .064
    Type of surgery
        Biopsy, % (no.)15.4 (4)24 (22)16 (9)37.9, <.0001
        Near total, % (no.)76.9 (20)61 (56)27.3 (15)
        Partial8 (2)15.2 (14)56.4 (31)
    MGMT promoter methylation status, % (no.)61.5 (16)45 (36)48 (25)NS
    IDH1 and IDH2 mutation status, % (no.)73 (19)9 (8)5 (3)67, <.0001
    • Note:—NS indicates not significant.

    • ↵a Statistical comparisons were made between 3 groups: ALT+/M−, ALT−/M−, and ALT−/M+.

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    Table 4:

    MRI features among telomere maintenance glioblastoma subtypes

    MRI FeatureTelomere Maintenance Subtype
    ALT+/M−ALT−/M−ALT−/M+Pearson χ2 and P ValuesaALT+/M+
    No. of patients2692566
    Regular margin, % (no.)58 (15)30 (28)30 (17)7.3, .02633 (2)
    Fungating margin, % (no.)19 (5)53 (49)61 (34)12.8, .00267 (4)
    Cystic component, % (no.)39 (10)24 (22)11 (6)8.5, .01450 (3)
    Radiologic necrosis, % (no.)58 (15)73 (67)86 (48)7.7, .02183 (5)
    Extensive PTE, % (no.)23 (6)23 (21)45 (25)8.6, .01417 (1)
    Multifocal lesion, % (no.)15 (4)12 (11)23 (13)NS33 (2)
    Hemorrhage, % (no.)8 (2)20 (18)7 (4)NS3 (2)
    • Note:—NS indicates not significant.

    • ↵a Statistical comparisons were made between 3 groups: ALT+/M−, ALT−/M−, and ALT−/M+.

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    Table 5:

    MRI features among mutant IDH1 and IDH2 tumors

    MRI FeatureTumor Type
    IDH1 and IDH2 Mutant (n = 30)IDH1 and IDH2 Wild-Type (n = 150)Pearson χ2 and P Values
    Regular margin50%31%NS
    Fungating margin33%55%4.8
    .028
    Cystic component37%17%5.7
    .017
    Radiologic necrosis63%77%NS
    Extensive PTE23%32%NS
    Multifocal lesion10%16%NS
    Hemorrhage10%15%NS
    • Note:—NS indicates not significant.

    • View popup
    Table 6:

    Cox regression analysis to test if radiology features added to telomere maintenance subtype and MGMT promoter methylation status in predicting patient survival

    Category VariableWald ValuedfSignificance P
    Molecular subtype262<.0001
    MGMT6.891.009
    Cystic41.045
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American Journal of Neuroradiology: 39 (2)
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J. Zhou, M.V. Reddy, B.K.J. Wilson, D.A. Blair, A. Taha, C.M. Frampton, R.A. Eiholzer, P.Y.C. Gan, F. Ziad, Z. Thotathil, S. Kirs, N.A. Hung, J.A. Royds, T.L. Slatter
MR Imaging Characteristics Associate with Tumor-Associated Macrophages in Glioblastoma and Provide an Improved Signature for Survival Prognostication
American Journal of Neuroradiology Feb 2018, 39 (2) 252-259; DOI: 10.3174/ajnr.A5441

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MR Imaging Characteristics Associate with Tumor-Associated Macrophages in Glioblastoma and Provide an Improved Signature for Survival Prognostication
J. Zhou, M.V. Reddy, B.K.J. Wilson, D.A. Blair, A. Taha, C.M. Frampton, R.A. Eiholzer, P.Y.C. Gan, F. Ziad, Z. Thotathil, S. Kirs, N.A. Hung, J.A. Royds, T.L. Slatter
American Journal of Neuroradiology Feb 2018, 39 (2) 252-259; DOI: 10.3174/ajnr.A5441
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