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Research ArticleBrainE

Multimodal MR Imaging (Diffusion, Perfusion, and Spectroscopy): Is It Possible to Distinguish Oligodendroglial Tumor Grade and 1p/19q Codeletion in the Pretherapeutic Diagnosis?

S. Fellah, D. Caudal, A.M. De Paula, P. Dory-Lautrec, D. Figarella-Branger, O. Chinot, P. Metellus, P.J. Cozzone, S. Confort-Gouny, B. Ghattas, V. Callot and N. Girard
American Journal of Neuroradiology July 2013, 34 (7) 1326-1333; DOI: https://doi.org/10.3174/ajnr.A3352
S. Fellah
aFrom the Centre de Résonance Magnétique Biologique et Médicale (CRMBM) (S.F., P.J.C., S.C.-G., V.C.)
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D. Caudal
dDepartments of Neuroradiology (D.C., P.D.-L., N.G.)
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A.M. De Paula
ePathology and Neuropathology (A.M.D.P., D.F.-B.)
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P. Dory-Lautrec
dDepartments of Neuroradiology (D.C., P.D.-L., N.G.)
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D. Figarella-Branger
bCenter for Research in Oncobiology and Oncopharmacology (CRO2) (D.F.-B.)
ePathology and Neuropathology (A.M.D.P., D.F.-B.)
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O. Chinot
fNeurooncology (O.C.)
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P. Metellus
gNeurosurgery (P.M.), APHM, Hopital de la Timone, Marseille, France.
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P.J. Cozzone
aFrom the Centre de Résonance Magnétique Biologique et Médicale (CRMBM) (S.F., P.J.C., S.C.-G., V.C.)
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S. Confort-Gouny
aFrom the Centre de Résonance Magnétique Biologique et Médicale (CRMBM) (S.F., P.J.C., S.C.-G., V.C.)
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B. Ghattas
cMathematics Department (B.G.), Aix-Marseille University, Marseille, France
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V. Callot
aFrom the Centre de Résonance Magnétique Biologique et Médicale (CRMBM) (S.F., P.J.C., S.C.-G., V.C.)
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N. Girard
dDepartments of Neuroradiology (D.C., P.D.-L., N.G.)
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  • Fig 1.
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    Fig 1.

    Confounding examples of grade II and grade III oligodendrogliomas and oligoastrocytomas by cMRI.

  • Fig 2.
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    Fig 2.

    Boxplots show significant differences in rCBV, rCBF, rK2, and ADC between grade II and grade III oligodendroglial tumors: (A) rCBV, (B) rCBF, and (C) rK2 are significantly higher in grade III compared with grade II tumors, whereas (D) ADC is significantly increased in grade II tumors.

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    Fig 3.

    Boxplots show that grade II tumors with 1p/19q codeletion have significantly higher rCBV and rCBF than tumors with intact 1p/19q. No significant difference could be observed between genotypes in grade III oligodendroglial tumors.

Tables

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    Table 1:

    Histopathologic and cMRI features of the tumors

    Grade II Oligoastrocytomas (n = 14)Grade II Oligodendrogliomas (n = 10)All Grade II (n = 24)Grade III Oligoastrocytomas (n = 14)Grade III Oligodendrogliomas (n = 12)All Grade III (n = 26)Total (n = 50)
    Contrast enhancement
        Absent8715 (62.5%)213 (11.5%)18 (36%)
        Blurry628 (33.3%)6511 (42.4%)19 (38%)
        Nodular011 (4.2%)415 (19.2%)6 (12%)
        Ringlike000 (0%)257 (26.9%)7 (14%)
    Location
        Frontal336 (25%)6612 (46.2%)18 (36%)
        Temporal123 (12.5%)336 (23.1%)9 (18%)
        Insular246 (25%)325 (19.2%)11 (22%)
        Temporoinsular718 (33.3%)112 (7.7%)10 (20%)
        Parietal101 (4.2%)000 (0%)1 (2%)
        Thalamic000 (0%)101 (3.8%)1 (2%)
    Tumor borders
        Sharp639 (37.5%)549 (34.6%)18 (36%)
        Indistinct8715 (62.5%)9817 (65.4%)32 (64%)
    Edema
        Yes9817 (70.9%)9716 (61.5%)33 (66%)
        No527 (29.1%)5510 (38.5%)17 (34%)
    Necrosis
        Yes8412 (50%)6915 (57.7%)27 (54%)
        No6612 (50%)8311 (42.3%)23 (46%)
    Hemorrhage
        Yes000 (0%)145 (19.2%)5 (10%)
        No141024 (100%)13821 (80.8%)45 (90%)
    1p/19q loss
        Yes4913 (54.2%)066 (23.1%)19 (38%)
        No10111 (45.8%)14620 (76.9%)31 (62%)
    • View popup
    Table 2:

    DWI, PWI, and MRS measurements in grade II and grade III oligodendroglial tumors and genotypes according to grade

    ParameterGradeGrade and Deletions
    II (n = 24)III (n = 26)P valueGrade II with 1p/19q Loss (n = 13)Grade II with Intact 1p/19q (n = 11)Grade III with 1p/19q Loss (n = 6)Grade III with Intact 1p/19q (n = 20)
    ADC (10–3 mm2/s)1238.50 ± 208.42995.19 ± 266.97.00081181.9 ± 201.321305.4 ± 205.381059.16 ± 127.21b976 ± 296.38a,b
    rADC1.66 ± 0.291.3 ± 0.29< .00011.57 ± 0.221.77 ± 0.331.49 ± 0.151.24 ± 0.3a,b
    rCBV1.57 ± 0.823.89 ± 1.97< .00012.09 ± 0.730.95 ± 0.33a4.43 ± 2.38a,b3.72 ± 1.86a,b
    rCBF1.65 ± 0.974.12 ± 2.15< .00012.21 ± 0.920.98 ± 0.48a4.87 ± 3.36a,b3.89 ± 1.69a,b
    rK25.18 ± 7.2613.64 ± 9.86< .00016.5 ± 8.143.57 ± 6.0512.65 ± 12.59b13.93 ± 9.27a,b
    NAA/H2Oc3.19 ± 1.522.39 ± 0.71.0233.20 ± 1.133.18 ± 1.962.53 ± 0.622.34 ± 0.75a
    Cr/H2Oc3.24 ± 1.372.84 ± 1.13.4723.03 ± 0.943.5 ± 1.772.8 ± 0.862.86 ± 1.22
    Cho/H2Oc3.87 ± 1.184.81 ± 2.65.263.74 ± 0.824.03 ± 1.534.75 ± 1.284.83 ± 2.97
    mIns/H2Oc2.27 ± 2.161.77 ± 1.19.6692.09 ± 1.62.49 ± 2.761.5 ± 0.531.84 ± 1.33
    Glx/H2Oc8.54 ± 2.967.94 ± 2.82.698.92 ± 2.742.08 ± 3.277.83 ± 1.637.97 ± 3.12
    Lipids/H2Oc14.25 ± 16.0715.88 ± 28.40.96919.13 ± 20.768.48 ± 3.0211.76 ± 5.8917.11 ± 32.32
    NAA/Crc1.02 ± 0.380.99 ± 0.61.1451.11 ± 0.400.91 ± 0.340.98 ± 0.350.99 ± 0.67a
    Cho/Crc1.33 ± 0.551.80 ± 1.00.0341.42 ± 0.691.22 ± 0.332.14 ± 1.811.7 ± 0.64b
    NAA/Choc0.86 ± 0.410.64 ± 0.40.020.91 ± 0.480.8 ± 0.340.59 ± 0.27a0.66 ± 0.43
    mIns/Crc0.67 ± 0.410.58 ± 0.31.8460.72 ± 0.50.61 ± 0.280.56 ± 0.140.59 ± 0.35
    • Note:—mIns indicates myo-inositol; rADC, relative apparent diffusion coefficient; rCBV, relative cerebral blood volume; rCBF, relative cerebral blood flow; rK2, relative permeability index.

    • ↵a Significantly different from grade II with 1p/19q loss (P < .05).

    • ↵b Significantly different from grade II with intact 1p/19q (P < .05).

    • ↵c Short TE.

    • View popup
    Table 3:

    Sensitivity, specificity, PPV, NPV, and misclassification error rate in the differentiation of tumor grades and genotypes

    Sensitivity/Specificity, PPV/NPVcMRIaMultimodal MRIb,c
    Gradeb
        II73/65%, 67/72%84/82%, 82/84%
        III65/73%, 72/67%82/84%, 84/82%
        Misclassification error rate31%17%
    Genotypec
        1p/19q Loss23/70%, 33/59%29/79%, 46/64%
        1p/19q Intact70/23%, 59/33%79/29%, 64/46%
        Misclassification error rate48%40%
    • Note:—CE indicates contrast enhancement; NPV, negative predictive value; PPV, positive predictive value.

    • The 6 most important predictors arising from the random forest analyses are:

    • ↵a CE+Location+Necrosis+Hemorrhage+Edema+Tumor borders

    • ↵b rCBF+rCBV+CE+ADC+Hemorrhage+ NAA/Cho at short TE

    • ↵c Location+ADC+rCBF+Cho/H2O+ NAA/Cr+lipids/H2O at short TE.

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American Journal of Neuroradiology: 34 (7)
American Journal of Neuroradiology
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S. Fellah, D. Caudal, A.M. De Paula, P. Dory-Lautrec, D. Figarella-Branger, O. Chinot, P. Metellus, P.J. Cozzone, S. Confort-Gouny, B. Ghattas, V. Callot, N. Girard
Multimodal MR Imaging (Diffusion, Perfusion, and Spectroscopy): Is It Possible to Distinguish Oligodendroglial Tumor Grade and 1p/19q Codeletion in the Pretherapeutic Diagnosis?
American Journal of Neuroradiology Jul 2013, 34 (7) 1326-1333; DOI: 10.3174/ajnr.A3352

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Multimodal MR Imaging (Diffusion, Perfusion, and Spectroscopy): Is It Possible to Distinguish Oligodendroglial Tumor Grade and 1p/19q Codeletion in the Pretherapeutic Diagnosis?
S. Fellah, D. Caudal, A.M. De Paula, P. Dory-Lautrec, D. Figarella-Branger, O. Chinot, P. Metellus, P.J. Cozzone, S. Confort-Gouny, B. Ghattas, V. Callot, N. Girard
American Journal of Neuroradiology Jul 2013, 34 (7) 1326-1333; DOI: 10.3174/ajnr.A3352
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