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Research ArticleBrain

Predicting Grade of Cerebral Glioma Using Vascular-Space Occupancy MR Imaging

H. Lu, E. Pollack, R. Young, J.S. Babb, G. Johnson, D. Zagzag, R. Carson, J.H. Jensen, J.A. Helpern and M. Law
American Journal of Neuroradiology February 2008, 29 (2) 373-378; DOI: https://doi.org/10.3174/ajnr.A0794
H. Lu
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E. Pollack
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R. Young
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J.S. Babb
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G. Johnson
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D. Zagzag
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R. Carson
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J.H. Jensen
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J.A. Helpern
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M. Law
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    Fig 1.

    Schematic diagram of the VASO scans and the VASO pulse sequence. VASO uses a nonselective inversion recovery sequence, and the TI is chosen to null the precontrast blood signal intensity. Two scans using identical parameters are performed before and after the contrast agent administration, the signal intensity difference of which can be used to calculate absolute CBV.

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    Fig 2.

    T2-weighted, CE-T1-weighted, and FLAIR images, as well as VASO maps for WHO grade II, III, and IV gliomas.

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    Fig 3.

    Three VASO indices, that is, VASOTumor, VASOContra, and VASORatio, in grade II (n = 9), III (n = 20), and IV (n = 10) gliomas. Error bars indicate SDs. The units for VASOTumor and VASOContra are percentages. The index VASORatio is dimensionless. Significant differences (P < .05) for each pair are indicated by asterisks.

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    Fig 4.

    ROC curves using VASOTumor or VASORatio. The sensitivity and specificity (in fractions) in terms of distinguishing grade II from higher-grade (grade III and grade IV) tumors are plotted at different thresholds. If the 2 categories have identical distributions of the VASO parameters, the ROC curve would have been a 45° straight line (dotted line). The AUCs are 0.974 and 0.985 for VASOTumor and VASORatio, respectively.

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    Table 1:

    Mean ± SD of each of the VASO and DSC parameters stratified by tumor grade

    GradeVASOTumor, %VASOContra, %VASORatioCBF, mL of Blood per 100 g of Tissue per MinuteCBV, mL of Blood per 100 g of TissuerCBVKTrans, s−1VP, %MTT, s
    II7.5 ± 3.25.4 ± 2.91.5 ± 0.560.1 ± 25.84.2 ± 1.91.4 ± 0.50.011 ± 0.0092.0 ± 1.24.2 ± 0.6
    III41.3 ± 23.66.3 ± 4.28.2 ± 5.5197.8 ± 80.715.3 ± 6.93.8 ± 1.40.019 ± 0.0182.9 ± 2.34.8 ± 1.0
    IV56.1 ± 32.74.8 ± 2.311.6 ± 3.7251.9 ± 160.817.9 ± 9.55.7 ± 2.10.022 ± 0.0373.3 ± 2.74.5 ± 0.8
    • Note:—VASOTumor indicates vascular-space occupancy values in the tumoral regions; VASOContra, vascular-space occupancy signal intensity in regions contralateral to tumor; VASORatio, ratio between tumor side and contralateral side of the vascular-space occupancy; CBF, cerebral blood flow; CBV, cerebral blood volume; rCBV, relative cerebral blood volume; Ktrans, vascular permeability; Vp, fractional plasma volume; MTT, mean transit time.

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    Table 2:

    P values from pairwise comparison between different tumor grades using the VASO and DSC parameters

    VariableVASOTumorVASOContraVASORatioCBFCBVrCBVKtransVPMTT
    II vs III0.0003*0.6850.0002*<0.0001*<0.0001*<0.0001*0.2480.4230.170
    II vs IV<0.0001*0.508<0.0001*0.0006*0.0004*<0.0001*0.8580.4000.509
    III vs IV0.1940.3560.0098*0.4420.6500.025*0.3670.7870.522
    • Note:—VASOTumor indicates vascular-space occupancy values in the tumoral regions; VASOContra, vascular-space occupancy signal intensity in regions contralateral to tumor; VASORatio, ratio between tumor side and contralateral side of the vascular-space occupancy; CBF, cerebral blood flow; CBV, cerebral blood volume; rCBV, relative cerebral blood volume; Ktrans, vascular permeability; Vp, fractional plasma volume; MTT, mean transit time.

    • * Significant differences (P < 0.05, not corrected for multiple comparisons).

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American Journal of Neuroradiology: 29 (2)
American Journal of Neuroradiology
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H. Lu, E. Pollack, R. Young, J.S. Babb, G. Johnson, D. Zagzag, R. Carson, J.H. Jensen, J.A. Helpern, M. Law
Predicting Grade of Cerebral Glioma Using Vascular-Space Occupancy MR Imaging
American Journal of Neuroradiology Feb 2008, 29 (2) 373-378; DOI: 10.3174/ajnr.A0794

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Predicting Grade of Cerebral Glioma Using Vascular-Space Occupancy MR Imaging
H. Lu, E. Pollack, R. Young, J.S. Babb, G. Johnson, D. Zagzag, R. Carson, J.H. Jensen, J.A. Helpern, M. Law
American Journal of Neuroradiology Feb 2008, 29 (2) 373-378; DOI: 10.3174/ajnr.A0794
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