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Research ArticleBrain

Correlation between CT and Diffusion-Weighted Imaging of Acute Cerebral Ischemia in a Rat Model

H.S. Seo, D.G. Na, J.-h. Kim, K.W. Kim and K.-R. Son
American Journal of Neuroradiology April 2011, 32 (4) 728-733; DOI: https://doi.org/10.3174/ajnr.A2362
H.S. Seo
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D.G. Na
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J.-h. Kim
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K.W. Kim
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K.-R. Son
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  • Fig 1.
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    Fig 1.

    Measurement of the region of interest for CT attenuation in ischemic and normal brain tissue. The region of interest is positioned in the inferolateral part of the hemisphere on each CT or MR image, 5 mm ventral to the external auditory canal.

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    Fig 2.

    Longitudinal changes in acute ischemic lesions on CT, DWI, and the ADC map at each time point after MCA occlusion in a rat.

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    Fig 3.

    Time courses of rCT, rDWI, and rADC after MCA occlusion. The rCT decreases gradually and rDWI increases gradually with time (P < .01, respectively). However, rADC rapidly decreases at 1 hour after MCA occlusion, and rADC shows no substantial change after 3 hours (P =. 33).

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    Fig 4.

    Scatterplot of rCT and rDWI. Significant correlation occurs between rCT and rDWI in acute cerebral ischemia after 1, 3, 5, 7, or 9 hours of MCA occlusion. The rCT and rDWI are inversely correlated (P < .01, r = −0.592). The dotted line is the regression line for rCT and rDWI. One unit of rCT increase corresponds to 1.24 U of rDWI decrease.

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    Fig 5.

    Scatterplot of dCT and dADC. No significant linear correlation occurs between dADC and dCT (P = .56) in acute cerebral ischemia after 1, 3, 5, 7, or 9 hours of MCA occlusion.

Tables

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    Table 1:

    The mean values in CT, ADC, and DWI after MCA occlusiona

    HourrCTrDWIrADCdCTbdADCc
    10.94 ± 0.041.40 ± 0.070.62 ± 0.082.00 ± 1.48225.73 ± 52.60
    30.87 ± 0.051.60 ± 0.100.55 ± 0.064.09 ± 1.76268.18 ± 43.21
    (P < .01)(P < .01)(P = .04)(P = .01)(P = .06)
    50.81 ± 0.061.70 ± 0.130.56 ± 0.046.18 ± 2.44262.45 ± 28.54
    (P = .03)(P < .01)(P = .93)(P = .04)(P = .71)
    70.73 ± 0.071.71 ± 0.230.58 ± 0.068.91 ± 2.51250.55 ± 42.30
    (P < .01)(P = .82)(P = .09)(P < .01)(P = .35)
    90.71 ± 0.081.77 ± 0.280.57 ± 0.089.09 ± 2.39257.73 ± 73.12
    (P = .46)(P = .39)(P = .51)(P = .84)(P = .71)
    • a Data are mean ± SD. The figures in parentheses refer to the P values compared with the value of the previous time point in post hoc analysis of repeated-measure analysis.

    • b dCT is in Hounsfield units.

    • c dADC values are ×10−6 mm2/s.

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    Table 2:

    The mean CNRs of CT attenuation, ADC value, and DWI signal intensity after MCA occlusiona

    HourCT (%)PbADC (%)PcDWI (%)Pd
    16.2 ± 4.4<.00138.5 ± 8.4.45339.9 ± 7.1<.001
    312.6 ± 4.5<.00144.8 ± 6.1<.00159.6 ± 9.8<.001
    518.9 ± 6.4<.00144.4 ± 4.0<.00169.9 ± 13.2<.001
    727.1 ± 6.5<.00141.8 ± 6.0.00471.2 ± 22.8<.001
    929.0 ± 8.0.00343.1 ± 7.9.00276.9 ± 28.2<.001
    • a Data are mean ± SD.

    • b CT attenuation versus ADC value.

    • c ADC value versus DWI signal intensity.

    • d DWI signal intensity versus CT attenuation.

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American Journal of Neuroradiology: 32 (4)
American Journal of Neuroradiology
Vol. 32, Issue 4
1 Apr 2011
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H.S. Seo, D.G. Na, J.-h. Kim, K.W. Kim, K.-R. Son
Correlation between CT and Diffusion-Weighted Imaging of Acute Cerebral Ischemia in a Rat Model
American Journal of Neuroradiology Apr 2011, 32 (4) 728-733; DOI: 10.3174/ajnr.A2362

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Correlation between CT and Diffusion-Weighted Imaging of Acute Cerebral Ischemia in a Rat Model
H.S. Seo, D.G. Na, J.-h. Kim, K.W. Kim, K.-R. Son
American Journal of Neuroradiology Apr 2011, 32 (4) 728-733; DOI: 10.3174/ajnr.A2362
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