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Improved Turnaround Times | Median time to first decision: 12 days

Research ArticleBrain

Functional CT Perfusion Imaging in Predicting the Extent of Cerebral Infarction from a 3-Hour Middle Cerebral Arterial Occlusion in a Primate Stroke Model

Leena M. Hamberg, George J. Hunter, Kenneth I. Maynard, Chris Owen, Pearse P. Morris, Christopher M. Putman, Christopher Ogilvy and R. Gilberto González
American Journal of Neuroradiology June 2002, 23 (6) 1013-1021;
Leena M. Hamberg
aMGH Perfusion and Physiology Analysis Laboratory, the Massachusetts General Hospital and Harvard Medical School, Boston
bDepartment of Neuroradiology, the Massachusetts General Hospital and Harvard Medical School, Boston
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George J. Hunter
aMGH Perfusion and Physiology Analysis Laboratory, the Massachusetts General Hospital and Harvard Medical School, Boston
bDepartment of Neuroradiology, the Massachusetts General Hospital and Harvard Medical School, Boston
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Kenneth I. Maynard
cDepartment of Neurosurgery, the Massachusetts General Hospital and Harvard Medical School, Boston
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Chris Owen
cDepartment of Neurosurgery, the Massachusetts General Hospital and Harvard Medical School, Boston
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Pearse P. Morris
bDepartment of Neuroradiology, the Massachusetts General Hospital and Harvard Medical School, Boston
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Christopher M. Putman
bDepartment of Neuroradiology, the Massachusetts General Hospital and Harvard Medical School, Boston
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Christopher Ogilvy
cDepartment of Neurosurgery, the Massachusetts General Hospital and Harvard Medical School, Boston
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R. Gilberto González
bDepartment of Neuroradiology, the Massachusetts General Hospital and Harvard Medical School, Boston
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  • Fig 1.
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    Fig 1.

    Acutely hypoperfused lesion sizes, as measured with perfusion CT, for animals 1, 3, 4, and 5 at 30- and 150-minute time points after the start of endovascular occlusion. At each time point, the leftmost column corresponds to lesion size (in square millimeters) measured on the CBF map; middle column, lesion size measured on the CBV map; and rightmost column, lesion size measured on the MTT map. The dashed line represents outcome infarct size, as determined on the ex vivo T2-weighted MR image. Data for animal 5 were not available at 150 minutes after occlusion because of technical factors.

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    Fig 2.

    Regression statistics between the CT-determined CBF-, CBV-, and MTT-based lesion sizes and the 48-hour outcome lesion sizes, as measured at ex vivo MR imaging. Each point represents a single measurement by an observer. Scatter represents inter- and intra-observer variations. These variations were not statistically significant, as determined by using ANOVA. Data from animal 2 were not included in this particular analysis because the occluding balloon leaked, with resultant early reperfusion and subsequent reduction in the size of the infarcted region (Fig 6).

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    Fig 3.

    Pre- and postocclusion maps for animals 3 and 5. The first row and third row from the top present the CBV, MTT, and CBF maps from the control preocclusion study in animals 3 and 5, respectively. The second row and fourth row from the top present the maps obtained 30 minutes after the onset of MCA occlusion. In animal 3, right MCA territorial hypoperfusion is present, with involvement of the putamen and subtle involvement of the anterolateral thalamus. In animal 5, left MCA territorial hypoperfusion is clearly visible after occlusion, but the basal ganglia are spared. Note that each image is individually windowed to facilitate visualization of the lesions.

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    Fig 4.

    DSA images obtained immediately after MCA occlusion (left) and immediately after reperfusion (right) in animal 5. During occlusion, the left MCA vessels are absent (arrows), but they are clearly seen after reperfusion.

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    Fig 5.

    Images in animal 4. Top row, CBV, MTT, and CBF maps from the control preocclusion study. Middle row, Results from the study obtained 30 minutes after the start of occlusion. The right MCA territorial hypoperfusion is clearly visible after occlusion. Bottom row, Examples of ROIs representing the lesion on the maps. The lesion is larger on the MTT map than on the CBV and CBF maps. This is likely due to the presence of collateral circulation that results in normal perfusion on the CBV and CBF maps but prolonged transit time. Each image is individually windowed to facilitate presentation of the lesion.

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    Fig 6.

    In animal 2, which did not have any neurologic deficit, the balloon leaked between the 30- and 150-minute postocclusion study points. This early reperfusion reduced the outcome size of the lesion. This is an example of a desirable situation in which partial reperfusion of an ischemic territory occurs sufficiently early to substantially reduce the outcome infarct size.

Tables

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    TABLE 1:

    Repeated measurements of lesion sizes

    BaboonObserver 1 Measurements (mm2)Observer 2 Measurements (mm2)
    CT PerfusionCT Perfusion
    30 Minutes150 Minutes30 Minutes150 Minutes
    CBFCBVMTTCBFCBVMTTMRICBFCBVMTTCBFCBVMTTMRI
    1878888878847845846912864897886897907856882
    2818815775376329334413840854845384386396382
    3865829855817929844901888869843903844905873
    4422399775402405709495453463915493469875484
    5756731749NDNDND696704709726NDNDND724
    1884885857874857847834840884905894850917865
    2844833844346317331404868858832403406413370
    3840811819909871801884877908874904905849879
    4422398819408396797493493482921462498852472
    5776671707NDNDND684715685683NDNDND732
    1909881872911896868863865847920849874847858
    2862868840392350322379826833839382376406383
    3909868859903892876863881889850862859823890
    4415403763412401750434464501852488485917488
    5759712688NDNDND655710711722NDNDND736
    1920893915931832883912909871868867925898863
    2852850805392379359369871819820401391413377
    3948855844907874860887861902866849828878861
    4409406774421401762460478470837479471876472
    5749711651NDNDND683729683707NDNDND725
    Coefficient of Variation (%)*Coefficient of Variation (%)*
    12.20.62.84.23.22.14.43.32.52.52.63.73.81.2
    22.32.74.05.87.94.75.32.52.11.32.83.22.01.7
    35.43.02.15.13.03.81.81.32.01.73.23.84.11.4
    41.50.93.11.91.04.86.23.73.54.92.92.73.11.7
    51.53.65.8NDNDND2.61.52.22.7NDNDND0.8
    • ↵* Average variabilities were 3.7% for observer 1 and 2.1% for observer 2. No statistically significant differences in interobserver or intraobserver variabilities were present, as measured by using ANOVA (P > 0.36).

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    TABLE 2:

    Hypoperfused and outcome lesion sizes

    BaboonLesion Areas*
    30 Minutes150 MinutesOutcome Size†Neurobehavior Score
    CBFCBVMTTCBFCBVMTT
    1884 ± 10881 ± 6888 ± 8884 ± 11873 ± 12870 ± 9873 ± 104
    2848 ± 7841 ± 7825 ± 9384 ± 6367 ± 11372 ± 14385 ± 60
    3884 ± 12866 ± 12851 ± 6882 ± 12875 ± 12854 ± 12880 ± 53
    4444 ± 11440 ± 15832 ± 22445 ± 14441 ± 16817 ± 26475 ± 70
    5737 ± 9702 ± 7704 ± 11No DataNo DataNo Data704 ± 100
    Mean ± SEM‡737 ± 33722 ± 32819 ± 14737 ± 44730 ± 43847 ± 11733 ± 30
    • ↵* Hypoperfused lesion sizes (in square millimeters) as measured with perfusion CT at 30 and 150 minutes after the start of occlusion.

    • ↵† The outcome lesion size is measured with MR imaging at 48 hours.

    • ↵‡ Data in baboon 2 are not included in the calculation of the mean values.

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American Journal of Neuroradiology: 23 (6)
American Journal of Neuroradiology
Vol. 23, Issue 6
1 Jun 2002
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Leena M. Hamberg, George J. Hunter, Kenneth I. Maynard, Chris Owen, Pearse P. Morris, Christopher M. Putman, Christopher Ogilvy, R. Gilberto González
Functional CT Perfusion Imaging in Predicting the Extent of Cerebral Infarction from a 3-Hour Middle Cerebral Arterial Occlusion in a Primate Stroke Model
American Journal of Neuroradiology Jun 2002, 23 (6) 1013-1021;

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Functional CT Perfusion Imaging in Predicting the Extent of Cerebral Infarction from a 3-Hour Middle Cerebral Arterial Occlusion in a Primate Stroke Model
Leena M. Hamberg, George J. Hunter, Kenneth I. Maynard, Chris Owen, Pearse P. Morris, Christopher M. Putman, Christopher Ogilvy, R. Gilberto González
American Journal of Neuroradiology Jun 2002, 23 (6) 1013-1021;
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