(Stroke. 1999;30:800-806.)
© 1999 American Heart Association, Inc.
Original Contributions |
From the Department of Radiology and Nuclear Medicine (J.H., E.S., H.T., B.A.A., T.O., Y.M.) and the Department of Strokology (A.S.), Akita Research Institute of Brain and Blood Vessels, Akita, Japan.
Correspondence to Jun Hatazawa, MD, PhD, Department of Radiology and Nuclear Medicine, Akita Research Institute of Brain and Blood Vessels, 6-10 Senshu-Kubota Machi, Akita 010, Japan. E-mail hatazawa{at}akita-noken.go.jp
| Abstract |
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MethodsNine patients with unilateral occlusion of either the middle cerebral artery or the internal carotid artery (4 men and 5 women; mean±SD age, 74.4±11.6 years) were studied within 6 hours after stroke onset. The relative CBV (relCBV) and CBF (relCBF) in the lesions were defined relative to the contralateral mirror regions.
ResultsIn the brain regions with mild (relCBF
0.60),
moderate (0.40
relCBF<0.60), and severe (relCBF <0.40)
hypoperfusion, the mean relCBV values were 1.29±0.31, 0.94±0.49, and
0.30±0.22, respectively. The relCBV was significantly elevated in the
brain areas with mild hypoperfusion (P<0.001) and
significantly reduced in the brain areas with severe hypoperfusion
(P<0.001). The relCBF was significantly better than the
relCBV in predicting the evolution of infarction
(P<0.02). The probability of evolving infarction for
the hypervolemic (relCBV >1.0) regions was significantly lower than
that for hypovolemic (relCBV <1.0) regions in the relCBF range between
0.40 and 0.50 (P<0.02).
ConclusionsIn acute ischemic stroke within 6 hours of onset the CBV can be either increased, normal, or decreased, depending on the severity of hypoperfusion. The increased CBV has a protective effect on evolving infarction. Although the CBF is a better predictor of tissue outcome, the CBV measurement may help detect potentially salvageable brain tissue in the penumbra with compromised blood flow.
Key Words: cerebral blood flow cerebral blood volume cerebral infarction magnetic resonance imaging tomography, emission computed
| Introduction |
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We performed single-photon emission CT with [99mTc]hexamethylpropylenamine-oxime (99mTc-HMPAO-SPECT) and DSC-MRI in patients with cerebral infarction due to either unilateral internal carotid or middle cerebral artery (MCA) occlusion within 6 hours after the stroke onset. In the present study, we aimed to correlate the abnormality in CBV with CBF in the vascular territory of the occluded artery in an early stage of ischemic stroke. The CBV abnormality was analyzed in relation to the magnitude of hypoperfusion and the development of collateral blood supply. The efficiency to predict the tissue outcome (infarction or non-infarction) by either CBF, CBV, or both parameters was tested. The effect of CBV change on the probability of progressing to infarction was examined.
| Subjects and Methods |
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SPECT Imaging
After neurological examination and CT scanning, CBF
imaging was performed by means of a ring type SPECT scanner (Headtome
SET-080, Shimadzu Co) using 740 MBq (20 mCi) of
99mTc-HMPAO. The scanner
simultaneously produces 31 tomographic axial images that
cover the whole brain. A low-energy, high-resolution collimator was
used for data acquisition. Image matrix size was 128x128. A
third-order Butterworth filter with a cutoff frequency of 0.05
cycles/cm and a ramp filter were used for image reconstruction.
In-plane and axial spatial resolutions of the scanner were 14 and
22 mm full width at half maximum, respectively. The CBF imaging
started 10 minutes after the injection of
99mTc-HMPAO, and data acquisition continued for
24 minutes. The image slices were parallel to the orbitomeatal (OM)
line with a 5-mm interslice distance. Reconstructed images were
corrected for tissue absorption using an attenuation coefficient of
0.065 cm-1, and for the nonlinear uptake of
99mTc-HMPAO in high-flow areas with the method
developed by Lassen et al.18 A previous
study19 validated the accuracy of this correction by
comparing the CBF measured by 99mTc-HMPAO-SPECT
with that estimated by PET with
C15O2. Relative CBF
(relCBF) was defined as the total SPECT counts in the lesion divided by
the total counts in the mirror region in the contralateral unaffected
hemisphere.
MRI
MRI studies were performed using a 1.5-T whole-body
superconductive scanner (Magnetom Vision, Siemens Medical Systems).
Each study began with a conventional T2-weighted turbo spin-echo
sequence (TR=3600 ms, TE=96 ms, number of excitations=1). Nineteen
T2-weighted image (T2-WI) slices, which covered the whole brain, were
obtained parallel to the anterior commissure-posterior commissure
(AC-PC) line with a 6-mm slice interval. One of the T2-WI slices was
set at the AC-PC line. The T2-WI was followed by a 3D time-of-flight
MRA (TR=39 ms, TE=6.5 ms, flip angle 20°, 20-cm field of view, 1-mm
slice thickness, number of excitations=1, 60-mm slab thickness,
partition 60, matrix size 128x128). Velocity compensation was
performed in the readout and slice-selection directions. A
maximum-intensity projection algorithm was used for MRA image
reconstruction.
Dynamic Susceptibility Contrast-Enhanced MRI
The DSC-MRI studies were performed with a single-shot
gradient-echo echo-planar pulse sequence (TE=54 ms, flip angle 90°,
23-cm field of view, 5-mm slice thickness) after a bolus injection of
0.1 mmol/kg Gd-DTPA. This contrast medium was administered to the
antecubital vein over a period of 3 to 5 seconds, followed by the
injection of 10 mL saline. Immediately after the administration, the
scan was initiated to measure signal intensity change during the first
bolus passage of the contrast medium through the brain. We obtained 60
single-shot echo-planar images with a 1-second repetition time for 60
seconds in 5 slices, 1 covering the cerebellum and the other 4 in the
cerebrum obtained at 0 mm, 12 mm, 24 mm, and 36 mm
above and parallel to the AC-PC line. The image matrix size was
128x128.
After the DSC-MRI, T1-weighted spin-echo images (TR=665 ms, TE=14 ms) were obtained to determine whether the contrast medium leaked into brain parenchyma. By visual inspection, none of the patients showed a parenchymal enhancement.
Calculation of Relative CBV
A total of 300 images acquired in 60 seconds (5 slices per
second) were transferred to a Unix workstation (SUN Ultrasparc 20) to
create maps of CBV. As previously described,5 6 the
changes in signal intensity during the bolus passage of the
paramagnetic contrast medium correlate with the concentration of the
contrast medium in blood. In each pixel, the signal intensity change in
60 seconds before, during, and after the bolus passage of the contrast
medium was fitted by a gamma function and defined as the
concentration-time curve. According to the tracer kinetic principles,
CBV was defined as the area under the concentration-time curve and
calculated by use of the MR Vision software (MR Company). The CBV
images were generated at 0 mm, 12 mm, 24 mm, and 36
mm above and parallel to the AC-PC line and at the level passing
through the cerebellum. Relative CBV (relCBV) was defined as a ratio of
CBV in the lesion to that in the mirror region in the contralateral
unaffected hemisphere.
Image Registration
The T2-WI, CBV, and CBF images were transferred to a Unix
workstation (TITAN 750, Kubota Computers). Our data analysis
requires spatial registration of the T2-WI, CBV, and CBF images. The
T2-WI and CBV images were taken consecutively while the subject was in
the same position in the scanner. Care was taken to
immobilize subject's head to avoid head movement between
scans. Therefore, the T2-WI and CBV images obtained at 0 mm,
12 mm, 24 mm, and 36 mm above and parallel to the AC-PC
line are in registration.
The CBF image was registered to the T2-WI using the automatic
multimodality image registration (AMIR) software developed by Ardekani
et al.20 21 In this method, the MR image is first
segmented into a number of spatially contiguous connected components
using K-means clustering and connected components analysis. Six
rigid body parameters (3 translations and 3 rotations) are
then found such that when the CBF images are matched to the T2-WI
images using these parameters, the total sum of squared
deviations from mean CBF within all connected components is minimized
(see Reference 2121 for details). The accuracy of registration between
PET and MR images with this method has been previously estimated to be
<3 mm.21 After the registration procedure, we
obtained CBF and CBV images registered to the T2-WI. Figure 1
demonstrates the original CBF image,
registered CBF image, fusion of the registered SPECT and T2-WI obtained
at the AC-PC line, and the corresponding CBV image.
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Data Analysis
The CBV and CBF images registered to the T2-WI obtained at
0 mm, 12 mm, and 24 mm above and parallel to the AC-PC
line were selected for analysis. Several 16x16
mm2 square shape regions of interest (ROIs) were
placed on the CBF images and the corresponding CBV images in the
affected hemisphere and in the mirror regions in the contralateral
hemisphere as follows: 7 ROIs in the AC-PC line+0-mm image (2 on
inferior frontal gyrus, 4 on temporal lobe, and 1 on basal
ganglia); 7 ROIs in the AC-PC line+12-mm image (2 on
inferior frontal gyrus, 4 on temporal lobe, and 1 on basal
ganglia); and 5 ROIs in the AC-PC line+24-mm image
(inferior frontal gyrus, precentral gyrus, postcentral
gyrus, supramarginal gyrus, and corona radiata). The setting of ROIs is
shown in Figure 1
. According to their relCBF value, each ROI was
classified as a region with mild (relCBF
0.60), moderate (0.40
relCBF <0.60), or severe (relCBF <0.40) hypoperfusion. The threshold
for these relCBF categories were determined retrospectively. The upper
threshold of 0.60 was the highest relCBF among the infarcted brain
regions. The lower threshold of 0.40 was the lowest relCBF among the
noninfarcted brain regions.
The final location and extension of cerebral infarction was evaluated by an MRI study performed after 7days or later (mean±SD, 21±10 days) in 7 patients and a CT study (mean±SD, 19±3 days) in 2 patients. The brain region for each ROI in the affected side was classified as infarcted or noninfarcted. The probability of infarction (PI) was defined as the number of ROIs for infarction divided by the number of all ROIs in the relCBF range of 0.40 to 0.50 and 0.50 to 0.60. The PI was analyzed separately for hypervolemic (relCBV >1.0) and hypovolemic (relCBV <1.0) ROIs in the moderate hypoperfusion range.
Statistical Analysis
Mean relCBV values in the brain areas with mild, moderate, and
severe hypoperfusion were compared with 1 and statistical significance
was determined by the Wilcoxon test. Friedman's test was used
to evaluate a difference in relCBV and relCBF between infarcted and
noninfarcted regions. Univariate discriminant
analysis was performed to estimate cutoff values that best
discriminated between infarction and noninfarction.
Multivariate (relCBV and relCBF) discriminant
analysis was used to obtain a cutoff function. By using the
best cutoff values and function, the sensitivity (true positive rate),
specificity (true negative rate), and efficiency to predict the tissue
outcome was calculated. Significant difference in the efficiency
between relCBV, relCBF, and both parameters was evaluated
by a
2 test. Receiver operating characteristic
(ROC) analysis was also performed to examine the accuracy of
relCBF and relCBV to predict the tissue outcome.22 The
areas under the ROC curves for relCBV and relCBF were calculated and
compared with Wilcoxon statistics. Significant difference in
the PI between hypervolemic and hypovolemic regions was examined by a
2 test.
Angiographic Evaluation
Three of the 9 patients were studied by conventional 4-vessel
angiography immediately after the SPECT and MRI studies. In these
patients, the development of leptomeningeal collateral circulation was
evaluated by 2 neuroradiologists (J.H. and E.S.) independently.
| Results |
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Figure 3
illustrates the
relationship between relCBV and relCBF in each infarcted (filled
circles) and noninfarcted (open circles) region. In the infarcted
(n=106) and noninfarcted regions (n=65), mean relCBV was 0.61±0.47 and
1.26±0.37, respectively, and mean relCBF was 0.39±0.12 and
0.69±0.15, respectively. Mean relCBV and relCBF for the infarcted
regions were both significantly lower than those for the noninfarcted
regions (P<0.01). Figure 4
illustrates a scatterplot of relCBF and relCBV for infarcted (filled
triangles) and noninfarcted (open circles) regions. The best cutoff
value to discriminate between infarction and noninfarction was 0.52 for
relCBF and 0.85 for relCBV. The best discriminant function was
z=6.33xrelCBF+0.66xrelCBV-3.75. Table 2
shows the sensitivity, specificity, and
efficiency of discrimination between infarction and noninfarction. The
efficiency of relCBF was significantly better than that of relCBV
(P<0.02). The efficiency was not significantly improved
when both parameters were used for discrimination. The area
under the ROC curve for relCBF (mean±SE, 0.90±0.02) was significantly
larger than that for relCBV (0.81±0.03, P<0.01).
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Mean PI in the hypervolemic regions was 0.68 and 0.50 in the relCBF ranges of 0.40 to 0.50 and 0.50 to 0.60, respectively. Mean PI in the hypovolemic regions was 0.96 and 0.58 in the corresponding relCBF ranges, respectively. Mean PI of hypervolemic regions was significantly lower than that of hypovolemic regions (P<0.02) in the relCBF range between 0.40 and 0.50.
Conventional 4-vessel angiography was performed in 3 patients
(cases 1, 2, and 5) after the SPECT and MR studies. In patient 1, the
blood supply from the left anterior cerebral artery through the
leptomeningeal anastomosis was observed in the brain regions with the
increased relCBV distal to the occluded MCA. In patient 2, the
leptomeningeal collaterals arising from the right paracentral artery
filled the right central artery in retrograde fashion (Figure 5
). In patient 5, the collateral
perfusion was not developed. In patients 1 and 2, the retrograde
arterial filling was prolonged to venous phase. The
capillary blush was not evident.
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| Discussion |
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In this study, we found an increase in the relCBV in the vascular
territory distal to the occluded artery. However, this should be
carefully interpreted because of the potential errors in the DSC-MRI
method.2 12 The calculation of CBV is based on the
assumption that the contrast medium is localized in the
vessels.5 6 When the blood-brain barrier is damaged by the
ischemia, the concentration time curve may not accurately
represent a passage of the Gd-DTPA because of leakage into
brain parenchyma. We analyzed the concentration-time curves
from the brain regions with increased relCBV. The curves showed a
delayed bolus passage with a reduced peak and increased width that
corresponded to pattern 2 described by Rother et al.13
Relative mean transit time and time to peak were 1.37±0.23 and
1.42±0.32, respectively. T1-WI after DSC-MRI showed no detectable
parenchymal enhancement, in agreement with the previous reports that
parenchymal enhancement was not seen on the day of onset in patients
with acute cerebral infarction.23 24 The relCBV increase
was associated with mild hypoperfusion (relCBF
0.60), which did not
induce an infarction. We therefore concluded that the relCBV increase
does not result from the leakage of the Gd-DTPA due to blood-brain
barrier breakdown but may represent an altered cerebral
hemodynamics after arterial occlusion.
The relCBV increase in the vascular territory of the occluded artery has been found in previous DSC-MRI studies14 15 but not correlated with relCBF. The CBV increase has also been found in PET studies in an acute MCA occlusion model of baboons,25 in patients with acute cerebral infarction,16 17 and in patients with chronic internal carotid artery occlusion.26 27 The increased CBV has been attributed to a vasodilatation of precapillary resistant vessels against a fall of perfusion pressure. In 2 patients (cases1 and 2), we could analyze the location and extent of brain regions with raised relCBV in relation to the angiographic features. In both cases, a retrograde filling of the cortical arteries distal to the occluded artery via the leptomeningeal collateral channel was found in the areas corresponding to those with increased relCBV. The transit of contrast medium was delayed. In patient 5, neither the increase in relCBV nor the leptomeningeal collateral perfusion was found in the territory distal to the occluded right MCA. Although the mechanisms for developing collateral circulation are not fully understood, the increase in relCBV may depend on the development of collateral circulation.
Moderate hypoperfusion was defined as the relCBF range between 0.40 and 0.60 where 75% of regions were infarcted and others were not. This relCBF range was similar to the ischemic threshold observed in a large patient population studied within the same time window using 99mTc-HMPAO-SPECT.28 We speculate that the brain regions in this relCBF range may correspond to an "ischemic penumbra".29 30 The penumbra tissue may consist of both hypervolemic and hypovolemic regions associated with the delayed bolus transit. This view is supported by the recent experimental studies that the hemodynamics in the penumbra was characterized by delays in bolus transit time due to a perfusion through the collateral channels.31 32 33
Is there any effect of hypervolemia and hypovolemia on evolving ischemic brain damage? Heiss et al. studied the relationship between hemodynamic and metabolic failures in acute cerebral infarction and progressive derangement of peri-infarct viable tissue in humans.17 In their study, a raised CBV measured within 6 to 48 hours of stroke onset did not contribute to maintaining metabolic activity in the peri-infarct regions. Tomita et al34 found "low-perfusion hyperemia" in the ischemia model of cat brain, which followed the initial CBV decrease immediately after MCA occlusion and disappeared within several hours. The low-perfusion hyperemia did not have a protective effect on ischemic lesion evolution. In the present study, however, the probability of progressing to infarction was significantly lower in the hypervolemic regions (PI=0.68) than in the hypovolemic regions (PI=0.96) in the relCBF range between 0.40 and 0.50. Because there was no significant difference in mean relCBF between the hypervolemic (relCBF=0.46±0.02) and hypovolemic regions (0.45±0.02) in this relCBF range, hypervolemia within 6 hours of stroke onset may reduce the risk for evolving infarction. The protective effect of hypervolemia on evolving infarction was also suggested by Lo et al33 in their study of mice lacking endothelial nitric oxide synthase.
Discriminant analysis and ROC analysis indicated that the evolution of infarction can be predicted by the relCBF significantly better than by the relCBV. By employing both relCBF and relCBV, the efficiency in predicting a tissue outcome was not significantly improved. The relCBV measurement, however, may help in distinguishing between the regions at low risk of infarction and those at high risk and detecting potentially salvageable brain regions.
There are several methodological limitations in the present study. First, we used relative measures by taking ratios of CBV and CBF in the lesion to those in the mirror region in the contralateral hemisphere. This normalization assumes that the contralateral hemisphere is unaffected by the unilateral ischemic insult. However, as reported by Meyer et al,35 there was contralateral hemispheric reduction of CBF, termed "transhemispheric diaschisis," despite strictly unilateral hemispheric stroke. Therefore, the relCBF may underestimate a severity of hypoperfusion in the territory of the occluded artery. The effect of transhemispheric diaschisis on CBV is another potential source of error. Second, we used 99mTc-HMPAO as a flow tracer. It has been recognized36 that hyperfixation of 99mTc-HMPAO occurs in subacute (2 to 3 weeks) ischemic stroke when the infarcted area is reperfused. This may lead to spuriously high estimates of CBF. However, the use of 99mTc-HMPAO may not critically affect main findings of the present study, because our patients were studied within 6 hours after onset and did not show evidence of recanalization in the MRA or conventional angiographic study. Third, there is a difference in spatial resolution between the SPECT and DSC-MRI. Even after image registration, the different magnitude of partial volume averaging and the difference in slice thickness between the SPECT and DSC-MR may inherently limit the accuracy of the CBF-CBV relationship.
The design of the present study also limited the accuracy of
the results. First, there is a time interval between the SPECT and MR
studies. In 6 patients, the interval was
1 hour. In other 3 cases,
this was 2.2 to 2.5 hours. The interval between studies may be a source
of error, because hemodynamic changes may occur during
the first several hours of onset. Second, it is difficult to determine
whether the infarction found by the follow-up T2-WI or CT is induced by
the initial ischemic event alone.
Despite these limitations, several conclusions could be made. In
patients with acute ischemic stroke studied within 6 hours
after onset, the relCBV was significantly increased in the noninfarcted
area in the territory of the occluded artery. The relCBV increase was
associated with the development of leptomeningeal collateral
circulation. The relCBV was significantly reduced in the core of
infarction. A relCBV of <
0.70 was indicative of evolving into
infarction. The relCBF is a better predictor of infarction than relCBV.
The CBV measurement, however, provided the new information that the
probability of infarction in the hypervolemic regions is lower than
that in the hypovolemic regions. The protective effect of hypervolemia
may suggest testable clinical strategies for protection of penumbra
tissue.
| Acknowledgments |
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Received June 29, 1998; revision received January 4, 1999; accepted January 4, 1999.
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