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Stroke. 1999;30:1263-1270

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*Transient Ischemic Attack

(Stroke. 1999;30:1263-1270.)
© 1999 American Heart Association, Inc.


Original Contributions

Reperfusion in a Gerbil Model of Forebrain Ischemia Using Serial Magnetic Resonance FAIR Perfusion Imaging

Gaby S. Pell, MSc; Mark F. Lythgoe, MSc; David L. Thomas, BSc; Fernando Calamante, BSc; Martin D. King, PhD; David G. Gadian, PhD Roger J. Ordidge, PhD

From the Department of Medical Physics and Bioengineering, University College London (G.S.P., D.L.T., R.J.O.), and The Royal College of Surgeons Unit of Biophysics, Institute of Child Health, University College London Medical School, (D.L.T., F.C., M.F.L., M.D.K., D.G.G.), London, UK.

Correspondence to Gaby Pell, RCS Unit of Biophysics, Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK. E-mail g.pell{at}medphys.ucl.ac.uk


*    Abstract
up arrowTop
*Abstract
down arrowIntroduction
down arrowMaterials and Methods
down arrowResults
down arrowDiscussion
down arrowReferences
down arrowIntroduction 
down arrowReferences 
 
Background and Purpose—Existing methods for the quantitative measurement of the changing cerebral blood flow (CBF) during reperfusion suffer from poor spatial or temporal resolution. The aim of this study was to implement a recently developed MRI technique for quantitative perfusion imaging in a gerbil model of reperfusion. Flow-sensitive alternating inversion recovery (FAIR) is a noninvasive procedure that uses blood water as an endogenous tracer.

Methods—Bilateral forebrain ischemia of 4 minutes' duration was induced in gerbils (n=8). A modified version of FAIR with improved time efficiency was used to provide CBF maps with a time resolution of 2.8 minutes after recirculation had been initiated. Quantitative diffusion imaging was also performed at intervals during the reperfusion period.

Results—On initiating recirculation after the transient period of ischemia, the FAIR measurements demonstrated either a symmetrical, bilateral pattern of flow impairment (n=4) or an immediate side-to-side difference that became apparent with respect to the cerebral hemispheres in the imaged slice (n=4). The flow in each hemisphere displayed a pattern of recovery close to the preocclusion level or, alternatively, returned to a lower level before displaying a delayed hypoperfusion and a subsequent slow recovery. The diffusion measurements during this latter response suggested the development of cell swelling during the reperfusion phase in the striatum.

Conclusions—The CBF during the reperfusion period was monitored with a high time resolution, noninvasive method. This study demonstrates the utility of MRI techniques in following blood flow changes and their pathophysiological consequences.


Key Words: animal models • cerebral ischemia, transient • magnetic resonance imaging • perfusion • reperfusion


*    Introduction
up arrowTop
up arrowAbstract
*Introduction
down arrowMaterials and Methods
down arrowResults
down arrowDiscussion
down arrowReferences
down arrowIntroduction 
down arrowReferences 
 
After a stroke, reperfusion may occur spontaneously or via an interventional technique, such as thrombolysis. Animal studies of reperfusion after global ischemia have demonstrated that an impaired level of cerebral blood flow (CBF) may develop on recirculation.1 In models of focal ischemia, a varied range of flow levels have been observed on reperfusion.2 A few studies have suggested that a period of compromised blood flow after recirculation may not be pathogenic.3 4 Clinical reports of the pathogenesis of CBF impairment after reperfusion are limited,5 6 and this may reflect the time delay before most patients can be scanned. Because the use of thrombolytic therapy for the treatment of stroke is becoming more widespread, it is important to be able to understand any detrimental effects of recirculation. An aim of this study was to use the MRI techniques of perfusion and diffusion imaging to gain further insight into postreperfusion vascular and tissue status.

Two major categories of defects in circulation that follow a period of transient global ischemia have been characterized over the past 30 years. The first of these is known as the "no-reflow phenomenon,"7 in which areas of the brain fail to reperfuse. The alternative pattern is that of hyperemia followed by hypoperfusion.8

Many studies have been carried out that have aimed to characterize and follow the postischemic disturbances in circulation that occur after a period of transient global ischemia. An ideal study of postischemic reperfusion would track the time course of these changes in a single animal and would offer good regional differentiation, because a heterogenous reflow might be expected. Previous investigations have used methods of perfusion quantification such as autoradiography using [14C]-iodoantipyrine,9 [3H]-nicotine,10 or [14C]-butanol11 ; hydrogen clearance12 ; xenon clearance13 ; and the technique of laser-Doppler flowmetry.14 All of these methods suffer from limitations in their application to such studies. For example, hydrogen clearance relies on the invasive placement of electrodes and provides measurements that are localized to the cortical volume in their immediate vicinity. The technique of xenon clearance is limited in spatial resolution and is susceptible to errors due to partial volume effects and high volumetric flow rates.15 Autoradiography, although displaying good spatial resolution, is invasive and does not permit longitudinal observations in a single animal. We have therefore implemented a technique for perfusion quantification that offers the relatively high spatial and temporal resolution of MRI.

The principal use of MRI is to obtain structural images of brain tissue. Recently, flow-sensitive implementations of the technique have been reported that allow quantitative maps of cerebral perfusion to be obtained.16 These techniques utilize the magnetic labeling of the water spins of inflowing blood or static tissue in the image voxel by the saturation or inversion of one with respect to the other. The flow-sensitive alternating inversion recovery (FAIR) technique was implemented in this study.17 Perfusion MRI was combined in this study with diffusion imaging, which provides measurements of the apparent diffusion coefficient (ADC) of tissue water. A reduction of the ADC is believed to be consistent with the development of cellular energy failure and the resultant cell swelling.18 19 20

The purpose of this study was to use a combination of quantitative perfusion and diffusion imaging in an investigation of postischemic recirculation. A modification of the FAIR method was implemented that enabled a time-course study of cerebral perfusion with improved time efficiency. These techniques were used in an investigation of the reperfusion deficits that occur following a transient period of total forebrain ischemia in a gerbil model.


*    Materials and Methods
up arrowTop
up arrowAbstract
up arrowIntroduction
*Materials and Methods
down arrowResults
down arrowDiscussion
down arrowReferences
down arrowIntroduction 
down arrowReferences 
 
Adult Mongolian gerbils (n=8; weight, 60 to 70 g; B&K Universal Ltd, Hull, UK) were used in this study. The animals were anesthetized with 2% halothane. Anesthesia was subsequently maintained with a mixture of 1.5% halothane and 0.4 L/min of oxygen that was supplied via a nose cone, and the gerbils were allowed to breathe spontaneously throughout the study. The common carotid arteries were carefully dissected away from the vagus nerves. Nylon snares (Ethilon 2/0, Ethicon) were placed around both arteries and attached to individually controlled manual screw systems to allow remote bilateral occlusion with the animal in the magnet.21 Before the animal was placed inside the magnet bore, the mechanics of the occlusion procedure were verified. Body temperature was recorded with a rectal thermometer and maintained at between 37°C to 38°C by blowing warm air into the magnet bore. Respiratory rate and ECG were also monitored. All procedures were in accordance with institutional and governmental guidelines.

Experimental Protocol
The experimental protocol commenced with a period of control imaging. Bilateral occlusion was then initiated by tightening the snares around the common carotid arteries. This state was maintained for 4 minutes. The snares were then opened to begin the reperfusion phase. Perfusion and diffusion imaging were continued for at least 3 hours.

MRI Methods
MRI measurements were performed on a 2.35-T horizontal bore magnet (Oxford Instruments) interfaced to an SMIS console. The radiofrequency (RF) pulses were transmitted with a volume coil of length 6.5 cm. The signal was received with a separate 3-cm-diameter surface coil.

FAIR Perfusion Imaging
Full analyses of the theory of FAIR imaging have been reported elsewhere.17 22 Briefly, the technique relies on the modification of the rate of tissue T1 (spin-lattice) relaxation as a direct consequence of inflowing blood water spins. Manipulation of the fundamental Bloch equations enables the following expression for the apparent T1, T1app, in the presence of flow to be obtained:

(1)
where T1 is the longitudinal relaxation time of tissue water, f is the blood flow, and {lambda} is the blood-brain partition coefficient.16 The apparent change in the relaxation time can be probed by suitable application of inversion pulses that initiate the process of T1 relaxation. Two images are acquired in FAIR: a flow-sensitive image due to its preceding slice-selective inversion, and a relatively flow-insensitive image which is preceded by a non–slice-selective inversion pulse. The subtracted signal intensity is manipulated with the use of parameters obtained during an inversion recovery fit to obtain the flow in standard units (milliliters per 100 grams per minute).

The FAIR technique used an adiabatic FOCI T-shape inversion pulse23 for improved inversion slice definition. Bipolar gradient pulses were applied simultaneously along each gradient direction to eliminate signal contamination from fast-moving arterial spins.16 FAIR was implemented with a spin-echo echo-planar imaging sequence (TE=35 ms; imaging slice thickness, 2.3 mm; inversion slice thickness, 6 mm; image matrix size, 64x128; field of view, 27.5x55 mm). Images were obtained in the coronal plane. Slice-selective and non–slice-selective acquisitions were interleaved.

During the control phase of the experiment, a slice-selective inversion recovery set was acquired (recovery time, {tau}=6500 ms) at 7 inversion times (TI) (200 to 2500 ms). For 20 averages, this procedure lasted 22 minutes. The data were fitted for the parameters T1app, {alpha}0, and M0 using the standard inversion recovery relationship (where {alpha}0 is the degree of inversion and M0 represents the equilibrium magnetization per unit mass of the tissue). These parameters are required for the quantification of perfusion.

For the time-course measurements of CBF, a reduced repetition time between the averaged acquisitions was used for rapid CBF mapping (TI=1300 ms, {tau}=1500 ms). To preserve the accuracy of CBF quantification in this situation, a series of global (half-passage adiabatic) saturation pulses were applied at the start of each recovery period.22 Previous experimentation had confirmed that perfusion values obtained with this implementation of FAIR were in excellent agreement with flows obtained with the more time-consuming biexponential fitting procedure.22 During the control period and acute phases of the experiment (occlusion and approximately 1 hour after reperfusion), 30 interleaved averages for each pair of selective and nonselective images provided a time resolution for CBF measurements of 2.8 minutes. During the later period of reperfusion, the number of averages was increased in order to increase the signal-to-noise ratio of the images with a 10-minute time resolution. The control values of M0 and {alpha}0 and the longitudinal tissue relaxation time, T1, were used to obtain perfusion measurements directly from each subtraction image. Previous studies in which inversion recovery data sets were acquired at approximately half-hour intervals during the reperfusion period had demonstrated that the values of these parameters did not change during this phase at our field strength (n=2; data not shown). A value for the T1 of blood, T1a, of 1500 ms was obtained by extrapolation of published data acquired at other field strengths.

The transmitter coil inflow time, {Delta}, must be taken into account to determine CBF in the situation of an RF coil that does not provide complete coverage of the body. This defines the time subsequent to the application of the inversion pulse, after which blood spins will begin to enter the imaging slice from outside the RF transmitter coil.22 24 A value for this time was experimentally determined in a control experiment by obtaining values for the magnetisation difference while varying the recovery time. Comparison of the data with the theoretical relationship of these 2 variables enabled a value for {Delta} of 1800 ms to be estimated.22

Diffusion MRI
Measurements of the trace of the diffusion tensor, denoted trace(D), were obtained in 5 of the animals during the control period and at approximately half-hour intervals during the postreperfusion phase. The trace(D) is a rotationally invariant measure of the diffusion tensor, and a number of sequences have been devised that enable its acquisition by a single scan. The single-shot trace(D)-weighted echo-planar imaging sequence25 used in this study was implemented with the following parameters: TE=110 ms; TR=1000 ms; number of averages=30; b values=0; and 1187 s/mm2.

Image and Data Analysis
Perfusion values were calculated pixelwise by importing the data into IDL (Floating Points Systems). The relevant reduced repetition time equation for the magnetisation difference provides a nonlinear expression for the CBF. An iterative root-finding routine was used to solve the equation for flow, thus providing a CBF map from each subtraction image (selective-nonselective). Four regions of interest were drawn on these perfusion maps in the left and right hemispheres of the slice, in both the cortex and the corpus striatum. All values are presented as mean±SD. Statistical analyses of the factorial (regionxgroup) within-subjects data were performed by mixed-model regression analysis using appropriate random effects models. A value of P<0.05 was considered to indicate statistical significance.

To characterize certain features of the flow response during the acute phase of the reperfusion, a suitable random-coefficients model was fitted to the first hour of the reperfusion data. Maximum likelihood nonlinear mixed model regression was performed with use of an SAS macro (NLINMIX, supplied by R. Wolfinger, SAS Institute, Cary, NC).26 A detailed models comparison study was not performed. Instead, an exponentially damped polynomial model was adopted of the form

(2)
where f represents the flow; t is the time since the occlusion; and {alpha}, ß0, ß1, and {lambda} are random coefficients.27 This model was selected since it is economical in the number of coefficients and provides an adequate description of the zero-time and asymptotic behavior [f(0)!=f({infty})].


*    Results
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMaterials and Methods
*Results
down arrowDiscussion
down arrowReferences
down arrowIntroduction 
down arrowReferences 
 
CBF measurements were obtained with the reduced repetition time implementation of FAIR. Equation A11 in Reference 2222 was used to obtain CBF maps from each subtraction image, because the conditions {tau}<{Delta} and TI<{Delta} that define this equation were satisfied in our experiment. The mean preocclusion blood flow measurements were, in the right cerebral hemisphere, 155±27 mL/100 g/min in the cortex and 132±26 mL/100 g/min in the striatum; and in the left hemisphere, 161±25 mL/100 g/min in the cortex and 129±26 mL/100 g/min in the striatum (n=8).

Representative perfusion maps are displayed in Figure 1Down. After recirculation had been initiated, a marked variability in the response to recirculation became obviously apparent on visual inspection. Based on these observations, the responses observed in the cerebral hemispheres of each animal were assigned to 2 groups (groups A and B). The group response reflected the characterization of the reperfusion time course in each hemisphere. In each of the 8 animals, at least 1 cerebral hemisphere displayed an early transient recovery of CBF that was followed by a period of hypoperfusion. Hemispheres that showed this response were assigned to group B. In 4 of the 8 animals, a side-to-side difference became apparent and the group B hemisphere was accompanied by the observation in the contralateral hemisphere of a permanent immediate renormalization of the flow (Figure 1Down, panel a); these hemispheres were assigned to group A. Each of the 4 animals thereby provided 1 group A and 1 group B hemisphere. The other 4 animals displayed a bilateral group B response (Figure 1Down, panel b). The complete data set of 8 animals, therefore, provided 4 group A hemispheres and 12 group B hemispheres. Figure 2Down shows the time-course of the CBF values for the data sets in each of the 2 groups.



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Figure 1. Representative CBF maps obtained in 2 of the studies. (a) Animal 1 displays a unilateral group A, unilateral group B response (n=4); (b) Animal 2 follows a bilateral group B pattern (n=4). Group A describes the observation of the immediate renormalization of the flow and group B describes the recovery followed by reperfusion. Times are denoted as minutes after reperfusion. Preischemic, occlusion, +10 minutes, and +30 minutes CBF maps were acquired in 3 minutes; the +180 minutes maps were acquired in 10 minutes. A high-resolution spin-echo image of the imaging slice (1-mm slice thickness) is displayed for anatomic reference.



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Figure 2. CBF time courses in cortical and striatal regions in both groups of animals and in both cerebral hemispheres. Time=0 minutes is set at the moment of occlusion, and therefore at time=4 minutes, recirculation was initiated.

Table 1Down details the control and occlusion flows for group A and group B data. Mixed model regression analysis of the pre-occlusion data showed a significant regional (cortex versus striatum) difference (P=0.01) while the difference between the 2 groups (group A versus group B) was not significant. There was no significant regional or group differences in the flow values measured during the occlusion phase.


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Table 1. Mean Preocclusion and Occlusion Flows in the Cortex and Striatum

Time-Course CBF Data: Group A (Immediate Normalization)
This response of immediate normalization of the flow never occurred in both cerebral hemispheres of the same animal. On recirculation, the blood flow recovered to a value close to the pre-occlusion level. In order to characterize the initial recovery and the subsequent flow response, an exponentially damped polynomial was fitted to the first hour of the postreperfusion data (Equation 2Up). To test for regional differences, 2 such models were compared, one of which is a full model and consists of a separate set of coefficients for the cortical and striatal regions; the second model is a reduced model and assumes a common set of coefficients for the 2 regions. The difference between the models was not significant (log-likelihood ratio, {chi}24); the reduced, region independent model was therefore adopted. The calculated mean time-dependent behavior is shown in Figure 3Down. The level of the initial recovery on reperfusion was provided by the peak of the fitted model. A value of 146 mL/100 g/min at 11.7 minutes after reperfusion (ie, at 15.7 minutes after occlusion) was thereby obtained. This maximal flow is 8% lower and 12% higher than the preocclusion levels in the cortex and striatum, respectively. At the end of the 1-hour period, the CBF reached an asymptotic level of 126 mL/100 g/min.



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Figure 3. The exponentially damped polynomial model that was fitted to the first 60 minutes of postocclusion group A and group B responses (see "Image and Data Analysis" section). All of the data sets are shown for group A, and a selection of data sets are shown for group B that include the extreme cases. Note that in group B, there is considerable variation in the magnitude and the position of the maximal response. The maximum flow rate given by the fitted mean curve is not, therefore, equal to the mean of the independent maximal flow rates.

By 3 hours after reperfusion, the measured CBF values were 140±16 mL/100 g/min and 122±15 mL/100 g/min in the cortical and striatal regions, respectively. These values are not significantly different from the preischemic CBF measurements (paired t test).

Time-Course CBF Data: Group B (Recovery Followed by Hypoperfusion)
This response occurred in 50% of the animals as a unilateral response and in the other animals as a bilateral response; in the latter situation, regional data were averaged over the 2 cerebral hemispheres. On initiation of recirculation, the blood flow recovered and, at approximately 5 minutes of reflow, reached a maximal level. A period of hypoperfusion then followed. An exponentially damped polynomial was fitted to the first hour of the postreperfusion data (Equation 2Up). The likelihood ratio test comparing a full, region-dependent coefficients model with the restricted common coefficients model was not significant. Therefore, a common coefficients model was chosen to provide an adequate description of the data. The maximal level of the initial recovery on reperfusion was provided by the peak of the fitted model (Figure 3Up). A value of 80 mL/100 g/min at 4.9 minutes after reperfusion (ie, 8.9 minutes after occlusion) was thereby obtained. This flow is 49% lower and 38% lower than the mean preocclusion levels in the cortex and striatum respectively and, therefore, the mean response is not suggestive of a period of true reactive hyperemia. The calculated mean flow subsequently dropped to an asymptotic level during this 60-minute period of 13 mL/100 g/min.

At approximately 60 minutes after reperfusion, the blood flow began to recover slowly. The mean slope of the recovery obtained by linear regression of data collected from 1 hour after reperfusion until the end of the experiment was significantly different from zero with values of 9.8±2.6 (mL/100 g/min)/h and 9.4±4.6 (mL/100 g/min)/h in the cortical and the striatal regions (P<=0.0002). By 3 hours after reperfusion, the CBF had reached a level of 35±9 mL/100 g/min and 37±14 mL/100 g/min in the cortex and striatum, respectively.

Diffusion Trace(D) Data: Group A (Immediate Normalization)
Trace(D) measurements were obtained in 5 animals, 2 of which displayed a side-to-side asymmetry on recirculation. No occlusion data were acquired. The postreperfusion trace(D) values in the cerebral hemispheres which displayed a group A response, were very similar to the preischemic values and remained at a relatively constant level. However, a statistical comparison could not be performed due to the limited number of observations.

Diffusion Trace(D) Data: Group B (Recovery Followed by Hypoperfusion)
Figure 4Down displays the temporal profiles of the trace(D) data for this response. The 5 animals displayed the group B response in one or both hemispheres. Linear regression of the postreperfusion trace(D) values with time in each animal indicated a generally decreasing trend. In the cortex, 4 of the 5 data sets exhibited a negative slope, but the average slope was not significantly different from zero (mean slope=-1.4±3.2x10-7 [mm2/s] min-1). In the striatal region, a negative linear trend was obtained in all of the data sets, and the average slope was significantly different from zero (mean slope=-3.0±2.4x10-7[mm2/s] min-1; P=0.05). The values predicted by the regression lines of the trace(D) at the time of the first postreperfusion measurement (35 minutes) were 0.75±0.06 and 0.79±0.04 (x10-3) mm2/s in the 2 regions. These values are not statistically different from the preocclusion level (paired t test). The regression slopes were used to obtain the mean change in the trace(D) values during the observation period, denoted {Delta}35–180. The values of {Delta}35–180 were -0.021±0.019 (2.7% of control level) and -0.043±0.04 (x10-3) mm2/s (5.7%) in the cortical and striatal regions, respectively.



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Figure 4. Temporal evolution of the measurements of the trace(D) in both cortical and striatal regions for the group B response. The data are averaged over the same regions in both hemispheres if a bilateral group B response was observed. Trace(D) data were acquired in 5 animals.


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMaterials and Methods
up arrowResults
*Discussion
down arrowReferences
down arrowIntroduction 
down arrowReferences 
 
The principal findings of this investigation were the demonstration of the benefits of using rapid FAIR imaging in a time-course study of perfusion, the observation of the 2 flow patterns of reflow, and the regional trends in the diffusion coefficient.

A time-efficient implementation of FAIR was used in this investigation to follow accurately the changes in the blood flow with a time resolution of 2.8 minutes. This method has offered significant advantages over invasive techniques of perfusion measurement that do not permit longitudinal studies in the same animal. In its current implementation, single-slice acquisitions were used. The FAIR technique can, however, be extended to multiple-slice implementations, although certain issues relating to the quantification become problematic.24 The serial measurements of flow have enabled distinct discrimination of the 2 group responses to reperfusion. The increased power of the statistical analysis of longitudinal data used in this study has facilitated this differentiation and has permitted examination of possible regional differences in the response. It has also been possible to take into account the interanimal variability within the 2 patterns of reflow. Moreover, the changing flows have been mapped with a higher temporal resolution than offered by other techniques that provide serial, quantitative flow measurements. Because the immediate recovery and subsequent decrease in CBF on reperfusion occur over approximately 15 minutes, the acute phase of recirculation may be difficult to characterize with these other techniques.

The mean global preocclusion CBF value obtained with FAIR was 144±21 mL/100 g/min. This control flow is in general agreement with figures quoted in previous work with gerbil models.10 28 29 30 On reperfusion, the initial return, in all cases, of the CBF to values close to the preocclusion level precludes the presence of a general no-reflow phenomenon. There was no indication of any immediate focal impairments in CBF on reperfusion even in the striatum, which has been shown to be one of the subcortical regions that is susceptible to no-reflow.8 9

The immediate and permanent recovery of perfusion that was observed unilaterally in a number of animals (group A response) was unexpected. On 4 occasions, at the conclusion of the experiment, the animal was removed from the magnet and the snares were examined. The pulsation of the arterial flow proximal and distal to the snares was checked for consistency. At the end of every study, a postmortem examination was carried out to verify that the snares were fully open and that the external diameter of sections of the carotid arteries proximal and distal to the snares was constant. No evidence of an unsuccessful occlusion or reperfusion was thereby found. It has been noted31 that there is a variability in the number and the size of the small communicating blood vessels between the vertebrobasilar and the carotid circulations in the gerbil. The degree of collateral circulation that originates from the unoccluded vertebral supply might therefore be the cause of the observed side-to-side asymmetry on reperfusion. Previous studies32 have noted the side-to-side variations in the vasculature of the circle of Willis in gerbils.

The postischemic impairment in reflow that was observed in this study (group B response) followed the pattern of an initial recovery of flow, a delayed period of hypoperfusion, and then a slow recovery in the direction of the preocclusion level. The diffusion trace(D) measurements after reperfusion suggested a decreasing trend with time. However, further work is required to confirm this diffusion response with more animals. The diffusion coefficient and the longitudinal relaxation time, T1, are sensitive to temperature33 34 but the nonselective, T1-weighted FAIR data provided no evidence of temperature-related changes. The decreasing trend in the trace(D) values may reflect a process of progressive cell swelling during the phase of hypoperfusion. This trend was especially apparent in the striatal regions, which suggests a regional difference in susceptibility to injury. A similar regional pattern was observed in a recent study of hypoxia-ischemia in the rat.35 The magnitude of the decline in the trace(D) values observed in the striatum was substantially smaller than the change typically observed during acute ischemia. This observation is consistent with the CBF remaining close to the flow threshold for diffusion changes. Our laboratory has demonstrated the existence of a flow threshold of approximately 20 mL/100 g/min in the gerbil.19 These findings suggest that further work must be performed to elucidate whether the regional ADC change during the hypoperfusion period contributes to any long-term, deleterious effects of recirculation. In previous studies of the ADC changes that occur after reperfusion, several distinct responses have been observed, including immediate normalization36 and a delayed decline related to secondary energy failure.37

The CBF during the period of delayed hypoperfusion (group B response) dropped to an unexpectedly low level based on previous similar studies. It has been suggested that, paradoxically, shorter periods of ischemia result in a more pronounced degree of postischemic hypoperfusion.1 For example, 30 minutes of total forebrain ischemia in the gerbil resulted in a delayed drop in flow that represented approximately 40% of the control level (hydrogen clearance technique for CBF measurement),38 while after 5 minutes of ischemia in a similar gerbil model, the CBF fell to a value that was approximately 15% of the preocclusion flow (autoradiography technique).39 This relationship between the duration of the period of ischemia and the severity of hypoperfusion has however, not been verified in a single study.

It is also probable that the flow is being underestimated by the FAIR measurement during the period of compromised perfusion. The first postreperfusion measurement of the diffusion coefficient displayed no significant change, and this indicates that the level of flow is above the threshold for diffusion changes.19 The underlying cause of the inaccuracy in the flow measurement is the effect of the reduction in the blood flow on the validity of certain assumptions of the FAIR model. The reduced blood flow will increase the significance of the transit time, {delta}, during which blood originating from within the inversion slab will move into the imaging slice.40 This duration exists as a result of the increased width of the selective inversion slice relative to the imaging slice, which is necessary to eliminate effects from imperfect edges of the inversion and the imaging pulse profiles. The effects of {delta} are not normally considered when analyzing FAIR data, because this time is expected to be insignificant for normal levels of flow. However, the impairment of flow during the period of hypoperfusion will increase the transit and inflow times. If these increased times are not taken into account in the FAIR quantification model, the technique will provide underestimated flow values. The sensitivity of the flow measurements to a changing transit time or inflow times can be theoretically determined. For example, with our combination of parameters and for a real flow of 20 mL/100 g/min, the transit and inflow times would both need to rise by approximately 300 ms to induce an underestimation in the measured flow value of 5 mL/100 g/min. Improved inversion and imaging slice profiles are being investigated in our laboratory with a view to reducing the effect of the transit time on the quantification.

In conclusion, we have demonstrated the use of noninvasive FAIR perfusion imaging in following regional CBF changes with a high time resolution in a longitudinal study of reperfusion. On initiation of recirculation after 4 minutes of total forebrain ischemia, the blood flow in the cerebral hemispheres either returned to the preocclusion level or displayed a pattern of initial recovery followed by hypoperfusion. The combined measurements of CBF and the diffusion trace suggest a period during the reperfusion phase when intervention may be necessary to ameliorate recovery. The ability to follow and characterize a time course of events with quantitative mapping of cerebral perfusion has obvious potential in the investigation of stroke.

Received December 8, 1998; revision received February 16, 1999; accepted March 26, 1999.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMaterials and Methods
up arrowResults
up arrowDiscussion
*References
down arrowIntroduction 
down arrowReferences 
 

  1. Hossmann KA. Post-ischemic resuscitation of the brain: selective vulnerability versus global resistance. Prog Brain Res. 1985;63:3–17.[Medline] [Order article via Infotrieve]
  2. Hossmann KA, Mies G, Paschen W, Csiba L, Bodsch W, Rapin JR, Le Poncin-Lafitte M, Takahashi K. Multiparametric imaging of blood flow and metabolism after middle cerebral artery occlusion in cats. J Cereb Blood Flow Metab. 1985;5:97–107.[Medline] [Order article via Infotrieve]
  3. Michenfelder JD, Milde JH, Katusic ZS. Postischemic canine cerebral blood flow is coupled to cerebral canine metabolic rate. J Cereb Blood Flow Metab. 1991;11:611–616.[Medline] [Order article via Infotrieve]
  4. Crumrine RC, LaManna JC. Regional cerebral metabolites, blood flow, plasma volume, and mean transit time in total cerebral ischemia in the rat. J Cereb Blood Flow Metab. 1991;11:272–282.[Medline] [Order article via Infotrieve]
  5. Beckstead JE, Tweed WA, Lee J, MacKeen WL. Cerebral blood flow and metabolism in man following cardiac arrest. Stroke. 1978;9:569–573.[Abstract/Free Full Text]
  6. Fujioka M, Okuchi K, Miyamoto S, Sakaki T, Hiramatsu K, Tominaga M, Kamada Y, Iwasaki S. Changes in the basal ganglia and thalamus following reperfusion after complete ischaemia. Neuroradiology. 1994;36:605–607.[Medline] [Order article via Infotrieve]
  7. Ames A III, Wright RL, Kowada M, Thurston JM, Majno G. Cerebral ischemia, II: the no-reflow phenomenon. Am J Pathol. 1968;52:437–453.[Medline] [Order article via Infotrieve]
  8. Kågström E, Smith ML, Siesjö BK. Local cerebral blood flow in the recovery period following complete cerebral ischemia in the rat. J Cereb Blood Flow Metab. 1983;3:170–182.[Medline] [Order article via Infotrieve]
  9. Kågström E, Smith ML, Siesjö BK. Recirculation in the brain following incomplete ischemia in the rat. J Cereb Blood Flow Metab. 1983;3:183–192.[Medline] [Order article via Infotrieve]
  10. Suzuki R, Yamaguchi T, Kirino T, Orzi F, Klatzo I. The effects of 5-minute ischemia in Mongolian gerbils, I: blood-brain barrier, cerebral blood flow, and local cerebral glucose utilization changes. Acta Neuropathol (Berl). 1983;60:207–216.[Medline] [Order article via Infotrieve]
  11. van Uitert RL, Levy DE. Regional blood flow in the conscious gerbil. Stroke. 1978;9:67–72.[Abstract/Free Full Text]
  12. Todd NV, Picozzi P, Crockard HA, Russell RR. Reperfusion after cerebral ischemia: influence of duration of ischemia. Stroke. 1986;17:460–466.[Abstract/Free Full Text]
  13. Nemoto EM, Hossmann KA, Cooper HK. Post-ischemic hypermetabolism in cat brain. Stroke. 1981;12:666–676.[Abstract/Free Full Text]
  14. Kloiber O, Miyazawa T, Hoen-Berlage M, Hossmann KA. Simultaneous 31P NMR spectroscopy and laser Doppler flowmetry of rat brain during global ischemia and reperfusion. NMR Biomed. 1993;6:144–152.[Medline] [Order article via Infotrieve]
  15. Rottenberg DA, Lu HC, Kearfott KJ. The in vivo autoradiographic measurement of regional cerebral blood flow using stable xenon and computerized tomography: the effect of tissue heterogeneity and computerized tomography noise. J Cereb Blood Flow Metab. 1982;2:173–178.[Medline] [Order article via Infotrieve]
  16. Detre JA, Leigh JS, Williams DS, Koretsky AP. Perfusion imaging. Magn Reson Med. 1992;23:37–45.[Medline] [Order article via Infotrieve]
  17. Kim SG. Quantification of relative cerebral blood-flow change by flow-sensitive alternating inversion-recovery (FAIR) technique: application to functional mapping. Magn Reson Med. 1995;34:293–301.[Medline] [Order article via Infotrieve]
  18. Moseley ME, Cohen Y, Mintorovitch J, Chileuitt L, Shimizu H, Kucharczyk J, Wendland MF, Weinstein PR. Early detection of regional cerebral ischemia in cats: comparison of diffusion- and T2-weighted MRI and spectroscopy. Magn Reson Med. 1990;14:330–346.[Medline] [Order article via Infotrieve]
  19. Busza AL, Allen KL, King MD, van Bruggen N, Williams SR, Gadian DG. Diffusion-weighted imaging studies of cerebral ischemia in gerbils: potential relevance to energy failure. Stroke. 1992;23:1602–1612.[Abstract/Free Full Text]
  20. Verheul HB, Balasz R, Berkelbach van der Sprenkel JW, Tamminga KS, Nicolay K, Tulleken CAF. Comparison of diffusion-weighted MRI with changes in cell volume in a rat model of brain injury. NMR Biomed. 1994;7:96–100.[Medline] [Order article via Infotrieve]
  21. Allen KL, Busza AL, Proctor E, King MD, Williams SR, Crockard, HA, Gadian DG. Controllable graded cerebral ischaemia in the gerbil: studies of cerebral blood flow and energy metabolism by hydrogen clearance and 31P NMR spectroscopy. NMR Biomed. 1993;6:181–186.[Medline] [Order article via Infotrieve]
  22. Pell GS, Thomas DL, Lythgoe MF, Calamante F, Howseman AM, Gadian DG, Ordidge RJ. The implementation of quantitative FAIR perfusion imaging with a short repetition time in time-course studies. Magn Reson Med. 1999;41:829–840.[Medline] [Order article via Infotrieve]
  23. Ordidge RJ, Wylezinska M, Hugg JW, Butterworth E, Franconi F. Frequency offset corrected inversion (FOCI) pulses for use in localised spectroscopy. Magn Reson Med. 1996;36:562–566.[Medline] [Order article via Infotrieve]
  24. Kim SG, Tsekos NV, Ashe J. Multi-slice perfusion-based functional MRI using the FAIR technique: comparison of CBF and BOLD effects. NMR Biomed. 1997;10:191–196.[Medline] [Order article via Infotrieve]
  25. Wong EC, Cox RW, Song AW. Optimized isotropic diffusion weighting. Magn Reson Med. 1995;34:139–143.[Medline] [Order article via Infotrieve]
  26. Littell RC, Milliken GA, Stroup WW, Wolfinger RD. SAS system for mixed models. Cary, NC: SAS Institute Inc; 1996.
  27. Crowder MJ, Tredger JA. The use of exponentially damped polynomials for biological recovery data. Appl Statistics. 1981;30:147–152.
  28. Levy DE, van Uitert RL, Pike CL. Delayed post-ischemic hypoperfusion: a potentially damaging consequence of stroke. Neurology. 1979;29:1245–1252.
  29. Tomida S, Wagner HG, Klatzo I, Nowak TS. Effect of acute electrode placement on regional CBF in the gerbil: a comparison of blood flow measured by hydrogen clearance, [3H]-nicotine, and [14C]-iodoantipyrine techniques. J Cereb Blood Flow Metab. 1989;9:79–86.[Medline] [Order article via Infotrieve]
  30. Verhaegen MJ, Todd MM, Warner DS, James B, Weeks JB. The role of electrode size on the incidence of spreading depression and on cortical cerebral blood-flow as measured by H2 clearance. J Cereb Blood Flow Metab. 1992;12:230–237.[Medline] [Order article via Infotrieve]
  31. Levy DE, Brierly JB. Communications between vertebro-basilar and carotid arterial circulations in the gerbil. Exp Neurol. 1974;45:503–508.[Medline] [Order article via Infotrieve]
  32. Tamura A, Horizoe H, Fukada T. Relationship of cerebral vasculature to infarcted areas following unilateral common carotid artery ligation in the Mongolian gerbils. J Cereb Flow Metab. 1981;1(suppl 1):S194–S195.
  33. Le Bihan D. Temperature imaging by NMR. In: Le Bihan D, ed. Diffusion and Perfusion Magnetic Resonance Imaging: Applications to Functional MRI. New York, NY: Raven Press; 1995:181–187.
  34. Parker DL, Smith V, Sheldon P, Crooks LE, Fussel L. Temperature distribution measurements in two-dimensional NMR imaging. Med Phys. 1983;10:321–325.[Medline] [Order article via Infotrieve]
  35. Dijkhuizen RM, Knollema S, van der Worp HB, Horst GJT, De Wildt DJ, van der Sprenkel JWB, Tulleken KAF, Nicolay K. Dynamics of cerebral tissue injury and perfusion after temporary hypoxia-ischemia in the rat. Stroke. 1998;29:695–704.[Abstract/Free Full Text]
  36. Fischer M, Bockhorst K, Hoehn-Berlage M, Schmitz B, Hossmann KA. Imaging of the apparent diffusion coefficient for the evaluation of cerebral metabolic recovery after cardiac arrest. Magn Reson Imaging. 1995;13:781–790.[Medline] [Order article via Infotrieve]
  37. Thornton JS, Ordidge RJ, Penrice J, Cady EB, Amess PN, Punwani S, Clemence M, Wyatt JS. Temporal and anatomical variations of brain water apparent diffusion coefficient in perinatal cerebral hypoxic-ischemic injury: relationships to cerebral energy metabolism. Magn Reson Med. 1998;39:920–927.[Medline] [Order article via Infotrieve]
  38. Almeida A, Allen KL, Bates TE, Clark JB. Effect of reperfusion following cerebral ischaemia on the activity of the mitochondrial respiratory chain in the gerbil brain. J Neurochem. 1995;65:1698–1703.[Medline] [Order article via Infotrieve]
  39. Tomida S, Nowak TS, Vass K, Lohr JM, Klatzo I. Experimental model for repetitive ischemic attacks in the gerbil: the cumulative effect of repeated ischemic insults. J Cereb Blood Flow Metab. 1987;7:773–782.[Medline] [Order article via Infotrieve]
  40. Calamante F, Williams SR, van Bruggen N, Kwong KK, Turner R. A model for quantification of perfusion in pulsed labeling techniques. NMR Biomed. 1996;9:79–83.[Medline] [Order article via Infotrieve]

Editorial Comment

Gary A. Rosenberg, MD, Guest Editor

Department of Neurology, University of New Mexico School of Medicine, Albuquerque, New Mexico


*    Introduction 
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMaterials and Methods
up arrowResults
up arrowDiscussion
up arrowReferences
*Introduction 
down arrowReferences 
 
Measurement of cerebral blood flow noninvasively has been an elusive goal since Kety and Schmidt1 first measured blood flow. In this article the authors describe the flow-sensitive alternating inversion recovery (FAIR) method that spin-labels flowing blood and follows it through a tissue region.2 With the aid of computer algorithms, they have shortened the acquisition times, making flow maps in several minutes. Technical requirements are still daunting. Echo-planar instruments and specially designed pulse sequences are required. However, as with other MR methods, clinical applications should follow.

Diffusion-weighted imaging (DWI) shows the state of water in tissue.3 When cells are swollen, reducing the extracellular space, the diffusion coefficient falls. Because the changes in diffusion are highly sensitive and very rapid, the diffusion imaging has shown early development of edema after an ischemic event.4 The present report combines the DWI with FAIR and provides a unique view of the relationship of flow to diffusion constants.

Using the well-established gerbil model of ischemia, they occluded the carotids for 4 minutes within the magnet.5 Several patterns of flow occurred after the release of the occlusions. Some animals had no change in flow, while others showed hyperemia followed by decreased flow ("no-reflow").6 Variability was seen in the flow patterns between hemispheres in the same animal. To overcome the variability, hemispheres were grouped according to flow rather than by animal. The data showed that the poorly perfused hemispheres had a slight fall in diffusion coefficients rather than the expected significant change. They suggest that the lack of correlation is due to an underestimation of true values when flow is impaired. The strength of this report lies in the methodology rather than in new physiological data. In fact, more work will be needed to clarify the potential errors in the measurements.

Characterization of the state of the tissue after a stroke is critical for the use of thrombolytics and fibrolytics that have entered clinical use. Selecting patients that have potentially salvageable brain tissue and do not have an increased risk for hemorrhage is a major challenge.7 8 Quantification of blood flow, measurements of diffusion constants, and biochemical measurements with spectroscopy provide a 3-dimensional view.9 Speeding up the acquisition of MR data will add a time dimension. This report adds another step in the rapid advance in MR methods. It should provide information about tissue viability that will guide therapies.

Received December 8, 1998; revision received February 16, 1999; accepted March 26, 1999.


*    References 
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMaterials and Methods
up arrowResults
up arrowDiscussion
up arrowReferences
up arrowIntroduction 
*References 
 

  1. Kety SS, Schmidt CF. The nitrous oxide method for the quantitative determination of cerebral blood flow in man: theory, procedure and normal values. J Clin Invest. 1948;27:476–483.
  2. Kim SG. Quantification of relative cerebral blood-flow change by flow-sensitive alternating inversion-recovery (FAIR) technique: application to functional mapping. Magn Reson Med. 1995;34:293–301.
  3. Moseley ME, Cohen Y, Mintorovitch J, Chileuitt L, Shimizu H, Kucharczyk J, Wendland MF, Weinstein PR. Early detection of regional cerebral ischemia in cats: comparison of diffusion- and T2-weighted MRI and spectroscopy. Magn Reson Med. 1990;14:330–346.
  4. Warach S, Chien D, Li W, Ronthal M, Edelman RR. Fast magnetic resonance diffusion-weighted imaging of acute human stroke. Neurology. 1992;42:1717–1723.[Abstract/Free Full Text]
  5. Suzuki R, Yamaguchi T, Kirino T, Orzi F, Klatzo I. The effects of 5-minute ischemia in Mongolian gerbils, I: blood-brain barrier, cerebral blood flow, and local cerebral glucose utilization changes. Acta Neuropathol (Berl). 1983;60:207–216.
  6. Ames A III, Wright RL, Kowada M, Thurston JM, Majno G. Cerebral ischemia, II: the no-reflow phenomenon. Am J Pathol. 1968;52:437–453.
  7. The Ancrod Stroke Study Investigators. Ancrod for the treatment of acute ischemic brain infarction. Stroke. 1994;25:1755–1759.[Abstract]
  8. The National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group. Tissue plasminogen activator for acute ischemic stroke. [see comments]. N Engl J Med. 1995;333:1581–1587.[Abstract/Free Full Text]
  9. Ford CC, Griffey RH, Matwiyoff NA, Rosenberg GA. Multivoxel 1H-MRS of stroke. Neurology. 1992;42:1408–1412.[Abstract/Free Full Text]




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