(Stroke. 1996;27:1835-1839.)
© 1996 American Heart Association, Inc.
Articles |
the Service de Pharmacologie Clinique, Hopital de Bicetre, Le Kremlin-Bicetre (P.D., J.-F. G.), and Explorations Fonctionnelles du Systeme Nerveux, IFR "Circulation Lariboisiere," Hopital Lariboisiere, Paris (Y.R.T.D.), France.
Correspondence to Professeur Jean-Francois Giudicelli, Service de Pharmacologie Clinique, Hopital de Bicetre, 78, rue du General Leclerc, 94275, Le Kremlin-Bicetre Cedex, France.
| Abstract |
|---|
|
|
|---|
Methods The middle cerebral artery mean blood flow velocity (MV) measured by TCD and the corresponding regional and hemispheric cerebral blood flows assessed with 133Xe single-photon emission CT were measured in 52 unselected patients. Absolute values of flow and velocity before and after stimulation and their reactivity to acetazolamide were compared. When the correlation was statistically significant, the linearity of the relationship was tested.
Results Absolute values of hemispheric cerebral blood flow were correlated with MV both before (r=.315, P=.02) and after acetazolamide (r=.436, P=.001), whereas regional cerebral blood flow was correlated with MV only after acetazolamide (before, r=.262, P=.06; after, r=.446, P=.001). All these relationships fitted a linear model. In contrast, there was no correlation between acetazolamide-induced relative increments of flow and velocity.
Conclusions Our results support a linear model describing the relationship between absolute values of flow and velocity when arterial section is the slope and anastomotic blood flow is the intercept. In contrast, relative increments in volumetric flow and velocity may be proportional only if anastomotic flow is negligible, ie, in subjects without cerebrovascular disease. We conclude that, for patients with cerebrovascular disease, TCD does not satisfactorily model cerebral vasoreactivity in terms of volumetric cerebral blood flow.
Key Words: acetazolamide cerebral blood flow computed tomography ultrasonics vasomotor reactivity
| Introduction |
|---|
|
|
|---|
Comparison of TCD with reference methods has been undertaken under various conditions in both animal models and healthy volunteers as well as in cerebrovascular patients. Discrepancy between volumetric blood flow and blood velocity measurements may be explained by the experimental conditions. We thus investigated the mathematical nature of the relationships between flow velocity and volumetric flow and between their respective variations in response to cerebral vasoreactivity tests. To this end, we measured rCBF and hCBF (133Xe tomoscintigraphy) and MV in the MCA (TCD) as well as their variations observed during an ACZ-induced vasodilation.
| Subjects and Methods |
|---|
|
|
|---|
The characteristics of the population and the indications for the ACZ test are presented in Table 1
. All subjects were free of vasoactive medication and had a temporal window suitable for TCD examination. Subjects with bilateral high-grade stenosis of the MCA or internal carotid artery were excluded because the results could have been perturbed by turbulent flows.
|
Parameters Investigated
Blood pressure and heart rate were measured with a sphygmomanometer by the acoustic method with patients at rest in the supine position.
PETCO2 was measured with an infrared analyzer (Sirecust, Siemens).17
We measured MCA MV using the pulsed TCD technique (Medasonics Transpect, 2 MHz, Mediag), as previously described.18 The Doppler probe was fixed over the temple with a special headset. Depth of focus was increased until bidirectional flow appeared (bifurcation of the internal carotid artery). It was then progressively decreased until an exclusively positive signal, typical of the MCA, was obtained and until this signal reached its maximum value. MV was recorded over an 8-second period, with the patient at rest in the supine position, without any acoustic or visual distraction. For these MV measurements, within-investigator variability was 3% and between-investigator variability 6%.18 In patients with unilateral or predominantly unilateral carotid or MCA lesions, the contralateral side was chosen for examination. In the other patients, the side of examination was randomized.
CBF was investigated with a dedicated SPECT (TOMOMATIC 64, Medimatic) with a spatial resolution of 1.7 cm. Measurements were made with the subject supine with closed eyes, without any acoustic or visual distraction. The patient's head was oriented so that three 2-cm-thick slices, located 1, 5, and 9 cm above the orbitomeatal line, were scanned. The principles of the technique and the methods of calculating CBF have been described elsewhere.19 20 133Xe (10 mL of a solution containing 60 mCi, 2200 mBq) was injected intravenously over a 1-minute period followed by 10 mL of physiological saline. CBF values are expressed in milliliters per minute per 100 g. For each region of interest, a computer program (head independent region of interest software, Medimatic) made automatic adjustments for the size of each brain and calculated flow values for each zone. The rCBF of the MCA territory and the ipsilateral hCBF were calculated on slice 2.
Study Protocol
After the measurements of blood pressure and heart rate, a catheter was inserted into a forearm vein for xenon and ACZ injections. In a first sequence, before ACZ injection, patients underwent a SPECT determination of CBF (CBF1), which lasted 5 minutes. PETCO2 was then measured, and a TCD determination (MV1) was immediately performed. ACZ (1 g dissolved in 20 mL of saline) was then injected over a period of 5 minutes.
After a 20-minute rest, a second sequence was performed in which blood pressure, heart rate, CBF2, PETCO22, and MV2 were determined.
The relative increments of rCBF and hCBF (
CBF) were calculated in each patient as
CBF=100(CBF2-CBF1)/CBF1; the relative increments of MV (
MV) were calculated as
MV=100(MV2-MV1)/MV1.
Statistical Analysis
Results are expressed as mean±SD. Data obtained before and after ACZ were compared with paired Student's t test.
Correlations between parameters were tested with the least-squares method. When two parameters are significantly correlated, a hypothesis of no association between these two parameters can reasonably be rejected. When the correlation was statistically significant (P<.05), we distributed MV values into classes of n±1 cm·s-1 (n being an odd number) and performed a test of variance ratio21 to determine whether a linear relationship could be refuted. This test was a one-way ANOVA. F is the variance of the deviation from the line (degree of freedom is the number of classes minus two) divided by the residual variance (degree of freedom is the number of points minus the number of classes). A significant F value indicates that a linear relationship can be refuted. With a nonsignificant F value, we considered the linear hypothesis to be acceptable and calculated the equation of the line (with the confidence intervals of slope and intercept).
| Results |
|---|
|
|
|---|
|
|
ACZ administration did not significantly affect blood pressure or heart rate but induced the usual decrease in PETCO2 (Table 3
). rCBF, hCBF, and MV significantly increased by a mean of 39%, 40%, and 41%, respectively (Table 3
).
|
After ACZ the absolute values of rCBF and hCBF were correlated with the absolute values of MV (Fig 1
, Table 2
).
In contrast, there was no correlation between the relative increments in rCBF and hCBF on the one hand and those in MV on the other (Fig 2
, Table 4
).
|
|
For all significant correlations, the linearity tests led us to not refute a linear relationship and to calculate the equation of the line (Table 2
).
| Discussion |
|---|
|
|
|---|
|
Our results are apparently paradoxical: absolute values of velocities and flows were related before (except for rCBF and MV, P=.06) and after ACZ, but although their relative increments were similar in magnitude (mean of
40%), they were not correlated despite a large sample size (52 patients). This lack of correlation is in contrast with the high levels of significance obtained when absolute values of flows and velocities are compared. This suggests that inaccuracy of the techniques used or inadequate power of the statistical analysis cannot account for such a result.
In our study, in the three situations in which correlations between absolute values of flows and velocities were statistically significant, we tested the linearity of the relationship and found no reason to reject the linear hypothesis (Table 2
). The relationship between CBF and MV can thus be described according to a linear model
![]() |
If we further analyze the model from a theoretical point of view, it is evident that rCBF is related to MV in the main arterial vessel of the region and to the vessel section (S), given the equation
![]() |
|
Transposed into the above equation and applied to rCBF and MV, these relations give
![]() | (E1) |
If we accept these hypotheses, ACZ-induced MCA vasodilation may explain the increase in the slope after ACZ, keeping in mind that the difference between the slopes was not statistically significant.
More interestingly, if rCBF1 is related to MV1 (y1=a1+b1x1) and rCBF2 to MV2 (y2=a2+b2x2), it appears that
![]() | (E2) |
![]() | (E3) |
In contrast, if anBF does exist, the relative increments of rCBF and of CBF velocities should no longer be linearly related. This would occur when the theoretical and the actual vascular beds of a cerebral artery significantly differ. Since cerebral atherosclerosis and ischemia can induce changes in capillary perfusion heterogeneity,24 leading to functional cortico-cortical anastomoses, one major cerebral artery may then supply a territory adjoining its theoretical vascular bed.
A similar theoretical demonstration applied to hCBF leads to identical results. By analogy with Equation 1, hCBF is the sum of (1) the flow in the MCA (S·MV) and (2) additional flows in other arteries supplying the entire hemisphere (adBF):
![]() | (E4) |
The theoretical demonstration used here for the relative increments of CBF and MV induced by ACZ can also be applied to other maneuvers such as hypercapnia or hypocapnia. Indeed, a thorough analysis of the literature (Table 5
) shows that the two studies that did not establish a significant correlation between quantitative variations of similar parameters were performed in patients with cerebrovascular disease,15 16 as was our investigation. Other studies performed in cerebrovascular patients either demonstrated a positive correlation but did not test linearity3 6 14 (quantitative agreement studies could have led to different results) or established a qualitative agreement9 11 or an agreement between TCD reactivity and a mean transit time.14 In all other studies (without cerebrovascular disease), a significant correlation was established without any linearity test.
In conclusion, CBF reactivity in patients with cerebrovascular disease must be assessed by a volumetric blood flow measurement approach. Measurement of blood velocity by the TCD technique investigates a different reactivity that is at least qualitatively9 11 or sometimes quantitatively3 6 related to CBF reactivity, but the relationship between the two estimations of cerebrovascular reactivity is unlikely to be linear. Hence, data on cerebrovascular reactivity obtained with the TCD technique in cerebrovascular patients should not be considered representative of quantitative volumetric flow reactivity. In healthy subjects or in patients with no significant cerebrovascular disease, further studies are needed to confirm whether (as seems likely) the two approaches do provide equivalent results.
| Selected Abbreviations and Acronyms |
|---|
|
| Acknowledgments |
|---|
Received March 5, 1996; revision received June 20, 1996; accepted June 24, 1996.
| References |
|---|
|
|
|---|
2.
Kontos HA. Validity of cerebral arterial blood flow calculations from velocity measurements. Stroke. 1989;20:1-3.
3.
Bishop CCR, Powel S, Rutt D, Browse L. Transcranial Doppler measurement of middle cerebral artery blood flow velocity: a validation study. Stroke. 1986;17:913-915.
4.
Lindegaard KF, Lundar T, Wiberg J, Sjøberg D, Aaslid R, Nornes H. Variations in middle cerebral artery flow investigated with noninvasive transcranial blood velocity measurements. Stroke. 1987;18:1025-1030.
5. Martin CG, Hansen TN, Goddard-Finegold J, LeBlanc A, Giesler ME, Smith S. Prediction of brain blood flow using pulsed Doppler ultrasonography in newborn lambs. J Clin Ultrasound. 1990;18:487-495.[Medline] [Order article via Infotrieve]
6.
Piepgras A, Schmiedek P, Leinsinger G, Haberl RL, Kirsch CM, Einhaupl KM. A simple test to assess cerebrovascular reserve capacity using transcranial Doppler sonography and acetazolamide. Stroke. 1990;21:1306-1311.
7. Van der Linden J, Wesslen O, Ekroth R, Tyden H, von Ahn H. Transcranial Doppler-estimated versus thermodilution-estimated cerebral blood flow during cardiac operations: influence of temperature and arterial carbon dioxide tension. J Thorac Cardiovasc Surg. 1991;102:95-102.[Abstract]
8.
Jørgensen LG, Perko M, Hanel B, Schroeder TV, Secher NH. Middle cerebral artery flow velocity and blood flow during exercise and muscle ischemia in humans. J Appl Physiol. 1992;73:1825-1830.
9.
Dahl A, Lindegaard KF, Russell D, Nyberg-Hansen R, Rootwelt K, Sorteberg W, Nornes H. A comparison of transcranial Doppler and cerebral blood flow studies to assess cerebral vasoreactivity. Stroke. 1992;23:15-19.
10. Dahl A, Russell D, Nyberg-Hansen R, Rootwelt K. A comparison of regional cerebral and middle cerebral artery blood flow velocities: simultaneous measurements in healthy subjects. J Cereb Blood Flow Metab. 1992;12:1049-1054.[Medline] [Order article via Infotrieve]
11. Dahl A, Russell D, Nyberg-Hansen R, Rootwelt K, Bakke SJ. Cerebral vasoreactivity in unilateral carotid artery disease: a comparison of blood flow velocity and regional cerebral blood flow measurements. Stroke. 1994;25:621-626.[Abstract]
12. Larsen FS, Olsen KS, Hansen BA, Paulson OB, Knudsen GM. Transcranial Doppler is valid for determination of the lower limit of cerebral blood flow autoregulation. Stroke. 1994;25:1985-1988.[Abstract]
13. Ulrich PT, Becker T, Kempski OS. Correlation of cerebral blood flow and MCA flow velocity measured in healthy volunteers during acetazolamide and CO2 stimulation. J Neurol Sci. 1995;129:120-130.[Medline] [Order article via Infotrieve]
14.
Sugimori H, Ibayashi S, Fujii K, Sadoshima S, Kuwabara Y, Fujishima M. Can transcranial Doppler really detect reduced cerebral perfusion states? Stroke. 1995;26:2053-2060.
15. Romner B, Brandt L, Berntman L, Algottson L, Ljunggren B, Messeter K. Simultaneous transcranial Doppler sonography and cerebral blood flow measurements of cerebrovascular CO2-reactivity in patients with aneurysmal subarachnoid haemorrhage. Br J Neurosurg. 1991;5:31-37.[Medline] [Order article via Infotrieve]
16.
Vorstrup S, Zbornikova V, Sj
holm H, Skoglund L, Ryding E. CBF and transcranial Doppler sonography during vasodilatory stress tests in patients with common carotid artery occlusion. Neurol Res. 1992;14:31-38.[Medline]
[Order article via Infotrieve]
17.
Burki NK, Albert RK. Noninvasive monitoring of arterial blood gases. Chest. 1983;83:666-670.
18. Demolis P, Chalon S, Giudicelli JF. Repeatability of transcranial Doppler measurements of arterial blood flow velocities in healthy volunteers. Clin Sci. 1993;84:599-604.[Medline] [Order article via Infotrieve]
19. Stokely EM, Sveindottir E, Lassen NA, Rommer P. A single photon dynamic computer assisted tomograph (D CAT) for imaging brain function in multiple cross sections. J Comput Assist Tomogr. 1980;4:230-240.[Medline] [Order article via Infotrieve]
20. Celsis P, Goldman T, Henriksen L, Lassen NA. A method for calculating regional blood flow from emission tomography of inert gas concentrations. J Comput Assist Tomogr. 1981;5:641-645.[Medline] [Order article via Infotrieve]
21. Armitage P, Berry G. Further analysis of straight line data. In: Armitage P, Berry G, eds. Statistical Methods in Medical Research. Oxford, England: Blackwell Scientific Publications, Inc; 1994:283-311.
22. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307-310.[Medline] [Order article via Infotrieve]
23. Wollschlaeger P, Wollschlaeger E. The circle of Willis. In: Newton TH, Potts DG, eds. Radiology of the Skull and Brain. St Louis, Mo: CV Mosby Co; 1974:1171-1201.
24. Kuschinsky W, Paulson OB. Capillary circulation in the brain. Cerebrovasc Brain Metab Rev. 1992;4:261-286.[Medline] [Order article via Infotrieve]
This article has been cited by other articles:
![]() |
H. Chabriat, S. Pappata, L. Ostergaard, C. A. Clark, M. Pachot-Clouard, K. Vahedi, A. Jobert, D. Le Bihan, and M. G. Bousser Cerebral Hemodynamics in CADASIL Before and After Acetazolamide Challenge Assessed With MRI Bolus Tracking Stroke, August 1, 2000; 31(8): 1904 - 1912. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. M. Eicke, E. Buss, R. R. Bahr, G. Hajak, and W. Paulus Influence of Acetazolamide and CO2 on Extracranial Flow Volume and Intracranial Blood Flow Velocity Stroke, January 1, 1999; 30(1): 76 - 80. [Abstract] [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Stroke Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 1996 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |