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Stroke. 2000;31:2203-2207

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(Stroke. 2000;31:2203.)
© 2000 American Heart Association, Inc.


Original Contributions

Noninvasive Measurement of Cerebral Blood Flow With 99mTc-Hexamethylpropyleneamine Oxime Single-Photon Emission Computed Tomography and 1-Point Venous Blood Sampling

Yoshinari Isaka, MD; Satoshi Furukawa, MD; Hideki Etani, MD; Etsuko Nakanishi, MD; Yosuke Ooe, MD Masatoshi Imaizumi, MD

From the Department of Internal Medicine, Osaka National Hospital, Osaka, Japan.

Correspondence and reprint requests to Yoshinari Isaka, MD, Department of Internal Medicine, Osaka National Hospital, Hoenzaka, 2-1-14, Chuo-ku, Osaka 5400006, Japan. E-mail yoshisk{at}onh.go.jp


*    Abstract
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*Abstract
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Background and Purpose—The arterial and venous blood concentration of technetium 99m–labeled hexamethylpropyleneamine oxime (99mTc-HMPAO) reaches an equilibration more rapidly than other CBF tracers. We hypothesized that 99mTc radioactivity of a venous sample at equilibrium, which is similar to that of an arterial sample, would allow estimation of the integrated input function for the clinical measurement of CBF by use of single-photon emission CT.

Methods—In 53 patients with stable cerebrovascular disease, the radioactivity of a venous sample 5 minutes after injection of 99mTc-HMPAO was correlated with 5-minute arterial blood radioactivity and the first 5 minutes of the integrated arterial curves of the lipophilic tracer. The measured CBF values were compared with those of xenon 133.

Results—–The radioactivity of 5-minute venous blood was almost equivalent to that of 5-minute arterial blood (r2=0.987; y=0.993x+1.63; P<0.0001). The correlation between the venous blood radioactivity and the integrated arterial lipophilic fraction was excellent (r2=0.935, P<0.0001). A strong correlation was obtained between 99mTc-HMPAO and 133Xe CBF values (r2=0.825, P<0.0001). CBF values were reproducible (coefficient of variation, 8.6%).

Conclusions—-This approach is fast, simple, and an alternative to continuous blood sampling in clinical quantitative 99mTc-HMPAO CBF studies.


Key Words: cerebral blood flow • cerebrovascular disorders • tomography, emission computed


*    Introduction
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In stroke research, the availability of a quantitative cerebral blood flow (CBF) image is important for interpretation of changes in the brain.1 Hexamethylpropyleneamine oxime labeled with technetium 99m (99mTc-HMPAO) is useful for evaluating the physiological changes that accompany regional cerebral blood flow (rCBF) abnormalities in acute stroke.2 3 The tracer is suitable for the routine determination of CBF,4 because it is readily available from a freeze-dried kit and is rapidly converted to a hydrophilic form that is retained for many hours.

Several methods of rCBF quantification are reported for 99mTc-HMPAO single-photon emission CT(SPECT). Generally, there are 2 ways of measuring CBF by this tracer. One is to measure the brain time-activity curve and to obtain the arterial input curve either directly by arterial blood sampling5 6 or indirectly from 99mTc-HMPAO angiography.7 The other way is to use the true CBF of the reference region so that 99mTc-HMPAO SPECT yields a quantitative rCBF image relative to a reference CBF.8 These methods require continuous arterial blood sampling, the dynamic information of the tracer uptake in the brain, or introduction of another diffusible tracer to obtain a reference CBF. Drawbacks to the CBF quantification are that this is time consuming and not readily available in the clinical setting. The present study describes the noninvasive and rapid quantification of CBF by measurement of the steady-state influx constant of 99mTc-HMPAO. CBF can be quantified with a single SPECT scan and 1-point venous sampling when equilibrium between arterial and venous radioactivities is reached.


*    Subjects and Methods
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*Subjects and Methods
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Theory
The kinetic model of blood-brain exchange reported by Neirinckx et al4 was used. The 99mTc forms a lipophilic complex with HMPAO. After intravenous injection of HMPAO, it passes through the blood-brain barrier, and a fraction E of the lipophilic tracer is extracted into the brain. Inside the brain, the lipophilic tracer is rapidly converted to a hydrophilic form that is retained for many hours, whereas some of lipophilic complexes diffuse back to the blood. When complete brain-blood equilibrium is reached t minutes after tracer injection, observed brain radioactivity can be expressed as follows:

(1)
where SPECT is the radioactivity in the whole-brain region of interest (ROI) of SPECT, E is the first-pass extraction of HMPAO by the brain, R is the retained fraction of lipophilic radioactivity in the brain, and CaL is the lipophilic tracer radioactivity in the arterial blood.

If E and R are known and steady-state radioactivity of the venous blood has close associations with CaL and {int}t0 CaL (t)dt, Equation 1Up can be solved simply in terms of the tracer concentrations in the venous blood and in the brain as follows:

(2)
where E=0.72,9 R=0.54,9 Cv(5) is the radioactivity of the venous blood at steady state (5 minutes), and k is the slope of the regression line of

with Cv(5)=4.62.

Patients
CBF was measured in 53 patients with stable cerebrovascular disease (CVD) (28 men and 25 women; mean age 70.6 [range 47 to 87] years). No patients had a renal insufficiency. Diagnosis was based on criteria from the National Institute of Neurological Disorders and Stroke.10 Six patients had had a transient ischemic attack, 33 a lacunar infarction, 1 an atherothrombotic infarction, 2 a cerebral hemorrhage, and 11 a poststroke dementia. All patients gave informed consent for participation in the study.

CBF Studies
99mTc-HMPAO was formed by reconstituting a commercial vial of HMPAO (Cerebrotec, Amersham Health Care) with 5 mL of 15 to 30 mCi (555 to 1110 MBq) fresh 99mTc pertechnetate. Arterial blood samples were obtained from a small catheter placed in the brachial artery. The sampling was performed every 15 seconds for the first 2 minutes and every 30 seconds for the next 3 minutes after intravenous injection of 10 mCi 99mTc-HMPAO. Arterial blood was collected in vials containing l mL of octanol, and the arterial concentration of lipophilic tracer was measured by the rapid octanol extraction technique.11 Venous blood also was sampled 5 minutes after injection.

SPECT scanning was then started with a single-head rotating camera (GCA-901A, Toshiba) with a resolution of 17 mm full-width half-maximum, using a low-energy, high-resolution collimator. Sixty views, 20-second frames collected over 360o, were recorded into a 128x128 matrix. Transaxial sections at 2.7-mm intervals were used to reconstruct computed images 10.8 mm thick in planes parallel to the orbitomeatal line.

In all patients, CBF was measured within 2 weeks of SPECT examination with the intravenous 133Xe method12 and a helmet-type parallel 32-detector system (BF 1400, Valmet). Sixteen detectors were symmetrically placed in each hemisphere. Approximately 20 mCi of 133Xe-labeled saline was injected into the antecubital vein. The clearance of the head curve was recorded over 15 minutes from each head detector as well as from a separate detector that monitored the radioactivity in expired air. The clearance curve was fitted by a 2-compartment deconvolution, with end-tidal 133Xe counts as an input function.

Integrated lipophilic activity was determined by summing the area under the measured concentration curve CaL(t) between 0 and 5 minutes and was calibrated and converted to units of microcuries per minute per milliliter. The time course of the ratio of lipophilic to nonlipophilic radioactivity was expressed as a percentage of the total radioactivity in each arterial sample. Venous blood radioactivity 5 minutes after 99mTc-HMPAO injection was compared with that of arterial blood and the integrated lipophilic tracer activity up to 5 minutes after injection. Eight subjects were scanned twice, 1 week apart, to determine the reproducibility of CBF values. An ROI in the whole brain was defined by incorporating all pixels that were >30% of the maximum counts per pixel on a single SPECT section containing the basal ganglia. Tracer concentration measured within the whole brain was expressed as µCi (37 kBq)/100 g, assuming a brain weight of 1270 g. A mean whole-brain 133Xe CBF value was calculated for each subject from fast flow (f1), slow flow (f2), and the obtained weight ratio between gray and white matter (w1/w2).13 Results were analyzed by using the Pearson equation and linear regression. Data were presented as mean±SD. Statistical significance was set at P<0.05.


*    Results
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up arrowSubjects and Methods
*Results
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As shown in Figure 1Down, the 5-minute tracer counts of venous blood sample were almost equivalent to those of the arterial blood sample; 564.4±137.1x104 counts per minute per milliliter (cpm/mL) versus 567±137.2x104 cpm/mL (r2= 0.987, P<0.0001; y=0.993x+1.63). The table shows the time course of the concentration of lipophilic tracer in the arterial blood. The percentage of the lipophilic radioactivity was highest after 15 seconds, then decreased rapidly within the subsequent 1 minute, and reached nearly zero after 4 minutes. There was a strong correlation between the 5-minute radioactivity of venous blood and the integrated arterial lipophilic tracer activity up to 5 minutes after injection (r2=0.935, P<0.0001; y=4.62x-0.14) (Figure 2Down). The y intercept of this regression line was sufficiently small compared with the magnitude of integrated arterial lipophilic tracer activity.



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Figure 1. Relationship between 5-minute arterial blood radioactivity and venous radioactivity. Values are expressed as cpmx104/mL.



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Figure 2. Relationship between 5-minute venous blood radioactivity and the first 5 minutes of the integrated arterial curves of the lipophilic radioactivity. Values are expressed as µCi/mL.

Average values of 99mTc-HMPAO CBF and 133Xe CBF in the whole brain were 35.6±7.3 and 37.0±8.3 mL · 100 g-1 · min-1, respectively. A close correlation was observed for 99mTc-HMPAO CBF versus 133Xe CBF (r2=0.825, P<0.0001; y=0.804x+5.84) (Figure 3Down).



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Figure 3. Relationship between 99mTc-HMPAO CBF and the 133Xe CBF. Solid line represents regression line; dotted line, identical line.

Mean whole-brain CBF values obtained in the second measurement (33.5±7.8 mL · 100 g-1 · min-1) did not differ significantly from those obtained in the first (34.2±4.7 mL · 100 g-1 · min-1). The reproducibility of CBF values was good (r2=0.622, P<0.005; y=0.987x+0.9). The coefficient of variation for CBF was 8.6%.


*    Discussion
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up arrowResults
*Discussion
down arrowReferences
 
We found that the radioactivity of the 5-minute venous blood sample was almost identical to that of the 5-minute arterial blood sample and was proportional to the integrated arterial lipophilic radioactivity of 99mTc-HMPAO. At 5 minutes, equilibration between brain and blood is fully achieved, because the ratio of radioactivity in the arterial blood versus that in the venous blood reaches a plateau. This rapid decline of lipophilic 99mTc-HMPAO from the blood can be caused by rapid conversion to hydrophilic metabolites and binding to some blood component. In rat biodistribution data,4 a high proportion of the radioactivity remaining in the blood appears to be trapped within red blood cells. It is possible that the mechanism for entrapment within these cells is similar to that of brain retention. This may explain why radioactivity of the 5-minute blood sample is strongly related to the integrated lipophilic radioactivity from the plasma input curve. Pupi et al14 found that fractional brain uptake derived from the injected dose was not a reliable indicator of 99mTc-bicisate CBF, suggesting that intracellular and extracellular radioactivities may vary from individual to individual. Considering the intersubject variability of kinetic parameters in the blood and in the brain, the need of blood sampling and counting for CBF determination was indicated.

We were able to measure CBF with a shorter examination period than those in the previous methods that used continuous arterial blood sampling and/or kinetic analysis of the tracer with a high-performance gamma camera system. This was made possible through the substitution of 1-point venous blood sampling for arterial blood sampling to obtain an input and no need for dynamic SPECT data acquisition. SPECT counts/integrated lipophilic activity reflects essentially the steady-state influx constant of Patlak and Blasberg,15 which can be measured with a single SPECT scanning. In other words, net SPECT counts/integrated lipophilic activity is expected to be a quantitative index of CBF. Data acquisition time can be reduced further by using a multi-ring SPECT camera. CBF measurement can be completed within 25 minutes, and thus the use of the present method as a test for brain function would not delay acute stroke therapy.

For radiolabeled microspheres, the extraction fraction is {approx}100% in the brain tissue of humans, and tracer uptake versus CBF have a linear relationship.16 However, this method is not suitable for human use because of its invasiveness. Most of the limitations of CBF tracers, including 133Xe-, 99mTc-, or 123I-labeled CBF tracers and H215O arise from the nonlinear relationship between true CBF and measured radiotracer concentration.17 18 19 Over a CBF range of 20 to 120 mL · 100 g-1 · min-1, 133Xe CBF correlates linearly with true CBF.17 At a CBF level that corresponds to normal regional CBF for human cortex, 50 mL · 100 g-1 · min-1, 99mTc-HMPAO has a first-pass extraction of approximately >=70%.18 The underestimation of CBF in the present method appeared to be less at whole-brain CBF levels of up to 50 mL · 100 g-1 · min-1. When CBF exceeded 50 mL · 100 g-1 · min-1, CBF was underestimated because of the limitation of brain permeability to 99mTc-HMPAO; an estimated 99mTc-HMPAO CBF was 86.2 mL · 100 g-1 · min-1 at the 133Xe CBF level of 100 mL · 100 g-1 · min-1. We measured CBF by using fixed values of E and R that were obtained from the whole brain after an intracarotid bolus injection of the tracer, at a mean CBF level of 59 mL · 100 g-1 · min-1.9 Calculating the permeability surface area product of brain capillaries20 or the regression between E and 99mTc-HMPAO CBF,6 we can correct low extraction of 99mTc-HMPAO CBF SPECT. The rational approach to linearize 99mTc-HMPAO CBF is to correct flow-dependent backdiffusion of the tracer by an equation described by Andersen et al11 and Lassen et al.9 The HMPAO conversion/clearance ratio ({alpha}) is different in each individual case, and this assumption is not true in specific diseased regions of the brain. The clinical relevance of the use of correction equations for E and R remains to be clarified. Further studies are necessary to verify the accuracy of the assumptions and to determine the optimal correction method to linearize brain uptake of CBF tracers versus blood-flow relationship.

The accuracy of the estimation of CBF is influenced by multiple sources of variation, such as the difference in E, variation in R, shape and height of the input function, and errors in the measurement of brain and blood radioactivities. The possibility of unreliable CBF estimates arises from propagation of errors. The whole-brain 99mTc-HMPAO CBF value of 35.6±5.3 mL · 100 g-1 · min-1 in patients with chronic CVD is in agreement with the values previously reported in the literature.21 22 23 As for the reproducibility of the measurement of CBF, coefficients of variation of the 133Xe clearance method24 and the C15O2 inhalation method25 are 6.5% and 5%, respectively. Our coefficient of variation of 8.6% is thought to be acceptable for the measurement method of CBF.

Early assessment of patient characteristics that predict outcome after acute ischemic stroke is essential in therapeutic trials and clinical practice.26 27 At present, CBF SPECT analysis of the effects of acute stroke therapy with tissue plasminogen activator is under study.28 The clinical significance of knowing severity, size, and location of ischemia in CVD has not yet been fully determined.29 Some question remains about whether the theory for CBF quantification is true in a particular tissue of the brain, because many brain regions contain a variety of disease and pathological states. Functional tissue heterogeneity (ie, inclusion of tissues with different rates of E, R, flow, and metabolism within a single ROI) is an unavoidable problem with functional imaging modality. Focal alteration in E and R in pathological tissue may contribute to the error in calculated CBF, but presently it is impossible to separate these effects from global estimates of E and R. Calculation of true CBF is essentially difficult in most of CBF tracers as long as E is not complete and backdiffusion exits. Furthermore, the hyperfixation of HMPAO in infarct reperfusion may limit the estimation accuracy.30 In patients with CVD, not only the degree of neurological impairment but also age, gender, risk factors, and severity of carotid atherosclerosis can influence CBF.31 We have focused on the design and methodology of a simpler, noninvasive method for 99mTc-HMPAO CBF quantification. Our method is noninvasive, computationally fast, and effective for measuring CBF in patients with CVD. Future studies are needed to determine whether the use of 99mTc-HMPAO-SPECT in the evaluation of CVD promises better differentiation between areas of potentially viable and irreversibly injured tissue than that possible by conventional neuroimaging methods alone.


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Table 1. Time Course of the Arterial Lipophilic and Nonlipophilic Radioactivities


*    Acknowledgments
 
We gratefully acknowledge the help of the staff from the Division of Nuclear Medicine of Osaka National Hospital in acquiring the data. This work was supported by the Research Grant for Cardiovascular Diseases (11–10) from the Ministry of Health and Welfare.

Received February 8, 2000; revision received May 30, 2000; accepted May 30, 2000.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
up arrowResults
up arrowDiscussion
*References
 
1. Mayer SA, Lignelli A, Fink ME, Kessler DB, Thomas CE, Swarup R, Van Heertum RL. Perilesional blood flow and edema formation in acute intracerebral hemorrhage: a SPECT study. Stroke. 1998;29:1791–1798.[Abstract/Free Full Text]

2. Baird AE, Austin MC, McKay WJ, Donnan GA. Sensitivity and specificity of 99mTc-HMPAO SPECT cerebral perfusion measurements during the first 48 hours for the localization of cerebral infarction. Stroke. 1997;28:976–980.[Abstract/Free Full Text]

3. Alexandrov AV, Black SE, Ehrlich LE, Caldwell CB, Norris JW. Predictors of hemorrhagic transformation occurring spontaneously and on anticoagulants in patients with acute ischemic stroke. Stroke. 1997;28:1198–1202.[Abstract/Free Full Text]

4. Neirinckx RD, Canning LR, Piper IM, Nowotnik DP, Pickett RD, Holmes RA, Volkert WA, Forster AM, Weisner PS, Marriott JA, Chaplin SB. [99mTc]d, l-HM-PAO: a new radiopharmaceutical for SPECT imaging of regional cerebral perfusion. J Nucl Med. 1987;28:191–202.[Abstract/Free Full Text]

5. Pupi A, De Cristofaro MTR, Bacciottini L, Antoniucci D, Formiconi AR, Mascalchi M, Meldolesi U. An analysis of the arterial input curve for technetium-99m-HMPAO: quantification of rCBF using single-photon emission computed tomography. J Nucl Med. 1991;32:1501–1506.[Abstract/Free Full Text]

6. Murase K, Tanada S, Fujita H, Sasaki S, Hamamoto K. Kinetic behavior of technetium-99m-HMPAO in the human brain and quantification of cerebral blood flow using dynamic SPECT. J Nucl Med. 1992;33:135–143.[Abstract/Free Full Text]

7. Matsuda H, Tsuji S, Shuke N, Sumiya H, Tonami N, Hisada K. A quantitative approach to technetium-99m hexamethylpropylene amine oxime. Eur J Nucl Med. 1992;19:195–200.[Medline] [Order article via Infotrieve]

8. Gemmell HG, Evans NTS, Besson JAO, Roeda D, Davidson J, Dodd MG, Sharp PF, Smith FW, Crawford JR, Newton RH, Kulkarni V, Mallard JR. Regional cerebral blood flow imaging: a quantitative comparison of technetium-99m-HMPAO SPECT with C15O2 PET. J Nucl Med. 1990;31:1595–1600.[Abstract/Free Full Text]

9. Lassen NA, Andersen AR, Friberg L, Paulson OB. The retention of [99mTc]-d,l-HM-PAO in the human intracarotid bolus injection: a kinetic analysis. J Cereb Blood Flow Metab. 1988;8:S13–S22.[Medline] [Order article via Infotrieve]

10. National Institute of Neurological Disorders and Stroke. Special Report From the National Institute of Neurological Disorders and Stroke: classification of cerebrovascular diseases III. Stroke. 1990;21:637–675.[Free Full Text]

11. Andersen AR, Friberg H, Lassen NA, Kristensen K, Neirinckx RD. Assessment of the arterial input curve for [99mTc]-d, l-HM-PAO by rapid octanol extraction. J Cereb Blood Flow Metab. 1988;8:S23–S30.[Medline] [Order article via Infotrieve]

12. Obrist WD, and Wilkinson WE. Regional cerebral blood flow measurement in humans by xenon-133 clearance. Brain Metab Rev. 1990;2:283–327.

13. Jaggi JL, Obrist WD. Regional cerebral blood flow determined by 133xenon clearance. In: Cerebral Blood Flow. Wood JH, ed. New York, NY: McGraw-Hill Book Co; 1987:189–201.

14. Pupi A, De Cristofaro MT, Passeri A, Castagnoli A, Santoro GM, Antoniucci D, Dal Pozzo G, Pellicano G, Bacciottini L, Bottoncetti A, Briganti V. Quantitation of brain perfusion with 99mTc-bicisate and single SPECT scan: comparison with microsphere measurements. J Cereb Blood Flow Metab. 1994;14:S28–S35.

15. Patlak C, Blasberg RG. Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data: generalizations. J Cereb Blood Flow Metab. 1985;5:584–590.[Medline] [Order article via Infotrieve]

16. Warner DS, Kassell NF, Boarini DJ. Microsphere cerebral blood flow determination. In: Cerebral Blood Flow. Wood JH, ed. New York, NY: McGraw-Hill Book Co; 1987:288–298.

17. Marcus ML, Bischof CJ, Heistad DD. Comparison of microsphere and xenon-133 clearance method in measuring skeletal muscle and cerebral blood flow. Circ Res. 1981;48:748–761.[Free Full Text]

18. Di Rocco RJ, Silva DA, Kuczynski BL, Narra RK, Ramalingam K, Jurisson S, Nunn AD, Eckelman WC. The single-pass cerebral extraction and capillary permeability-surface area product of several putative cerebral blood flow imaging agents. J Nucl Med. 1993;34:641–648.[Abstract/Free Full Text]

19. Raichle ME, Martin WR, Herscovitch P, Mintun MA, Markham J. Brain blood flow measured with intravenous H215O, II: implementation and validation. J Nucl Med. 1983;24:790–798.[Abstract/Free Full Text]

20. Tsuchida T, Yonekura Y, Nishizawa S, Sadato N, Tamaki N, Fujita T, Magata Y, Konishi J. Nonlinearity correction of brain perfusion SPECT based on permeability-surface area product model. J Nucl Med. 1996;37:1237–1241.[Abstract/Free Full Text]

21. Lenzi GL, Fracowiak RSJ, Jones T. Cerebral oxygen metabolism and blood flow in human cerebral ischemic infarction. J Cereb Blood Flow Metab. 1982;2:321–335.[Medline] [Order article via Infotrieve]

22. Ackerman RH, Alpert NM, Correia JA, Finklestein S, Davis SM, Kelley RE, Donnan GA, D’Alton JG, Taveras JM. Positron imaging in ischemic stroke disease. Ann Neurol. 1984;15(suppl):S126–S130.

23. Firlik AD, Kaufmann AM, Wechsler LR, Firlik KS, Fukui MB, Yonas H. Quantitative cerebral blood flow determinations in acute ischemic stroke: relationship to computed tomography and angiography. Stroke. 1997;28:2208–2213.[Abstract/Free Full Text]

24. Fox RA, Knuckey NW, Fleay RF, Stokes BA, Van der Schaaf A, Surveyor I. Regional cerebral blood flow utilizing the gamma camera and xenon inhalation: reproducibility and clinical applications. Stroke. 1985;16:1010–1015.[Abstract/Free Full Text]

25. Jones SC, Greenberg JH, Reivich M. Error analysis for the determination of cerebral blood flow with the continuous inhalation of 15O-labeled carbon dioxide and positron emission tomography. J Comput Assist Tomogr. 1982;6:116–124.[Medline] [Order article via Infotrieve]

26. Hacke W, Bluhmki E, Steiner T, Tatlisumak T, Mahagne MH, Sacchetti ML, Meier D. Dichotomized efficacy end points and global end-point analysis applied to the ECASS intention-to-treat data set: post hoc analysis of ECASS I. Stroke. 1998;29:2073–2075.[Abstract/Free Full Text]

27. The National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group. Tissue plasminogen activator for acute ischemic stroke. N Engl J Med. 1995;333:1581–1587.[Abstract/Free Full Text]

28. Ueda T, Sakaki S, Yuh WT, Nochide I, Ohta S. Outcome in acute stroke with successful intra-arterial thrombolysis and predictive value of initial single-photon emission-computed tomography. J Cereb Blood Flow Metab. 1999;19:99–108.[Medline] [Order article via Infotrieve]

29. Kaufmann AM, Firlik AD, Fukui MB, Wechsler LR, Jungries CA, Yonas H. Ischemic core and penumbra in human stroke. Stroke. 1999;30:93–99.[Abstract/Free Full Text]

30. Companioni JM, Lassen NA, Tfelt-Hansen P, Friberg L. Delayed reflow of an ischemic infarct after spontaneous thrombolysis studied by CBF tomography using SPECT and 99mTc-HMPAO. Am J Physiol Imaging. 1991;6:167–171.[Medline] [Order article via Infotrieve]

31. Obisesan TO, Vargas CM, Gillum RF. Geographic variation in stroke risk in the united states: region, urbanization, and hypertension in the third national health and nutrition examination survey. Stroke. 2000;31:19–25.[Abstract/Free Full Text]





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