| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
(Stroke. 2003;34:2159.)
© 2003 American Heart Association, Inc.
Original Contributions |
From the Departments of Neurology (K.B., M.P., T.B., A.B., S.D) and Radiology (B.T.), Royal Melbourne Hospital and University of Melbourne, and Department of Neurology, Austin Repatriation Medical Centre (G.D.), Melbourne, Australia.
Correspondence to Dr Ken Butcher, Department of Neurology, Royal Melbourne Hospital, Parkville, Victoria 3050, Australia. E-mail Kenneth.butcher{at}mh.org.au
| Abstract |
|---|
|
|
|---|
Methods Mean transit time (MTT), regional cerebral blood flow (rCBF), and regional cerebral blood volume (rCBV) maps were generated in 35 acute stroke patients (17 treated with tissue plasminogen activator and 18 control patients) imaged within 6 hours from symptom onset. Day 90 outcome infarcts (T2-weighted MRI) were superimposed on acute MTT, rCBF, and rCBV maps. Perfusion-weighted MRI measures were then calculated for 2 regions: infarcted and salvaged tissue.
Results MTT was prolonged by 22% in infarcted regions relative to salvaged tissue (P<0.001). rCBF was 10% lower in infarcted tissue than in salvaged regions (P<0.01). rCBV did not differ significantly between infarcted and salvaged regions. When reperfusion occurred, tissue with more severely prolonged MTT was salvaged from infarction relative to patients with persistent hypoperfusion (P<0.05). In contrast, rCBF in salvaged regions did not differ between patients with and without reperfusion. In reperfused patients, an inverse correlation (R=0.93, P<0.001) was found between time of initial MRI scan and MTT delay in salvaged tissue.
Conclusions Both increases in MTT and decreases in rCBF predict infarction. Differences in MTT also predict salvage in more severely hypoperfused tissue after reperfusion, suggesting that it is the most clinically useful quantitative perfusion measure. Perfusion thresholds for infarction need to be assessed in the context of symptom duration.
Key Words: magnetic resonance imaging perfusion thrombolysis
| Introduction |
|---|
|
|
|---|
Diffusion-weighted MRI (DWI) demonstrates regions of restricted water movement that are associated with bioenergetic failure.5 Dynamic susceptibility perfusion-weighted MRI (PWI) allows the visualization of areas of altered blood flow.6 Used together, DWI and PWI may allow identification of tissue that is at risk for infarction but also potentially amenable to salvage with reperfusion and/or neuroprotective strategies, that is, the ischemic penumbra.710
PWI abnormalities have been shown to qualitatively predict cerebral infarction with high sensitivity.11 The final extent of infarction, however, is quite variable. In most cases, the final infarct region is intermediate between the acute PWI and DWI abnormalities. This likely represents differences in the severity of hypoperfusion within the visible abnormality identified with PWI.1214 Attempts to more accurately predict tissue fate in ischemia with the use of quantitative DWI have been made with only moderate success.15,16 Quantitative PWI has also been assessed for its potential in determining threshold perfusion levels for infarction or recovery.10,13,14,17,18 These studies have assessed the correlation between PWI indices and infarction in natural history populations and have not taken into consideration the effect of reperfusion.
In this quantitative PWI analysis in acute stroke patients treated with tPA or conservatively, we hypothesized that hypoperfusion would be most severe in tissue that ultimately infarcts. In addition, we hypothesized that restoration of cerebral blood flow (CBF) would be associated with an elevated perfusion threshold for infarction. We tested these hypotheses with 3 commonly used quantitative PWI measures and compared their relative predictive value.
| Subjects and Methods |
|---|
|
|
|---|
In 17 patients, thrombolysis was performed with 0.9 mg/kg body wt tPA according to the National Institute of Neurological Disorders and Stroke (NINDS) tPA Stroke Study protocol, with the exception that treatment was extended to 6 hours.19 Patients were also deemed ineligible for thrombolysis if stroke severity was mild (defined as National Institutes of Health Stroke Scale [NIHSS] score
4) or severe (defined as NIHSS score
22). In addition, the pretreatment CT scan was used to exclude patients with hemorrhage or parenchymal ischemic changes exceeding one third of the middle cerebral artery territory.2,20 Treatment commenced immediately after MRI in all patients.
Before the approval for use of tPA in acute stroke in January 2000, DWI and PWI were performed but were not followed by thrombolysis (n=18). Patients from this historical control group were not included in this study if they met clinical or CT exclusion criteria for thrombolysis. A single patient who was eligible for tPA treatment but refused to consent to thrombolysis was also included in the control group. Four of the control patients were enrolled in trials of the putative neuroprotective agents GV150526 (glycine antagonist; n=2) and BMS-204352 (potassium channel agonist; n=2).
MRI Protocol
MRI scans were obtained with 1.5-T echo-planar imagingequipped whole-body scanners (Signa Horizon SR 120; General Electric). The baseline and subacute (days 3 to 5) sequences included a T1-weighted sagittal localizer, DWI, PWI, and MR angiography (MRA). Repeated MRI at day 90 included a T1-weighted sagittal localizer and T2-weighted fast-spin double-echo sequence (repetition time [TR]/echo time [TE]/TE, 3500/10/60 ms).
Perfusion-weighted images were obtained with the use of a bolus of gadolinium diethylenetriamine penta-acetic acid (Gd-DTPA 0.2 mmol/kg) via a large-bore cannula in the antecubital fossa. The injection was performed at a speed of 5 mL/s with a power injector (Spectris, Medrad) and followed by a 15-mL bolus of saline. Ten to 13 slices were obtained, centered on the DWI lesion. Slice thickness was 6 mm +1-mm gap, matrix 256x256, and field of view (FOV) 40x20 cm. Images were obtained at 40 time points per slice.
Diffusion-weighted images were obtained with the use of a multislice, single-shot, spin-echo echo-planar imaging sequence. Sixteen 6-mm +1-mm gap slices were obtained. Matrix size was 128x128, FOV 24x24 cm, and TR/TE 6000/107 ms. Diffusion gradient strength varied between 0 and 22 mT/m, resulting in 3 b values of increasing magnitude from 0 to 1000 s/mm.
MRA was obtained with the use of a 2-dimensional phase-contrast sequence in the region of the circle of Willis with slab thickness of 10 mm +1-mm gap and velocity-encoding speeds of 70 cm/s. Gradients were applied in 3 directions, with TR/TE 25/7.5 ms, flip angle 30°, matrix 256x128, FOV 20x20 cm, and number of excitations=2.
Data Analysis
Postprocessing of raw perfusion images was performed with the use of customized software developed in the commercial Interactive Data Language package (Research Systems). This software was used to plot the change in MRI transverse relaxivity (DR2*), which is linearly related to Gd-DTPA concentration, on a per-voxel basis over time. A gamma variate function was then fitted to the intensity-time curve on a per-voxel basis. Quantitative perfusion indices including mean transit time (MTT), relative CBF (rCBF), and relative blood volume (rCBV) were calculated with the single-value decomposition method. This technique allows the tissue concentration-time curve to be calculated, on an individual pixel basis, as a deconvolution of the raw contrast-enhanced perfusion images with an arterial input function.6,21 In all cases, the arterial input function was selected from a branch of the middle cerebral artery contralateral to the ischemic hemisphere.
Regional quantitative PWI map analysis was performed with the commercial software Medx (Sensor Systems). The region of visible MTT abnormality was outlined initially and then reflected to the contralateral hemisphere. The MTT of this homologous region was then recorded. On the basis of previous PWI studies, hypoperfusion was defined a priori as a MTT delay of >2 seconds beyond that of the unaffected hemisphere.12,14 Hypoperfused regions were outlined with the use of a semiautomated threshold technique on all slices. Final outcome infarct size was determined from the day 90 T2-weighted sequence. Infarct and salvage regions were determined by superimposing corresponding T2-weighted imaging outcome slices. This procedure was repeated for rCBF and rCBV maps. The infarct and salvage perfusion parameters were calculated in every slice where an abnormality (MTT delay >2 seconds) was seen. Evidence of reperfusion was assessed with the use of either visible recanalization on the subacute MRA or resolution of >80% of the acute PWI deficit, as seen on the subacute MTT maps. The time from symptom onset to initial MRI was used as an estimate of the duration of hypoperfusion because most cases of reperfusion occurred after thrombolysis, which was initiated immediately after completion of the first imaging studies.
Statistical Analysis
Analysis was performed with a statistical software package (STATA Corporation, 1999). The Student t test was used to compare initial quantitative PWI measures in infarcted and salvaged regions. The Spearman rank test was used to test the significance of correlations between quantitative PWI measures and time to initial MRI. The Pearson
2 test was used to assess the relative frequency of reperfusion in tPA-treated and conservatively treated patients. All data are presented as mean±SEM.
| Results |
|---|
|
|
|---|
MTT Maps
Acutely, MTT was prolonged within the affected hemisphere of all patients. MTT delay was consistently greater in tissue that was infarcted at 90 days relative to regions that did not progress to infarction (Figure 1). The average delay in MTT in all patients, relative to homologous regions in the unaffected hemisphere, was 8.3±0.4 seconds (range, 2.3 to 13.7 seconds) in infarcted tissue and 6.5±0.4 seconds (range, 2.2 to 11.7 seconds) in salvaged tissue. Thus, MTT delay was 22% greater in infarcted regions relative to salvaged regions (P<0.001). In 3 tPA-treated patients, no infarct was visible on MRI at 90 days, consistent with complete salvage of the acutely hypoperfused tissue. In 1 control patient, the entire acute MTT abnormality progressed to infarction at 90 days, and no salvaged regions were present.
|
Evidence of reperfusion was seen at the time of the subacute MRI/MRA in 18 of 35 patients. Reperfusion was more frequent in tPA-treated patients (13 of 17) than in those managed conservatively (5 of 18;
2=8.3, P<0.005). In patients with acute-subacute reperfusion, tissue salvage occurred in regions with greater MTT delay compared with patients without reperfusion (7.5±0.1 versus 5.4±0.1 seconds; P<0.05). In reperfused patients, MTT delay within infarcted regions was also greater than in those without reperfusion (9.4±0.2 versus 7.3±0.1 seconds; P<0.05). Reperfusion therefore elevated the MTT threshold for infarction.
In patients with acute-subacute reperfusion, an inverse correlation (R=0.93, P<0.001) was found between time of initial MRI scan and MTT delay in salvaged tissue (Figure 2). An inverse correlation also existed between time to initial MRI and MTT delay in tPA-treated patients only, reflecting the high proportion of patients with reperfusion in this group (R=0.86, P<0.01). Tissue salvage occurred in regions with markedly prolonged MTT if tPA was given earlier. Thrombolysis after approximately 4.5 hours also resulted in tissue salvage, but in more moderately affected regions. Earlier tPA administration was therefore associated with salvage of tissue with more severely delayed MTT.
|
rCBF Maps
Overall, acute rCBF was 10% lower in infarcted (56±4% of contralateral; range, 29% to 125%) relative to salvaged (66±3% of contralateral; range, 38% to 94%) regions (Figure 1; P<0.01). In 1 patient rCBF was elevated in the infarcted region, consistent with partial reperfusion before the acute MRI study. In contrast to MTT, rCBF values in salvaged regions were not significantly different between patients with and without reperfusion. This reflected the relatively smaller difference between rCBF in infarcted and salvaged regions. Thus, tissue with lower rCBF was at higher risk of infarction, but rCBF alone did not predict the response to reperfusion. In patients in whom reperfusion occurred, however, there was a direct relationship between time to initial MRI and rCBF in salvaged regions (Figure 2; R=0.51, P<0.05). Although this correlation was not as strong as that seen with MTT, it confirms that earlier reperfusion is associated with salvage of more severely hypoperfused tissue.
rCBV Maps
Acutely, rCBV was increased in the affected hemisphere of all patients. The increase in rCBV did not differ between infarcted (135±10%; range, 68% to 345%) and salvaged (135±6%; range, 53% to 270%) regions (Figure 1). In patients with acute-subacute reperfusion, tissue salvage occurred in regions of significantly higher rCBV. In contrast to MTT and rCBF, rCBV in salvaged regions was not correlated with time to initial MRI scan (Figure 2).
| Discussion |
|---|
|
|
|---|
Perfusion Thresholds for Infarction
Perfusion thresholds for infarction and recovery have been demonstrated previously with positron emission studies.22 Outcome has also been shown to be related not only to severity of blood flow decreases but also to the duration of these changes.23,24 The relationship between severity of hypoperfusion, with the use of PWI techniques, and duration of ischemia has been demonstrated for the first time in this study.
There are several previous reports of MRI perfusion thresholds in acute stroke.10,13,14,17,18 None of these studies controlled for reperfusion or duration of hypoperfusion. A recent report indicated that an increase in the MTT
1.63 (ratio of contralateral side) progressed to infarction.17 Similarly, rCBF ratios of
0.59 progressed to infarction, but rCBV had no predictive value. As in the present study, however, there was significant overlap between MTT and rCBF values that progressed to infarction. This inability to demonstrate absolute thresholds likely reflects that the time to reperfusion is the most critical factor in determining tissue fate.
Response to Reperfusion
The present cohort contains 18 patients with reperfusion between the acute and subacute MRI studies. Tissue salvage in these patients occurred in regions of more severe hypoperfusion, as demonstrated by prolonged MTT, relative to patients without restoration of blood flow. Thus, the threshold for infarction is elevated in the setting of tissue reperfusion. The majority of these patients (13 of 18) received tPA, confirming the ability of thrombolysis to enhance reperfusion and subsequent tissue salvage.25,26
The response to reperfusion is also time dependent. Salvage in severely hypoperfused tissue is possible if these patients are treated with tPA within 4.5 hours of ischemic symptom onset. Importantly, the response to tPA is not limited to 3 hours. Tissue salvage can be seen in patients treated up to 6 hours after symptom onset. Rescue of more severely hypoperfused tissue occurs when reperfusion occurs earlier after symptom onset. This is consistent with the diminishing clinical response to tPA with increasing time to treatment.27 Analysis of patients treated with thrombolysis in the present study indicates that the most significant drop in tissue salvage, relative to prolonged MTT, occurs at approximately 4.5 hours after symptom onset. A recent meta-analysis of the clinical efficacy of intravenous tPA indicates that unity is also reached at 4.5 hours.28 Thus, the perfusion thresholds of this study appear to correlate well with the clinical response to thrombolysis.
Relative Predictive Value of MTT, rCBF, and rCBV Maps
We have found that MTT maps are most predictive of the fate of acutely ischemic tissue. rCBF maps also demonstrate thresholds, but the magnitude of the differences between infarcted and salvaged regions is not as great as that seen with MTT maps. The relationship between rCBF and tissue salvage appears to be more variable than that observed with MTT. Furthermore, the response to reperfusion demonstrated with MTT maps is not evident on rCBF analysis.
Our results indicate that rCBV is the least useful PWI measure in predicting thresholds for infarction. Increased rCBV in ischemic tissue represents sluggish blood flow and may also be affected by vasodilatation as a compensatory response to decreased cerebral perfusion.12,18 In the present study increased rCBV accompanied prolonged contrast transit time, but this did not discriminate between infarcted and salvaged regions. Some previous PWI studies have reported that rCBV increases in cerebral ischemia,13,18 while others have indicated that rCBV decreases in cerebral ischemia.10,17 Differences may be related to the time at which the MRI studies are completed. It may be that compensatory vasodilatory responses have failed by the time of subacute studies, and this is reflected in a decrease in rCBV. Alternatively, differences may be related to the variety of methods used to estimate the concentration-time curve.29,30 In contrast to rCBV, we found a consistent relationship between rCBF and tissue outcome. Changes in rCBF are related to arterial responses, presumably via autoregulatory changes in collateral vessels. MTT prolongation had the strongest correlation with tissue fate in this study. This likely reflects the fact that MTT is proportional to both rCBF and rCBV.
MTT changes have the additional advantage of being readily visible on color maps (Figure 1). The maximal extent of the rCBF and rCBV abnormalities is not easily identifiable on color maps. Thus, in this study the areas of rCBF and rCBV changes were actually determined with the use of the MTT abnormality. Previously, it has been shown that the region of MTT prolongation (>2 seconds) is larger than the region of decreased rCBF.12 Thus, areas of relatively normal blood flow were likely included in the estimation of salvaged regions on rCBF maps. This would accentuate any relative differences between infarcted and salvaged regions on rCBF maps. Despite the fact that this methodology favored rCBF maps, MTT was shown to have greater predictive value.
Absolute quantitative PWI measures have not yet been validated in acute ischemic stroke.31,32 Thus, rCBF and rCBV changes are typically expressed as percentages of the contralateral homologous regions. Theoretically, absolute MTT values can be used because they are a true reflection of the time domain. In this study, however, we have reported MTT changes relative to the contralateral hemisphere because of the lack of consensus regarding the most accurate method of estimating true transit time.30,33,34 The MRI signal intensitytime curve is proportional but not equivalent to the gadolinium concentrationtime curve. Thus, the true concentration-time response must be estimated by a mathematical approach. Alternatively, a surrogate measure, such as time to peak of signal intensity change, can be used. In the present study we used a single-value decomposition method.6,21 This calculates the true concentration-time curve as a deconvolution of the observed signal intensitytime curve and a selected arterial input function. The latter reflects the time taken for injection of the contrast agent. This method has recently been reported to have superior sensitivity to other estimates of true transit time.29 Nonetheless, other methods, including gamma variate fit or first moment techniques, are commonly used. Furthermore, groups using deconvolution methods have not agreed on the best measure of transit time. Therefore, until some consensus has been reached on a standardized approach to quantitative PWI or, alternatively, until absolute CBF can be validated, the utility of perfusion thresholds to prospectively predict tissue fate will be limited.
This study has 2 major limitations. The first is that time to initial MRI is only an estimate of the time when reperfusion actually occurred. Future studies would benefit from real-time monitoring of the affected artery, for example, with transcranial Doppler ultrasound. In addition, this study was based on the outcome of large regions of interest rather than a coregistered voxel approach. Although the latter would possibly be more accurate, the authors do not believe that this approach would alter the conclusions of this study. All patients studied had large cortically based perfusion deficits. From a pragmatic viewpoint, it is the fate of these large regions as a whole that is of interest to the treating physician rather than individual voxels.
Conclusions
This study confirms that severity of hypoperfusion is proportional to probability of infarction or salvage and that this can be detected reliably with PWI techniques. MTT appears to be the perfusion measure most predictive of outcome. In addition, earlier reperfusion allows salvage of more severely hypoperfused tissue from infarction. The very strong correlation between time to reperfusion and tissue salvage makes the definition of absolute perfusion thresholds problematic. Although this study confirms that time really is brain, significant tissue salvage beyond the current 3-hour thrombolysis treatment window still occurs.
| Acknowledgments |
|---|
Received November 18, 2002; revision received March 5, 2003; accepted April 29, 2003.
| References |
|---|
|
|
|---|
2. Hacke W. Advances in stroke management: update 1998. Neurology. 1999; 53 (suppl 4): S1S2.[Medline] [Order article via Infotrieve]
3. Ringleb PA, Schellinger PD, Schranz C, Hacke W. Thrombolytic therapy within 3 to 6 hours after onset of ischemic stroke: useful or harmful? Stroke. 2002; 33: 14371441.
4. Albers GW. Expanding the window for thrombolytic therapy in acute stroke: the potential role of acute MRI for patient selection. Stroke. 1999; 30: 22302237.
5. Baird AE, Warach S. Magnetic resonance imaging of acute stroke. J Cereb Blood Flow Metab. 1998; 18: 583609.[CrossRef][Medline] [Order article via Infotrieve]
6. Ostergaard L, Weisskoff RM, Chesler DA, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages, part I: mathematical approach and statistical analysis. Magn Reson Med. 1996; 36: 715725.[Medline] [Order article via Infotrieve]
7. Davis S, Tress B, Barber PA, Darby D, Parsons M, Gerraty R, Yang Q, Donnan G, Desmond P. Echoplanar magnetic resonance imaging in acute stroke. J Clin Neurosci. 2000; 7: 38.[CrossRef][Medline] [Order article via Infotrieve]
8. Astrup J, Siesjo BK, Symon L. Thresholds in cerebral ischemia: the ischemic penumbra. Stroke. 1981; 12: 723725.
9. Karonen JO, Vanninen RL, Liu Y, Ostergaard L, Kuikka JT, Nuutinen J, Vanninen EJ, Partanen PL, Vainio PA, Korhonen K, et al. Combined diffusion and perfusion MRI with correlation to single-photon emission CT in acute ischemic stroke: ischemic penumbra predicts infarct growth. Stroke. 1999; 30: 15831590.
10. Schlaug G, Benfield A, Baird AE, Siewert B, Lovblad KO, Parker RA, Edelman RR, Warach S. The ischemic penumbra: operationally defined by diffusion and perfusion MRI. Neurology. 1999; 53: 15281537.
11. Barber PA, Darby DG, Desmond PM, Yang Q, Gerraty RP, Jolley D, Donnan GA, Tress BM, Davis SM. Prediction of stroke outcome with echoplanar perfusion- and diffusion-weighted magnetic resonance imaging. Neurology. 1998; 51: 418426.
12. Parsons MW, Yang Q, Barber PA, Darby DG, Desmond PM, Gerraty RP, Tress BM, Davis SM. Perfusion magnetic resonance imaging maps in hyperacute stroke: relative cerebral blood flow most accurately identifies tissue destined to infarct. Stroke. 2001; 32: 15811587.
13. Thijs VN, Adami A, Neumann-Haefelin T, Moseley ME, Marks MP, Albers GW. Relationship between severity of MR perfusion deficit and DWI lesion evolution. Neurology. 2001; 57: 12051211.
14. Neumann-Haefelin T, Wittsack HJ, Wenserski F, Siebler M, Seitz RJ, Modder U, Freund HJ. Diffusion- and perfusion-weighted MRI: the DWI/PWI mismatch region in acute stroke. Stroke. 1999; 30: 15911597.
15. Desmond PM, Lovell AC, Rawlinson AA, Parsons MW, Barber PA, Yang Q, Li T, Darby DG, Gerraty RP, Davis SM, Tress BM. The value of apparent diffusion coefficient maps in early cerebral ischemia. AJNR Am J Neuroradiol. 2001; 22: 12601267.
16. Fiehler J, Foth M, Kucinski T, Knab R, von Bezold M, Weiller C, Zeumer H, Rother J. Severe ADC decreases do not predict irreversible tissue damage in humans. Stroke. 2002; 33: 7986.
17. Rohl L, Ostergaard L, Simonsen CZ, Vestergaard-Poulsen P, Andersen G, Sakoh M, Le Bihan D, Gyldensted C. Viability thresholds of ischemic penumbra of hyperacute stroke defined by perfusion-weighted MRI and apparent diffusion coefficient. Stroke. 2001; 32: 11401146.
18. Sorensen AG, Copen WA, Ostergaard L, Buonanno FS, Gonzalez RG, Rordorf G, Rosen BR, Schwamm LH, Weisskoff RM, Koroshetz WJ. Hyperacute stroke: simultaneous measurement of relative cerebral blood volume, relative cerebral blood flow, and mean tissue transit time. Radiology. 1999; 210: 519527.
19. 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: 15811587.
20. Hacke W, Kaste M, Fieschi C. Randomised double-blind placebo controlled trial of thrombolytic therapy with intravenous alteplase in acute ischaemic stroke (ECASS II). Lancet. 1998; 352: 12451251.[CrossRef][Medline] [Order article via Infotrieve]
21. Ostergaard L, Sorensen AG, Kwong KK, Weisskoff RM, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages, part II: experimental comparison and preliminary results. Magn Reson Med. 1996; 36: 726736.[Medline] [Order article via Infotrieve]
22. Powers WJ, Grubb RL, Jr., Darriet D, Raichle ME. Cerebral blood flow and cerebral metabolic rate of oxygen requirements for cerebral function and viability in humans. J Cereb Blood Flow Metab. 1985; 5: 600608.[Medline] [Order article via Infotrieve]
23. Heiss WD. Flow thresholds for functional and morphological damage of brain tissue. Stroke. 1983; 14: 329331.
24. Hossmann KA. Viability thresholds and the penumbra of focal ischemia. Ann Neurol. 1994; 36: 557565.[CrossRef][Medline] [Order article via Infotrieve]
25. Kidwell CS, Saver JL, Mattiello J, Starkman S, Vinuela F, Duckwiler G, Gobin YP, Jahan R, Vespa P, Kalafut M, Alger JR. Thrombolytic reversal of acute human cerebral ischemic injury shown by diffusion/perfusion magnetic resonance imaging. Ann Neurol. 2000; 47: 462469.[CrossRef][Medline] [Order article via Infotrieve]
26. Parsons MW, Barber PA, Chalk J, Darby DG, Rose S, Desmond PM, Gerraty RP, Tress BM, Wright PM, Donnan GA, Davis SM. Diffusion- and perfusion-weighted MRI response to thrombolysis in stroke. Ann Neurol. 2002; 51: 2837.[CrossRef][Medline] [Order article via Infotrieve]
27. Marler JR, Tilley BC, Lu M, Brott TG, Lyden PC, Grotta JC, Broderick JP, Levine SR, Frankel MP, Horowitz SH, et al. Early stroke treatment associated with better outcome: the NINDS rt-PA Stroke Study. Neurology. 2000; 55: 16491655.
28. Kaste M, for the ATLANTIS, ECASS and NINDS Study Group Investigators. Is there benefit after 3 hours? A pooled analysis of the ATLANTIS, ECASS and NINDS rtPA stroke trials. In: Program and abstracts of the Seventh Annual Conference on Thrombolysis and Acute Stroke Therapy; May 2729, 2002; Lyon, France. Abstract.
29. Yamada K, Wu O, Gonzalez RG, Bakker D, Ostergaard L, Copen WA, Weisskoff RM, Rosen BR, Yagi K, Nishimura T, Sorensen AG. Magnetic resonance perfusion-weighted imaging of acute cerebral infarction: effect of the calculation methods and underlying vasculopathy. Stroke. 2002; 33: 8794.
30. Weisskoff RM, Chesler D, Boxerman JL, Rosen BR. Pitfalls in MR measurement of tissue blood flow with intravascular tracers: which mean transit time? Magn Reson Med. 1993; 29: 553559.[Medline] [Order article via Infotrieve]
31. Lin W, Celik A, Derdeyn C, An H, Lee Y, Videen T, Ostergaard L, Powers WJ. Quantitative measurements of cerebral blood flow in patients with unilateral carotid artery occlusion: a PET and MR study. J Magn Reson Imaging. 2001; 14: 659667.[CrossRef][Medline] [Order article via Infotrieve]
32. Rempp KA, Brix G, Wenz F, Becker CR, Guckel F, Lorenz WJ. Quantification of regional cerebral blood flow and volume with dynamic susceptibility contrast-enhanced MR imaging. Radiology. 1994; 193: 637641.
33. Neumann-Haefelin T, Moseley ME, Albers GW. New magnetic resonance imaging methods for cerebrovascular disease: emerging clinical applications. Ann Neurol. 2000; 47: 559570.[CrossRef][Medline] [Order article via Infotrieve]
34. Calamante F, Gadian DG, Connelly A. Quantification of perfusion using bolus tracking magnetic resonance imaging in stroke: assumptions, limitations, and potential implications for clinical use. Stroke. 2002; 33: 11461151.
This article has been cited by other articles:
![]() |
R. E. Latchaw, M. J. Alberts, M. H. Lev, J. J. Connors, R. E. Harbaugh, R. T. Higashida, R. Hobson, C. S. Kidwell, W. J. Koroshetz, V. Mathews, et al. Recommendations for Imaging of Acute Ischemic Stroke: A Scientific Statement From the American Heart Association Stroke, November 1, 2009; 40(11): 3646 - 3678. [Full Text] [PDF] |
||||
![]() |
M. B. Maas, K. L. Furie, M. H. Lev, H. Ay, A. B. Singhal, D. M. Greer, G. J. Harris, E. Halpern, W. J. Koroshetz, and W. S. Smith National Institutes of Health Stroke Scale Score Is Poorly Predictive of Proximal Occlusion in Acute Cerebral Ischemia Stroke, September 1, 2009; 40(9): 2988 - 2993. [Abstract] [Full Text] [PDF] |
||||
![]() |
A.A. Konstas, G.V. Goldmakher, T.-Y. Lee, and M.H. Lev Theoretic Basis and Technical Implementations of CT Perfusion in Acute Ischemic Stroke, Part 2: Technical Implementations AJNR Am. J. Neuroradiol., May 1, 2009; 30(5): 885 - 892. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. W. Parsons, F. Miteff, G. A. Bateman, N. Spratt, A. Loiselle, J. Attia, and C. R. Levi Acute ischemic stroke: Imaging-guided tenecteplase treatment in an extended time window Neurology, March 10, 2009; 72(10): 915 - 921. [Abstract] [Full Text] [PDF] |
||||
![]() |
J.M. Provenzale, K. Shah, U. Patel, and D.C. McCrory Systematic Review of CT and MR Perfusion Imaging for Assessment of Acute Cerebrovascular Disease AJNR Am. J. Neuroradiol., September 1, 2008; 29(8): 1476 - 1482. [Abstract] [Full Text] [PDF] |
||||
![]() |
I. Kane, T. Carpenter, F. Chappell, C. Rivers, P. Armitage, P. Sandercock, and J. Wardlaw Comparison of 10 Different Magnetic Resonance Perfusion Imaging Processing Methods in Acute Ischemic Stroke: Effect on Lesion Size, Proportion of Patients With Diffusion/Perfusion Mismatch, Clinical Scores, and Radiologic Outcomes Stroke, December 1, 2007; 38(12): 3158 - 3164. [Abstract] [Full Text] [PDF] |
||||
![]() |
I Kane, P Sandercock, and J Wardlaw Magnetic resonance perfusion diffusion mismatch and thrombolysis in acute ischaemic stroke: a systematic review of the evidence to date J. Neurol. Neurosurg. Psychiatry, May 1, 2007; 78(5): 485 - 491. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. W. Parsons, E. M. Pepper, G. A. Bateman, Y. Wang, and C. R. Levi Identification of the penumbra and infarct core on hyperacute noncontrast and perfusion CT Neurology, March 6, 2007; 68(10): 730 - 736. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. S. Butcher, S. B. Lee, M. W. Parsons, L. Allport, J. Fink, B. Tress, G. Donnan, S. M. Davis, and for the EPITHET Investigators Differential Prognosis of Isolated Cortical Swelling and Hypoattenuation on CT in Acute Stroke Stroke, March 1, 2007; 38(3): 941 - 947. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. Bandera, M. Botteri, C. Minelli, A. Sutton, K. R. Abrams, and N. Latronico Cerebral Blood Flow Threshold of Ischemic Penumbra and Infarct Core in Acute Ischemic Stroke: A Systematic Review Stroke, May 1, 2006; 37(5): 1334 - 1339. [Abstract] [Full Text] [PDF] |
||||
![]() |
C.S. Rivers, J.M. Wardlaw, P.A. Armitage, M.E. Bastin, T.K. Carpenter, V. Cvoro, P.J. Hand, and M.S. Dennis Do Acute Diffusion- and Perfusion-Weighted MRI Lesions Identify Final Infarct Volume in Ischemic Stroke? Stroke, January 1, 2006; 37(1): 98 - 104. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. J. Seitz, S. Meisel, P. Weller, U. Junghans, H.-J. Wittsack, and M. Siebler Initial Ischemic Event: Perfusion-weighted MR Imaging and Apparent Diffusion Coefficient for Stroke Evolution Radiology, December 1, 2005; 237(3): 1020 - 1028. [Abstract] [Full Text] [PDF] |
||||
![]() |
P.-S. Loh, K. S. Butcher, M. W. Parsons, L. MacGregor, P. M. Desmond, B. M. Tress, and S. M. Davis Apparent Diffusion Coefficient Thresholds Do Not Predict the Response to Acute Stroke Thrombolysis Stroke, December 1, 2005; 36(12): 2626 - 2631. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. G. Na, E. Y. Kim, J. W. Ryoo, K. H. Lee, H. G. Roh, S. S. Kim, I. C. Song, and K.-H. Chang CT Sign of Brain Swelling without Concomitant Parenchymal Hypoattenuation: Comparison with Diffusion- and Perfusion-weighted MR Imaging Radiology, June 1, 2005; 235(3): 992 - 948. [Abstract] [Full Text] [PDF] |
||||
![]() |
K.S. Butcher, M. Parsons, L. MacGregor, P.A. Barber, J. Chalk, C. Bladin, C. Levi, T. Kimber, D. Schultz, J. Fink, et al. Refining the Perfusion-Diffusion Mismatch Hypothesis Stroke, June 1, 2005; 36(6): 1153 - 1159. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Kucinski, D. Naumann, R. Knab, V. Schoder, S. Wegener, J. Fiehler, A. Majumder, J. Rother, and H. Zeumer Tissue at Risk Is Overestimated in Perfusion-Weighted Imaging: MR Imaging in Acute Stroke Patients without Vessel Recanalization AJNR Am. J. Neuroradiol., April 1, 2005; 26(4): 815 - 819. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. Hjort, K. Butcher, S.M. Davis, C.S. Kidwell, on behalf of the UCLA Thrombolysis Investigators, W.J. Koroshetz, J. Rother, P.D. Schellinger, S. Warach, and L. Ostergaard Magnetic Resonance Imaging Criteria for Thrombolysis in Acute Cerebral Infarct Stroke, February 1, 2005; 36(2): 388 - 397. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. S. Butcher, T. Baird, L. MacGregor, P. Desmond, B. Tress, and S. Davis Perihematomal Edema in Primary Intracerebral Hemorrhage Is Plasma Derived Stroke, August 1, 2004; 35(8): 1879 - 1885. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Warach and J.-C. Baron Neuroimaging Stroke, February 1, 2004; 35(2): 351 - 353. [Full Text] [PDF] |
||||
![]() |
K. S. Butcher, M. W. Parsons, S. Davis, G. Donnan, S. B. Coutts, J. E. Simon, A. M. Demchuk, R. Frayne, and J. R. Mitchell PWI/DWI Mismatch: Better Definition Required * Response Stroke, November 1, 2003; 34 (11): e215 - e216. [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Stroke Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2003 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |