(Stroke. 2000;31:2723.)
© 2000 American Heart Association, Inc.
Comments, Opinions, and Reviews |
From the Department of Clinical Neurosciences, Western General Hospital NHS Trust, Edinburgh, UK.
Correspondence to Dr S. Keir, Department of Clinical Neurosciences, Western General Hospital NHS Trust, Bramwell Dott Building, Crewe Road, Edinburgh EH4 2XU, UK. E-mail slk{at}skull.dcn.ed.ac.uk
| Abstract |
|---|
|
|
|---|
MethodsA systematic review of studies of MR diffusion-weighted imaging (DWI), perfusion imaging (PI), or a combination of the two, in human stroke, excluding abstracts and case reports. One reviewer extracted information on the size of each study, its main purpose, methodological details, and results.
ResultsWe identified 47 studies of DWI, 18 studies of MR PI alone or in combination with another advanced imaging modality, and 19 studies of DWI and PI together. Although high proportions of the studies were prospective and gave good details of the imaging sequences used, the majority gave very limited details on patient selection and clinical characteristics or blinded imaging assessment. Pathophysiological changes were inferred from DWI/PI patterns that were not supported by other data.
ConclusionsDespite considerable enthusiasm for and promise of these techniques, there is not sufficient information available in these studies to enable us to draw firm conclusions about the sensitivity and specificity of these techniques for identification of either ischemic lesions not visible by other means or salvageable tissue. Future studies should include larger numbers of carefully described patients, assess the contribution of DWI over and above other imaging, obtain follow-up at an appropriate time interval to determine accurate clinical and neuroradiological outcomes, and assess DWI/PI abnormality with reperfusion in randomized treatment trials. Investigators should also be encouraged to combine their individual patient data in meta-analyses to obtain a more robust assessment of the value of DWI and PI from larger sample sizes.
Key Words: magnetic resonance imaging, diffusion-weighted magnetic resonance imaging, perfusion-weighted stroke, acute stroke, ischemic
| Introduction |
|---|
|
|
|---|
DWI works on the principle that sensitizing a standard MR image to diffusion weighting identifies regions of abnormal water movement, occurring very early after onset of ischemia, resulting in increased (bright) signal intensity.5 It is thought that visualization of lesions at such an early stage might identify patients before acute stroke treatment. The degree of water movement abnormality (or tissue injury) may be quantified by calculating the apparent diffusion coefficient (ADC).2
PI can detect hypoperfused regions of brain either by monitoring the transit of a rapidly injected contrast agent6 or magnetically tagged water molecules in arterial blood7 through the brain. In regions distal to an arterial occlusion, the arrival of the contrast agent or tagged water molecules may be delayed. The resulting signal-time curve can be converted into a concentration-time curve, from which several functions that describe regional perfusion can be determined.
Combining DWI and PI may enable visualization of the abnormal area soon after the onset of symptoms (previously, one would expect CT or T2-weighted MR to show an infarct) and provide information that may discriminate dead from still-recoverable brain. In hyperacute stroke treatment, this could help identify which patients are most likely to benefit from potentially risky treatments.
A study to investigate a new imaging procedure should give clear details of its aim, the definition and characterization of its study population (eg, severity and type of ischemic stroke), the technical details of the imaging tests, whether the analysis was prospective or retrospective, how the images were analyzed and read, and whether the reading was blinded to clinical details and other imaging. If comparisons within the study population are made, an objective statistical analysis should be used to compare the populations with a null hypothesis being clearly stated. Thus, before we can establish the role of these advanced imaging techniques, we need to be confident that studies have demonstrated the efficacy, feasibility, and the reliability of the information so derived and that they do indeed identify patients for specific reasons not possible by other means. We therefore undertook a systematic review of all published studies of DWI, PI, or both in patients with stroke to see how well the above criteria had been met, what information had been obtained so far on patient characterization and acute stroke treatment guidance, and where more information on DWI and PI might be needed, and so where future research with DWI and PI should be directed.
| Methods |
|---|
|
|
|---|
Search Strategy
We searched for all published articles on DWI, PI, or a
combination of the two in the English and non-English language
literature in MEDLINE and EMBASE from October 31, 1999, back to the
earliest studies available (using the search terms "diffusion
weighted," "perfusion weighted," "dynamic susceptibility,"
"hemodynamically weighted," expanded to maximize
the number of hits, and combined these with the Cochrane library search
strategy for stroke,8 hand-searched 6 relevant journals
(Stroke, Radiology, American Journal of
Neuroradiology, American Journal of
Roentgenology, Magnetic Resonance in Medicine, Journal of Magnetic
Resonance Imaging) from November 1999 to January 2000, and
examined reference lists in the identified articles.
Inclusion criteria: published studies in which DWI, PI, or both in combination had been conducted in humans with stroke. We excluded case reports and studies that had so far only appeared in abstract form. Where there was any doubt about the inclusion or exclusion of a study, the paper was discussed and a consensus opinion was reached.
Data Extraction and Analysis
One reviewer (S.K.) extracted information on the sample size of
each study, its main purpose (ie, use of imaging to predict outcome,
technical development of the imaging technique, comparison with another
imaging technique), the time window from onset of stroke symptoms to
imaging, how the diagnosis of stroke had been made and by whom (ie,
stroke physician, neurologist, general physician, or not stated), the
patient inclusion criteria, whether the patients had received any
stroke treatment and whether this was randomized, the DWI or PI
scanning method, the image analysis method, whether
interpretation of diffusion or perfusion images was blinded to clinical
details and the results of other imaging modalities, whether any
patients had been imaged but then excluded from further
analysis and why, whether any data on clinical outcome had been
collected and at what time after stroke, and the overall conclusion of
the study.
Analysis
The extracted information was entered into an ACCESS database
and assessed with descriptive statistics.
| Results |
|---|
|
|
|---|
General Methodological Details of All Studies
Sample populations ranged from 3 to 224 patients. In these
studies, although the technical information on the imaging sequences
was good, the information on general methodological details (blinding,
patient selection and exclusions, and the proportion of uninterpretable
scans) was limited, and generally these details were not mentioned. For
instance, in the DWI-only studies, only 9 of 47 (<20%) mentioned that
scans were interpreted by researchers blinded to clinical details or
other imaging,10 11 12 13 14 15 16 17 18 and only 6 (13%) gave specific
details on patient inclusions and
exclusions.10 16 17 19 20 21 Only 9 studies gave details on
the number (and reasons for) inadequate scans that were excluded from
further analysis,16 17 19 21 22 23 24 25 26 although it is
likely that patients with poor-quality scans were excluded from the
analysis in other studies. There were no details in any of the
studies on patient tolerability of the investigation (Figures 1
, 2
, and 3
).
|
|
|
Studies of DWI Alone
The 47 studies of DWI had the following primary purposes (some
studies had >1 primary purpose): technical development of the imaging
sequence or analysis method (17 studies); change in visibility
of lesions on DWI or ADC over time (6 studies); correlation of DWI with
measures of neurological severity (2 studies); comparison with CT or T2
MR to see whether DWI showed more lesions (11 studies); distinguishing
old from new lesions (6 studies); use of DWI to demonstrate
ischemic lesions in patients with TIA or lacunar stroke (4
studies); and feasibility of DWI in acutely ill patients (6 studies).
Two studies addressed identification of hemorrhage on DWI and 1
addressed the important issue of negative DWI in patients with
strokelike deficits.27 These will be described in
turn.
Seventeen (36%) studies (total n=567) investigated DWI techniques or refinements of techniques of image acquisition or processing, or methods of calculation of the apparent diffusion coefficient (ADC).14 16 19 22 23 24 26 28 29 30 31 32 33 34 35 36 37 No useful comparisons could be made between them, as they all covered different technical aspects of the imaging and mentioned little about the type of patients included.
Six (13%) studies (including a total of 564 patients) studied the visibility of DWI lesions or changes in ADC values over time. One study repeatedly scanned the majority of the patients in the study21 and found reduced ADC values up to 85 days after stroke. In the rest of the studies, the proportion of patients who had repeated scanning was much more limited38 39 40 or impossible to determine.15 41 In these studies, the time over which the DWI lesion remained visible was inferred by using scans of different patients at different time points, rather than repeated imaging of the same patient. Using only "snapshots" of different individual patients means that it is difficult to be precise about when a particular lesion may disappear, or an ADC value change.
Two (4%) studies (including 92 patients) investigated the correlation of early DWI (within 2412 and 6017 hours) with measures of clinical stroke severity at the time of imaging and at either 317 or 42 weeks.12 Both studies demonstrated that acute lesion volumes on DWI correlated with the National Institutes of Health Stroke Scale (NIHSS) scores both acutely and at follow-up. In both studies, images were read blinded to clinical details, and in one17 to initial T2 MR. However, as infarction visualized on all imaging modalities tested so far correlates with stroke severity, knowledge that DWI also correlates does not add significantly to the body of knowledge.
Eleven (23%) studies (total n=399) suggested that DWI demonstrated more lesions in the symptomatic anatomical area at an earlier time point than did conventional imaging. Although one study directly compared CT and DWI10 (n=17), the majority of studies compared DWI to conventional MR.15 18 25 40 42 43 44 45 46 47 All of these studies indicated that more lesions were visible on DWI than on conventional imaging: in 5 studies, within 6 hours or less,10 15 40 43 45 in 2 studies within 48 hours,44 46 in 2 studies within 4 days,18 42 and in 1 study "the time period under investigation" (8 hours to 12 days).25 In only 2 of the studies the scans were read by observers blind to clinical details,15 18 in only 1 study blind to other imaging,43 and in only 1 the observers were blind to both clinical details and other imaging,10 ie, in fewer than one third of studies purporting to show that DWI was better than conventional imaging was an attempt made to reduce bias by blinding the DWI interpretation. None mentioned whether an attempt was made to randomize the order in which the DWI and conventional imaging were performed or stated the order in which imaging was actually performed (ie, whether DWI was always performed after conventional imaging, in which case DWI would always be likely to show more lesions, or vice versa). The sample sizes in these studies ranged from 9 to 103 patients, which is too small to determine accurately the benefit of DWI. The proportion of patients in which DWI was felt to be superior to conventional MR ranged widely, from 5% to 71%. In 1 study it was impossible to define in how many patients DWI had proved to be superior.47
Six of 399 studies (13%) found that in patients with multiple lesions demonstrated on MR, it was possible to distinguish new from old lesions with DWI, with the acute lesion appearing hyperintense and the old hypointense on the DWI.16 18 25 41 48 49 Timing of scanning from onset of symptoms ranged from less than seven hours to 11 days. In only 2 studies were the scans read blinded to clinical details.16 18 The proportion of patients in which DWI was said to distinguish new from old lesions better than did conventional MR ranged from four to 15 out of about 220 patients with multiple lesions, ie, less than 10% of the total number of patients included.
Four (8%) studies (n=159) concentrated on the clinicotopography of a specific stroke subtype such as lacunar stroke13 45 18 or transient ischemic attack.50 The studies concentrating on lacunar symptoms demonstrated that DWI could identify appropriate subcortical areas of ischemia. The one study concerned with transient ischemic attacks demonstrated that 48% of patients whose symptoms resolved within 24 hours had relevant lesions on DWI within 24 hours of symptom onset. Patients whose symptoms resolved by 24 hours had smaller and less obvious lesions on DWI than patients whose symptoms had lasted longer.50 Nonetheless, as with CT scanning,51 this means that DWI cannot be used to discriminate between symptoms that will turn out to be TIAs and those that will turn out to be strokes.
Six (13%) studies (n=518), two of which were retrospective analyses, addressed the feasibility of undertaking an advanced imaging protocol in acutely ill stroke patients and suggested that it was possible.20 26 32 42 46 50 None of the imaging was read blinded, which is clinically realistic, but data on patient inclusion and exclusions, as well as clinical characteristics was often limited, ie, information to identify patients who would be poor subjects for DWI was not given. Two studies (which included 20 patients with cerebral hemorrhage) demonstrated that it was possible to identify acute hemorrhage, a subset of patients previously thought to present difficulty on DWI,52 53 although as neither study was blinded to other imaging results, the validity of this conclusion must be questioned.
One retrospective study (n =27) raised the important issue of patients with strokelike deficits and negative DWI imaging27 and explained that specificity had not been addressed because their entire (and substantial) case series (782 patients) had not been reviewed. Such a task would indeed have been a major undertaking, but it would have given us information on sensitivity and specificity of DWI with an accuracy that smaller studies which have attempted to address this issue18 have not achieved. Other studies have attempted to define specificity and sensitivity of DWI,20 43 but selection bias make it difficult to extrapolate these values to the general population with strokelike symptoms.
Studies of PI Alone
One of the 14 studies of PI alone attempted to evaluate the
clinical usefulness of PI54 (n=15); the other 13
studies (n=183) concentrated on the technical aspects of demonstrating
abnormalities of regional cerebral perfusion.6 7 55 56 57 58 59 60 61 62 63 64 65
All but 1,64 which attempted to quantify the
arterial input function (a constant required for the
calculation of absolute blood flow), assessed relative rather than
absolute cerebral blood flow. All studies used the gadolinium bolus
tracking method of measuring blood transit time. A variety of perfusion
abnormalities were demonstrated; 1 study56 (n=11) noted a
heterogeneous distribution of rCBF in the expected regions
of interest in all examinations; 36 7 55 (n=16 to n=34)
documented hyperperfusion as well as delayed or absent perfusion in the
region of interest; and 154 (n=11) documented no perfusion
deficits in 4 of the 11 subjects despite marked clinical signs and
repeat MR within 48 hours confirming infarction.
Of the 4 studies that combined MR PI with another advanced imaging modality, perfusion MRI was correlated with SPECT findings in 366 67 68 and with xenon CT in 1.69 All found that MR perfusion techniques correlated well with the perfusion deficit demonstrated on these other modalities. Sample sizes were small, and it was not made clear whether perfusion images were read by researchers blinded to other forms of imaging.
DWI and PI in Combination
Nineteen studies were identified, with a total sample size
of 563 (median 21). The main purpose of 3 of the studies was to
document the clinicotopography of the combined
imaging70 71 72 ; one of these71 documented
important data on the variety of patterns of DWI and PI seen. However,
sample size was small, and it was not clear whether DWI and PI were
read with blinding to clinical details. One study compared the
combination to CT in relation to acute determination of
intracerebral hemorrhage,73 but no
details were given about whether the DWI was read with blinding to the
CT. One study set out to determine the clinical feasibility of a
combined protocol74 ; the resulting data were very
encouraging with respect to the speed of the process but were lacking
in patient clinical characteristics and, importantly, the proportion of
patients the imaged group represented in relation to the
total number of patients with stroke symptoms presenting to the
study hospital.
Fourteen studies (74%; total sample size 316) were mainly concerned with the use of DWI/PI in predicting either the final size of infarct on conventional imaging75 76 77 78 79 80 or final infarct size and clinical outcome.81 82 83 84 85 86 87 88 The median sample size was 20 patients, and 4 of these studies reported inclusion of patients from previously published papers. Follow-up imaging was performed between 3 and 277 (median 8) days after initial scanning. Note that if "final infarct size" is measured at approximately 7 days or less, the infarct will be edematous and the mass effect will lead to overestimation of infarct size89 ; at approximately 10 to 21 days, "fogging"90 obscures the infarct and so will lead to an underestimation of infarct size; and at 2 to 6 months, atrophy and ex vacuo effect will lead to underestimation of infarct size. Thus, timing is crucial for assessment of final infarct size, and many studies used too early a time point. Those that used later time points did not make clear whether ex vacuo effects were taken into account.
Varying patterns of "mismatch" between lesion extent on DWI and PI were seen and opinions given as to what these patterns represented. When PI lesions were larger than DWI, investigators inferred that a larger area of brain was under threat of ischemia than that outlined by the DWI lesion, ie, an ischemic penumbra. When DWI lesions were larger than PI lesions, or no associated PI lesion was visible, the investigators inferred that a degree of reperfusion had occurred but that an area of permanent damage, represented by the DWI lesion, had already occurred. When no DWI lesion was visible in the presence of a PI deficit, the investigators inferred that there was an acute arterial occlusion but no ischemic damage at the time of imaging.84 Eleven studies (n=225) used MR angiography in their imaging protocols as well as PI and DWI, some of which helped to support the findings of the PI by demonstrating an appropriately occluded artery71 72 73 77 78 80 82 83 84 85 87 ; otherwise, there was no objective way in any of the studies for substantiating the "mismatch" theory. It is difficult to judge how robust the mismatch theory is, because the proportion of patients in whom the lesion had behaved as predicted on the follow-up imaging (ie, where PI>DWI, the area of ischemia on the follow-up scan increased in size) varied from 100%78 to only 56%.87
Three of the studies that compared DWI/PI with final infarct size commented on the nature of the lesion visualized by DWI. Opinions varied; 1 study75 implied that the DWI lesion was infarcted tissue, another stated that "DWI lesions do not reflect closely the extent of functionally compromised tissue,"84 and another76 stated that diffusion abnormalities indicated reversible and irreversible ischemia. However, it was not clear on what evidence these statements were based.
In the 9 studies that related DWI/PI patterns to clinical outcome (n=219), clinical follow-up ranged from 1 to 90 days after stroke. The scales used varied, the most common being the NIHSS, which is a measure of neurological deficit and not functional outcome.75 81 82 85 86 88 Lesion size on acute DWI or PI correlated with final clinical outcome using the NIHSS, the Canadian Neurological Scale (CNS),83 84 and the European Stroke Scale (ESS).87 Because previous studies have shown that lesion size on imaging (eg, CT) correlated well with stroke severity, neurological deficit, and clinical outcome, it is hardly surprising that DWI/PI also correlates. The key question is what does DWI/PI add over and above any information already known from previously available imaging?
| Discussion |
|---|
|
|
|---|
We had hoped to determine the sensitivity and specificity of DWI for identifying acute ischemic lesions and of DWI/PI for identifying salvageable tissue, but that was not possible from the given data. Although it is likely that DWI is more sensitive to acute ischemic stroke than conventional MR or CT, sample sizes were so small, or insufficient details of clinical features, inclusion and exclusion criteria, and unsuccessful examinations were given to enable an accurate estimation of efficacy to be made. As the results of this systematic review show, publications in this field so far tend not to include important methodological details and so may be leading stroke researchers into jumping to conclusions not supported by the data. In many studies, the advanced imaging was not read blinded to the more routine imaging, and there were no details on the order in which imaging was performed. In the studies comparing DWI with conventional MR, if DWI was always performed after conventional imaging (as with studies to date that have compared conventional MR with CT91 ), it is likely DWI would always show more lesions. There was little information on patients unable to complete DWI or PI, and most studies lacked clinical details of patient selection and case mix, with the latter information being very important for several reasons.
First, some conditions that mimic stroke clinically can also manifest abnormalities on DWI.25 92 93 Few studies mentioned whether any of their prospectively identified patients later turned out not to have had a strokethough it would be unusual, in a prospective sample even as small as 40, not to find the occasional patient thought initially to have had a stroke who turned out to have a nonvascular cause of the symptoms.94 Conversely, the study by Ay et al27 and other case reports95 96 have highlighted the potential for DWI to be negative in patients with ischemic stroke. Although PI may be of some use in these patients, clarification about this issue is sorely needed.
Second, because stroke is a heterogeneous condition and the case mix of patients is likely to differ between hospitals (even within a small geographical area), this will have led to differences between studies in the type of stroke patients included. However, unless sufficient details of the patients clinical characteristics at baseline (eg, age, gender, some measure of neurological deficit, prestroke morbidity) and clinical status at a recognized, valid outcome point (eg, 3 months) by a validated outcome score are given, it is impossible to gauge the generalizability of the individual study results and hence the relevance to the stroke population in general. One month after stroke is far too early to determine clinical outcome and still too early for radiological outcome. There may still be either swelling (overestimating final infarct size) or fogging (grossly underestimating final infarct size). In fact, use of any radiological outcome is difficult if a volume measure or image coregistration are used, because (in addition to swelling and fogging) loss of volume in the affected area and ex vacuo effects in surrounding tissues from 4 to 6 weeks onward89 will lead to underestimation of final infarct volume.
Third, the clinical severity of the stroke is a profound determinant of clinical outcome. It correlates strongly with the site and extent of the lesion on CT and structural MR and therefore must be taken into consideration when any new imaging techniques are described. Most studies failed to do this adequately: the NIHSS (the most frequently used neurological score) captures part, but by no means all, of the severity of the patients stroke; ie, it predicts a proportion but by no means all of the patients outcome. Stroke severity must be fully adjusted before any additional information contributed by an imaging technique to the identification of particular patients, or the determination of outcome, can be identified.97 Stroke severity also influences the time to admission to hospital (patients with severe strokes are admitted sooner after stroke than those with milder strokes98 ) and hence will influence the time to imaging. This, in turn, will probably influence the ADC values found in individual patients. The influence of stroke severity cannot be overemphasized: failure to take account of it may have contributed to perceived differences between studies that compared ADC changes over time in which "snapshots" of different patients at different times were used instead of the same patients scanned serially at different times. A similar effect most probably affects the findings in studies of DWI with PI, in which the proportion of patients with diffusion/perfusion mismatch and its size will depend on the severity of stroke and the time delay to imaging.
Although many studies gave ample details of the imaging sequences used, there are problems with the precise DWI or PI parameters to be measured, moreso with PI. Most MR PI techniques measure relative and not absolute perfusion changes, and positron emission tomography studies have demonstrated drawbacks with this approach.99 Relative perfusion values may not precisely demonstrate which tissue is at greatest risk of infarction, added to which is the unresolved debate about the best parameter of the PI curve to use in the analysis. Attempting to ascribe a physiological mechanism to PI findings on the basis of our current knowledge is to risk mistaking association for causation. Very detailed analysis of small data sets (eg, 30 patients) may be used to generate hypotheses to test in new studies. However, conclusions from such analyses are data dependent in themselves, and placing too much reliance on the results might be misleading,100 particularly in the absence of any spontaneous or pharmacologically induced tissue recovery to identify which tissue actually is salvageable. An example of this type of error approximately 10 years ago was the overemphasis of the association between hemorrhagic transformation and cardioembolic stroke. Then, it was incorrectly assumed that cardioembolic stroke caused hemorrhagic transformation, because of an observed association, when in fact the size of the infarct rather than the mechanism per se was responsible.101 102
In all cases, particularly in studies of DWI with PI so far, the sample size has been small. Our totals may overestimate the true number imaged, because some patients were included in several different publications. Small sample size makes the studies vulnerable to the play of chance in the mix of patients included and the study results. Examples of how profound an effect the play of chance can have can be found in the systematic review of early trials of thrombolysis for acute myocardial infarction103 (in which studies with sample sizes up to several hundred had diametrically opposite results) and in an exercise to demonstrate the effect of chance on small sample sizes (DICE [Dont Ignore Chance Effects] therapy).104 Investigators should be encouraged to combine their existing individual patient data from different individual studies and participate in new multicenter studies whenever possible, thereby achieving much larger sample sizes and overcoming some of the case-mix problems outlined above. The numbers of patients required to obtain more robust data on the efficacy of DWI and/or PI in individual studies are not large, however. Only 84 patients would be required to show (with 90% power) that DWI demonstrated lesions in 90%, as opposed to CT showing lesions in 60% of patients.
Finally, acutely ill patients are poor MR subjects: they are restless, they may be confused and unable to lie still for prolonged scan times, and observing their clinical state is difficult. Lying supine when the ability to protect the airway is impaired increases the risk of aspiration (roughly 50% of all stroke patients have acutely impaired swallowing reflex). DWI and PI have to genuinely provide information over and above that which is readily available on a plain CT, and which alters clinical management, and this information has to outweigh any loss of treatment efficacy resulting from added time delay to start of treatment, if their incorporation into patient management is to be justified. Such a balance has not yet been studied.
So, where do we go from here? Larger studies of DWI with PI are needed, with clear patient clinical details (inclusions, exclusions, and failures), blinding of analyses, valid clinical outcome measures, and comparison with a routine imaging such as CT so that an assessment of added clinical value can be made. Patient status during imaging should be assessed to identify adverse events, such as hypoxia, which could then be treated or avoided. DWI/PI should be evaluated in randomized trials of new or existing acute stroke treatments because that will continue to increase the knowledge pool on the practical application of complex imaging, and only then will we actually find out which tissue is still viable and recoverable and which is not. Then and only then will we know, when faced with an individual acute stroke patient, at a certain time after the stroke, with particular clinical features and appearances on DWI/PI, what the best clinical management will be.
| Acknowledgments |
|---|
Received April 4, 2000; revision received June 26, 2000; accepted June 30, 2000.
| References |
|---|
|
|
|---|
2. Provenzale JM, Sorensen AG. Diffusion-weighted MR imaging in acute stroke: theoretic considerations and clinical applications. AJNR Am J Neuroradiol.. 1999;173:14591467.
3.
Yuh WTC. The need for objective assessment of the
new imaging techniques and understanding the expanding roles of stroke
imaging. AJNR Am J Neuroradiol.. 1999;20:17791784.
4.
Powers WJ, Zivin J. Magnetic resonance imaging in
acute stroke: not ready for prime time. Neurology.. 1998;50:842843.
5.
Le Bihan D, Breton D, Lallemand D, Grenier P,
Cabanis E, Laval-Jeantet M. MR imaging of intravoxel incoherent
motions: application to diffusion and perfusion in neurological
disorders. Radiology.. 1986;161:401407.
6.
Edelman RR, Mattle HP, Atkinson DJ, Hill T, Finn JP,
Mayman C. Cerebral blood flow: assessment with dynamic
contrast-enhanced T2-weighted MR imaging at 1.5 T.
Radiology.. 1990;176:211220.
7.
Siewert B, Schlaug G, Edelman RR, Warach S.
Comparison of EPISTAR and T2*-weighted gadolinium-enhanced perfusion
imaging in patients with acute cerebral ischemia.
Neurology.. 1997;48:6739.
8. Cochrane Stroke Group Search Strategy for Specialised Register. The Cochrane Library, issue 1, 2000. Oxford, UK: Update Software.
9. White PM, Wardlaw JM, Easton VE. Can non-invasive imaging tests accurately detect intracranial aneurysms? A systematic review. Radiology. In press.
10.
Barber PA, Darby DG, Desmond PM, Gerraty RP, Yang Q,
Li T, Jolley D, Donnan GA, Tress BM, Davis SM. Identification of major
ischemic change: diffusion-weighted imaging versus computed
tomography. Stroke.. 1999;30:20592065.
11.
Muller M, Reiche W, Langenscheidt P, Hassfeld J,
Hagen T. Ischaemia after carotid endarterectomy:
comparison between transcranial doppler sonography and
diffusion-weighted MR imaging. AJNR Am J Neuroradiol.. 2000;21:4754.
12. Lovblad KO, Baird AE, Schlaug G, Benfield A, Siewert B, Voetsch B, Connor A, Burzynski C, Edelman RR, Warach S. Ischemic lesion volumes in acute stroke by diffusion-weighted magnetic resonance imaging correlate with clinical outcome. Ann Neurol.. 1997;42:164170.[Medline] [Order article via Infotrieve]
13.
Schonewille WJ, Tuhrim S, Singer MB, Atlas SW.
Diffusion-weighted MRI in acute lacunar syndromes: a clinical-
radiological correlation study. Stroke.. 1999;30:20662069.
14. Chong J, Aragao F, Singer MB, Schonewille WJ, Silvers A, Tuhrim S. Diffusion-weighted MR of acute cerebral infarction: comparison of data processing methods. AJNR Am J Neuroradiol.. 1998;19:17331739.[Abstract]
15.
Warach S, Chien D, Li W, Ronthal M, Edelman RR. Fast
magnetic resonance diffusion-weighted imaging of acute human stroke.
Neurology.. 1992;42:17171723.
16. Geijer B, Brockstedt S, Lindgren A, Stahlberg F, Norrving B, Holtas S. Radiological diagnosis of acute stroke: comparison of conventional MR imaging, echo-planar diffusion-weighted imaging, and spin-echo diffusion-weighted imaging. Acta Radiol.. 1999;40:255262.[Medline] [Order article via Infotrieve]
17.
van Everdingen KJ, van der Grond J, Kappelle LJ,
Ramos LM, Mali WP. Diffusion-weighted magnetic resonance imaging in
acute stroke. Stroke.. 1998;29:17831790.
18.
Singer MB, Chong J, Lu D, Schonewille WJ, Tuhrim S,
Atlas SW. Diffusion-weighted MRI in acute subcortical infarction.
Stroke.. 1998;29:133136.
19.
Marks MP, de Crespigny A, Lentz D, Enzmann DR, Albers
GW, Moseley ME. Acute and chronic stroke: navigated spin-echo
diffusion-weighted MR imaging. Radiology.. 1996;199:403408.
20. Lovblad KO, Laubach HJ, Baird AE, Curtin F, Schlaug G, Edelman RR, Warach S. Clinical experience with diffusion-weighted MR in patients with acute stroke. AJNR Am J Neuroradiol.. 1998;19:10611066.[Abstract]
21.
Yang Q, Tress BM, Barber PA, Desmond PM, Darby DG,
Gerraty RP, Li T, Davis SM. Serial study of apparent diffusion
coefficient and anisotropy in patients with acute stroke.
Stroke.. 1999;30:23822390.
22. Lovblad KO, Jakob PM, Chen Q, Baird AE, Schlaug G, Warach S, Edelman RR. Turbo spin-echo diffusion-weighted MR of ischemic stroke. AJNR Am J Neuroradiol.. 1998;19:201208.[Abstract]
23. de Crespigny AJ, Marks MP, Enzmann DR, Moseley ME. Navigated diffusion imaging of normal and ischemic human brain. Magn Reson Med.. 1995;33:720728.[Medline] [Order article via Infotrieve]
24.
Maier SE, Gudbjartsson H, Patz S, Hsu L, Lovblad KO,
Edelman RR, Warach S, Jolesz FA. Line scan diffusion imaging:
characterization in healthy subjects and stroke patients. AJR
Am J Roentgenol.. 1998;171:8593.
25. Bartylla K, Hagen T, Globel H, Jost V, Schneider G. Diffusion-weighted magnetic resonance imaging for demonstration of cerebral infarcts. Radiologe.. 1997;37:859864.[Medline] [Order article via Infotrieve]
26. Lovblad KO, Remonda L, Heid O, Schneider J, Gonner F, Schroth G. Clinical single-shot diffusion-weighted MRI of the human brain on a short-bore medium-filed imager. Neuroradiology.. 1999;41:889894.[Medline] [Order article via Infotrieve]
27.
Ay H, Buonanno FS, Rordorf G, Schaefer PW, Schwamm
LH, Wu O, Gonzalez RG, Yamada K, Sorensen GA, Koroshetz WJ. Normal
diffusion-weighted MRI during stroke-like deficits.
Neurology.. 1999;52:17841792.
28.
Nagesh V, Welch KMA, Windham JP, Levine SR, Hearshen
D, Peck D, Robbins K, DOlhaberriague L, Soltanian-Zadeh H, Boska MD.
Time course of ADCw changes in ischemic
stroke: beyond the human eye! Stroke.. 1998;29:17781782.
29.
Welch KMA, Windham RA, Knight RA, Nagesh V, Hugg JW,
Jacobs M. A model to predict the histopathology of human stroke using
diffusion- and T2-weighted magnetic resonance imaging.
Stroke.. 1995;26:19831989.
30. Chien D, Kwong KK, Gress DR, Buonanno FS, Buxton RB, Rosen BR. MR diffusion imaging of cerebral infarction in humans. AJNR Am J Neuroradiol.. 1992;13:10971102.[Abstract]
31.
Sorensen AG, Wu O, Copen WA, Davis TL, Koroshetz WJ,
Reese T, Rosen BR, Wedeen VJ, Weisskoff RM. Human acute cerebral
ischaemia: detection of changes in water diffusion anisotropy by using
MR imaging. Radiology.. 1999;212:785792.
32.
Ricci PE, Burdette JH, Elster AD, Reboussin DM. A
comparison of fast spin-echo, fluid-attenuated inversion-recovery, and
diffusion-weighted MR imaging in the first 10 days after cerebral
infarction. AJRN Am J Neuroradiol.. 1999;20:15351542.
33. Li T-Q, Takahashi AM, Hindmarsh T, Moseley ME. ADC mapping by means of a single-shot spiral MRI technique with application in acute cerebral ischemia. Magn Reson Med.. 1999;41:143147.[Medline] [Order article via Infotrieve]
34.
Burdette JH, Elster AD, Ricci PE. Acute cerebral
infarction: quantification of spin-density and T2 shine-through
phenomena on diffusion-weighted MR images. Radiology.. 1999;212:333339.
35.
Bammer R, Stollberger R, Augustin M, Simbrunner J,
Offenbacher H, Kooijman H, Ropele S, Kapeller P, Wach P, Ebner F,
Fazekas F. Diffusion-weighted imaging with navigated interleaved
echo-planar imaging and a conventional gradient system.
Radiology.. 1999;211:799806.
36.
Ulug A, Beauchamp N, Bryan RN, van Zijl PCM. Absolute
quantitation of diffusion constants in human stroke. Stroke.. 1997;28:483490.
37.
Provenzale JM, Engelter ST, Petrella JR, Smith JS,
MacFall JR. Use of MR exponential diffusion-weighted images to
eradicate T2 "shine-through" effect. AJR Am J
Roentgenol.. 1999;172:537539.
38.
Burdette JH, Ricci PE, Petitti N, Elster AD. Cerebral
infarction: time course of signal intensity changes on
diffusion-weighted MR images. AJR Am J Roentgenol.. 1998;171:791795.
39.
Schlaug G, Siewert B, Benfield A, Edelman RR, Warach
S. Time course of the apparent diffusion coefficient (ADC) abnormality
in human stroke. Neurology.. 1997;49:113119.
40. Warach S, Gaa J, Siewert B, Wielopolski P, Edelman RR. Acute human stroke studied by whole brain echo planar diffusion-weighted magnetic resonance imaging. Ann Neurol.. 1995;37:231241.[Medline] [Order article via Infotrieve]
41. OUchi T, Kuru Y, Honda S, Hayashi T, Yasuda R. Application of diffusion-weighted EPI to cerebrovascular disease. Riv Neuroradiol.. 1998;11:241242.
42. Read SJ, Jackson GD, Abbott DF, Syngeniotis A, Mitchell LA, Fitt GR, Donnan GA. Experience with diffusion-weighted imaging in an acute stroke unit. Cerebrovasc Dis.. 1998;8:135143.[Medline] [Order article via Infotrieve]
43.
Gonzalez RG, Schaefer PW, Buonanno FS, Schwamm LH,
Budzik RF, Rordorf G, Wang B, Sorensen AG, Koroshetz WJ.
Diffusion-weighted MR imaging: diagnostic accuracy in
patients imaged within 6 hours of stroke symptom onset.
Radiology.. 1999;210:155162.
44. Lutsep HL, Albers GW, DeCrespigny A, Kamat GN, Marks MP, Moseley ME. Clinical utility of diffusion-weighted magnetic resonance imaging in the assessment of ischemic stroke. Ann Neurol.. 1997;41:574580.[Medline] [Order article via Infotrieve]
45. Noguchi K, Nagayoshi T, Watanabe N, Kanazawa T, Toyoshima S, Morijiri M, Shojaku H, Shimizu M, Seto H. Diffusion-weighted echo-planar MRI of lacunar infarcts. Neuroradiology.. 1998;40:448451.[Medline] [Order article via Infotrieve]
46. Lovblad KO, Weber J, Heid O, Mattle HP, Schroth G. Clinical and radiological patterns of human stroke as defined by echo-planar diffusion-weighted MR imaging. Riv Neuroradiol.. 1998;11:227230.
47.
Yamada N, Imakita S, Sakuma T. Value of
diffusion-weighted imaging and apparent diffusion coefficient in recent
cerebral infarctions: a correlative study with contrast-enhanced
T1-weighted imaging. AJNR Am J Neuroradiol.. 1999;20:193198.
48. Fitzek C, Tintera J, Muller-Forell W, Urban P, Thomke F, Fitzek S, Hopf HC, Stoeter P. Differentiation of recent and old cerebral infarcts by diffusion- weighted MRI. Neuroradiology.. 1998;40:778782.[Medline] [Order article via Infotrieve]
49. Altieri M, Metz RJ, Muller C, Maeder P, Meuli R, Bogousslavsky J. Multiple brain infarcts: clinical and neuroimaging patterns using diffusion-weighted magnetic resonance. Eur Neurol.. 1999;42:7682.[Medline] [Order article via Infotrieve]
50.
Kidwell CS, Alger JR, Di Salle F, Starkman S,
Villablanca P, Bentson J, Saver JL. Diffusion MRI in patients with
transient ischemic attacks. Stroke.. 1999;30:11741180.
51.
Koudstaal PJ, van Gijn J, Frenken CW, Hijdra A,
Lodder J, Vermeulen M, Bulens C, Franke CL, for the Dutch TIA Study
Group. TIA, RIND, minor stroke: a continuum, or different subgroups?
J Neurol Neurosurg Psychiatry.. 1992;55:9597.
52.
Ebisu T, Tanaka C, Umeda M, Kitamura M, Fukunaga M,
Aoki I, Hiroshi S, Higuchi T, Naruse S, Horikawa Y, Ueda S. Hemorrhagic
and nonhemorrhagic stroke: diagnosis with diffusion-weighted and
T2-weighted echo-planar MR imaging. Radiology.. 1997;203:823828.
53. Okada S, Cho K, Hosaka S, Ito K, Tajima N, Kobayashi S, Kumazaki T, Takahashi Y. Diffusion weighted EPI in early cerebral infarction and intracerebral hemorrhage. Jpn J Clin Radiol.. 1997;42:15191525.
54.
Rother J, Guckel F, Neff W, Schwartz A, Hennerici M.
Assessment of regional cerebral blood volume in acute human stroke by
use of single-slice dynamic susceptibility contrast-enhanced magnetic
resonance imaging. Stroke.. 1996;27:10881093.
55.
Warach S, Li W, Ronthal M, Edelman RR. Acute cerebral
ischemia: evaluation with dynamic contrast-enhanced MR imaging
and MR angiography. Radiology.. 1992;182:4147.
56. Wu RH, Bruening R, Berchtenbreiter C, Weber J Steiger HJ, Peller M, Penzkofer H, Reiser M. MRI assessment of cerebral blood volume in patients with brain infarcts. Neuroradiology.. 1998;40:496502.[Medline] [Order article via Infotrieve]
57. Sorensen AG, Wray SH, Weisskoff RM, Boxerman JL, Davis TL, Caramia F, Kwong KK, Stern CE, Baker R, Breiter H, Gazit IE, Belliveau JW, Brady TJ, Rosen BR. Functional MR of brain activity and perfusion in patients with chronic cortical stroke. AJNR Am J Neuroradiol.. 1995;16:17531762.[Abstract]
58. Guckel F, Brix G, Rempp K, Deimling M, Rother J, Georgi M. Assessment of cerebral blood volume with dynamic susceptibility contrast enhanced gradient-echo imaging. J Comput Assist Tomogr.. 1994;18:344351.[Medline] [Order article via Infotrieve]
59. Berthezene Y, Nighoghossian N, Damien J, Derex L, Trouillas P, Froment JC. Effects of thalamic hemorrhage on cortical hemodynamic parameters assessed by perfusion MR imaging: preliminary report. J Neurol Sci.. 1998;157:6772.[Medline] [Order article via Infotrieve]
60. Reith W, Heiland S, Erb G, Benner T, Forsting M, Sartor K. Dynamic contrast-enhanced T2*-weighted MRI in patients with cerebrovascular disease. Neuroradiology.. 1997;39:250257.[Medline] [Order article via Infotrieve]
61. Soher BJ, Gillard JH, Bryan RN, Oppenheimer SM, Barker PB. Magnetic resonance perfusion imaging in acute middle cerebral artery stroke: comparison of blood volume and bolus peak arrival time. J Stroke Cerebrovasc Dis.. 1998;7:1733.[Medline] [Order article via Infotrieve]
62. Nighoghossian N, Berthezene Y, Adeleine P, Wiart M, Damien J, Derex L, Itti R, Froment JC, Trouillas P. Effects of subcortical cerebrovascular lesions on cortical hemodynamic parameters assessed by perfusion magnetic resonance imaging. Cerebrovasc Dis.. 1999;9:136141.[Medline] [Order article via Infotrieve]
63. Hacklander T, Hofer M, Reichenbach JR, Rascher K, Furst G, Modder U. Cerebral blood volume maps with dynamic contrast-enhanced T1-weighted FLASH imaging: normal values and preliminary clinical results. J Comput Assist Tomogr.. 1996;20:532539.[Medline] [Order article via Infotrieve]
64. Schreiber WG, Guckel F, Stritzke P, Schmiedek P, Schwartz A, Brix G. Cerebral blood flow and cerebrovascular reserve capacity: estimation by dynamic magnetic resonance imaging. J Cereb Blood Flow Metab.. 1998;18:11431156.[Medline] [Order article via Infotrieve]
65.
Yamada H, Koshimoto Y, Sadato N, Kawashima Y, Tanaka
M, Tsuchida C, Maeda M, Yonekura Y, Ishii Y. Crossed cerebellar
diaschisis: assessment with dynamic susceptibility contrast MR imaging.
Radiology.. 1999;210:558562.
66. Tsuchida C, Yamada H, Maeda M, Sadato N, Matsuda T, Kawamura Y, Hayashi N, Yamamoto K, Yonekura Y, Ishii Y. Evaluation of peri-infarcted hypoperfusion with T2*-weighted dynamic MRI. J Magn Reson Imaging.. 1997;7:518522.[Medline] [Order article via Infotrieve]
67.
Hatazawa J, Shimosegawa E, Toyoshima H, Ardekani BA,
Suzuki A, Okudera T, Miura Y. Cerebral blood volume in acute brain
infarction: a combined study with dynamic susceptibility contrast MRI
and 99mTc-HMPAO-SPECT. Stroke.. 1999;30:800806.
68.
Kim J, Shin T, Park J, Chung S, Choi N, Lim B.
Various patterns of perfusion-weighted MR imaging and MR angiographic
findings in hyperacute ischaemic stroke. AJNR Am J
Neuroradiol.. 1999;20:613620.
69. Hagen T, Bartylla K, Piepgras U. Correlation of regional cerebral blood flow measured by stable xenon CT and perfusion MRI. J Comput Assist Tomogr.. 1999;23:257264.[Medline] [Order article via Infotrieve]
70. Wang AM, Shetty AN, Woo H, Rao SK, Manzione JV, Moore JR. Diffusion weighted MR imaging in evaluation of CNS disease. Riv Neuroradiol.. 1998;11:109112.
71.
Darby DG, Barber PA, Gerraty RP, Desmond PM, Yang Q,
Parsons M, Li T, Tress BM, Davis SM.
Pathophysiological topography of acute
ischemia by combined diffusion-weighted and perfusion MRI.
Stroke.. 1999;30:20432052.
72. Flacke S, Keller E, Hartmann A, Murtz P, Textor J, Urbach H, Folkers P, Traber F, Gieseke J, Block W, Scheef L, Leutner C, Pauleit D, Schild HH. Improved diagnosis of early cerebral infarct by the combined use of diffusion and perfusion imaging. Fortschr Rontgenstr.. 1998;168:493501.
73.
Schellinger PD, Jansen O, Fiebach JB, Hacke W, Sartor
K. A standardized MRI stroke protocol: comparison with CT in hyperacute
intracerebral hemorrhage. Stroke.. 1999;30:765768.
74.
Sunshine JL, Tarr RW, Lanzieri CF, Landis DMD, Selman
WR, Lewin JS. Hyperacute stroke: ultrafast MR imaging to triage
patients prior to therapy. Radiology.. 1999;212:325332.
75.
Karonen JO, Vanninen RL, Liu Y, Ostergaard L, Kuikka
JT. Combined diffusion and perfusion MRI with correlation to
single-photon emission CT in acute ischemic stroke.
Stroke.. 1999;30:15831590.
76.
Ueda T, Yuh WTC, Maley JE, Quets JP, Hahn PY,
Magnotta VA. Outcome of acute lesions evaluated by diffusion and
perfusion MR imaging. AJNR Am J Neuroradiol.. 1999;20:983989.
77.
Sorensen AG, Copen WA, Ostergaard L, Buonanno FS,
Gonzalez RG, Rordorf G, Rosen BR, Schwamm LH. Hyperacute stroke:
simultaneous measurement of relative cerebral blood volume,
relative cerebral blood flow, and mean tissue transit time.
Radiology.. 1999;210:519527.
78.
Rordorf G, Koroshetz WJ, Copen WA, Cramer SC,
Schaefer PW, Budzik RF. Regional ischemia and ischemic
injury in patients with acute middle cerebral artery stroke as defined
by early diffusion-weighted and perfusion-weighted imaging.
Stroke.. 1998;29:939943.
79. Baird AE, Benfield A, Schlaug G, Siewert B, Lovblad KO, Edelman RR. Enlargement of human cerebral ischemic lesion volumes measured by diffusion-weighted magnetic resonance imaging. Ann Neurol.. 1997;41:581589.[Medline] [Order article via Infotrieve]
80.
Sorensen GA, Buonanno FS, Gonzalez RG, Schwamm LH,
Lev MH, Huang-Hellinger FR. Hyperacute stroke: evaluation with combined
multisection diffusion-weighted and hemodynamically
weighted echo-planar MR imaging. Radiology.. 1996;199:391401.
81. Warach S, Dashe JF, Edelman RR. Clinical outcome in ischemic stroke predicted by early diffusion-weighted and perfusion magnetic resonance imaging: a preliminary analysis. J Cereb Blood Flow Metab.. 1996;16:5359.[Medline] [Order article via Infotrieve]
82.
Schwamm LH, Koroshetz WJ, Sorensen G, Wang B, Copen
WA. Time course of lesion development in patients with acute stroke:
serial diffusion- and hemodynamic-weighted magnetic
resonance imaging. Stroke.. 1998;29:22682276.
83.
Barber PA, Davis SM, Darby DG, Desmond PM, Gerraty
RP, Yang Q, Jolley D, Donnan GA, Tress BM. Absent middle cerebral
artery flow predicts the presence and evolution of the ischemic
penumbra. Neurology.. 1999;52:11251132.
84.
Barber PA, Darby DG, Desmond PM, Yang Q, Gerraty RP,
Jolley D. Prediction of stroke outcome with echoplanar perfusion- and
diffusion-weighted MRI. Neurology.. 1998;51:418426.
85. Jansen O, Schellinger PD, Fiebach JB, Hacke W, Sartor K. Early recanalisation in acute ischaemic stroke saves tissue at risk defined by MRI. Lancet.. 1999;353:20362037.[Medline] [Order article via Infotrieve]
86. Beaulieu C, de Crespigny A, Tong DC, Moseley ME, Albers GW, Marks MP. Longitudinal magnetic resonance imaging study of perfusion and diffusion in stroke: evolution of lesion volume and correlation with clinical outcome. Ann Neurol.. 1999;46:568578.[Medline] [Order article via Infotrieve]
87.
Neumann-Haefelin T, Wittsack H-J, Wenserski F,
Siebler M, Seitz RJ. Diffusion- and perfusion-weighted MRI: the DWI/PWI
mismatch region in acute stroke. Stroke.. 1999;30:15911597.
88.
Tong DC, Yenari MA, Albers GW, OBrien M, Marks MP,
Moseley ME. Correlation of perfusion- and diffusion weighted MRI with
NIHSS score in acute (<6.5 hour) ischemic stroke.
Neurology.. 1998;50:864870.
89. Wardlaw JM. What pathological type of stroke is it? In: Warlow CP, Dennis MS, Hankey GJ, Sandercock PAG, van Gijn J, Wardlaw JM, eds. Stroke: A Practical Guide to Management. Oxford, UK: Blackwell Scientific Ltd; 1996:146189.
90. Pereira AC, Doyle VL, Griffiths JR, Brown MM. Disappearing cerebral infarcts: a longitudinal MRI study of 16 patients. Cerebrovasc Dis.. 1997;7:30. Abstract.
91.
Mohr JP, Biller J, Hilal SK, Yuh WTC, Tatemichi TK,
Hedges S. Magnetic resonance versus computed tomographic imaging in
acute stroke. Stroke.. 1995;26:807812.
92.
Lansberg MG, OBrien MW, Norbash AM, Moseley ME,
Morrell M, Albers GW. MRI abnormalities associated with partial status
epilepticus. Neurology.. 1999;52:10211027.
93. Lim CC, Sitoh YY, Lee KE, Kurup A, Hui F. Meningoencephalitis caused by a novel paramyxovirus: an advanced MRI case report in an emerging disease. Singapore Med J.. 1999;40:356358.[Medline] [Order article via Infotrieve]
94.
Libman RB, Wirkowski E, Alvir J, Rao TH. Conditions
that mimic stroke in the emergency department: implications for acute
stroke trials. Arch Neurol.. 1995;52:11191122.
95.
Lefkowitz D, LaBenz M, Nudo SR, Steg RE, Bertoni JM.
Hyperacute ischemic stroke missed by diffusion-weighted
imaging. AJNR Am J Neuroradiol.. 2000;20:18711875.
96.
Wang PY, Barker PB, Wityk RJ, Ulug AM.
Diffusion-negative stroke: a report of two cases. AJNR Am J
Neuroradiol.. 2000;20:18761880.
97.
Wardlaw JM, Lewis SC, Dennis MS, Counsell C, McDowall
M. Is visible infarction on computed tomography associated with an
adverse prognosis in acute ischemic stroke? Stroke.. 1998;29:13151319.
98. Uchino K, Cramer SC. Entry criteria and baseline characteristics predict outcome in acute stroke trials. Stroke.. 2000;31:277. Abstract.
99. Powers WJ, Grubb RL Jr, Raichle ME. Physiological responses to focal cerebral ischemia in humans. Ann Neurol.. 1984;16:546552.[Medline] [Order article via Infotrieve]
100. Marchal G, Benali K, Iglesias S, Viader F, Derlon JM, Baron JC. Voxel-based mapping of irreversible ischaemic damage with PET in acute stroke. Brain. 1999;122(pt 12):23872400.
101.
Lodder J, Krijne-Kubat B, Broekman J. Cerebral
hemorrhagic infarction at autopsy: cardiac embolic cause and the
relationship to the cause of death. Stroke.. 1986;17:626629.
102. Lodder J. CT detected haemorrhagic infarction: relation with size of infarct and the presence of midline shift. Acta Neurol Scand.. 1984;70:329335.[Medline] [Order article via Infotrieve]
103. Yusuf S, Collins R, Peto R, Furburg C, Stampfer MJ, Goldhaber SZ. Intravenous and intracoronary fibrinolytic therapy in acute myocardial infarction: overview of results on mortality, reinfarction and side effects from 33 randomised controlled trials. Eur J Cardiol.. 1985;6:556585.
104.
Counsell C, Clarke MJ, Slattery J, Sandercock PAG. The
miracle of DICE for acute stroke therapy: fact or fictional product
of subgroup analysis? BMJ.. 1994;309:16771681.
This article has been cited by other articles:
![]() |
C. Rosso, N. Hevia-Montiel, S. Deltour, E. Bardinet, D. Dormont, S. Crozier, S. Baillet, and Y. Samson Prediction of Infarct Growth Based on Apparent Diffusion Coefficients: Penumbral Assessment without Intravenous Contrast Material1 Radiology, January 1, 2009; 250(1): 184 - 192. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Rosso, N. Hevia-Montiel, S. Deltour, E. Bardinet, D. Dormont, S. Crozier, S. Baillet, and Y. Samson Prediction of Infarct Growth Based on Apparent Diffusion Coefficients: Penumbral Assessment without Intravenous Contrast Material Radiology, November 18, 2008; (2008) 2493080107. [Abstract] [Full Text] |
||||
![]() |
H. P. Adams Jr, G. del Zoppo, M. J. Alberts, D. L. Bhatt, L. Brass, A. Furlan, R. L. Grubb, R. T. Higashida, E. C. Jauch, C. Kidwell, et al. Guidelines for the Early Management of Adults With Ischemic Stroke: A Guideline From the American Heart Association/American Stroke Association Stroke Council, Clinical Cardiology Council, Cardiovascular Radiology and Intervention Council, and the Atherosclerotic Peripheral Vascular Disease and Quality of Care Outcomes in Research Interdisciplinary Working Groups: The American Academy of Neurology affirms the value of this guideline as an educational tool for neurologists. Circulation, May 22, 2007; 115(20): e478 - e534. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. P. Adams Jr, G. del Zoppo, M. J. Alberts, D. L. Bhatt, L. Brass, A. Furlan, R. L. Grubb, R. T. Higashida, E. C. Jauch, C. Kidwell, et al. Guidelines for the Early Management of Adults With Ischemic Stroke: A Guideline From the American Heart Association/ American Stroke Association Stroke Council, Clinical Cardiology Council, Cardiovascular Radiology and Intervention Council, and the Atherosclerotic Peripheral Vascular Disease and Quality of Care Outcomes in Research Interdisciplinary Working Groups: The American Academy of Neurology affirms the value of this guideline as an educational tool for neurologists Stroke, May 1, 2007; 38(5): 1655 - 1711. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. K. Schiemanck, G. Kwakkel, M. W. M. Post, and A. J. H. Prevo Predictive Value of Ischemic Lesion Volume Assessed With Magnetic Resonance Imaging for Neurological Deficits and Functional Outcome Poststroke: A Critical Review of the Literature Neurorehabil Neural Repair, December 1, 2006; 20(4): 492 - 502. [Abstract] [PDF] |
||||
![]() |
P A Barber, M D Hill, M Eliasziw, A M Demchuk, J H W Pexman, M E Hudon, A Tomanek, R Frayne, A M Buchan, and for the ASPEC Study Group Imaging of the brain in acute ischaemic stroke: comparison of computed tomography and magnetic resonance diffusion-weighted imaging J. Neurol. Neurosurg. Psychiatry, November 1, 2005; 76(11): 1528 - 1533. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. J. Alberts, R. E. Latchaw, W. R. Selman, T. Shephard, M. N. Hadley, L. M. Brass, W. Koroshetz, J. R. Marler, J. Booss, R. D. Zorowitz, et al. Recommendations for Comprehensive Stroke Centers: A Consensus Statement From the Brain Attack Coalition Stroke, July 1, 2005; 36(7): 1597 - 1616. [Abstract] [Full Text] [PDF] |
||||
![]() |
W.-D. Heiss, J. Sobesky, and V. Hesselmann Identifying Thresholds for Penumbra and Irreversible Tissue Damage Stroke, November 1, 2004; 35(11_suppl_1): 2671 - 2674. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. P. Kloska, D. G. Nabavi, C. Gaus, E.-M. Nam, E. Klotz, E. B. Ringelstein, and W. Heindel Acute Stroke Assessment with CT: Do We Need Multimodal Evaluation? Radiology, October 1, 2004; 233(1): 79 - 86. [Abstract] [Full Text] [PDF] |
||||
![]() |
W.-D. Heiss, J. Sobesky, U. v. Smekal, L. W. Kracht, F.-G. Lehnhardt, A. Thiel, A. H. Jacobs, and K. Lackner Probability of Cortical Infarction Predicted by Flumazenil Binding and Diffusion-Weighted Imaging Signal Intensity: A Comparative Positron Emission Tomography/Magnetic Resonance Imaging Study in Early Ischemic Stroke Stroke, August 1, 2004; 35(8): 1892 - 1898. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. A. Baird, M. W. Parsons, T. Phanh, K. S. Butcher, P. M. Desmond, B. M. Tress, P. G. Colman, B. R. Chambers, and S. M. Davis Persistent Poststroke Hyperglycemia Is Independently Associated With Infarct Expansion and Worse Clinical Outcome Stroke, September 1, 2003; 34(9): 2208 - 2214. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. P. Adams Jr, R. J. Adams, T. Brott, G. J. del Zoppo, A. Furlan, L. B. Goldstein, R. L. Grubb, R. Higashida, C. Kidwell, T. G. Kwiatkowski, et al. Guidelines for the Early Management of Patients With Ischemic Stroke: A Scientific Statement From the Stroke Council of the American Stroke Association Stroke, April 1, 2003; 34(4): 1056 - 1083. [Full Text] [PDF] |
||||
![]() |
C.S. Gray and J.E. O'Connell Stroke: beyond thrombolysis and back to basics QJM, March 1, 2003; 96(3): 179 - 181. [Full Text] [PDF] |
||||
![]() |
J. Eyding, W. Wilkening, M. Reckhardt, G. Schmid, S. Meves, H. Ermert, H. Przuntek, and T. Postert Contrast Burst Depletion Imaging (CODIM): A New Imaging Procedure and Analysis Method for Semiquantitative Ultrasonic Perfusion Imaging Stroke, January 1, 2003; 34(1): 77 - 83. [Abstract] [Full Text] [PDF] |
||||
![]() |
J.M. Wardlaw, S.L. Keir, M.E. Bastin, P.A. Armitage, and A.K. Rana Is diffusion imaging appearance an independent predictor of outcome after ischemic stroke? Neurology, November 12, 2002; 59(9): 1381 - 1387. [Abstract] [Full Text] [PDF] |
||||
![]() |
J M Wardlaw Recent developments in imaging of stroke Imaging, October 1, 2002; 14(5): 409 - 419. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. H. Meves, W. Wilkening, T. Thies, J. Eyding, T. Holscher, M. Finger, G. Schmid, H. Ermert, and T. Postert Comparison Between Echo Contrast Agent-Specific Imaging Modes and Perfusion-Weighted Magnetic Resonance Imaging for the Assessment of Brain Perfusion Stroke, October 1, 2002; 33(10): 2433 - 2437. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Rother, P.D. Schellinger, A. Gass, M. Siebler, A. Villringer, J.B. Fiebach, J. Fiehler, O. Jansen, T. Kucinski, V. Schoder, et al. Effect of Intravenous Thrombolysis on MRI Parameters and Functional Outcome in Acute Stroke <6 Hours Stroke, October 1, 2002; 33(10): 2438 - 2445. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. F. Arenillas, A. Rovira, C. A. Molina, E. Grive, J. Montaner, J. Alvarez-Sabin, and K.-O. Lovblad Prediction of Early Neurological Deterioration Using Diffusion- and Perfusion-Weighted Imaging in Hyperacute Middle Cerebral Artery Ischemic Stroke * Editorial Comment Stroke, September 1, 2002; 33(9): 2197 - 2205. [Abstract] [Full Text] [PDF] |
||||
![]() |
M.F.H. Schocke, K. Seppi, R. Esterhammer, C. Kremser, W. Jaschke, W. Poewe, and G. K. Wenning Diffusion-weighted MRI differentiates the Parkinson variant of multiple system atrophy from PD Neurology, February 26, 2002; 58(4): 575 - 580. [Abstract] [Full Text] [PDF] |
||||
![]() |
J M Wardlaw RADIOLOGY OF STROKE J. Neurol. Neurosurg. Psychiatry, April 1, 2001; 70(90001): 7i - 11. [Full Text] |
||||
![]() |
S. Cha, E. A. Knopp, G. Johnson, S. G. Wetzel, A. W. Litt, and D. Zagzag Intracranial Mass Lesions: Dynamic Contrast-enhanced Susceptibility-weighted Echo-planar Perfusion MR Imaging Radiology, April 1, 2002; 223(1): 11 - 29. [Abstract] [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Stroke Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2000 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |