(Stroke. 2000;31:1081.)
© 2000 American Heart Association, Inc.
Original Contributions |
From the University of California Los Angeles Stroke Center (L.J.L., C.S.K., J.A., S.S., J.L.S.) and the Departments of Neurology (L.J.L., C.S.K., S.S., J.L.S.), Radiology (J.A.), and Emergency Medicine (S.S.), University of California Los Angeles Medical Center.
Correspondence to Jeffrey L. Saver, MD, UCLA, Reed Neurologic Research Center, 710 Westwood Plaza, Los Angeles, CA 90095. E-mail jsaver{at}ucla.edu
| Abstract |
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MethodsWe analyzed 46 consecutive patients with acute ischemic stroke who underwent DWI/MRA within 24 hours of admission. Initial diagnoses were rendered with use of the 2 most widely used formal stroke subtype classification schemes, the TOAST and the Oxfordshire methods, which were applied to patients after CT/conventional MRI but before DWI/MRA. Modified TOAST and Oxfordshire diagnoses were then rendered based on the results of day 1 DWI, MRA, and DWI plus MRA. Final TOAST/Oxfordshire diagnoses at discharge were taken as the gold standard.
ResultsCompared with final diagnoses, pre-MRI TOAST diagnoses matched final diagnoses in 48%, improving to 83% after DWI alone, 56% after MRA alone, and 94% after DWI plus MRA. For the TOAST diagnostic subtypes of large-vessel atherothromboembolism and small-vessel disease, pre-MRI diagnoses matched final diagnoses in 56% and 35% of patients, respectively, improving to 89% and 100% after DWI/MRA. Pre-MRI Oxfordshire diagnoses matched final diagnoses in 67% of patients, improving to 100% after DWI.
ConclusionsThe use of DWI/MRA within 24 hours of hospitalization substantially improves the accuracy of the diagnosis of early ischemic stroke subtype. When initial management and clinical trial eligibility decisions are influenced by stroke subtype, day 1 multimodal MRI is advantageous as a guide to therapy.
Key Words: angiography, magnetic resonance magnetic resonance imaging, diffusion-weighted stroke classification
| Introduction |
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Newer MRI techniques may assist early stroke subtype diagnosis. Diffusion-weighted MRI (DWI) can render ischemic fields visible within minutes of ischemia onset in animal models, and clinical studies have demonstrated the efficacy of DWI in humans in early visualization of the site and extent of ischemia.6 7 8 9 10 11 12 13 14 15 However, the impact of DWI findings on early ischemic stroke subtype diagnosis has not been systematically investigated. Magnetic resonance angiography (MRA) allows rapid characterization of the cervical and cephalic large vessels. MRA detects and grades cervical internal carotid stenosis with an accuracy of 85% to 96% compared with digital subtraction angiography.16 17 18 19 20 21 With the use of MRA, stenoses and occlusions of intracranial vessels are identified with 80% to 100% sensitivity and specificity compared with catheter angiography.22 23 24 25 However, studies of MRA have generally been performed days after stroke occurrence rather than in the acute setting. In addition, prior investigations have generally focused on MRA/angiography correlations and have not systematically investigated the impact of MRA on stroke subtype diagnosis.
Together, DWI and cervical and cephalic MRA have the potential to identify the site of brain ischemia and the site of large-vessel disease within the first hours after stroke onset and hospital admission, providing detailed pathophysiological information that may improve the accuracy of stroke subtype diagnoses rendered in the acute phase. We therefore assessed the diagnostic usefulness of combined DWI and MRA obtained within 24 hours of admission in acute ischemic stroke through the use of the 2 most widely used formal methods for stroke subtype classification: the TOAST and Oxfordshire classification criteria.
| Subjects and Methods |
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Ischemic stroke subtype diagnoses were rendered retrospectively at 5 possible time points: (1) immediately before DWI/MRA imaging (based on history, physical examination, and CT or conventional MRI studies), (2) immediately after DWI imaging (without MRA data), (3) immediately after MRA imaging (without DWI data), (4) immediately after combined DWI/MRA, and (5) at hospital discharge (final diagnosis).
MRI was performed with a 1.5-T Siemens Vision MR system equipped with echo planar imaging data acquisition capability designed to obtain rapid diffusion images. Diffusion imaging was performed with a slice thickness of 7 mm with no interslice gap and 2 levels of diffusion sensitization (b=0, 1000 s/mm2). The higher level of diffusion sensitization was replicated in each of the 3 orthogonal, principal gradient directions (read, slice select, phase encode [X, Y, Z] planes), and DWI images were formed from the average of these. Extracranial MRA was performed with settings of TR 25, TE 9, flip angle 35°, images interpolated to 3.0-mm slice thickness, matrix 192x256, field of view 19, and superior saturation band. Intracranial MRA was performed with settings of TR 35, TE 7.2, flip angle 20°, images interpolated to 1.5-mm slice thickness, matrix 200x512, field of view 20, and superior saturation band. MRA images were processed with a maximum intensity projection, 3-dimensional time-of-flight technique. CT scans were obtained with 2 General Electric high-speed scanners with 5-mm slice thickness.
The TOAST classification method has 5 stroke subtype categories: (1) large-vessel atherothromboembolic, (2) cardioembolic, (3) small-vessel, (4) stroke of other determined etiology, and (5) stroke of undetermined etiology.26 The Oxfordshire classification method contains 4 subtypes based on anatomic distribution of infarcts and corresponding clinical symptoms: (1) lacunar infarcts, (2) total anterior circulation infarcts, (3) partial anterior infarcts, and (4) posterior circulation infarcts.27 Pre-DWI/MRA diagnoses and final diagnoses were rendered according to the standard TOAST and Oxfordshire methods.26 27 For the DWI and post-MRA TOAST diagnoses, we created modified TOAST classification criteria that incorporate MRA alone, DWI alone, and MRA+DWI. For the post-DWI Oxfordshire diagnoses, we created modified Oxfordshire classification criteria that incorporate DWI.
The modified TOAST classification differs from the original in the
following ways: (1) vascular imaging by MRA was permitted to influence
diagnosis in the same manner as carotid duplex, (2) DWI imaging of
infarct size, location, and topography was permitted to influence
diagnosis in the same manner as CT or conventional MRI of infarct size,
location, and topography, and (3) if there was a conflict between
history/physical examination findings and imaging findings, imaging
findings were accepted as decisive (eg, a patient with a nonclassic
lacunar clinical syndrome but a small, deep infarct on DWI and no
large-vessel stenosis on MRA was classified as having a
small-vessel stroke). To make application of the complex TOAST
diagnostic method more uniform, we created formal
algorithmic decision trees to guide diagnostic assignment
(Figure 1
and supplemental
figure1). The modified Oxfordshire classification
differs from the original in 2 ways: (1) it incorporates DWI or other
parenchymal imaging findings, and (2) if there was a conflict between
history/physical examination findings and imaging findings, imaging
findings were accepted as decisive (eg, a patient with a nonclassic
lacunar clinical syndrome but a small, deep infarct on DWI was
classified as "lacunar infarct-LACI").
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To guide early diagnoses, in addition to CT and conventional MRI, results were available for all patients from chart medical histories and physical examinations, ECGs, chest radiographs, and cardiac enzyme, complete blood cell count, prothrombin time/INR, partial thromboplastin time, electrolyte, glucose, blood urea nitrogen, creatinine, and erythrocyte sedimentation rate tests. Final diagnoses at discharge also incorporated information from the subsequent clinical course and additional diagnostic tests, including VDRL, cholesterol panel, and transthoracic echocardiography for all patients and transesophageal echocardiography, transcranial Doppler, carotid duplex ultrasound, cerebral angiogram, cerebrospinal fluid study, and specialized laboratory (hematologic/serologic/histologic) testing in selected patients.
TOAST and Oxfordshire algorithmic diagnoses were rendered by 1
neurological reviewer (LL). In cases in which this reviewer judged that
application of the TOAST and Oxfordshire algorithms was not immediately
straightforward, a second neurological reviewer (JLS) also performed a
diagnostic analysis. Any discrepancies between the
2 reviewers were settled by consensus discussion. Second reviews were
conducted in
25% of cases. Interrater agreement was >95%.
Diagnosis-related conventional MRI, DWI, and MRA scan information was obtained in the following manner. Official interpretations by attending neuroradiologists were consulted by the neurological reviewers, and classification-relevant findings were abstracted. The neurological reviewers also personally examined each patients MRI films. There were no instances of disagreement between the formal neuroradiologic reading and the neurological reviewers scan analyses. In exceptional instances, the formal neuroradiologic report did not address all scan information potentially relevant to stroke subtype classification. In these cases, scan findings were based on the neurological reviewers supplemental interpretation of the scan.
In abstracting information for stroke subtype classification, the reviewers followed a strategy of reviewing data in the order it became chronologically available during the hospital course, remaining blinded to data acquired later in the hospitalization before rendering diagnoses at initial time points. In rare instances when data were filed in charts out of chronological order, reviewers did become aware of later acquired data before rendering early diagnoses, but they explicitly avoided incorporating such later data in following the diagnostic algorithms.
For statistical analysis, pre-DWI/MRA, post-DWI, post-MRA, and post-DWI/MRA diagnoses were cross-tabulated with final diagnoses. Final diagnoses were taken as a gold standard.
| Results |
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Of the 38 patients presenting to the ED, 33 patients underwent CT scanning of the head. The average time from ED arrival to CT scan was a median of 1.25 hours and a mean of 2.00 hours (range 0.5 to 13 hours). The average time from ED arrival to MRI for the 38 patients was a median of 4.3 hours and a mean of 7.7 hours (range 1 to 23 hours). For the entire cohort, the average time from stroke onset to CT was a median of 10.0 hours and a mean of 21.9 hours (range 0.5 to 180 hours). The average time from stroke onset to MRI was a median of 19.0 hours and a mean of 32.3 hours (range 2 to 190.5 hours).
The acute ischemic lesion was visualized in 6 of 39 (15%) patients on CT, 33 of 45 (73%) patients on T2-weighted MRI, and 45 of 46 (98%) on DWI. Multiple acute lesions on DWI (suggesting embolism) were seen in 6 patients (13%). Among the 46 patients studied, intracranial MRA visualized stenoses or occlusions in vessels relevant to the areas of ischemia in 7 patients (15%), and extracranial MRA visualized relevant stenoses or occlusions in 3 patients (7%).
Data regarding the impact of DWI and MRA imaging on
diagnostic accuracy with the use of TOAST methods are shown
in Tables 1
and 2
and Figure 2
. Figure 3
illustrates the impact of serial diagnostic testing in each
of the patients in the cohort. Overall, the percent of cases matching
final classification improved from 48% before DWI or MRA imaging to
56% with the addition of MRA alone, 83% with the addition of DWI
alone, and 94% with the addition of combined DWI and MRA. In the
large-vessel atherothromboembolic category, pre-MRI diagnoses matched
final diagnoses in 56% of patients and improved to 89% with the
addition of MRA alone, 56% with the addition of DWI alone, and 89%
with the addition of combined DWI and MRA. In the small-vessel lacunar
category, pre-MRI diagnoses matched final diagnoses in 35% of
patients, improving to 35% with the addition of MRA alone, 96% with
the addition of DWI alone, and 100% with the addition of
combined DWI and MRA. In the cardioembolic category, pre-MRI diagnoses
matched final diagnoses in 40% of cases, changing to 40% with the
addition of MRA alone, 80% with the addition of DWI, and 80% with the
addition of combined DWI and MRA.
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Data regarding the impact of imaging on Oxfordshire classification are
shown in Tables 3
and 4
. The overall percent of cases
classified correctly improved from 67% before DWI to 100% after
DWI.
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Illustrative cases in which early MRI altered the diagnosis are shown
in Figures 4 to 6![]()
![]()
.
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| Discussion |
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In addition, many clinicians tailor acute stroke treatment strategies to stroke subtype. Large-scale clinical trials have not yet demonstrated differential treatment effects among subtypes, but this in part may reflect imprecise entry stroke subtype diagnosis. Accurate early stroke subtype diagnosis will likely be critical for the conduct of clinical trials of emerging neurointerventional recanalization therapies.32 Trials of intra-arterial thrombolysis,33 acute cerebral angioplasty,34 and other endovascular reperfusion techniques require rapid, accurate identification of patients with large vessel occlusions.
Our data demonstrate that early, multimodal DWI/MRA substantially improves the accuracy of stroke subtype diagnosis. Marked improvements in matching final diagnosis were noted for both of the formal subtyping methods in widespread use: the TOAST and the Oxfordshire classification systems.
With the TOAST method, early DWI/MRA substantially improved the classification accuracy of early diagnoses of large-vessel atherothromboembolic and small-vessel (lacunar) subtypes. A tendency toward improved accuracy for diagnosis of cardioembolic stroke was also noted, but conclusions were limited by small patient numbers. Cardioembolic strokes were likely underrepresented in our cohort due to an inherent limitation of MRI-dependent diagnosis strategies. Acute MRI studies cannot be obtained in a subset of patients with cardiac sources of embolism, including patients with cardiac pacemakers and patients who are hemodynamically unstable due to acute myocardial infarction or cardiac dysrhythmia.
It is noteworthy that the accuracy of stroke subtype diagnoses rendered after large-vessel imaging by MRA was substantially further improved by the addition of DWI determination of ischemic insult topography. This observation suggests limitations to acute diagnostic strategies that rely only on standard CT plus vessel imaging with ultrasound (carotid duplex and transcranial), CT angiography, or MRA. DWI of infarct topography further assisted subtype diagnosis in several ways, including (1) in distinguishing when classic lacunar syndromes were indeed due to small, deep infarcts <1.5 cm in diameter versus due to larger territorial infarcts; (2) in conversely determining when nonclassic lacunar clinical syndromes were due to small, deep infarcts rather than to larger insults; (3) in indicating multiple acute lesions in more than 1 vascular territory in patients with only 1 symptomatic lesion, which is consistent with cardioembolism; and (4) in determining the acute, symptomatic lesion from among several chronic deep and cortical lesions.
An important limitation of the present study is that the gold standard, final diagnoses were not reached completely independent of the diagnostic test being evaluated. For this reason, we have not expressed our detailed results in terms of sensitivity, specificity, positive predictive value, and negative predictive value; it would not be entirely statistically sound to do so. However, because it has been conventional to provide these measures in similar studies,1 for comparison purposes only we note what our data would have yielded for the 2 most common diagnostic categories. In the large-vessel atherothromboembolic category, sensitivity and positive predictive values of initial TOAST diagnosis would have been 56% and 83%, improving to 89% and 100% with the addition of MRA alone, 56% and 100% with the addition of DWI alone, and 89% and 100% with the addition of combined MRA and DWI. In the small-vessel category, sensitivity and positive predictive values of initial TOAST diagnoses would have been 35% and 73%, improving to 35% and 80% with the addition of MRA alone, 96% and 92% with the addition of DWI alone, and 100% and 96% with the addition of combined MRA and DWI. It is important to note that our data likely underestimate the usefulness of DWI and MRA imaging in stroke subtype diagnosis. Our quantitative analyses capture only the impact of imaging with DWI and MRA on changes in stroke subtype diagnosis and not the impact in strengthening the likelihood of initially correct subtype assignments. For example, in the large-vessel atherothromboembolic category, DWI findings often increased the likelihood of a large-vessel mechanism by demonstrating infarct topography compatible with large-vessel disease. Such a finding helps to move a diagnosis from "possible large-vessel atherothromboembolic" to "probable large-vessel atherothromboembolic." Similarly, MRA often strengthened the likelihood of small-vessel disease by excluding a large-vessel stenosis or occlusion, making the diagnosis of small-vessel lacunar even more probable.
Several groups have explored in an informal manner the aspects of the impact of early DWI and MRA imaging on the early diagnosis of large-vessel syndrome35 36 or lacunar syndromes,37 38 but none have previously examined their effect across all ischemic stroke subtypes or used formal diagnostic classification algorithms. Our findings add to the growing literature on the usefulness of DWI, MRA, and combined DWI/MRA in the evaluation of acute ischemic stroke.7 39 To the usefulness of acute DWI volume in the prediction of eventual functional outcome6 40 41 and the usefulness of DWI in the differentiation of acute lesions from several chronic lesions,7 42 we may now add effectiveness in improvement of the accuracy of early stroke subtype diagnosis. In addition, we believe this study represents the first demonstration and quantitative assessment of the usefulness of combined cervical and cephalic MRA in the diagnosis of stroke subtype.
In conclusion, imaging with DWI and MRA within 24 hours of hospitalization substantially improves the accuracy of early ischemic stroke subtype diagnosis. When initial management decisions and clinical trial eligibility are influenced by stroke subtype, day 1 multimodal MRI methodology would be advantageous as a guide to therapy and to clinical trial enrollment. In addition, early multimodal MRI allows the rapid initiation of planning for long-term secondary stroke prevention therapy differentiated by stroke subtype.
| Acknowledgments |
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| Footnotes |
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1 One supplemental figure delineating a formal algorithm to render the baseline TOAST diagnosis (based on clinical examination and CT scan) has been filed with the National Auxiliary Publications Service (NAPS) and is available for a nominal fee by writing to ASIS/NAPS, c/o Microfiche Publications, Burrows Systems, 248 Hempstead Turnpike, West Hempstead, NY 11552-2664 (516-481-2300). ![]()
Received December 6, 1999; revision received February 21, 1999; accepted February 21, 2000.
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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] |
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J. A. Viehman, J. L. Saver, D. S. Liebeskind, S. Starkman, L. K. Ali, B. Buck, T. Razinia, and B. Ovbiagele Utility of Urinalysis in Discriminating Cardioembolic Stroke Mechanism Arch Neurol, May 1, 2007; 64(5): 667 - 670. [Abstract] [Full Text] [PDF] |
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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] |
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O. Y. Bang, J. L. Saver, D. S. Liebeskind, S. Starkman, P. Villablanca, N. Salamon, B. Buck, L. Ali, L. Restrepo, F. Vinuela, et al. Cholesterol level and symptomatic hemorrhagic transformation after ischemic stroke thrombolysis Neurology, March 6, 2007; 68(10): 737 - 742. [Abstract] [Full Text] [PDF] |
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T. Razinia, J. L. Saver, D. S. Liebeskind, L. K. Ali, B. Buck, and B. Ovbiagele Body Mass Index and Hospital Discharge Outcomes After Ischemic Stroke Arch Neurol, March 1, 2007; 64(3): 388 - 391. [Abstract] [Full Text] [PDF] |
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N. Sanossian, J. L. Saver, D. S. Liebeskind, D. Kim, T. Razinia, and B. Ovbiagele Achieving Target Cholesterol Goals After Stroke: Is In-Hospital Statin Initiation the Key? Arch Neurol, August 1, 2006; 63(8): 1081 - 1083. [Abstract] [Full Text] [PDF] |
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V. J. Marder, D. J. Chute, S. Starkman, A. M. Abolian, C. Kidwell, D. Liebeskind, B. Ovbiagele, F. Vinuela, G. Duckwiler, R. Jahan, et al. Analysis of Thrombi Retrieved From Cerebral Arteries of Patients With Acute Ischemic Stroke Stroke, August 1, 2006; 37(8): 2086 - 2093. [Abstract] [Full Text] [PDF] |
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N. Sanossian, J. L. Saver, V. Rajajee, S. L. Selco, D. Kim, T. Razinia, and B. Ovbiagele Premorbid antiplatelet use and ischemic stroke outcomes Neurology, February 14, 2006; 66(3): 319 - 323. [Abstract] [Full Text] [PDF] |
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T. Wessels, C. Wessels, A. Ellsiepen, I. Reuter, S. Trittmacher, E. Stolz, and M. Jauss Contribution of Diffusion-Weighted Imaging in Determination of Stroke Etiology AJNR Am. J. Neuroradiol., January 1, 2006; 27(1): 35 - 39. [Abstract] [Full Text] [PDF] |
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P H Lee, S H Oh, O Y Bang, I S Joo, and K Huh Pathogenesis of deep white matter medullary infarcts: a diffusion weighted magnetic resonance imaging study J. Neurol. Neurosurg. Psychiatry, December 1, 2005; 76(12): 1659 - 1663. [Abstract] [Full Text] [PDF] |
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T Seifert, C Enzinger, M K Storch, G Pichler, K Niederkorn, and F Fazekas Acute small subcortical infarctions on diffusion weighted MRI: clinical presentation and aetiology J. Neurol. Neurosurg. Psychiatry, November 1, 2005; 76(11): 1520 - 1524. [Abstract] [Full Text] [PDF] |
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B. Ovbiagele, C. S. Kidwell, S. Starkman, S. L. Selco, V. Rajajee, T. Razinia, and J. L. Saver Angiotensin 2 type 2 receptor activity and ischemic stroke severity Neurology, September 27, 2005; 65(6): 851 - 854. [Abstract] [Full Text] [PDF] |
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K W Muir and C Santosh Imaging of acute stroke and transient ischaemic attack J. Neurol. Neurosurg. Psychiatry, September 1, 2005; 76(suppl_3): iii19 - iii28. [Full Text] [PDF] |
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T. Wessels, C. Rottger, M. Jauss, M. Kaps, H. Traupe, and E. Stolz Identification of Embolic Stroke Patterns by Diffusion-Weighted MRI in Clinically Defined Lacunar Stroke Syndromes Stroke, April 1, 2005; 36(4): 757 - 761. [Abstract] [Full Text] [PDF] |
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H. Nakamura, K. Yamada, O. Kizu, H. Ito, S. Yuen, T. Ito, K. Yoshikawa, K. Shiga, M. Nakagawa, and T. Nishimura Effect of Thin-Section Diffusion-Weighted MR Imaging on Stroke Diagnosis AJNR Am. J. Neuroradiol., March 1, 2005; 26(3): 560 - 565. [Abstract] [Full Text] [PDF] |
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B. Ovbiagele, C. S. Kidwell, and J. L. Saver Expanding Indications for Statins in Cerebral Ischemia: A Quantitative Study Arch Neurol, January 1, 2005; 62(1): 67 - 72. [Abstract] [Full Text] [PDF] |
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B. Ovbiagele, J. L. Saver, A. Fredieu, S. Suzuki, S. Selco, V. Rajajee, N. McNair, T. Razinia, and C. S. Kidwell In-Hospital Initiation of Secondary Stroke Prevention Therapies Yields High Rates of Adherence at Follow-up Stroke, December 1, 2004; 35(12): 2879 - 2883. [Abstract] [Full Text] [PDF] |
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B. Ovbiagele, J. L. Saver, A. Fredieu, S. Suzuki, N. McNair, A. Dandekar, T. Razinia, and C. S. Kidwell PROTECT: A coordinated stroke treatment program to prevent recurrent thromboembolic events Neurology, October 12, 2004; 63(7): 1217 - 1222. [Abstract] [Full Text] [PDF] |
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D. M. Cestari, D. M. Weine, K. S. Panageas, A. Z. Segal, and L. M. DeAngelis Stroke in patients with cancer: Incidence and etiology Neurology, June 8, 2004; 62(11): 2025 - 2030. [Abstract] [Full Text] [PDF] |
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J. L. Saver and C. Kidwell Neuroimaging in TIAs Neurology, April 27, 2004; 62(8_suppl_6): S22 - S25. [Full Text] |
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D.-W. Kang, J. A. Chalela, M. A. Ezzeddine, and S. Warach Association of Ischemic Lesion Patterns on Early Diffusion-Weighted Imaging With TOAST Stroke Subtypes Arch Neurol, December 1, 2003; 60(12): 1730 - 1734. [Abstract] [Full Text] [PDF] |
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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] |
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M. Atiya, T. Kurth, K. Berger, J. E. Buring, and C. S. Kase Interobserver Agreement in the Classification of Stroke in the Women's Health Study Stroke, February 1, 2003; 34(2): 565 - 567. [Abstract] [Full Text] [PDF] |
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R. P. Gerraty, M. W. Parsons, P. A. Barber, D. G. Darby, P. M. Desmond, B. M. Tress, and S. M. Davis Examining the Lacunar Hypothesis With Diffusion and Perfusion Magnetic Resonance Imaging Stroke, August 1, 2002; 33(8): 2019 - 2024. [Abstract] [Full Text] [PDF] |
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K. W. Muir Heterogeneity of Stroke Pathophysiology and Neuroprotective Clinical Trial Design Stroke, June 1, 2002; 33(6): 1545 - 1550. [Abstract] [Full Text] [PDF] |
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A. B. Singhal, M. A. Topcuoglu, and F. S. Buonanno Acute Ischemic Stroke Patterns in Infective and Nonbacterial Thrombotic Endocarditis: A Diffusion-Weighted Magnetic Resonance Imaging Study Stroke, May 1, 2002; 33(5): 1267 - 1273. [Abstract] [Full Text] [PDF] |
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M. A. Ezzeddine, M. H. Lev, C. T. McDonald, G. Rordorf, J. Oliveira-Filho, F. G. Aksoy, J. Farkas, A. Z. Segal, L. H. Schwamm, R. G. Gonzalez, et al. CT Angiography With Whole Brain Perfused Blood Volume Imaging: Added Clinical Value in the Assessment of Acute Stroke Stroke, April 1, 2002; 33(4): 959 - 966. [Abstract] [Full Text] [PDF] |
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A. Rovira, A. Rovira-Gols, S. Pedraza, E. Grive, C. Molina, and J. Alvarez-Sabin Diffusion-Weighted MR Imaging in the Acute Phase of Transient Ischemic Attacks AJNR Am. J. Neuroradiol., January 1, 2002; 23(1): 77 - 83. [Abstract] [Full Text] [PDF] |
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C. S. Kidwell, J. L. Saver, J. Mattiello, S. Starkman, F. Vinuela, G. Duckwiler, Y.P. Gobin, R. Jahan, P. Vespa, J. P. Villablanca, et al. Diffusion-perfusion MRI characterization of post-recanalization hyperperfusion in humans Neurology, December 11, 2001; 57(11): 2015 - 2021. [Abstract] [Full Text] [PDF] |
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A. Evans, I. Perez, G. Yu, and L. Kalra Should Stroke Subtype Influence Anticoagulation Decisions to Prevent Recurrence in Stroke Patients With Atrial Fibrillation? Stroke, December 1, 2001; 32(12): 2828 - 2832. [Abstract] [Full Text] [PDF] |
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C. S. Kidwell, J. L. Saver, J. Mattiello, S. Warach, D. S. Liebeskind, S. Starkman, P. M. Vespa, J. P. Villablanca, N. A. Martin, J. Frazee, et al. Diffusion-perfusion MR evaluation of perihematomal injury in hyperacute intracerebral hemorrhage Neurology, November 13, 2001; 57(9): 1611 - 1617. [Abstract] [Full Text] [PDF] |
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L. B. Goldstein, M. R. Jones, D. B. Matchar, L. J. Edwards, J. Hoff, V. Chilukuri, S. B. Armstrong, R. D. Horner, and J. Bamford Improving the Reliability of Stroke Subgroup Classification Using the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) Criteria Editorial Comment : Classifying the Mechanisms of Ischemic Stroke Stroke, May 1, 2001; 32(5): 1091 - 1097. [Abstract] [Full Text] [PDF] |
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P.J. Kelly, E.T. Hedley-Whyte, J. Primavera, J. He, and R.G. Gonzalez Diffusion MRI in ischemic stroke compared to pathologically verified infarction Neurology, April 10, 2001; 56(7): 914 - 920. [Abstract] [Full Text] [PDF] |
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