| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
(Stroke. 2002;33:2819.)
© 2002 American Heart Association, Inc.
Original Contributions |
From the Departments of Neurology (D.G.N., E.-M.N., E.B.R.) and Clinical Radiology (S.P.K., M.F., C.G.G., W.H.), University of Münster, Münster, and Siemens, Medical Solutions (E.K.), Forchheim, Germany.
Correspondence to Priv-Doz Darius G. Nabavi, MD, Department of Neurology, University of Münster, Albert Schweitzer-Str 33, D-48129 Münster, Germany. E-mail nabavi{at}uni-muenster.de
| Abstract |
|---|
|
|
|---|
Methods Forty-four acute stroke patients (mean age, 63.8 years) were enrolled within a mean of 3.0±1.9 hours after symptom onset. The MOSAIC score (0 to 8 points) was generated by results of the 3 sequential CT investigations: (1) presence and amount of early signs of infarction on noncontrast CT (NCCT; 0 to 2 points), (2) stenosis (>50%) or occlusion of the distal internal carotid or middle cerebral artery on CTA (0 to 2 points), and (3) presence and amount of reduced cerebral blood flow on 2 adjacent PCT slices (0 to 4 points). The predictive value of the MOSAIC score was compared with each single CT component with respect to the final size of infarction and the clinical outcome 3 months after stroke by use of the modified Rankin Scale (mRS) and the Barthel Index (BI).
Results Among the CT components, PCT showed the best correlation to infarction size (r=0.75) and clinical outcome (r=0.60 to 0.62) compared with NCCT (r=0.43 to 0.58) and CTA (r=0.47 to 0.71). The MOSAIC score showed consistently higher correlation factors (r=0.67 to 0.78) and higher predictive values (0.73 to 1.0) than all single CT components with respect to outcome measures. A MOSAIC score <4 predicted independence with 89% to 96% likelihood (mRS
2, BI
90); a MOSAIC score <5 predicted fair outcome with 96% to 100% likelihood (mRS
3, BI
60).
Conclusions The MOSAIC score based on multidetector row CT technology is superior to NCCT, CTA, and PCT in predicting infarction size and clinical outcome in hyperacute stroke.
Key Words: angiography brain stem infarction cerebral blood flow computed tomography outcome
| Introduction |
|---|
|
|
|---|
It has been shown that early signs of infarction on noncontrast CT (NCCT) have significant prognostic impact with respect to future infarction and clinical course.79 With sufficient expertise, these infarction signs can be detected with satisfactory reliability and reproducibility.7,10 Moreover, CT angiography (CTA) is a well-recognized method for evaluating extracranial11 and intracranial brain-supplying arteries.12 Therefore, the status of the major cerebral arteries can readily be assessed in stroke patients without significant delay.13 Within the last years, perfusion CT (PCT) has been established as the third CT component enabling depiction of the perfusion deficit beyond the major arteries, ie, on the tissue level.1420 With the recent introduction of multidetector row CT technology, volume coverage of PCT can be extended to include further parts of the brain.21,22
Thus, with the 3 main CT modalities (NCCT, CTA, PCT), profound knowledge about brain anatomy, vessel status, and tissue hemodynamics can be acquired in acute stroke patients within several minutes. However, no diagnostic algorithm exists that integrates information from these supplementary CT modalities for acute patient stratification. We propose the Multimodal Stroke Assessment Using CT (MOSAIC), which is a novel multimodal CT. In this study, we evaluate the predictive value of a specific MOSAIC score with respect to (1) occurrence and size of cerebral infarction and (2) clinical outcome 3 months after symptom onset.
| Methods |
|---|
|
|
|---|
After completion of the study procedure, all patients were admitted to the local stroke unit for further therapy and diagnostic workup. In 7 patients (15.9%), systemic thrombolysis with recombinant tissue plasminogen activator was performed within 3 hours after symptom onset. The remaining patients were treated with heparin or platelet inhibitors. Suspected stroke causes consisted of cardiogenic (n=12) and arterial (n=14) cerebral thromboembolism or cerebral microangiopathy (n=3). In 6 patients, >1 cause was found; 9 patients remained without any detectable source of ischemia.
Three months after stroke onset, a structured questionnaire was performed for all patients by telephone to assess the level of independence at home. If the patient was unable to answer the questions, relatives were interviewed after informed consent was obtained. As outcome measures, we used 2 established score systems, the modified Rankin Scale (mRS) and Barthel Index (BI). The mRS is a 7-point scoring system that distributes patients from 0 (no symptoms) to 6 (death).23 According to previous studies, dependency was defined by mRS >2, and bad outcome was defined by mRS >3.24 The BI has a range of points from 0 (totally dependent or death) to 100 (completely independent) according to a 10-item list of daily tasks in the household.25 Dependency is reflected by a BI of
90; bad outcome is defined by a BI <60.24
Principle of PCT Measurement
The theoretical basis of the applied PCT technique has been described in detail.26,27 It contains the continuous CT data acquisition during first passage of a peripherally administered bolus of contrast medium. Subtle changes in CT density over the brain tissue can be detected to generate time-density curves on a pixel-by-pixel basis. Based on the indicator-dilution theory28 and the maximum slope model described elsewhere,26 the Perfusion CT software package (Siemens Medical Solutions) provides high-resolution maps of relative cerebral blood flow (CBF), relative cerebral blood volume (CBV), and time to peak (TTP). In this study, only PCT-derived CBF maps (PCTCBF) were used for further analysis.
Multimodal CT Imaging and Follow-Up Examination
CT imaging studies were performed with a slip-ring, multidetector row CT scanner (SOMATOM VolumeZoom, Siemens) that allows continuous scanning at up to 4 anatomic levels. First, an NCCT of the entire brain was performed with a slice thickness of 4 mm infratentorially and of 7 mm supratentorially. PCT measurements were performed in 2 adjacent CT slices with a slice distance and slice thickness of 10 mm. According to others, the lower slice was defined at the level of the basal ganglia including parts of the anterior, middle, and posterior cerebral artery territory.19,27,29 The second slice was 1 cm above, containing upper parts of the basal ganglia. Contrast agent (40 mL, Ultravist 300, Schering) was injected intravenously as a sharp bolus (8 mL/s) into an antecubital vein via 16- to 18-gauge needle with an automatic injector. Simultaneously, dynamic CT scanning was performed at a sampling rate of 1 image per second for a 40 seconds. Technical parameters for the dynamic scan were as follows: 80 kV(p), 180 mA, 512x512 matrix size, and a 25-cm field of view. CTA was performed from the level of the sixth cervical body (C6) up to the lateral ventricles with 100 mL of contrast agent (Ultavist 300, Schering). For CTA, 140 kV(p) and 120 mA were applied. Maximum-intensity projections were reconstructed in axial, sagittal, and coronal views. Figure 1 shows an example of multimodal CT imaging in acute stroke.
|
Follow-up imaging was performed to measure the size and localization of cerebral infarction with MRI (n=16; diffusion-weighted, fluid-attenuated inversion recovery and T2-weighted sequences) or non-contrast CT (n=28) within the next 10 days after stroke.
Data Analysis
For further analysis, all data were transferred to a PC workstation. NCCT was analyzed for early signs of infarction by 2 experienced neuroradiologists (S.P.K., C.G.G.) who were completely blinded to clinical data. They were also unaware of the side of the affected hemisphere. For this purpose, the optimum-density CT window was used to discriminate normal and hypoattenuated tissue.8 For quantification of the infarction signs, the methods described in the Alberta Stroke Program Early CT Score Study (ASPECTS) was used.7 In this method, the territory of the middle cerebral artery (MCA) was divided into 10 standardized regions: caudate nucleus, internal capsule, lentiform nucleus, insular ribbon, and 6 cortical MCA territories at the level of the basal ganglia (n=3) and centrum semiovale (n=3). For each ASPECTS region, a decision was made as to whether early signs of infarction were visible, and the number of regions affected were subsequently counted. In 3 patients, infarction signs were falsely visualized on the unaffected hemisphere without infarction signs on the affected side. In these patients, absence of infarction signs was considered in further analyses.
CTA and PCT data were analyzed by at least 1 experienced neuroradiologist and 1 vascular neurologist in consensus (D.G.N., S.P.K., E.M.N., C.G.G.). Results of the CTA were examined in all 3 projections. The status of the major intracranial cerebral arteries at the circle of Willis was differentiated into no stenosis or mild stenosis <50%, stenosis
50%, and vessel occlusion. PCTCBF maps were generated on a specially designed workstation as explained elsewhere.26,27 The first decision of whether tissue ischemia was present was visually made. If present, the area of visible perfusion deficit and the area of the entire ipsilateral hemisphere were manually outlined. Then, the relative size of the perfusion deficit was given in percent of the affected hemisphere. To obtain the level of relative CBF reduction through this visual approach and to assess its consistency, the outlined area was mirrored over the midline to the contralateral hemisphere. From measurements over the contralateral homologue, the relative CBF in the ischemic tissue was given in percent of the contralateral values. For statistical comparison among the single CT components, results of the first CBF map were used.
Assessment of the follow-up images was performed by 2 neuroradiologists in consensus (S.P.K., C.G.G.). The size of infarction was measured on those slices of the follow-up scans that corresponded best to the level of the perfusion measurements. The area with tissue infarction and the area of the entire hemisphere were manually outlined. In accordance with the analysis of the perfusion maps, the size of infarction was given in percent of the affected hemisphere. Additionally, the overall infarction size was assessed on the slice with maximum extension by measuring its maximum length and width, which, in some cases, was located outside the measurement level. For further statistical analysis, the maximum infarction size was summarized within 5 groups: (1) no infarction, (2) maximum infarction diameter <2 cm, (3) 2 to 5 cm, (5) >5 cm up to one third of the MCA territory, and (5) more than one third of the MCA territory.
Definition of the MOSAIC Score
According to the results of the NCCT, CTA, and PCTCBF, patients were given 0 to 8 points as explained in Table 1. The PCTCBF cutoff of 20% of the entire hemisphere to categorize the amount of ischemia was chosen because it approximates at best one third of the MCA territory. Accordingly, the lowest MOSAIC score of 0 represents normal findings in all 3 modalities, and the highest score of 8 points represents (1) early infarction signs in at least 4 ASPECTS regions on NCCT, (2) a CBF deficit of
20% in both PCT slices, and (3) MCA occlusion on CTA.
|
Statistical Analysis
Descriptive statistics were calculated by use of mean±SD values and ranges. Comparison of each single CT component with the MOSAIC score was performed with regard to infarction size and clinical outcome at the 3-month follow-up. As measures of infarction size, both the relative size on the level of the 2 CBF measurements and the maximum diameter of the infarction were used. Comparison of 2 groups or >2 groups was performed by use of the Mann-Whitney and Kruskal-Wallis tests for nonnormally distributed data, respectively. Linear regression analysis and Spearmans rank correlation were performed to measure the association between CT measurements and follow-up data. The sensitivity, specificity, and the positive (PPV) and negative (NPV) predictive values of imaging findings with respect to occurrence and size of infarction and clinical outcome were calculated by use of receiver-operating characteristics (ROC).30 Differences in PPV and NPV were analyzed by comparing the area under the ROC curves derived from the MOSAIC score and each single CT parameter.31 Statistical significance was declared at P<0.05.
| Results |
|---|
|
|
|---|
On 3-months follow-up, 2 additional patients had died (total mortality rate, 9.1%). The mean±SD follow-up values of mRS and BI were 2.4±1.7 and 77.2±34.4, respectively. According to cutoff values of mRS and BI, the dependency rates after 3 months were 38.6% and 36.4%, respectively. Frequencies of bad outcome were 25.0% and 22.7% according to mRS and BI, respectively. All patients except 1 with infarctions outside the measurement slices were independent on follow-up with good outcome measures of 1.3±0.9 (mRS) and 97.7±4.7 (BI), respectively.
Multimodal CT Imaging
Basic data are summarized in Table 1. Of 44 patients, 21 (47.7%) showed early signs of cerebral infarction on NCCT. In 18 patients (40.9%), these infarction signs were visible at the level of the PCT slices; in 3 patients, they were located only in slices above. Using the ASPECTS scoring system, an overall mean number of 1.7±2.3 areas (range, 0 to 8) showed signs of cerebral infarction most frequently involving the lentiform nucleus (n=17), caudate nucleus (n=9), internal capsule (n=5), and insular cortex (n=6). On CTA, ipsilateral pathological findings were noted in 24 patients, revealing occlusion of the M1 (n=9) or the M2 (n=3) segment of the MCA, stenosis (n=4) or occlusion (n=13) of the distal internal carotid artery (ICA), and additional occlusion of the anterior cerebral artery (n=1). In 7 patients, a combined pathology of the ICA and MCA was found. With PCTCBF, brain ischemia was visible in 30 patients (68.1%), affecting both slices in 26 (59.1%) and a single slice only in 4 patients (9.1%). Including all patients, the mean±SD size of the ischemic area was 12.9±18.2%, with 11.9±20.6% on slice 1 and 14.5±22.3% on slice 2. In 2 patients, additional ischemic areas within the territory of the anterior and posterior cerebral arteries were detected. The relative CBF within the visually identified ischemic tissue was 38.6±17.6% compared with the contralateral homolog. The average MOSAIC score was 3.6±2.9 (see also Table 1). Nine patients (20.4%) had a score of 0, 15 patients (34.1%) had a moderate score of 1 to 3, and the remaining 20 patients (45.5%) had a score
4.
Impact of the Type of Acute Treatment
We compared patients who underwent systemic thrombolysis with those who received heparin or antiplatelet drugs only. Patients undergoing thrombolysis had significantly larger neurological deficits according to the NIHSS (median, 16 versus 8; P=0.02), showed a significantly higher number of early infarction signs according to the ASPECTS regions (median, 2 versus 0 affected; P=0.01), had a higher proportion of vessel obstruction on CTA (median, 2 versus 0; P=0.01), and had larger perfusion deficits on PCTCBF (median size, 22.4% versus 3.1%; P=0.04) than those who received heparin or antiplatelet therapy only. Accordingly, the MOSAIC score was likewise significantly higher in patients subjected to thrombolysis compared with the remaining patients (median, 7 versus 3; P=0.008). Despite clear evidence of more severe strokes in the thrombolysis group, after treatment, patients who had underwent thrombolysis showed only a trend toward more unfavorable outcome. They had a trend toward larger brain infarctions (median, 8.7% versus 2.5%; P=0.07) and showed nonsignificantly more clinical deficits as assessed with the BI (median, 90 versus 60; P=0.3) and mRS (median, 3.0 versus 2.3; P=0.4) compared with the conservative treatment group.
Correlation Between CT Data and Follow-Up
Linear regression analysis between CT results and outcome measures revealed consistent differences among the 4 CT components for all target parameters (Figure 2). Of the 3 single CT components, the ASPECTS score on NCCT showed lowest correlation coefficients (r=0.42 to 0.58), whereas PCTCBF consistently showed highest values (r=0.52 to 0.75) with respect to clinical status and infarction size. With respect to the correlation coefficients on linear regression analysis, MOSAIC was superior to all single CT components (r=0.59 to 0.78). When occurrence of any supratentorial infarction regardless of its size is considered the outcome measure, we similarly found a difference in sensitivity values among the CT parameters: NCCT showed lowest values (58,9%), followed by CTA (66,7%) and PCTCBF (71,8%), whereas the MOSAIC score showed highest values (87,1%). The specificity with respect to occurrence of infarction was 100% for all parameters because no false-positive values were noted.
|
The results of the sensitivity, specificity, PPV, and NPV with respect to final clinical outcome for each CT component and the MOSAIC score are given in Table 2. The MOSAIC score showed a better efficiency than all single CT modalities in predicting dependency during daily life and bad clinical outcome. As given in Table 2, the predictive superiority of the MOSAIC score over the single CT parameters consistently reached statistical significance over NCCT (all P<0.05), was close to statistical significance over CTA (P=0.06 to 0.1), and showed a trend over PCTCBF (P>0.1). Figure 3 illustrates the superiority of the MOSAIC score over all single CT components in predicting outcome through ROC curve analysis.
|
|
| Discussion |
|---|
|
|
|---|
Therefore, we developed a MOSAIC score that is clearly structured and easy to apply. To quantify the amount of tissue infarction on NCCT, we used the ASPECTS scoring system that has been shown to have good reliability and predictive value in acute stroke.7 This scoring system counts in 10 well-defined areas of the MCA territory the number of regions in which infarction signs can be visualized. This contrasts to the purely dichotomized approach to discriminate whether infarction signs cover more than one third of the MCA territory.10,34 We believe that using the ASPECTS scoring system allows more structured quantification of early infarction signs. For CTA, we differentiated between patients without significant stenosis, those with stenosis of
50%, and those with vessel occlusion. For clarity, we did not further differentiate as to whether the distal ICA or the M1 or M2 segment of the MCA was affected. In fact, patency of the proximal MCA segment has a more significant impact on the tissue hemodynamics than the status of the distal ICA or distal MCA. However, we did not introduce a weighing factor based on nonvalidated assumptions that would further complicate the scoring system. Because CBF measurements have been shown to be more accurate than CBV or TTP in predicting tissue outcome in acute stroke,17,18 this parameter was chosen to enter the MOSAIC score as the third CT component. This decision is corroborated by similar findings on MRI perfusion imaging, indicating that CBF rather than CBV or TTP provides the optimum compromise between sensitivity and specificity in predicting infarction size in acute cerebral ischemia.35,36 To provide good reproducibility, we did not introduce CBF thresholds but rather used the visible size of the ischemic area to quantify ischemia. This is in accordance with studies on PET37 and single photon emission tomography38 demonstrating the extension of ischemia rather than the exact amount of CBF reduction to be highly predictive of final infarction size. Interestingly, using our purely visual approach to identify the ischemic tissue, we found a consistent relative CBF of
39% compared with the mirrored tissue on the contralateral hemisphere. Because both PCT slices contributed separately to the MOSAIC score, up to 4 points were possible by PCTCBF but only 2 points by NCCT and CTA.
Throughout the analysis, the MOSAIC score was superior to all single CT components with respect to the various outcome measures (Table 2 and Figure 3). The MOSAIC score showed a strong correlation to the size of infarction (r=0.78) and clinical outcome (r=0.69). Likewise, high predictive values with respect to clinical outcome were found. Depending on the outcome scale applied, patients with a MOSAIC score <4 had an 89% to 96% likelihood of independence, and those with a MOSAIC score of <5 had a 96% to 100% likelihood of fair outcome. As hypothesized, the predictive values of the MOSAIC score were higher compared with the single CT modalities. However, this superiority reached statistical significance only over NCCT, and a consistent trend was also found toward CTA and PCT (Table 2). The latter was due to the still-large confidence intervals of the predictive values as an effect of the still-limited amount of data. Of these, PCTCBF proved to be the CT modality with best prediction of infarction size and clinical outcome. This is in accordance with a recent finding by Ezzeddine et al,20 who found perfusion measurements to be diagnostically more beneficial than NCCT and CTA in classifying stroke subtype.
Furthermore, advantages of the multidetector row PCT measurements became evident for this first time in our study. In 13% of the patients with evidence of tissue ischemia (ie, 9% of all patients), visualization of hemodynamic alterations was possible only in 1 of the 2 slices. Thus, 1 of 11 patients would have had false-negative perfusion results if only single-slice PCT measurements were performed. Until now, no systematic studies have been available that assessed the diagnostic contribution of a dual or multislice approach over single-slice CT measurements. In the only other study using a multidetector row CT system by Wintermark et al,22 a comparison of single and multislice perfusion measurements was not in the scope of their article. Although quite conceivable, it needs to be demonstrated by controlled investigations that the multislice CT approach is superior to the single-slice technique in terms of diagnostic sensitivity and specificity.
The lesion volume defined as the area with reduced CBF showed a good correlation to infarction size (r=0.75) and clinical outcome (r=0.62). In contrast, findings of NCCT and CTA were only of moderate predictive value. In particular, the positive prediction of outcome by NCCT (38% to 67%) and by CTA (47% to 68%) was limited. Strong differences among parameters were also found when occurrence of any supratentorial infarction was used as a dichotomized outcome variable. Although all parameters had 100% specificity in detecting cerebral infarctions (no false-positive ratings), their sensitivity was only 59% for NCCT and 67% for CTA. Thus, normal findings on NCCT or CTA do not exclude the development of small cortical infarcts with sufficient reliability. This is in accordance with a large study that evaluated the predictive value of early NCCT for ischemic brain damage.9 This study likewise found high values for specificity (85%) and PPV (96%) but only moderate to low values for sensitivity (64%) and NPV (27%). Even PCTCBF had only 72% sensitivity in detecting all supratentorial infarctions, which reflects the restriction of PCT measurements to a limited amount of brain tissue. When all CT information was extracted into the MOSAIC score, this sensitivity increased to 87%. Thus, even a completely normal multimodal CT status is unable to reliably exclude the existence of tissue ischemia. However, all infarctions missed were small and mostly functionally irrelevant. Thus, prediction of functional outcome was affected only slightly by this limitation.
The correlation of the CT parameters with clinical status at admission was less strong. The correlation factors with the NIHSS were highest for the MOSAIC score and lowest for the NCCT findings. This is in accordance with previous studies using early neuroradiological predictors based on CT and MRI technology. Lev et al16 used 3-dimensional helical CT scanning to discriminate between perfused and nonperfused tissue in 22 patients undergoing intra-arterial thrombolysis. Their lesion volume showed a good correlation to clinical outcome (r=0.53) but only a weak correlation to the initial NIHSS (r=0.33). Thijs et al39 found a correlation factor of 0.68 between lesion volume on diffusion-weighted imaging and BI at 1 month but only a moderate correlation of 0.45 between diffusion-weighted imaging and NIHSS on admission.
Several issues in the present study and the proposed technique need to be addressed. First, our follow-up imaging to detect and quantify cerebral infarction consisted of CT and MRI. This reflects clinical obstacles and structural limitations, which is in agreement with other studies reporting on similarly heterogeneous compositions.15,17,29,40 Because the same investigators analyzed both CT and MRI follow-up images, the error, if relevant, should be limited and consistent in direction. Second, in 3 patients, the clinically blinded investigators noted early signs of infarction on the unaffected hemisphere. Although these results did not enter the MOSAIC score, they may reflect remaining diagnostic uncertainty in the detection of these subtle CT changes.10,34 Lev et al16 stated that many of their early infarction signs on NCCT were only retrospectively identified after visualization of coregistered contrast-enhanced CT images. Indeed, knowledge of clinical or hemodynamic details facilitates the detection of early infarction signs. Still, we believe that for scientific purposes our approach with totally blinded investigators is preferred. Nevertheless, knowledge of clinical symptoms may have led to a higher ASPECTS score in some of our cases with better predictability of this component. This issue further underscores the need for more reliable parameters for early patient stratification. Third, in 3 patients, small infarcts in the brain stem and cerebellum occurred that were missed by the multimodal CT workup. This indicates a fundamental limitation of the CT technique in general. Because many infratentorial strokes can be recognized clinically, early MRI is preferred in such cases. Finally, the radiation dose and the amount of contrast agent used for the proposed MOSAIC technique need to be discussed. The effective dose equivalent of the entire CT procedure using the technique parameters as described in the Methods section amounts to
6 mSv, which is reasonable for an emergency procedure. This is in accordance with a recent calculation given by Wintermark et al.22 For PCT and CTA, only 140 mL of contrast agent is needed. Thus, subsequent intra-arterial catheter angiography is still possible, eg, if local thrombolysis is indicated. Furthermore, it has been shown that nonionic contrast, even in much higher doses than applied in this study, is not detrimental in acute cerebral ischemia.41 Thus, we believe that technical parameters do not constitute a significant restriction of the proposed technique.
In this study, we did not investigate to what extent the multimodal CT approach is useful in predicting the early clinical course because of infarction growth or development of cerebral edema, nor did we investigate if and how patient selection for thrombolytic therapy can be improved by this approach. Besides the number of early CT signs of cerebral infarction,34 proof is lacking that novel CT modalities truly contribute to this selection process. With regard to CTA, there is still controversy about whether vessel status on CTA represents an exclusion criterion for thrombolysis.13,42 With respect to PCT, Lev et al,16 using a simplified measurement technique, found the ischemic volume to be predictive of outcome after intra-arterial thrombolysis. Whereas patients with lesion volumes >100 mL had poor outcome, most patients with smaller lesion volumes showed good improvement after local thrombolysis. Wintermark et al defined irreversibly infarcted tissue by strongly reduced CBV values and defined potentially salvageable tissue with additional CBF measurements.22 Thus, current evidence suggests that PCT measurements have greater potential than CTA to select suitable candidates for thrombolysis. Because all patients in our study with normal NCCT, CTA, and PCT (MOSAIC score=0) had unanimously good outcome, they are unlikely to benefit from thrombolysis. On the other hand, in patients with large areas of severe ischemia on PCTCBF in which irreversible tissue necrosis is likely to exist,22 the benefit from thrombolysis is likewise questionable. More work is needed to establish a CT-based "mismatch imaging" to improve patient selection for aggressive treatment approaches. In this respect, the MOSAIC approach may help to discriminate patients unlikely to benefit from thrombolysis with either brain ischemia that is too mild or too severe. It further needs to be evaluated whether the integration of other CT-derived perfusion parameters (ie, CBV, TTP) into this scoring system allows more sensitive and specific prognostication of tissue viability and infarction size.
In summary, we have shown that the multimodal CT concept optimizes the diagnostic exploitation of this technique in predicting infarction size and clinical outcome in hyperacute stroke. In needs to be addressed to what extent this CT algorithm is comparable to the MRI technique, which, if available, has become the gold standard of acute stroke imaging.
| Acknowledgments |
|---|
Received April 2, 2002; accepted July 16, 2002.
| References |
|---|
|
|
|---|
2. Schwab S, Steiner T, Aschoff A, Schwarz S, Steiner HH, Jansen O, Hacke W. Early hemicraniectomy in patients with complete middle cerebral artery infarction. Stroke. 1998; 29: 18881893.
3. Baron JC, von Kummer R, Del Zoppo GJ. Treatment of ischemic stroke: challenging the concept of a rigid and universal time window. Stroke. 1995; 26: 22192221.
4. Zivin JA. Factors determining the therapeutic window for stroke. Neurology. 1998; 50: 599603.
5. Albers GW. Expanding the window for thrombolytic therapy in acute stroke: the potential role of acute MRI for patients selection. Stroke. 1999; 30: 22302237.
6. Koroshetz WJ, Gonzales RG. Imaging stroke in progress: magnetic resonance advances but computed tomography is poised for counterattack. Ann Neurol. 1999; 46: 556558.[CrossRef][Medline] [Order article via Infotrieve]
7. Barber PA, Demchuk AM, Zhang J, Buchan AM. Validity and reliability of a quantitative computed tomography score in predicting outcome of hyperacute stroke before thrombolytic therapy. Lancet. 2000; 355: 16701674.[CrossRef][Medline] [Order article via Infotrieve]
8. von Kummer R, Holle R, Grzyska U, Hoffmann E, Jansen O, Petersen D, et al. Interobserver agreement in assessing early CT signs of middle cerebral artery infarction. AJNR Am J Neuroradiol. 1996; 17: 17431748.[Abstract]
9. von Kummer R, Bourquain H, Bastianello S, Bozzao L, Manelfe C, Meier D, et al. Early prediction of irreversible brain damage after ischemic stroke at CT. Radiology. 2001; 219: 95100.
10. Grotta J, Chiu D, Lu M, Patel S, Levine S, Tilley BC, et al. Agreement and variability in the interpretation of early CT changes in stroke patients qualifying for intravenous rtPA. Stroke. 1999; 30: 152833.
11. Cumming MJ, Morrow IM. Carotid artery stenosis: a prospective comparison of CT angiography and conventional angiography. Am J Roentgenol. 1994; 163: 517523.
12. Katz DA, marks MP, Napel SA, Bracci PM, Roberts SL. Circle of Willis: evaluation with spiral CT angiography, MR angiography, and conventional angiography. Radiology. 1995; 195: 445449.
13. Wildermuth S, Knauth M, Brandt T, Winter R, Sartor K, Hacke W. Role of CT angiography in patient selection for thrombolytic therapy an acute hemispheric stroke. Stroke. 1998; 29: 935938.
14. Furlan AJ. Perfusion-weighted CT in acute MCA stroke: teaching old dogs new tricks. Stroke. 2001; 32: 20272028.
15. Koenig M, Kraus M, Theek C, Klotz E, Gehlen W, Heuser L. Quantitative assessment of the ischemic brain by means of perfusion-related parameters derived from perfusion CT. Stroke. 2001; 32: 431437.
16. Lev MH, Segal AZ, Farkas J, Hossain ST, Putman C, et al. Utility of perfusion-weighted CT imaging in acute middle cerebral artery stroke treated with intra-arterial thrombolysis: prediction of infarction volume and clinical outcome. Stroke. 2001; 32: 20212028.
17. Mayer TE, Hamann GF, Baranczyk J, Rosengarten B, Klotz E, et al. Dynamic CT perfusion imaging of acute stroke. AJNR Am J Neuroradiol. 2000; 21: 14411449.
18. Nabavi DG, Cenic A, Henderson S, Gelb AW, Lee TY. Perfusion mapping using computed tomography allows accurate prediction of cerebral infarction in experimental brain ischemia. Stroke. 2001; 32: 175183.
19. Röther J, Jonetz-Mentzel L, Fiala A, Reichenbach J, Herzau M, Kaiser WA, Weiller C. Hemodynamic assessment of acute stroke using dynamic single-slice computed tomography perfusion imaging. Arch Neurol. 2000; 57: 11611166.
20. Ezzeddine MA, Lev MH, McDonald CT, Rordorf G, Oliveira-Filho J, Aksoy FG, Farkas J, Segal AZ, Schwamm LH, Gonzalez RG, Koroshetz WJ. CT angiography with whole brain perfused blood volume imaging: added clinical value in the assessment of acute stroke. Stroke. 2002; 33: 959966.
21. McCollough CH, Zink FE. Performance evaluation of a multi-slice CT system. Med Phys. 1999; 26: 22232230.[CrossRef][Medline] [Order article via Infotrieve]
22. Wintermark M, Reichhart M, Thiran JP, Maeder P, Chalaron M, Schnyder P, Bogousslavsky J, Meuli R. Prognostic accuracy of cerebral blood flow measurement by perfusion computed tomography, at the time of emergency room admission, in acute stroke patients. Ann Neurol. 2002; 51: 417432.[CrossRef][Medline] [Order article via Infotrieve]
23. Van Swieten JC, Koudstaal PJ, Visser MC, Shouten HJA, van Gijn J. Interobserver agreement for the assessment of handicap in stroke patients. Stroke. 1988; 19: 604607.
24. Sulter G, Steen C, Keyser JD. Use of the Barthel Index and modified Rankin Scale in acute stroke trials. Stroke. 1999; 30: 15381541.
25. Mahoney FI, Barthel DW. Functional evaluation: the Barthel Index. Md Med J. 1965; 21: 6165.
26. Klotz E, Koenig M. Perfusion measurements of the brain: using dynamic CT for the quantitative assessment of cerebral ischemia in acute stroke. Eur J Radiol. 1999; 30: 170184.[CrossRef][Medline] [Order article via Infotrieve]
27. Koenig M, Klotz E, Luka B, Venderink DJ, Spittler JF, Heuser L. Perfusion CT of the brain: diagnostic approach for early detection of ischemic stroke. Radiology. 1998; 209: 8593.
28. Meier P, Zierler KL. On the theory of the indicator-dilution method for measurement of blood flow and volume. J Appl Physiol. 1954; 6: 731744.
29. Eastwood JD, Lev MH, Azhari T, Lee TY, Barboriak DP, et al. CT perfusion scanning with deconvolution analysis: pilot study in patients with acute middle cerebral artery stroke. Radiology. 2002; 222: 227236.
30. Metz CE. Basic principles of ROC analysis. Semin Nucl Med. 1978; 8: 283298.[Medline] [Order article via Infotrieve]
31. Zweig MH, Campbell G. Receiver operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem. 1993; 39: 561577.
32. Gobbel GT, Cann CE, Iwamoto HS, Fike JR. Measurement of regional cerebral blood flow in the dog using ultrafast computed tomography: experimental validation. Stroke. 1991; 22: 772779.
33. Nabavi DG, Cenic A, Dool J, Smith RM, Espinosa F, Craen RA, Gelb AW, Lee TY. Quantitative assessment of cerebral hemodynamics using CT: stability, accuracy, and precision studies in dogs. J Comput Assist Tomogr. 1999; 23: 506515.[CrossRef][Medline] [Order article via Infotrieve]
34. Hacke W, Kaste M, Fieschi C, Toni D, Jesaffre E, von Kummer R, Boysen G, et al. Intravenous thrombolysis with recombinant tissue plasminogen activator for acute hemispheric stroke: the European Cooperative Acute Stroke Study. JAMA. 1995; 274: 10171025.
35. Parsons MW, Yang Q, Barber A, Darby DG, Desmond PM, et al. Perfusion magnetic resonance imaging maps in hyperacute stroke: relative cerebral blood flow most accurately identifies tissue destined to infarct. Stroke. 2001; 32: 15811587.
36. Rohl L, Ostergaard L, Simonsen CZ, Vestergaard-Poulsen P, Andersen G, et al. Viability threshold of ischemic penumbra of hyperacute stroke defined by perfusion-weighted MRI and apparent diffusion coefficient. Stroke. 2001; 32: 11401146.
37. Heiss WD, Grond M, Thiel A, von Stockhausen HM, Rudolf J, Ghaemi M, et al. Tissue at risk of infarction rescued by early reperfusion: a positron emission tomography study in systemic recombinant tissue plasminogen activator thrombolysis of acute stroke. J Cereb Blood Flow Metab. 1998; 18: 12981307.[CrossRef][Medline] [Order article via Infotrieve]
38. Alexandrov AV, Black SE, Ehrlich LE, Bladin CF, Smurawska LT, Pirisi A, Caldwell CB. Simple visual analysis of brain perfusion on HMPAO SPECT predicts early outcome in acute stroke. Stroke. 1996; 27: 15371542.
39. Thijs VN, Lansberg MG, Beaulieu C, Marks MP, Moseley ME, Albers GW. Is early ischemic lesion volume on diffusion-weighted imaging an independent predictor of stroke outcome: a multivariable analysis. Stroke. 2000; 31: 25972602.
40. Schellinger PD, Fiebach JB, Jansen O, Ringleb PA, Mohr A, Steiner T, et al. Stroke magnetic resonance imaging within 6 hours after onset of hyperacute cerebral ischemia. Ann Neurol. 2001; 49: 460469.[CrossRef][Medline] [Order article via Infotrieve]
41. Doerfler A, Engelhorn T, von Kummer R, Weber J, Knauth M, Heiland S, Sartor, Forsting M. Are iodinated contrast agents detrimental in acute cerebral ischemia? An experimental study in rats. Radiology. 1998; 206: 211217.
42. Nakano S. Limitations of CT angiography in patient selection for thrombolytic therapy. Stroke. 1999; 30: 11481149.
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] |
||||
![]() |
E.S. Rosenthal, L.H. Schwamm, L. Roccatagliata, S.B. Coutts, A.M. Demchuk, P.W. Schaefer, R.G. Gonzalez, M.D. Hill, E.F. Halpern, and M.H. Lev Role of Recanalization in Acute Stroke Outcome: Rationale for a CT Angiogram-Based "Benefit of Recanalization" Model AJNR Am. J. Neuroradiol., September 1, 2008; 29(8): 1471 - 1475. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. S. Roach, M. R. Golomb, R. Adams, J. Biller, S. Daniels, G. deVeber, D. Ferriero, B. V. Jones, F. J. Kirkham, R. M. Scott, et al. Management of Stroke in Infants and Children: A Scientific Statement From a Special Writing Group of the American Heart Association Stroke Council and the Council on Cardiovascular Disease in the Young Stroke, September 1, 2008; 39(9): 2644 - 2691. [Abstract] [Full Text] [PDF] |
||||
![]() |
F. Torres-Mozqueda, J. He, I.B. Yeh, L.H. Schwamm, M.H. Lev, P.W. Schaefer, and R.G. Gonzalez An Acute Ischemic Stroke Classification Instrument That Includes CT or MR Angiography: The Boston Acute Stroke Imaging Scale AJNR Am. J. Neuroradiol., June 1, 2008; 29(6): 1111 - 1117. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. C. S. Camargo, K. L. Furie, A. B. Singhal, L. Roccatagliata, M. E. Cunnane, E. F. Halpern, G. J. Harris, W. S. Smith, R. G. Gonzalez, W. J. Koroshetz, et al. Acute Brain Infarct: Detection and Delineation with CT Angiographic Source Images versus Nonenhanced CT Scans Radiology, August 1, 2007; 244(2): 541 - 548. [Abstract] [Full Text] [PDF] |
||||
![]() |
K W Muir, H M Halbert, T A Baird, M McCormick, and E Teasdale Visual evaluation of perfusion computed tomography in acute stroke accurately estimates infarct volume and tissue viability J. Neurol. Neurosurg. Psychiatry, March 1, 2006; 77(3): 334 - 339. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. de Monye, F. Cademartiri, T. T. de Weert, D. A. M. Siepman, D. W. J. Dippel, and A. van Der Lugt Sixteen-Detector Row CT Angiography of Carotid Arteries: Comparison of Different Volumes of Contrast Material with and without a Bolus Chaser Radiology, November 1, 2005; 237(2): 555 - 562. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. B. Coutts, M. H. Lev, M. Eliasziw, L. Roccatagliata, M. D. Hill, L. H. Schwamm, J.H. W. Pexman, W. J. Koroshetz, M. E. Hudon, A. M. Buchan, et al. ASPECTS on CTA Source Images Versus Unenhanced CT: Added Value in Predicting Final Infarct Extent and Clinical Outcome Stroke, November 1, 2004; 35(11): 2472 - 2476. [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] |
||||
![]() |
P. Schramm, P. D. Schellinger, E. Klotz, K. Kallenberg, J. B. Fiebach, S. Kulkens, S. Heiland, M. Knauth, and K. Sartor Comparison of Perfusion Computed Tomography and Computed Tomography Angiography Source Images With Perfusion-Weighted Imaging and Diffusion-Weighted Imaging in Patients With Acute Stroke of Less Than 6 Hours' Duration Stroke, July 1, 2004; 35(7): 1652 - 1658. [Abstract] [Full Text] [PDF] |
||||
![]() |
Improved Prediction of Acute Stroke Outcome with Multimodal CT Journal Watch Neurology, March 7, 2003; 2003(307): 1 - 1. [Full Text] |
||||
![]() |
S. Warach Stroke Neuroimaging Stroke, February 1, 2003; 34(2): 345 - 347. [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Stroke Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2002 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |