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(Stroke. 2004;35:2671.)
© 2004 American Heart Association, Inc.
Articles |
From the Max Planck Institute for Neurological Research (W.-D.H.), Department of Neurology (J.S.), and Department of Diagnostic Radiology (V.H.), University of Cologne, Cologne, Germany.
Correspondence to Dr Wolf-Dieter Heiss, Max Planck Institute for Neurological Research, Gleueler Strasse 50, 50931 Cologne, Germany. E-mail wdh{at}pet.mpin-koeln.mpg.de
| Abstract |
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Key Words: magnetic resonance imaging, diffusion-weighted magnetic resonance imaging, perfusion-weighted penumbra stroke, ischemic tomography, emission-computed
| Introduction |
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| Subjects and Methods |
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All patients included in this study suffered from ischemic hemispheric stroke of different severity, with clinical deficits ranging from mild (and transient) paresis of an arm to severe contralateral sensorimotor deficit (initial National Institutes of Health Stroke Scale score between 1 and 22 points; median, 6 points). Initial assessment included general medical and standardized neurological examinations and CT scanning. The patients received standard medical therapy; 8 patients arriving within the 3-hour window received intravenous thrombolysis before the imaging protocol was started. Fully informed consent was obtained from all patients.
MRI was performed on a Philips Intera 1.5-T whole-body scanner with single-shot and multishot spin-echo-planar imaging sequences providing 20 slices with a thickness of 6 mm. For DWI, 2 b values (b=0 and b=1000 s/mm2) were used, and DWI intensity maps and maps of the apparent diffusion coefficient (ADC) were calculated. The perfusion studies consisted of multiple measurements (40 at 2.6-second intervals or 60 at 1.3-second intervals) after a standardized injection of 20 mL GdDTPA with a flow rate of 10 mL/s. TTP maps were calculated from the raw data with the use of an interactive data languagebased interactive program (Research Systems Inc). DWI intensity and ADC values were expressed as a ratio, and TTP values were expressed as the difference from the contralateral homotopic region. Size and location of the final infarct were determined 24 to 48 hours later on T2-weighted MRI.
PET studies were performed with the patients in a resting state on an ECAT EXACT HR scanner (Siemens/CTI) in 3-dimensional data acquisition mode, providing 47 contiguous 3-mm slices at 5-mm full width at half maximum reconstructed resolution. As a tracer of neuronal integrity, 11C-FMZ (740 MBq) was injected intravenously, and ratios of cortical FMZ binding in the affected hemisphere relative to the contralateral white matter activity were assessed. Regional CBF was measured after intravenous bolus injection of [15O]H2O (2.2 GBq) with the use of arterial blood sampling.8 Oxygen consumption was measured after a single-breath inhalation of [15O]O2 (1.85 GBq), and the cerebral metabolic rate of oxygen (CMRO2) and OEF were calculated with the use of the arterial input function.9
The early PET, DWI, and PWI as well as the late T2-weighted MRI results were individually coregistered by a multimodal coregistration program.10,11 For DWI/FMZ comparison, spherical volumes of interest were placed in coregistered images of different variables. Regional values from different modalities were compared among each other or related to the final state, ie, infarcted or noninfarcted on late MRI. In a second step, the tissue compartments created by various thresholds were compared among the different modalities with the use of voxel-based atlases (Figure 1).
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| Results |
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When the volumes of tissue beyond these thresholds were compared, close correlations between volumes with FMZ and DWI beyond threshold as well as between predicted and final infarct volumes were obtained (Figure 2), but the volumes did not completely overlap. Overall, 83.5% of the final infarct (median, 14.9 cm3) was predicted by decreased FMZ binding, 84.7% by increased DWI signal, and 70.9% by reduced ADC value. However, because of the incongruities, only a small part of the final infarct was not predicted by FMZ or DWI value beyond the critical limit (median, 1.1 cm3). The false-positive rates showed significant differences: only a small part (median, 0; mean, 0.9 cm3) of the finally noninfarcted tissue had initially decreased FMZ binding, whereas 5.1 cm3 of finally normal tissue showed an increased DWI signal (25.9% of the total volume of DWI increase) and 3.6 cm3 showed a decreased ADC value (22.3% of total volume). These differences were significant (P<0.01, Wilcoxon test). The volumes of infarcted tissue not predicted by decreased FMZ or changed DWI signal were comparable. In single cases, areas with markedly increased DWI signal did not show either impaired FMZ binding or a lesion on late MRI, as reported previously,6 but in most cases the differences with respect to FMZ binding and DWI signals were at the borderline of the ischemic territory.
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Assessment of Perfusion
PWI-derived TTP maps were compared with quantified PET CBF images to test different TTP thresholds for their ability to identify hypoperfusion. After coregistration of the MR and PET images, an individual brain atlas was created for each patient. Then the volume of hypoperfusion of <20 mL/100 g per minute (PET CBF) was created with the use of a voxel-based threshold function. Within the same brain atlas, the TTP images were analyzed with stepwise increasing thresholds, ie, with increasing relative TTP delays (2, 4, 6, 8, 10 seconds with respect to the unaffected hemisphere). The volume of CBF hypoperfusion ranged from 1.2 to 362 cm3 (median, 34.5 cm3). The voxel-based 3-dimensional fusion of each patients hypoperfusion volume (CBF) and the respective set of TTP volumes were used to create subcompartments to calculate sensitivity and specificity values for each TTP threshold. The TTP threshold of 4 seconds reliably identified hypoperfused tissue (sensitivity, 0.827) and excluded normoperfused tissue (specificity, 0.768). Increasing the TTP threshold to 6 seconds impaired the ability to detect hypoperfusion (sensitivity, 0.765) but improved the rate of correctly identified normoperfused tissue (specificity, 0.875). From this small sample size, it can be concluded that a TTP delay between 4 and 6 seconds is useful to differentiate cerebral hypoperfusion <20 mL/100 g per minute.
Assessment of Penumbra
In 10 patients (5 with acute ischemic attacks 5 hours after symptom onset and 5 presenting in the subacute state after ischemic attack due to vascular stenosis), PWI/DWI revealed a mismatch between the volumes of TTP prolonged beyond 4 seconds and the volume of increased DWI signal. In these patients, CBF and CMRO2 were measured by PET, and the volumes of increased OEF (>150%) was calculated. A comparison of the volumes of increased TTP and of increased OEF (Figure 3) demonstrated a high variability between the volumes identified by these modalities: all 10 patients showed areas of TTP prolongation on PW images (median volume, 162 cm3; range, 8 to 450 cm3). However, in only 6 of 10 patients was an elevated OEF identified on PET images (median volume, 65 cm3; range, 12 to 240 cm3). The areas of OEF elevation were always located within the areas of TTP prolongation but were significantly smaller and covered only 8% to 58% (median, 33%) of the TTP area. These preliminary data demonstrate a high sensitivity but a low specificity of the chosen threshold to identify penumbral tissue as defined by PET: in 40% of the patients with TTP >4, no OEF elevation was found. In the remaining 60% with OEF elevation and TTP >4, only a third of the TTP volume corresponded to elevated OEF. These findings may explain the poor relation between increased OEF and TTP values in a correlation analysis based on volumes of interest. The results of our small patient sample indicate that TTP threshold >4 seconds does not sufficiently discriminate between normal and increased OEF in ischemic tissue.
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| Conclusion |
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Received June 15, 2004; revision received July 30, 2004; accepted August 5, 2004.
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