Perfusion MRI (Tmax and MTT) correlation with xenon CT cerebral blood flow in stroke patients

Background: While stable xenon CT (Xe-CT) cerebral blood flow (CBF) is an accepted standard for quantitative assessment of cerebral hemodynamics, the accuracy of magnetic resonance perfusion-weighted imaging (PWI-MRI) is unclear. The Improved PWI Methodology in Acute Clinical Stroke Study compares PWI findings with Xe-CT CBF values in patients experiencing symptomatic severe cerebral hypoperfusion. Methods: We compared mean transit time (MTT) and Tmax PWI-MRI with the corresponding Xe-CT CBF values in 25 coregistered regions of interest (ROIs) of multiple sizes and locations in nine subacute stroke patients. Comparisons were performed with Pearson correlation coefficients (R). We performed receiver operating characteristic (ROC) curve analyses to define the threshold of Tmax and absolute MTT that could best predict a Xe-CT CBF <20 mL/100 g/minute. Results: The subjects’ mean (SD) age was 50 (15) years, the median (interquartile range [IQR]) NIH Stroke Scale score was 2 (2–6), and the median (IQR) time between MRI and Xe-CT was 12 (−7–19) hours. The total number of ROIs was 225, and the median (IQR) ROI size was 550 (360–960) pixels. Tmax correlation with Xe-CT CBF (R = 0.63, p < 0.001) was stronger than absolute MTT (R = 0.55, p < 0.001), p = 0.049. ROC curve analysis found that Tmax >4 seconds had 68% sensitivity, 80% specificity, and 77% accuracy and MTT >10 seconds had 68% sensitivity, 77% specificity, and 75% accuracy for predicting ROIs with Xe-CT CBF <20 mL/100 g/minute. Conclusion: Our results suggest that in subacute ischemic stroke patients, Tmax correlates better than absolute mean transit time (MTT) with xenon CT cerebral blood flow (Xe-CT CBF) and that both Tmax >4 seconds and MTT >10 seconds are strongly associated with Xe-CT CBF <20 mL/100 g/minute. CBF = cerebral blood flow; DBP = diastolic blood pressure; DEFUSE = Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution; DWI = diffusion-weighted imaging; EPITHET = Echoplanar Imaging Thrombolytic Evaluation Trial; FOV = field of view; ICA = internal carotid artery; IQR = interquartile range; MCA = middle cerebral artery; MTT = mean transit time; NIHSS = NIH Stroke Scale; PWI = perfusion-weighted imaging; PWI-MRI = magnetic resonance perfusion-weighted imaging; ROC = receiver operating characteristic; ROI = region of interest; SBP = systolic blood pressure; SVD = singular value decomposition; Xe-CT = xenon CT.

[1]  E. Levy,et al.  Reversible ischemia determined by xenon-enhanced CT after 90 minutes of complete basilar artery occlusion. , 1998, AJNR. American journal of neuroradiology.

[2]  D Gur,et al.  Stable xenon CT cerebral blood flow imaging: rationale for and role in clinical decision making. , 1991, AJNR. American journal of neuroradiology.

[3]  B. Rosen,et al.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part II: Experimental comparison and preliminary results , 1996, Magnetic resonance in medicine.

[4]  Alastair J. Martin,et al.  Magnetic Resonance Perfusion Tracks 133Xe Cerebral Blood Flow Changes After Carotid Stenting , 2005, Stroke.

[5]  Keith Muir,et al.  Effects of alteplase beyond 3 h after stroke in the Echoplanar Imaging Thrombolytic Evaluation Trial (EPITHET): a placebo-controlled randomised trial , 2008, The Lancet Neurology.

[6]  D. Gadian,et al.  Quantification of perfusion using bolus tracking MRI in stroke - Assumptions, limitations, and potential implications for clinical use , 2002 .

[7]  Leif Østergaard,et al.  How Reliable Is Perfusion MR in Acute Stroke?: Validation and Determination of the Penumbra Threshold Against Quantitative PET , 2008, Stroke.

[8]  H. Yonas,et al.  Xenon-enhanced computed tomography cerebral blood flow measurements in acute cerebral ischemia: Review of 56 cases. , 1999, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.

[9]  H. Yonas,et al.  Xenon CT cerebral blood flow in acute stroke. , 2005, Neuroimaging clinics of North America.

[10]  Jeffry R Alger,et al.  Perfusion-Weighted Magnetic Resonance Imaging Thresholds Identifying Core, Irreversibly Infarcted Tissue , 2003, Stroke.

[11]  H. Yonas,et al.  The utility of XeCT cerebral blood flow in the management of acute stroke. , 2000, The Keio journal of medicine.

[12]  Scott Hamilton,et al.  Magnetic resonance imaging profiles predict clinical response to early reperfusion: The diffusion and perfusion imaging evaluation for understanding stroke evolution (DEFUSE) study , 2006, Annals of neurology.

[13]  R. Bammer,et al.  Optimal Tmax Threshold for Predicting Penumbral Tissue in Acute Stroke , 2009, Stroke.

[14]  W. Yuh,et al.  Guidelines and recommendations for perfusion imaging in cerebral ischemia: A scientific statement for healthcare professionals by the writing group on perfusion imaging, from the Council on Cardiovascular Radiology of the American Heart Association. , 2003, Stroke.

[15]  William J Powers,et al.  Variability of cerebral blood volume and oxygen extraction: stages of cerebral haemodynamic impairment revisited. , 2002, Brain : a journal of neurology.

[16]  D G Gadian,et al.  Quantification of Perfusion Using Bolus Tracking Magnetic Resonance Imaging in Stroke: Assumptions, Limitations, and Potential Implications for Clinical Use , 2002, Stroke.

[17]  A. Fingerhut,et al.  Laparoscopic Approach to Colonic Cancer: Critical Appraisal of the Literature , 2007, Digestive Diseases.

[18]  U Piepgras,et al.  Correlation of regional cerebral blood flow measured by stable xenon CT and perfusion MRI. , 1999, Journal of computer assisted tomography.

[19]  Iwao Kanno,et al.  Cerebral Vascular Mean Transit Time in Healthy Humans: A Comparative Study with PET and Dynamic Susceptibility Contrast-Enhanced MRI , 2007, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[20]  J. Alger,et al.  Beyond Mismatch: Evolving Paradigms in Imaging the Ischemic Penumbra With Multimodal Magnetic Resonance Imaging , 2003, Stroke.

[21]  B. Rosen,et al.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis , 1996, Magnetic resonance in medicine.