医学
脑血流
灌注扫描
灌注
核医学
曲线下面积
接收机工作特性
白质
冲程(发动机)
脑血容量
磁共振成像
磁共振弥散成像
心脏病学
放射科
内科学
工程类
机械工程
作者
Bruce Campbell,Søren Christensen,Christopher Levi,Patricia Desmond,Geoffrey A. Donnan,Stephen M. Davis,Mark Parsons
出处
期刊:Stroke
[Ovid Technologies (Wolters Kluwer)]
日期:2011-12-01
卷期号:42 (12): 3435-3440
被引量:378
标识
DOI:10.1161/strokeaha.111.618355
摘要
Background and Purpose— CT perfusion (CTP) is widely and rapidly accessible for imaging acute ischemic stroke but has limited validation. Cerebral blood volume (CBV) has been proposed as the best predictor of infarct core. We tested CBV against other common CTP parameters using contemporaneous diffusion MRI. Methods— Patients with acute ischemic stroke <6 hours after onset had CTP and diffusion MRI <1 hour apart, before any reperfusion therapies. CTP maps of time to peak (TTP), absolute and relative CBV, cerebral blood flow (CBF), mean transit time (MTT), and time to peak of the deconvolved tissue residue function (Tmax) were generated. The diffusion lesion was manually outlined to its maximal visual extent. Receiver operating characteristic (ROC) analysis area under the curve (AUC) was used to quantify the correspondence of each perfusion parameter to the coregistered diffusion-weighted imaging lesion. Optimal thresholds were determined (Youden index). Results— In analysis of 98 CTP slabs (54 patients, median onset to CT 190 minutes, median CT to MR 30 minutes), relative CBF performed best (AUC, 0.79; 95% CI, 0.77–81), significantly better than absolute CBV (AUC, 0.74; 95% CI, 0.73–0.76). The optimal threshold was <31% of mean contralateral CBF. Specificity was reduced by low CBF/CBV in noninfarcted white matter in cases with reduced contrast bolus intensity and leukoaraiosis. Conclusions— In contrast to previous reports, CBF corresponded with the acute diffusion-weighted imaging lesion better than CBV, although no single threshold avoids detection of false-positive regions in unaffected white matter. This relates to low signal-to-noise ratio in CTP maps and emphasizes the need for optimized acquisition and postprocessing.
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