Literature DB >> 24045235

Value of perfusion computed tomography in acute ischemic stroke: diagnosis of infarct core and penumbra.

Jiawei Pan1, Jun Zhang, Weiyuan Huang, Xin Cheng, Yifeng Ling, Qiang Dong, Daoying Geng.   

Abstract

PURPOSE: This study aimed to perform an evaluation of 4 perfusion computed tomographic (PCT) parameters (relative cerebral blood flow, cerebral blood volume, mean transit time [MTT], and delay time [DT]) in a series of patients with acute ischemic stroke to find optimal parameters to predict infarct core and penumbra.
METHODS: Twenty-six patients with symptoms suggesting stroke less than 7 hours from onset were enrolled in this study. They all underwent admission and 24-hour PCT and a 24-hour diffusion-weighted imaging. Perfusion computed tomographic maps were assessed for relative reduced cerebral blood flow and cerebral blood volume and increased MTT and DT. Receiver operating characteristic curve analysis was performed to locate the optimal threshold for each parameter, using diffusion-weighted imaging as the gold standard.
RESULTS: The PCT parameter that most accurately describes the penumbra is the relative MTT of 150% or greater (area under the curve, 0.827; 95% confidence interval, 0.826-0.827), whereas the parameter that most accurately describes the infarct core is the relative DT of + 2.0 seconds or greater (area under the curve, 0.879; 95% confidence interval, 0.878-0.879).
CONCLUSIONS: The optimal parameters to define the infarct core and the penumbra are relative DT (≥+ 2.0 seconds) and relative MTT (≥ 150%).

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Year:  2013        PMID: 24045235     DOI: 10.1097/RCT.0b013e31829866fc

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  7 in total

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6.  Absolute Cerebral Blood Flow Infarction Threshold for 3-Hour Ischemia Time Determined with CT Perfusion and 18F-FFMZ-PET Imaging in a Porcine Model of Cerebral Ischemia.

Authors:  Eric A Wright; Christopher D d'Esterre; Laura B Morrison; Neil Cockburn; Michael Kovacs; Ting-Yim Lee
Journal:  PLoS One       Date:  2016-06-27       Impact factor: 3.240

7.  Artificial Intelligence Algorithm-Based MRI in Evaluating the Treatment Effect of Acute Cerebral Infarction.

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  7 in total

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