Real-time diffusion-perfusion mismatch analysis in acute stroke.
Real-time diffusion-perfusion mismatch analysis in acute stroke.
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DOI：
10.1002/jmri.22338
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发表时间：
2010-11
影响因子：
4.4
通讯作者：
Bammer, Roland
中科院分区：
文献类型：
--
作者：
Straka, Matus;Albers, Gregory W.;Bammer, Roland
扩散-灌注不匹配可用于识别急性脑卒中患者可能受益于再灌注治疗。早期评估的不匹配有助于必要的诊断和治疗决策的急性卒中。我们开发了灌注和扩散快速处理（RApid），用于无监督、全自动处理灌注和扩散数据，以加快常规临床评估。RAPID系统使用组织和动脉信号的反卷积计算定量灌注图（CBV， CBF， MTT和Tmax）。DWI/PWI不匹配是通过ADC图的梗死核心分割和Tmax图分割的灌注缺陷自动确定的。在63例急性脑卒中病例中，RAPID的性能被评估，其中扩散和灌注病变体积由人类阅读器和RAPID系统概述。两种方法获得的病变轮廓体积的相关性DWI为r2 = 0.99， PWI为r2 = 0.96。对于错配鉴定，RAPID的灵敏度为100%，特异性为91%。不匹配信息在5-7分钟内可在医院的PACS上获得。结果表明，自动化系统足够准确和快速，足以用于常规护理和临床试验。
Diffusion-perfusion mismatch can be used to identify acute stroke patients that could benefit from reperfusion therapies. Early assessment of the mismatch facilitates necessary diagnosis and treatment decisions in acute stroke. We developed the RApid processing of PerfusIon and Diffusion (RAPID) for unsupervised, fully automated processing of perfusion and diffusion data for the purpose of expedited routine clinical assessment. The RAPID system computes quantitative perfusion maps (CBV, CBF, MTT, and Tmax) using deconvolution of tissue and arterial signals. DWI/PWI mismatch is automatically determined using infarct core segmentation of ADC maps and perfusion deficits segmented from Tmax maps. The performance of the RAPID was evaluated on 63 acute stroke cases, in which diffusion and perfusion lesion volumes were outlined by both a human reader and the RAPID system. The correlation of outlined lesion volumes obtained from both methods was r2 = 0.99 for DWI and r2 = 0.96 for PWI. For mismatch identification, RAPID showed 100% sensitivity and 91% specificity. The mismatch information is made available on the hospital's PACS within 5-7 minutes. Results indicate that the automated system is sufficiently accurate and fast enough to be used for routine care as well as in clinical trials.
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影响因子：
19.7
作者：
AXEL, L
通讯作者：
AXEL, L
影响因子：
3.3
作者：
MEIER, P;ZIERLER, KL
通讯作者：
ZIERLER, KL
影响因子：
11
作者：
Ma, H.;Zavala, J. A.;Donnan, G. A.
通讯作者：
Donnan, G. A.
DOI：
10.1007/s10334-010-0217-8
发表时间：
2010-06-01
影响因子：
2.3
作者：
Gall, Peter;Emerich, Philipp;Kiselev, Valerij G.
通讯作者：
Kiselev, Valerij G.
影响因子：
5.5
作者：
CHACALOS, EH
通讯作者：
CHACALOS, EH