Estimation of Ischemic Core Volume Using Computed Tomographic Perfusion

Author:

Sakai Yu1,Delman Bradley N.1,Fifi Johanna T.23,Tuhrim Stanley2,Wheelwright Danielle2,Doshi Amish H.1,Mocco J3,Nael Kambiz1

Affiliation:

1. From the Department of Radiology (Y.S., B.N.D., A.H.D., K.N.), Icahn School of Medicine at Mount Sinai, New York City, NY.

2. Department of Neurology (J.T.F., S.T., D.W.), Icahn School of Medicine at Mount Sinai, New York City, NY.

3. Department of Neurosurgery (J.T.F., J.M.), Icahn School of Medicine at Mount Sinai, New York City, NY.

Abstract

Background and Purpose— Estimation of infarction based on computed tomographic perfusion (CTP) has been challenging, mainly because of noise associated with CTP data. The Bayesian method is a robust probabilistic method that minimizes effects of oscillation, tracer delay, and noise during residue function estimation compared with other deconvolution methods. This study compares CTP-estimated ischemic core volume calculated by the Bayesian method and by the commonly used block-circulant singular value deconvolution technique. Methods— Patients were included if they had (1) anterior circulation ischemic stroke, (2) baseline CTP, (3) successful recanalization defined by thrombolysis in cerebral infarction ≥IIb, and (4) minimum infarction volume of >5 mL on follow-up magnetic resonance imaging (MRI). CTP data were processed with circulant singular value deconvolution and Bayesian methods. Two established CTP methods for estimation of ischemic core volume were applied: cerebral blood flow (CBF) method (relative CBF, <30% within the region of delay >2 seconds) and cerebral blood volume method (<2 mL per 100 g within the region of relative mean transit time >145%). Final infarct volume was determined on MRI (fluid-attenuated inversion recovery images). CTP and MRI-derived ischemic core volumes were compared by univariate and Bland-Altman analysis. Results— Among 35 patients included, the mean/median (mL) difference for CTP-estimated ischemic core volume against MRI was −4/−7 for Bayesian CBF ( P =0.770), 20/12 for Bayesian cerebral blood volume ( P =0.041), 21/10 for circulant singular value deconvolution CBF ( P =0.006), and 35/18 for circulant singular value deconvolution cerebral blood volume ( P <0.001). Among all methods, Bayesian CBF provided the narrowest limits of agreement (−28 to 19 mL) in comparison with MRI. Conclusions— Despite existing variabilities between CTP postprocessing methods, Bayesian postprocessing increases accuracy and limits variability in CTP estimation of ischemic core.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Neurology (clinical)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3