A benchmarking tool to evaluate computer tomography perfusion infarct core predictions against a DWI standard

被引：161

作者：

Cereda, Carlo W. ^{[1
,2
]}

Christensen, Soren ^{[1
]}

Campbell, Bruce C. V. ^{[3
,4
,5
]}

Mishra, Nishant K. ^{[1
]}

Mlynash, Michael ^{[1
]}

Levi, Christopher

Straka, Matus ^{[1
]}

Wintermark, Max ^{[1
]}

Bammer, Roland ^{[1
]}

Albers, Gregory W. ^{[1
]}

Parsons, Mark W. ^{[6
,7
]}

Lansberg, Maarten G. ^{[1
]}

机构：

[1] Stanford Univ, Med Ctr, Stanford Stroke Ctr, Stanford, CA 94305 USA

[2] Stroke Ctr Neuroctr EOC Southern Switzerland, Lugano, Switzerland

[3] Univ Melbourne, Royal Melbourne Hosp, Dept Med, Melbourne Brain Ctr, Parkville, Vic, Australia

[4] Univ Melbourne, Royal Melbourne Hosp, Dept Neurol, Melbourne Brain Ctr, Parkville, Vic, Australia

[5] Univ Melbourne, Royal Melbourne Hosp, Dept Radiol, Parkville, Vic, Australia

[6] Univ Newcastle, Dept Neurol, John Hunter Hosp, Newcastle, NSW, Australia

[7] Hunter Med Res Inst, Newcastle, NSW, Australia

来源：

JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM | 2016年 / 36卷 / 10期

基金：

英国医学研究理事会;

关键词：

Cerebrovascular disease; brain imaging; brain ischemia; cerebral blood flow measurement; diffusion weighted MRI; CEREBRAL-BLOOD-FLOW; VOLUME MEASUREMENTS; ACUTE STROKE; CT; TIME; RELIABILITY; THRESHOLDS; MISMATCH; PENUMBRA; PROFILE;

D O I：

10.1177/0271678X15610586

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Differences in research methodology have hampered the optimization of Computer Tomography Perfusion (CTP) for identification of the ischemic core. We aim to optimize CTP core identification using a novel benchmarking tool. The benchmarking tool consists of an imaging library and a statistical analysis algorithm to evaluate the performance of CTP. The tool was used to optimize and evaluate an in-house developed CTP-software algorithm. Imaging data of 103 acute stroke patients were included in the benchmarking tool. Median time from stroke onset to CT was 185min (IQR 180-238), and the median time between completion of CT and start of MRI was 36min (IQR 25-79). Volumetric accuracy of the CTP-ROIs was optimal at an rCBF threshold of <38%; at this threshold, the mean difference was 0.3ml (SD 19.8ml), the mean absolute difference was 14.3 (SD 13.7) ml, and CTP was 67% sensitive and 87% specific for identification of DWI positive tissue voxels. The benchmarking tool can play an important role in optimizing CTP software as it provides investigators with a novel method to directly compare the performance of alternative CTP software packages.

引用

页码：1780 / 1789

页数：10