Literature DB >> 31948385

Perfusion Computed Tomography Accurately Quantifies Collateral Flow After Acute Ischemic Stroke.

Longting Lin1, Chushuang Chen1, Huiqiao Tian1, Andrew Bivard2, Neil Spratt1,3, Christopher R Levi1, Mark W Parsons1,2.   

Abstract

Background and Purpose- This study aimed to derive and validate an optimal collateral measurement on computed tomographic perfusion imaging for patients with acute ischemic stroke. Methods- In step 1 analysis of 22 patients, the parasagittal region of the ischemic hemisphere was divided into 6 pial arterial zones to derive the optimal collateral threshold by receiver operating characteristic analysis. The collateral threshold was then used to define the collateral index in step 2. In step 2 analysis of 156 patients, the computed tomographic perfusion collateral index was compared with collateral scores on dynamic computed tomographic angiography in predicting good clinical outcome by simple regression. Results- The optimal collateral threshold was delay time >6 s (sensitivity, 88%; specificity, 92%). The computed tomographic perfusion collateral index, defined by the ratio of delay time >6 s/delay time >2 s volume, showed a significant correlation with dynamic computed tomographic angiography collateral scores (correlation coefficient, 0.62; P<0.001), with an optimal cut point of 31.8% in predicting good collateral status (sensitivity of 83% and specificity of 86%). When predicting good clinical outcome, the delay time collateral index showed a similar predictive power to dynamic computed tomographic angiography collaterals (area under the curve, 0.78 [0.67-0.83] and 0.77 [0.69-0.84], respectively; P<0.001). Conclusions- Computed tomographic perfusion can accurately quantify collateral flow after acute ischemic stroke.

Entities:  

Keywords:  area under curve; edetic acid; humans; perfusion imaging; stroke

Year:  2020        PMID: 31948385     DOI: 10.1161/STROKEAHA.119.028284

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  4 in total

1.  Ischemic Lesion Growth in Patients with a Persistent Target Mismatch After Large Vessel Occlusion.

Authors:  Shinya Tomari; Thomas Lillicrap; Carlos Garcia-Esperon; Yumi Tomari Kashida; Andrew Bivard; Longting Lin; Christopher R Levi; Neil J Spratt
Journal:  Clin Neuroradiol       Date:  2022-07-05       Impact factor: 3.649

2.  Association of CT-Based Hypoperfusion Index With Ischemic Core Enlargement in Patients With Medium and Large Vessel Stroke.

Authors:  Ali Z Nomani; Joseph Kamtchum Tatuene; Jeremy L Rempel; Thomas Jeerakathil; Ian R Winship; Khurshid A Khan; Brian H Buck; Ashfaq Shuaib; Glen C Jickling
Journal:  Neurology       Date:  2021-10-04       Impact factor: 9.910

3.  Does variability in automated perfusion software outputs for acute ischemic stroke matter? Reanalysis of EXTEND perfusion imaging.

Authors:  Andrew Bivard; Leonid Churilov; Henry Ma; Christopher Levi; Bruce Campbell; Nawaf Yassi; Atte Meretoja; Henry Zhao; Gagan Sharma; Chushuang Chen; Stephen Davis; Geoffrey Donnan; Bernard Yan; Mark Parsons
Journal:  CNS Neurosci Ther       Date:  2021-11-16       Impact factor: 5.243

4.  Developing a multivariable prediction model for functional outcome after reperfusion therapy for acute ischaemic stroke: study protocol for the Targeting Optimal Thrombolysis Outcomes (TOTO) multicentre cohort study.

Authors:  Elizabeth Holliday; Thomas Lillicrap; Timothy Kleinig; Philip M C Choi; Jane Maguire; Andrew Bivard; Lisa F Lincz; Monica Anne Hamilton-Bruce; Sushma R Rao; Marten F Snel; Paul J Trim; Longting Lin; Mark W Parsons; Bradford B Worrall; Simon Koblar; John Attia; Chris Levi
Journal:  BMJ Open       Date:  2020-04-06       Impact factor: 2.692

  4 in total

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