Literature DB >> 23954606

Ischemic stroke in evolution: predictive value of perfusion computed tomography.

Amir Kheradmand1, Marc Fisher2, David Paydarfar2.   

Abstract

BACKGROUND: Various perfusion computed tomography (PCT) parameters have been used to identify tissue at risk of infarction in the setting of acute stroke. The purpose of this study was to examine predictive value of the PCT parameters commonly used in clinical practice to define ischemic penumbra. The patient selection criterion aimed to exclude the effect of thrombolysis from the imaging data.
METHODS: Consecutive acute stroke patients were screened and a total of 18 patients who initially underwent PCT and CT angiogram (CTA) on presentation but did not qualify to receive thrombolytic therapy were selected. The PCT images were postprocessed using a delay-sensitive deconvolution algorithm. All the patients had follow-up noncontrast CT or magnetic resonance imaging to delineate the extent of their infarction. The extent of lesions on PCT maps calculated from mean transit time (MTT), time to peak (TTP), cerebral blood flow, and cerebral blood volume were compared and correlated with the final infarct size. A collateral grading score was used to measure collateral blood supply on the CTA studies.
RESULTS: The average size of MTT lesions was larger than infarct lesions (P < .05). The correlation coefficient of TTP/infarct lesions (r = .95) was better than MTT/infarct lesions (r = .66) (P = .004).
CONCLUSIONS: A widely accepted threshold to define MTT lesions overestimates the ischemic penumbra. In this setting, TTP with appropriate threshold is a better predictor of infarct in acute stroke patients. The MTT/TTP mismatch correlates with the status of collateral blood supply to the tissue at risk of infarction.
Copyright © 2014 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computed tomography; mean transit time; perfusion; stroke; time to peak

Mesh:

Year:  2013        PMID: 23954606     DOI: 10.1016/j.jstrokecerebrovasdis.2013.07.014

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  4 in total

1.  Optimization of the method for assessment of brain perfusion in humans using contrast-enhanced reflectometry: multidistance time-resolved measurements.

Authors:  Daniel Milej; Dariusz Janusek; Anna Gerega; Stanislaw Wojtkiewicz; Piotr Sawosz; Joanna Treszczanowicz; Wojciech Weigl; Adam Liebert
Journal:  J Biomed Opt       Date:  2015-10       Impact factor: 3.170

2.  Spectroscopy of reperfused tissue after stroke reveals heightened metabolism in patients with good clinical outcomes.

Authors:  Andrew Bivard; Venkatesh Krishnamurthy; Peter Stanwell; Nawaf Yassi; Neil J Spratt; Michael Nilsson; Christopher R Levi; Stephen Davis; Mark W Parsons
Journal:  J Cereb Blood Flow Metab       Date:  2014-10-01       Impact factor: 6.200

3.  CT Permeability Imaging Predicts Clinical Outcomes in Acute Ischemic Stroke Patients Treated with Intra-arterial Thrombolytic Therapy.

Authors:  Nan Liu; Hui Chen; Bing Wu; Ying Li; Max Wintermark; Alan Jackson; Jun Hu; Yongwei Zhang; Zihua Su; Guangming Zhu; Weiwei Zhang
Journal:  Mol Neurobiol       Date:  2016-03-18       Impact factor: 5.590

Review 4.  A Review on Computer Aided Diagnosis of Acute Brain Stroke.

Authors:  Mahesh Anil Inamdar; Udupi Raghavendra; Anjan Gudigar; Yashas Chakole; Ajay Hegde; Girish R Menon; Prabal Barua; Elizabeth Emma Palmer; Kang Hao Cheong; Wai Yee Chan; Edward J Ciaccio; U Rajendra Acharya
Journal:  Sensors (Basel)       Date:  2021-12-20       Impact factor: 3.576

  4 in total

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