Literature DB >> 27789149

Noncontrast Computed Tomography versus Computed Tomography Angiography Source Images for Predicting Final Infarct Size in Anterior Circulation Acute Ischemic Stroke: a Prospective Cohort Study.

Amritendu Mukherjee1, Prakash Muthusami2, Aneesh Mohimen3, Srinivasan K3, Babunath B3, Sylaja Pn4, Chandrasekharan Kesavadas3.   

Abstract

BACKGROUND: There has been a recent debate regarding the superiority of computed tomography angiography source images (CTASIs) over noncontrast computed tomography (NCCT) to predict the final infarct size in acute ischemic stroke (AIS). We hypothesized that the parenchymal abnormality on CTASI in faster scanners would overestimate ischemic core.
METHODS: This prospective study assessed the correlation of Alberta Stroke Program Early CT Score (ASPECTS) on NCCT, CTASI, and computed tomography perfusion (CTP) with final infarct size in patients within 8 hours of AIS. Follow-up with NCCT or diffusion-weighted magnetic resonance imaging (MRI) was performed at 24 hours. Correlations of NCCT and CTASI with final infarct size and with CTP parameters were assessed. Subgroup analysis was performed in patients who underwent intravenous thrombolysis or mechanical thrombectomy. Inter-rater reliability was tested using Spearman's rank correlation. A P value less than .05 was considered statistically significant.
RESULTS: A total of 105 patients were included in the final analysis. NCCT had a stronger correlation with the final infarct size than did CTASI (Spearman's ρ = .85 versus .78, P = .13). We found an overestimation of the final infarct size by CTASI in 47.6% of the cases, whereas NCCT underestimated infarct size in 60% of the patients. NCCT correlated most strongly with CBV (ρ = .93), whereas CTASI correlated most strongly with CBF (ρ = .87). Subgroup analysis showed less correlation of CTASI with final infarct size in the group that received thrombolysis versus the group that did not (ρ = .70 versus .88, P = .01).
CONCLUSION: In a 256-slice scanner, the CTASI parenchymal abnormality includes ischemic penumbra and thus overestimates final infarct size-this could result in inappropriate exclusion of patients from thrombolysis or thrombectomy.
Copyright © 2017 National Stroke Association. All rights reserved.

Entities:  

Keywords:  256-Slice computed tomography; ASPECTS; CT angiography source image; final infarct size; noncontrast CT

Mesh:

Substances:

Year:  2016        PMID: 27789149     DOI: 10.1016/j.jstrokecerebrovasdis.2016.09.026

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


  5 in total

1.  Computed tomography angiography-based deep learning method for treatment selection and infarct volume prediction in anterior cerebral circulation large vessel occlusion.

Authors:  Lasse Hokkinen; Teemu Mäkelä; Sauli Savolainen; Marko Kangasniemi
Journal:  Acta Radiol Open       Date:  2021-11-29

2.  Relationship of electrocardiographic changes and severity of acute cerebral ischemic stroke in old patients: A clinical observational study.

Authors:  Chao Zhang; Jidong Zhou; Ting Zhou
Journal:  Medicine (Baltimore)       Date:  2021-07-02       Impact factor: 1.817

3.  Value of Brain Computed Tomographic Angiography to Predict Post Thrombectomy Final Infarct Size and Clinical Outcome in Acute Ischemic Stroke.

Authors:  Mungkorn Apirakkan; Withawat Vuthiwong; Chai Kobkitsuksakul; Jesada Keandoungchun; Ekachat Chanthanaphak
Journal:  Asian J Neurosurg       Date:  2019-11-25

4.  Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke.

Authors:  Lasse Hokkinen; Teemu Mäkelä; Sauli Savolainen; Marko Kangasniemi
Journal:  Eur Radiol Exp       Date:  2021-06-24

5.  Performance of Automated Attenuation Measurements at Identifying Large Vessel Occlusion Stroke on CT Angiography.

Authors:  Paul Reidler; Lena Stueckelschweiger; Daniel Puhr-Westerheide; Katharina Feil; Lars Kellert; Konstantinos Dimitriadis; Steffen Tiedt; Moriz Herzberg; Jan Rémi; Thomas Liebig; Matthias P Fabritius; Wolfgang G Kunz
Journal:  Clin Neuroradiol       Date:  2020-09-16       Impact factor: 3.649

  5 in total

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