Abstract
Ischemic stroke is one of the leading causes of disability and death. To achieve timely assessments, a computer-aided diagnosis (CAD) system was proposed to perform early recognition of hyperacute ischemic stroke based on non-contrast computed tomography (NCCT). In total, 26 patients with hyperacute ischemic stroke (with onset <6 h previous) and 56 normal controls composed the image database. For each NCCT slice, textural features were extracted from Ranklet-transformed images which had enhanced local contrast. Textural differences between the two sides of an image were calculated and combined in a machine learning classifier to detect stroke areas. The proposed CAD system using Ranklet features achieved significantly higher accuracy (81% vs. 71%), specificity (90% vs. 79%), and area under the curve (Az) (0.81 vs. 0.73) than conventional textural features. Diagnostic suggestions provided by the CAD system are fast and promising and could be useful in the pipeline of hyperacute ischemic stroke assessments.
Highlights
Acute ischemic stroke continues to be a significant burden on worldwide health systems and remains one of the leading causes of disability and death
Diagnostic suggestions provided by the computer-aided diagnosis (CAD) system are fast and promising and could be useful in the pipeline of hyperacute ischemic stroke assessments
gray levelinco-occurrence matrix (GLCM) features achieved an accuracy of 71% (115/160), a sensitivity of 57% (32/56), a specificity of
Summary
Acute ischemic stroke continues to be a significant burden on worldwide health systems and remains one of the leading causes of disability and death. Intravenous alteplase administration is first-line reperfusion therapy with proven efficacy [1]. This therapy can only be given within. Recent trials proved the efficacy of a mechanical thrombectomy over medical treatment for patients with acute ischemic stroke, with a balance of equivalent rates of adverse events [2,3,4,5,6,7]. Good clinical outcomes were proven to be correlated with early vessel recanalization [8,9]. Early recognition of ischemic stroke is very critical to improving management of this disease
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