Validation of an automated ASPECTS method on non-contrast computed tomography scans of acute ischemic stroke patients

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F20%3A00072900" target="_blank" >RIV/00159816:_____/20:00072900 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14110/20:00116153

Result on the web

<a href="https://journals.sagepub.com/doi/10.1177/1747493019895702" target="_blank" >https://journals.sagepub.com/doi/10.1177/1747493019895702</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1177/1747493019895702" target="_blank" >10.1177/1747493019895702</a>

Result language

angličtina

Original language name

Validation of an automated ASPECTS method on non-contrast computed tomography scans of acute ischemic stroke patients

Original language description

Background The Alberta Stroke Program Early CT Score (ASPECTS) is a systematic method of assessing the extent of early ischemic change on non-contrast computed tomography in patients with acute ischemic stroke. Our objective was to validate an automated ASPECTS scoring method we recently developed on a large data set. Materials and methods We retrospectively collected 602 acute ischemic stroke patients&apos; non-contrast computed tomography scans. Expert ASPECTS readings on non-contrast computed tomography were compared to automated ASPECTS. Statistical analyses on the total ASPECTS, region level ASPECTS, and dichotomized ASPECTS (&lt;= 4 vs. &gt;4) score were conducted. Results In total, 602 scans were evaluated and 6020 (602 x 10) ASPECTS regions were scored. Median time from stroke onset to computed tomography was 114 min (interquartile range: 73-183 min). Total ASPECTS for the 602 patients generated by the automated method agreed well with expert readings (intraclass correlation coefficient): 0.65 (95% confidence interval (CI): 0.60-0.69). Region level analysis showed that the automated method yielded accuracy of 81.25%, sensitivity of 61.13% (95% CI: 58.4%-63.8%), specificity of 86.56% (95% CI: 85.6%-87.5%), and area under curve of 0.74 (95% CI: 0.73-0.75). For dichotomized ASPECTS (&lt;= 4 vs. &gt;4), the automated method demonstrated sensitivity 97.21% (95% CI: 95.4%-98.4%), specificity 57.81% (95% CI: 44.8%-70.1%), accuracy 93.02%, and area under the curve of 0.78 (95% CI: 0.74-0.81). For each individual region (M1-6, lentiform, insula, and caudate), the automated method demonstrated acceptable performance. Conclusion The automated system we developed approached the stroke expert in performance when scoring ASPECTS on non-contrast computed tomography scans of acute ischemic stroke patients.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30210 - Clinical neurology

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Journal of Stroke

ISSN

1747-4930

e-ISSN

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Volume of the periodical

15

Issue of the periodical within the volume

5

Country of publishing house

US - UNITED STATES

Number of pages

7

Pages from-to

528-534

UT code for WoS article

000503584300001

EID of the result in the Scopus database

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