Stroke Patients with ICAS Assessment

An area under the receiver operating characteristic (AUROC) test was used to assess the internal and external validity and the chunk- and branch-level accuracy. First, we tested the performance of the algorithm in a set of independent stroke patients with ICAS. The structural dissimilarities in the cerebral arterial configuration between the healthy standard controls and those with stroke with ICAS were expected to indicate the clinical relevance of this algorithm in subjects with pathological conditions.

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Hong S.W., Song H.N., Choi J.U., Cho H.H., Baek I.Y., Lee J.E., Kim Y.C., Chung D., Chung J.W., Bang O.Y., Kim G.M., Park H.J., Liebeskind D.S, & Seo W.K. (2023). Automated in-depth cerebral arterial labelling using cerebrovascular vasculature reframing and deep neural networks. Scientific Reports, 13, 3255.

Publication 2023

Arterial Icas Pathological conditions Patients Stroke

Corresponding Organization :

Other organizations : Samsung Medical Center, Sungkyunkwan University, Konyang University, Yonsei University, Samsung (South Korea)

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Variable analysis

independent variables

Algorithm performance

dependent variables

Internal validity
External validity
Chunk-level accuracy
Branch-level accuracy

control variables

Healthy standard controls
Stroke patients with ICAS

controls

Positive control: Healthy standard controls
Negative control: Stroke patients with ICAS

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