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Alberta Stroke Program Early CT Score Calculation Using the Deep Learning-Based Brain Hemisphere Comparison Algorithm


Ischemic stroke is a disease in which a cerebral blood vessel becomes occluded for some reason. To determine a treatment plan, it is important to evaluate size of hyperacute stroke lesions from non-contrast CT which is the first choice of imaging examination. The Alberta Stroke Program Early CT Score (ASPECTS) is a 10-point quantitative topographic CT scan score widely used for patients with acute stroke, with a score of 7 or higher generally indicating endovascular treatment. In this paper [1], authors validate ASPECTS calculation software developed by deep learning based on brain hemisphere comparison algorithm (3D-BHCA) (Figure 1). For more information on the 3D-BHCA model, please refer to this link. The proposed software was superior or equal to stroke neurologists in performing ASPECTS calculation in patients with acute stroke and non-stroke patients (Table 1,2). In the future, this software will help more accurate assessments of a brain infarction on CT and planning the most appropriate treatment. 

Table 1. Region-based analysis of 5 stroke neurologists and 3D-BHCA model. [1]

Table 2. Dichotomized ASPECTS > 5 analysis of 5 stroke neurologists and 3D-BHCA model. [1]
[1] Naganuma, Masaki, et al. “Alberta stroke program early CT score calculation using the deep learning-based brain hemisphere comparison algorithm.” Journal of Stroke and Cerebrovascular Diseases 30.7 (2021): 105791.

DOI: https://doi.org/10.1016/j.jstrokecerebrovasdis.2021.105791

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