Research progress of clinical application of ASPECT score in acute ischemic stroke

doi:10.3969/j.issn.1674-8115.2022.07.011

Abstract

Abstract:

Acute ischemic stroke (AIS) is characterized by a high rate of disability and mortality, and rapid and accurate diagnosis and appropriate treatment are the keys. The severity of AIS patients depends on the location of early ischemic changes (EIC) in the brain tissue and the size of the lesion, so it is necessary to evaluate the patients' conditions by combining with imaging. The Alberta stroke program early CT score (ASPECT score) is a 10-point imaging score system that evaluates the EIC in the middle cerebral artery supplying region of the stroke patients in an accurate and simple way by quantifying the severity in terms of the imaging to help clinicians make medical decisions. ASPECT score is not only widely used to predict the prognosis of stroke patients, but also to identify the population benefiting from the endovascular therapy and evaluate the risk of endovascular therapy for patients. ASPECT score combined with multimodal imaging has also been used to predict ischemic core volumes and the prognosis. In recent years, with the development of artificial intelligence, automatic ASPECT scoring methods based on machine learning have emerged. This paper reviews ASPECT scoring methods, its value in the treatment and the assessment of prognosis in AIS, multimodal ASPECT scoring, and the application of automated ASPECT scoring combined with artificial intelligence.

Key words: acute ischemic stroke (AIS), Alberta stroke program early CT score (ASPECT score), prognosis, artificial intelligence

CLC Number:

R743.3

WEI Xuemin, GAO Chengjin. Research progress of clinical application of ASPECT score in acute ischemic stroke[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(7): 919-924.

TrendMD

References 39

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