医学
分级(工程)
模态(人机交互)
临床试验
冲程(发动机)
医学物理学
神经影像学
放射科
内科学
人工智能
计算机科学
机械工程
精神科
工程类
土木工程
作者
Albert J. Yoo,Charles B.L.M. Majoie,Jens Fiehler,Xiaochuan Huo,Manabu Inoue,Gregory W. Albers,David S. Liebeskind
出处
期刊:Stroke
[Lippincott Williams & Wilkins]
日期:2025-04-28
卷期号:56 (5): 1339-1342
被引量:1
标识
DOI:10.1161/strokeaha.125.051089
摘要
Infarct detection is critically dependent on the imaging modality that is used and the criteria for defining tissue infarction. The recent trials of large-core thrombectomy used heterogeneous imaging methods to identify patients with large ischemic cores. Moreover, the Alberta Stroke Program Early CT Score methodology was not harmonized between the trials. Consequently, the large-core trial populations were distinct. To pool the populations in a clinically meaningful way, data should be pooled by imaging modality and time window. The imaging should be re-adjudicated using standardized criteria for imaging analysis and Alberta Stroke Program Early CT Score grading. This standardized approach can be disseminated into clinical practice so that the pooled treatment effect estimates can guide real-world patient care.
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