中国卒中杂志 ›› 2025, Vol. 20 ›› Issue (4): 493-499.DOI: 10.3969/j.issn.1673-5765.2025.04.014

• 综述 • 上一篇    下一篇

急性缺血性卒中发病时间评估的研究进展

池琦1,赵颖1,韩东倩1,张锶琪1,杜沛洁2,董琬玥1,徐安定1,杨振国3,孟珩1   

  1. 1 广州 510630 暨南大学附属第一医院神经内科
    2 湛江中心人民医院神经内科
    3 暨南大学附属第一医院中心实验室
  • 收稿日期:2024-08-21 出版日期:2025-04-20 发布日期:2025-04-20
  • 通讯作者: 孟珩 memphisheng@163.com
  • 基金资助:
    广州市科技计划项目(2024A03J0816)

Research Progress in Assessing the Onset Time of Acute Ischemic Stroke

CHI Qi1, ZHAO Ying1, HAN Dongqian1, ZHANG Siqi1, DU Peijie2, DONG Wanyue1, XU Anding1, YANG Zhenguo3, MENG Heng1   

  1. 1 Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
    2 Department of Neurology, Central People’s Hospital of Zhanjiang, Zhanjiang 524045, China
    3 Central Laboratory, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
  • Received:2024-08-21 Online:2025-04-20 Published:2025-04-20
  • Contact: MENG Heng, E-mail: memphisheng@163.com

摘要: 急性缺血性卒中超急性期治疗的重点是再灌注治疗,且再灌注治疗具有严格的时间依赖性。而醒后卒中患者由于发病时间不明确,其再灌注治疗决策面临挑战。本文对急性缺血性卒中患者发病时间评估的研究进展进行综述,涵盖了基于昼夜节律、影像学和人工智能的评估方法,分析了不同方法评估急性缺血性卒中患者发病时间的效能,以期为醒后卒中患者再灌注治疗的选择提供支持依据。

文章导读: 本文对评估急性缺血性卒中患者发病时间的不同方法进行总结分析,对比其评估效能,以期为醒后卒中再灌注治疗的选择提供依据。

关键词: 急性缺血性卒中; 醒后卒中; 发病时间; 影像学; 人工智能

Abstract: The focus of acute ischemic stroke treatment in the hyperacute phase is reperfusion therapy, which is strictly time-dependent. However, patients with wake-up stroke face challenges in reperfusion therapy decisions due to the unclear onset time of the disease. This article reviews the research progress in assessing the onset time of acute ischemic stroke patients, covering assessment methods based on circadian rhythms, imaging, and artificial intelligence. It analyzes the efficacy of different methods in assessing the onset time of acute ischemic stroke patients, aiming to apply these findings to wake-up stroke patients, providing a supportive basis for the selection of their reperfusion therapy.

Key words: Acute ischemic stroke; Wake-up stroke; Onset time; Imaging; Artificial intelligence

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