摘要
缺血性脑卒中具有高致残率与高病死率,早期精准影像评估对血管内治疗决策及预后判断至关重要。然而,传统影像评估手段存在显著局限性。平扫CT对超急性期病灶识别敏感性低,病因分型、ASPECTS评分等人工判读方式主观性强、耗时长且一致性差。人工智能(artificial intelligence,AI)技术为解决上述问题提供了新路径。已有大量学者对影像AI在缺血性脑卒中关键领域的应用价值进行了深入研究并取得了重要进展。本文对影像AI辅助缺血性脑卒中的病因分型、病灶自动识别与分割、梗死核心和缺血半暗带量化分析、ASPECTS评分自动化等方面的研究进行综述,探讨当前研究的局限性及其未来的研究方向,旨在为缺血性脑卒中的AI辅助诊断工具开发提供参考,助力建立快速、客观、可重复的卒中影像评估流程,改善患者临床结局。
Ischemic stroke is characterized by high rates of disability and mortality,and early precise imaging evaluation is crucial for endovascular treatment decision-making and prognosis prediction.However,conventional imaging assessment methods have significant limitations.Non-contrast CT has low sensitivity in detecting hyperacute infarcts,while manual interpretation methods such as etiology classification and ASPECTS scoring are subjective,time-consuming,and poorly reproducible.Artificial intelligence(AI)technology offers a promising approach to address these challenges.Extensive research has been conducted on the value of imaging-based AI in key areas of ischemic stroke,with important progress achieved.This article reviews studies on the application of imaging AI in assisting ischemic stroke etiology classification,automated lesion identification and segmentation,quantitative analysis of infarct core and ischemic penumbra,and automation of ASPECTS scoring.It also discusses the limitations of current research and future directions,aiming to provide references for the development of AI-assisted diagnostic tools for ischemic stroke and to facilitate the establishment of a rapid,objective,and reproducible stroke imaging assessment process to improve patient outcomes.
作者
蒋全
龙小武
吴元魁
JIANG Quan;LONG Xiaowu;WU Yuankui(Department of Medical Imaging,Nanfang Hospital,Southern Medical University,Guangzhou 510515,China;Department of Radiology,Yunfu People's Hospital,Yunfu 527300,China)
出处
《磁共振成像》
北大核心
2026年第2期169-174,181,共7页
Chinese Journal of Magnetic Resonance Imaging
基金
广东省自然科学基金项目(编号:2023A1515011453)。
关键词
人工智能
卒中
缺血性脑卒中
磁共振成像
体层摄影术
X线计算机
artificial intelligence
stroke
ischemic stroke
magnetic resonance imaging
tomography,X-ray computed
