影像组学在急性缺血性卒中中的应用进展

Review of the Application of Radiomics in Acute Ischemic Stroke

作为一个快速发展的研究领域,影像组学可以提取和量化医学图像中的信息,获取反映病变的特征,帮助解决临床问题。基于CT和MRI的影像组学在急性缺血性卒中(acuteischemicstroke,AIS)的诊断中具有非常广阔的应用前景。影像组学的工作流程主要有图像采集、感兴趣区和感兴趣体积的分割、高通量影像组学特征提取以及统计学分析和预测模型建立。影像组学在AIS中的应用侧重于诊断卒中及其亚型、指导临床治疗决策以及预测AIS的预后等方面。目前,影像组学在AIS中的应用和研究尚存在序列相对单一、缺乏与其他人工智能技术的比较、研究样本量相对较小等局限性,但随着技术的成熟,其临床应用前景广阔。

Radiomics,a rapidly expanding field of study,can extract and quantify information from medical images,derive features that reflect lesions,and aid in the resolution of clinical problems.Radiomics based on CT and MRI provides a wide range of potential applications in the diagnosis of acute ischemic stroke(AIS).The workflow of radiomics mainly includes image acquisition,segmentation of regions of interest and volumes of interest,high throughput radiomics feature extraction,statistical analysis,and predictive model development.Radiomics in AIS is primarily used to diagnose stroke and its subtypes,guide therapeutic treatment decisions,and predict the prognosis of AIS.Currently,the use and research of radiomics in AIS are limited by relatively single sequence,lack of comparison with other artificial intelligence technologies,and relatively small sample size of the studies.However,as the technology matures,its clinical application prospects are extensive.