帕金森病(PD)是第二大常见的神经退行性疾病。目前,PD的诊断是基于临床特征,运动症状是其核心标准,诊断准确率尚不高。影像组学可快速从医学影像图像中快速提取大量的影像特征,并将其转化为高维度的数据进行挖掘,已成为研究PD的新兴手段...帕金森病(PD)是第二大常见的神经退行性疾病。目前,PD的诊断是基于临床特征,运动症状是其核心标准,诊断准确率尚不高。影像组学可快速从医学影像图像中快速提取大量的影像特征,并将其转化为高维度的数据进行挖掘,已成为研究PD的新兴手段,被广泛应用在PD的诊断、分型、非运动症状的诊断及预后评估等领域。本文将对影像组学在帕金森病中的应用及研究进展进行综述。Parkinson’s disease (PD) is the second most common neurodegenerative disease. Currently, the diagnosis of PD is based on clinical features, with motor symptoms being the core criterion, and the diagnostic accuracy is not high. Radiomics, which can rapidly extract a large number of imaging features from medical imaging images and transform them into high-dimensional data for mining, has become an emerging means of studying PD and is widely used in the fields of diagnosis, typing, diagnosis of non-motor symptoms, and prognostic assessment of PD. In this article, we will review the application and research progress of imaging omics in Parkinson’s disease.展开更多
文摘帕金森病(PD)是第二大常见的神经退行性疾病。目前,PD的诊断是基于临床特征,运动症状是其核心标准,诊断准确率尚不高。影像组学可快速从医学影像图像中快速提取大量的影像特征,并将其转化为高维度的数据进行挖掘,已成为研究PD的新兴手段,被广泛应用在PD的诊断、分型、非运动症状的诊断及预后评估等领域。本文将对影像组学在帕金森病中的应用及研究进展进行综述。Parkinson’s disease (PD) is the second most common neurodegenerative disease. Currently, the diagnosis of PD is based on clinical features, with motor symptoms being the core criterion, and the diagnostic accuracy is not high. Radiomics, which can rapidly extract a large number of imaging features from medical imaging images and transform them into high-dimensional data for mining, has become an emerging means of studying PD and is widely used in the fields of diagnosis, typing, diagnosis of non-motor symptoms, and prognostic assessment of PD. In this article, we will review the application and research progress of imaging omics in Parkinson’s disease.
