Poston Kathleen L, Eidelberg David
PET Clin. 2010 Jan 1;5(1):55-64. doi: 10.1016/j.cpet.2009.12.004.
Network analysis of (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is an innovative approach for the study of in movement disorders, such as Parkinson's disease (PD). Spatial covariance analysis of imaging data acquired from PD patients has revealed characteristic regional patterns associated with the motor and cognitive features of disease. Quantification of pattern expression in individual patients can be used for diagnosis, assessment of disease severity, and evaluation of novel medical and surgical therapies. Identification of disease-specific patterns in other parkinsonian syndromes, such as multiple system atrophy and progressive supranuclear palsy, has improved diagnostic accuracy in patients with difficult to diagnose parkinsonism. Further developments of these techniques are likely to enhance the role of functional imaging in investigating underlying abnormalities and potential new therapies in these neurodegenerative diseases.
(18)F-氟脱氧葡萄糖(FDG)正电子发射断层扫描(PET)的网络分析是研究运动障碍(如帕金森病(PD))的一种创新方法。对PD患者获取的成像数据进行空间协方差分析,揭示了与疾病的运动和认知特征相关的特征性区域模式。个体患者模式表达的量化可用于诊断、疾病严重程度评估以及新型药物和手术治疗的评估。在其他帕金森综合征(如多系统萎缩和进行性核上性麻痹)中识别疾病特异性模式,提高了难以诊断的帕金森病患者的诊断准确性。这些技术的进一步发展可能会增强功能成像在研究这些神经退行性疾病潜在异常和潜在新疗法方面的作用。