中国神经再生研究(英文版)

• 原著:退行性病与再生 • 上一篇    下一篇

18F-FDG PET显像帕金森病患者代谢脑网络:对神经元损伤与再生的评价

  

  • 收稿日期:2014-03-19 出版日期:2014-04-15 发布日期:2014-04-15

The metabolic brain network in patients with Parkinson’s disease based on 18F-FDG PET imaging: evaluation of neuronal injury and regeneration

Jingjie Ge, Ping Wu, Chuantao Zuo   

  1. PET Center, Huashan Hospital, Fudan University, Shanghai 200235, China
  • Received:2014-03-19 Online:2014-04-15 Published:2014-04-15
  • Contact: Chuantao Zuo, PET Center, Huashan Hospital, Fudan University, No. 518 East Wuzhong Road, Xuhui District, Shanghai, China, zuoct_cn2000@126.com.
  • Supported by:

    This work was supported by grants from the China-US Biomedical Collaborative Research Program (No. 81361120393) and the National Foundation of Natural Science of China (No.81171189).

摘要:

在过去的二十年中,功能成像技术的发展极大促进了学科界对神经退行性疾病过程中神经元变化的认识。复旦大学附属华山医院的左传涛教授提出的18F -FDG PET显像的空间方差分析的应用模式证明在帕金森病的临床诊断及疾病进展的监测和临床治疗前后神经元变化的评估中有着重要作用,未来它可能成为一种目标生物标志物相关疾病的监测、评估和组织学、细胞学、功能学评价的重要方法之一。

Abstract:

Over the past two decades, the development of functional imaging methods has greatly promoted our understanding on the changes of neurons following neurodegenerative disorders. Prof. Chuantao Zuo from Fudan University in China proposed that the application of a spatial covariance analysis on 18F-FDG PET imaging has led to the identification of a distinctive disease-related metabolic pattern. This pattern has proven to be useful in clinical diagnosis, disease progression monitoring as well as assessment of the neuronal changes before and after clinical treatment. It may potentially serve as an objective biomarker on disease progression monitoring , assessment , histological and functional evaluation of for related diseases.