Work

A meta-analysis of diffusion tensor imaging of substantia nigra in patients with Parkinson’s disease

Year: 2018

Type: review

Study designs: Systematic Review, Meta-Analysis

Abstract: Parkinson's disease (PD) is a common neurodegenerative disease characterized by severe, selective loss of pigmented neurons in the substantial nigra (SN). Previous studies have indicated that such loss could be detected by diffusion tensor imaging (DTI). Here, we try to consolidate current DTI data to both quantitatively determine the imaging changes in SN, as well as explore the potential use of DTI for PD diagnosis. Fourteen research articles are included in this meta-analysis, each obtained by searching PubMed, EMBASE, or Cochrane library database dated until July 2017. The articles contain 14 trials with 298 total PD patients and 283 healthy controls (HCs). The results show not only significantly lower FA values of SN in PD compared to that of HCs (WMD = -0.02, 95% CI = [-0.03, -0.02], p < 0.00001), but also a significantly higher MD in PD compared to HCs (WMD = 0.05, 95% CI = [0.03, 0.07], P < 0.0001). This indicates that the sharp difference detected between PD patients and HCs can be detected by DTI. By further analyzing the heterogeneity, we found that FA measurement of SN could be potentially used as a surrogate, noninvasive diagnostic marker toward PD diagnosis.

Source: Scientific Reports

DOI: 10.1038/s41598-018-20076-y

Authors: Xiao-Yan Deng, Li Wang, Ting-Ting Yang, Rui Li, Gang Yu

Institutions: The Affiliated Yongchuan Hospital of Chongqing Medical University, Chongqing University, Chongqing Cancer Hospital

Language: English

Topic: Parkinson's Disease Mechanisms and Treatments

Subfield: Neurology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,690