4.7 Article

A Novel Imaging Marker for Small Vessel Disease Based on Skeletonization of White Matter Tracts and Diffusion Histograms

期刊

ANNALS OF NEUROLOGY
卷 80, 期 4, 页码 581-592

出版社

WILEY
DOI: 10.1002/ana.24758

关键词

-

资金

  1. Ludwig-Maximilians-University FoFoLe program [808]
  2. Else Kroner-Fresenius-Stiftung [2014_A200]
  3. Vascular Dementia Research Foundation
  4. European Commission [PCIG12-GA-2012-334259]
  5. Netherlands Organization for Scientific Research [016.126.351]
  6. Dutch Heart Association [2010T073]
  7. ZonMw, the Netherlands Organization for Health Research and Development [91711384]
  8. ERA-NET NEURON within the Sixth European Union Framework Program [01 EW1207]
  9. ADNI (NIH) [U01 AG024904]
  10. ADNI (Department of Defense) [W81XWH-12-2-0012]
  11. NIH National Institute on Aging
  12. NIH National Institute of Biomedical Imaging and Bioengineering

向作者/读者索取更多资源

Objective: To establish a fully automated, robust imaging marker for cerebral small vessel disease (SVD) and related cognitive impairment that is easy to implement, reflects disease burden, and is strongly associated with processing speed, the predominantly affected cognitive domain in SVD. Methods: We developed a novel magnetic resonance imaging marker based on diffusion tensor imaging, skeletonization of white matter tracts, and histogram analysis. The marker (peak width of skeletonized mean diffusivity [PSMD]) was assessed along with conventional SVD imaging markers. We first evaluated associations with processing speed in patients with genetically defined SVD (n=113). Next, we validated our findings in independent samples of inherited SVD (n=57), sporadic SVD (n 5 444), and memory clinic patients with SVD (n=105). The new marker was further applied to healthy controls (n=241) and to patients with Alzheimer's disease (n = 153). We further conducted a longitudinal analysis and interscanner reproducibility study. Results: PSMD was associated with processing speed in all study samples with SVD (p-values between 2.8 x 10(-3) and 1.8 x 10(-10)). PSMD explained most of the variance in processing speed (R-2 ranging from 8.8% to 46%) and consistently outperformed conventional imaging markers (white matter hyperintensity volume, lacune volume, and brain volume) in multiple regression analyses. Increases in PSMD were linked to vascular but not to neurodegenerative disease. In longitudinal analysis, PSMD captured SVD progression better than other imaging markers. Interpretation: PSMD is a new, fully automated, and robust imaging marker for SVD. PSMD can easily be applied to large samples and may be of great utility for both research studies and clinical use.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据