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MRI 生物标志物的交互元分析:髓鞘

An interactive meta-analysis of MRI biomarkers of myelin.

机构信息

Department of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom.

NeuroPoly Lab, Polytechnique Montreal, Montreal, Canada.

出版信息

Elife. 2020 Oct 21;9:e61523. doi: 10.7554/eLife.61523.

Abstract

Several MRI measures have been proposed as in vivo biomarkers of myelin, each with applications ranging from plasticity to pathology. Despite the availability of these myelin-sensitive modalities, specificity and sensitivity have been a matter of discussion. Debate about which MRI measure is the most suitable for quantifying myelin is still ongoing. In this study, we performed a systematic review of published quantitative validation studies to clarify how different these measures are when compared to the underlying histology. We analyzed the results from 43 studies applying meta-analysis tools, controlling for study sample size and using interactive visualization (https://neurolibre.github.io/myelin-meta-analysis). We report the overall estimates and the prediction intervals for the coefficient of determination and find that MT and relaxometry-based measures exhibit the highest correlations with myelin content. We also show which measures are, and which measures are not statistically different regarding their relationship with histology.

摘要

已经提出了几种 MRI 测量方法作为髓鞘的体内生物标志物,每种方法的应用范围从可塑性到病理学都有涉及。尽管有这些髓鞘敏感的模态,但特异性和敏感性一直是讨论的问题。关于哪种 MRI 测量最适合量化髓鞘的争论仍在继续。在这项研究中,我们对已发表的定量验证研究进行了系统综述,以阐明与潜在组织学相比,这些测量方法有何不同。我们使用元分析工具分析了 43 项研究的结果,控制了研究样本量,并使用交互式可视化(https://neurolibre.github.io/myelin-meta-analysis)。我们报告了决定系数的总体估计值和预测区间,并发现 MT 和基于弛豫率的测量方法与髓鞘含量的相关性最高。我们还显示了哪些测量方法与组织学具有统计学上的显著相关性,哪些则没有。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a75b/7647401/6f34f9602f34/elife-61523-fig1.jpg

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