Tractostorm: The what, why, and how of tractography dissection reproducibility
Tractostorm: The what, why, and how of tractography dissection reproducibility
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DOI：
10.1002/hbm.24917
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发表时间：
2020-01-10
影响因子：
4.8
通讯作者：
Descoteaux, Maxime
中科院分区：
文献类型：
--
作者：
Rheault, Francois;De Benedictis, Alessandro;Descoteaux, Maxime
利用弥散性MRI （dMRI）神经束造影对脑白质（WM）结构进行调查研究，通常需要人工对脑白质束进行分割，这通常被称为“虚拟解剖”。人为错误和个人决定使得这些手工分割难以重现，这还没有被dMRI社区量化。我们认为，如果dMRI束造影领域想要作为一种广泛的临床工具被认真对待，就必须协调WM束分割并制定旨在用于临床设置的协议。EADC-ADNI海马协调协议通过一系列步骤实现了这种标准化，这些步骤必须针对每个WM束进行复制。本文是对问题的一种观察。为了提供一个真实的示例，我们使用了一个特定的包分割协议，但是本文的贡献在于讨论对可再现性和标准化协议的需求，就像对任何测量工具一样。这项研究需要来自不同实验室和医院的11名神经解剖学专家和13名非专家参与，并进行“虚拟解剖”。评分者之间的一致性（Dice评分）约为0.77，而评分者之间的一致性约为0.65。提供给参与者的协议不一定是最佳的，但其设计在本质上模仿了未来协议的要求。在没有足够的可重复性评分的情况下，报告束测结果，如平均分数各向异性、体积或流线计数，可能会使分析和解释变得更加困难。在这个开放和协作的科学时代，需要扩散MRI束成像社区的协调努力来量化和解释WM束提取协议的可重复性。
Investigative studies of white matter (WM) brain structures using diffusion MRI (dMRI) tractography frequently require manual WM bundle segmentation, often called "virtual dissection." Human errors and personal decisions make these manual segmentations hard to reproduce, which have not yet been quantified by the dMRI community. It is our opinion that if the field of dMRI tractography wants to be taken seriously as a widespread clinical tool, it is imperative to harmonize WM bundle segmentations and develop protocols aimed to be used in clinical settings. The EADC-ADNI Harmonized Hippocampal Protocol achieved such standardization through a series of steps that must be reproduced for every WM bundle. This article is an observation of the problematic. A specific bundle segmentation protocol was used in order to provide a real-life example, but the contribution of this article is to discuss the need for reproducibility and standardized protocol, as for any measurement tool. This study required the participation of 11 experts and 13 nonexperts in neuroanatomy and "virtual dissection" across various laboratories and hospitals. Intra-rater agreement (Dice score) was approximately 0.77, while inter-rater was approximately 0.65. The protocol provided to participants was not necessarily optimal, but its design mimics, in essence, what will be required in future protocols. Reporting tractometry results such as average fractional anisotropy, volume or streamline count of a particular bundle without a sufficient reproducibility score could make the analysis and interpretations more difficult. Coordinated efforts by the diffusion MRI tractography community are needed to quantify and account for reproducibility of WM bundle extraction protocols in this era of open and collaborative science.