Detecting microstructural deviations in individuals with deep diffusion MRI tractometry.
Detecting microstructural deviations in individuals with deep diffusion MRI tractometry.
复制标题
用深扩散磁共振追踪法检测个体的微结构偏差。
DOI：
10.1038/s43588-021-00126-8
复制
发表时间：
2021-09
期刊：
影响因子：
--
通讯作者：
Jones DK
中科院分区：
文献类型：
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作者：
Chamberland M;Genc S;Tax CMW;Shastin D;Koller K;Raven EP;Cunningham A;Doherty J;van den Bree MBM;Parker GD;Hamandi K;Gray WP;Jones DK
大多数疾病的扩散磁共振成像研究依赖于大量患者和健康参与者之间的统计比较，以推断大脑中组织状态的改变。然而，临床异质性可能会极大地挑战他们的辨别力。目前尚未满足的需求是从当前的分组比较方法转向具有检测个体水平改变的组织状态的灵敏度的方法。这最终将使个体患者的微观结构异常的早期检测和解释成为可能，这是转化成像领域个性化医疗的重要一步。为此，开发了 Detect 来推进扩散磁共振成像纤维束测定法向单患者分析的方向发展。通过对多种白质通路进行操作并学习规范的微观结构特征，我们的框架捕获了白质通路模式中的特质。我们的方法为从传统的基于群体的比较到真正的个性化放射学铺平了道路，将微观结构成像从工作台带到了床边。
Most diffusion magnetic resonance imaging studies of disease rely on statistical comparisons between large groups of patients and healthy participants to infer altered tissue states in the brain; however, clinical heterogeneity can greatly challenge their discriminative power. There is currently an unmet need to move away from the current approach of group-wise comparisons to methods with the sensitivity to detect altered tissue states at the individual level. This would ultimately enable the early detection and interpretation of microstructural abnormalities in individual patients, an important step towards personalized medicine in translational imaging. To this end, Detect was developed to advance diffusion magnetic resonance imaging tractometry towards single-patient analysis. By operating on the manifold of white-matter pathways and learning normative microstructural features, our framework captures idiosyncrasies in patterns along white-matter pathways. Our approach paves the way from traditional group-based comparisons to true personalized radiology, taking microstructural imaging from the bench to the bedside.