Douglas David B, Iv Michael, Douglas Pamela K, Anderson Ariana, Vos Sjoerd B, Bammer Roland, Zeineh Michael, Wintermark Max
*Department of Neuroradiology, Stanford University, Palo Alto †Jane and Terry Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, CA ‡Translational Imaging Group, University College London, London, UK.
Top Magn Reson Imaging. 2015 Oct;24(5):241-51. doi: 10.1097/RMR.0000000000000062.
Neuroimaging plays a critical role in the setting in traumatic brain injury (TBI). Diffusion tensor imaging (DTI) is an advanced magnetic resonance imaging technique that is capable of providing rich information on the brain's neuroanatomic connectome. The purpose of this article is to systematically review the role of DTI and advanced diffusion techniques in the setting of TBI, including diffusion kurtosis imaging (DKI), neurite orientation dispersion and density imaging, diffusion spectrum imaging, and q-ball imaging. We discuss clinical applications of DTI and review the DTI literature as it pertains to TBI. Despite the continued advancements in DTI and related diffusion techniques over the past 20 years, DTI techniques are sensitive for TBI at the group level only and there is insufficient evidence that DTI plays a role at the individual level. We conclude by discussing future directions in DTI research in TBI including the role of machine learning in the pattern classification of TBI.
神经影像学在创伤性脑损伤(TBI)的诊断中起着关键作用。扩散张量成像(DTI)是一种先进的磁共振成像技术,能够提供有关大脑神经解剖连接组的丰富信息。本文的目的是系统地综述DTI和先进扩散技术在TBI诊断中的作用,包括扩散峰度成像(DKI)、神经突方向离散度和密度成像、扩散谱成像以及q球成像。我们讨论了DTI的临床应用,并回顾了与TBI相关的DTI文献。尽管在过去20年中DTI和相关扩散技术不断进步,但DTI技术仅在群体水平上对TBI敏感,且没有足够证据表明DTI在个体水平上发挥作用。我们通过讨论TBI中DTI研究的未来方向来得出结论,包括机器学习在TBI模式分类中的作用。