Grant Matthew, Liu JiaJing, Wintermark Max, Bagci Ulas, Douglas David
Department of Radiology, Stanford University, 453 Quarry Road, Palo Alto, CA 94304, USA; Department of Radiology, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Rd, Bethesda, MD 20814, USA; Department of Radiology, Landstuhl Regional Medical Center, Dr Hitzelberger Straße, 66849 Landstuhl, Germany.
Department of Radiology, Stanford University, 453 Quarry Road, Palo Alto, CA 94304, USA.
Neuroimaging Clin N Am. 2023 May;33(2):279-297. doi: 10.1016/j.nic.2023.01.004.
Advanced imaging techniques are needed to assist in providing a prognosis for patients with traumatic brain injury (TBI), particularly mild TBI (mTBI). Diffusion tensor imaging (DTI) is one promising advanced imaging technique, but has shown variable results in patients with TBI and is not without limitations, especially when considering individual patients. Efforts to resolve these limitations are being explored and include developing advanced diffusion techniques, creating a normative database, improving study design, and testing machine learning algorithms. This article will review the fundamentals of DTI, providing an overview of the current state of its utility in evaluating and providing prognosis in patients with TBI.
需要先进的成像技术来协助为创伤性脑损伤（TBI）患者，尤其是轻度创伤性脑损伤（mTBI）患者提供预后评估。扩散张量成像（DTI）是一种很有前景的先进成像技术，但在TBI患者中显示出的结果参差不齐，且并非没有局限性，尤其是在考虑个体患者时。目前正在探索解决这些局限性的方法，包括开发先进的扩散技术、创建标准化数据库、改进研究设计以及测试机器学习算法。本文将回顾DTI的基本原理，概述其在评估TBI患者和提供预后方面的当前应用状况。
