Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Center for Functional Magnetic Resonance Imaging, Department of Radiology, University of California San Diego, La Jolla, California, USA.
Magn Reson Med. 2024 Aug;92(2):469-495. doi: 10.1002/mrm.30091. Epub 2024 Apr 9.
Accurate assessment of cerebral perfusion is vital for understanding the hemodynamic processes involved in various neurological disorders and guiding clinical decision-making. This guidelines article provides a comprehensive overview of quantitative perfusion imaging of the brain using multi-timepoint arterial spin labeling (ASL), along with recommendations for its acquisition and quantification. A major benefit of acquiring ASL data with multiple label durations and/or post-labeling delays (PLDs) is being able to account for the effect of variable arterial transit time (ATT) on quantitative perfusion values and additionally visualize the spatial pattern of ATT itself, providing valuable clinical insights. Although multi-timepoint data can be acquired in the same scan time as single-PLD data with comparable perfusion measurement precision, its acquisition and postprocessing presents challenges beyond single-PLD ASL, impeding widespread adoption. Building upon the 2015 ASL consensus article, this work highlights the protocol distinctions specific to multi-timepoint ASL and provides robust recommendations for acquiring high-quality data. Additionally, we propose an extended quantification model based on the 2015 consensus model and discuss relevant postprocessing options to enhance the analysis of multi-timepoint ASL data. Furthermore, we review the potential clinical applications where multi-timepoint ASL is expected to offer significant benefits. This article is part of a series published by the International Society for Magnetic Resonance in Medicine (ISMRM) Perfusion Study Group, aiming to guide and inspire the advancement and utilization of ASL beyond the scope of the 2015 consensus article.
准确评估脑灌注对于理解各种神经疾病中的血液动力学过程以及指导临床决策至关重要。本指南文章全面介绍了使用多时相动脉自旋标记(ASL)进行脑定量灌注成像,以及获取和量化 ASL 的建议。使用多个标记持续时间和/或标记后延迟(PLD)获取 ASL 数据的一个主要优点是能够解释可变动脉传输时间(ATT)对定量灌注值的影响,并另外可视化 ATT 本身的空间模式,提供有价值的临床见解。尽管可以在与单-PLD ASL 相比具有可比灌注测量精度的相同扫描时间内获取多时间点数据,但它的获取和后处理除了单-PLD ASL 之外还存在挑战,阻碍了其广泛应用。本工作基于 2015 年 ASL 共识文章,重点介绍了多时间点 ASL 的协议差异,并为获取高质量数据提供了强有力的建议。此外,我们提出了一个基于 2015 年共识模型的扩展量化模型,并讨论了相关的后处理选项,以增强多时间点 ASL 数据的分析。此外,我们还回顾了多时间点 ASL 有望带来显著益处的潜在临床应用。本文是由国际磁共振医学学会(ISMRM)灌注研究组发表的一系列文章的一部分,旨在指导和激发 ASL 的发展和应用,超越 2015 年共识文章的范围。