脑 PET 研究中的图像衍生输入函数：挑战多多，机遇寥寥。
Image-derived input function for brain PET studies: many challenges and few opportunities.
机构信息
Molecular Imaging Branch, NIMH, NIH, Bethesda, Maryland 20892-2035, USA.
出版信息
J Cereb Blood Flow Metab. 2011 Oct;31(10):1986-98. doi: 10.1038/jcbfm.2011.107. Epub 2011 Aug 3.
Abstract
Quantitative positron emission tomography (PET) brain studies often require that the input function be measured, typically via arterial cannulation. Image-derived input function (IDIF) is an elegant and attractive noninvasive alternative to arterial sampling. However, IDIF is also a very challenging technique associated with several problems that must be overcome before it can be successfully implemented in clinical practice. As a result, IDIF is rarely used as a tool to reduce invasiveness in patients. The aim of the present review was to identify the methodological problems that hinder widespread use of IDIF in PET brain studies. We conclude that IDIF can be successfully implemented only with a minority of PET tracers. Even in those cases, it only rarely translates into a less-invasive procedure for the patient. Finally, we discuss some possible alternative methods for obtaining less-invasive input function.
摘要
定量正电子发射断层扫描（PET）脑研究通常需要测量输入函数，通常通过动脉插管进行。图像衍生输入函数（IDIF）是一种优雅而有吸引力的非侵入性替代动脉采样的方法。然而，IDIF 也是一项极具挑战性的技术，存在几个问题，必须克服这些问题才能成功地将其应用于临床实践中。因此，IDIF 很少作为减少患者侵入性的工具使用。本综述的目的是确定阻碍 IDIF 在 PET 脑研究中广泛应用的方法学问题。我们得出结论，IDIF 只能在少数 PET 示踪剂中成功实施。即使在这些情况下，它也很少能为患者带来侵入性更小的程序。最后，我们讨论了一些获得侵入性更小的输入函数的可能替代方法。
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