Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands.
Alzheimer Center and Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands.
J Cereb Blood Flow Metab. 2020 Feb;40(2):365-373. doi: 10.1177/0271678X18820765. Epub 2018 Dec 20.
[F]Flortaucipir is a PET tau tracer used to visualize tau binding in Alzheimer's disease (AD) in vivo. The present study evaluated the performance of several methods to obtain parametric images of [F]flortaucipir. One hundred and thirty minutes dynamic PET scans were performed in 10 AD patients and 10 controls. Parametric images were generated using different linearization and basis function approaches. Regional binding potential (BP) and volume of distribution (V) values obtained from the parametric images were compared with corresponding values derived using the reversible two-tissue compartment model (2T4k_V). Performance of SUVr parametric images was assessed by comparing values with distribution volume ratio (DVR) and SRTM-derived BP estimates obtained using non-linear regression (NLR). Spectral analysis (SA) (= 0.92; slope = 0.99) derived V correlated well with NLR-derived V. RPM (= 0.95; slope = 0.98) derived BP correlated well with NLR-derived DVR. Although SUVr correlated well with NLR-derived DVR (= 0.91; slope = 1.09), bias in SUVr appeared to depend on uptake time and underlying level of specific binding. In conclusion, RPM and SA provide parametric images comparable to the NLR estimates. Individual SUVr values are biased compared with DVR and this bias requires further study in a larger dataset in order to understand its consequences.
[F]Flortaucipir 是一种正电子发射断层扫描（PET）tau 示踪剂，用于在体内可视化阿尔茨海默病（AD）中的 tau 结合。本研究评估了几种获得[F]flortaucipir 参数图像的方法的性能。在 10 名 AD 患者和 10 名对照者中进行了 130 分钟的动态 PET 扫描。使用不同的线性化和基函数方法生成参数图像。从参数图像获得的区域结合势（BP）和分布容积（V）值与使用可逆双组织室模型（2T4k_V）获得的相应值进行了比较。通过比较与分布容积比（DVR）和使用非线性回归（NLR）获得的 SRTM 衍生 BP 估计值的 SUVr 参数图像的性能来评估 SUVr 参数图像的性能。光谱分析（SA）（=0.92；斜率=0.99）得出的 V 与 NLR 得出的 V 相关性良好。RPM（=0.95；斜率=0.98）得出的 BP 与 NLR 得出的 DVR 相关性良好。虽然 SUVr 与 NLR 得出的 DVR 相关性良好（=0.91；斜率=1.09），但 SUVr 的偏差似乎取决于摄取时间和基础特异性结合水平。总之，RPM 和 SA 提供的参数图像与 NLR 估计值相当。与 DVR 相比，个体 SUVr 值存在偏差，需要在更大的数据集进一步研究，以了解其后果。
