Weill Cornell Medicine, New York, NY.
Biogen, Inc., Cambridge, MA.
J Neuroimaging. 2018 Sep;28(5):496-505. doi: 10.1111/jon.12519. Epub 2018 May 4.
Neuroinflammation has been implicated in the pathophysiology of Parkinson's disease (PD), which might be influenced by successful neuroprotective drugs. The uptake of C-PK11195 (PK) is often considered to be a proxy for neuroinflammation, and can be quantified using the Logan graphical method with an image-derived blood input function, or the Logan reference tissue model using automated reference region extraction. The purposes of this study were (1) to assess whether these noninvasive image analysis methods can discriminate between patients with PD and healthy volunteers (HVs), and (2) to establish the effect size that would be required to distinguish true drug-induced changes from system variance in longitudinal trials.
The sample consisted of 20 participants with PD and 19 HVs. Two independent teams analyzed the data to compare the volume of distribution calculated using image-derived input functions (IDIFs), and binding potentials calculated using the Logan reference region model.
With all methods, the higher signal-to-background in patients resulted in lower variability and better repeatability than in controls. We were able to use noninvasive techniques showing significantly increased uptake of PK in multiple brain regions of participants with PD compared to HVs.
Although not necessarily reflecting absolute values, these noninvasive image analysis methods can discriminate between PD patients and HVs. We see a difference of 24% in the substantia nigra between PD and HV with a repeatability coefficient of 13%, showing that it will be possible to estimate responses in longitudinal, within subject trials of novel neuroprotective drugs.
神经炎症与帕金森病(PD)的病理生理学有关,而成功的神经保护药物可能会影响神经炎症。[C](R)-PK11195(PK)的摄取通常被认为是神经炎症的一个指标,可以使用基于图像的血供输入函数的 Logan 图形法或使用自动参考区提取的 Logan 参考组织模型进行定量。本研究的目的是(1)评估这些非侵入性图像分析方法是否可以区分 PD 患者和健康志愿者(HV),以及(2)确定在纵向试验中区分真正药物诱导的变化和系统变异性所需的效应量。
该样本由 20 名 PD 患者和 19 名 HV 组成。两个独立的团队分析了数据,以比较使用图像衍生输入函数(IDIF)计算的分布容积和使用 Logan 参考区域模型计算的结合势。
使用所有方法,由于患者的信号背景比更高,因此与对照组相比,其变异性更低,重复性更好。我们能够使用非侵入性技术,显示 PD 患者的 PK 在多个大脑区域的摄取明显增加,与 HV 相比。
虽然这些非侵入性图像分析方法不一定反映绝对值,但可以区分 PD 患者和 HV。我们看到 PD 患者和 HV 之间的黑质差异为 24%,重复性系数为 13%,表明有可能估计新型神经保护药物的纵向、个体内试验中的反应。