Whone Alan L, Bailey Dale L, Remy Philippe, Pavese Nicola, Brooks David J
Division of Neuroscience and MRC Clinical Sciences Centre, Faculty of Medicine, Imperial College, Hammersmith Hospital, London, United Kingdom.
J Nucl Med. 2004 Jul;45(7):1135-45.
We have recently completed a large 6-(18)F-fluoro-L-DOPA ((18)F-DOPA) PET study comparing rates of loss of dopamine terminal function in Parkinson's disease (PD) patients taking either the dopamine agonist ropinirole or L-DOPA. This trial involved a "distributed acquisition/centralized analysis" method, in which (18)F-DOPA images were acquired at 6 different PET centers around the world and then analyzed at a single site. To our knowledge, this is the first time such a centralized approach has been employed with (18)F-DOPA PET and this descriptive basic science article outlines the methods used.
One hundred eighty-six PD patients were randomized (1:1) to ropinirole or L-DOPA therapy, and (18)F-DOPA PET was performed at baseline and again at 2 y. The primary outcome measure was the percentage change in putamen (18)F-DOPA influx rate constant (K(i)) from Patlak graphical analysis. Dynamic images were acquired and reconstructed using each center's individual protocols before being transferred to the site performing the central analysis. Once there, individual parametric K(i) images were created using a single analysis program without file formats being transformed from the original. Parametric images were then normalized to standard space and K(i) values extracted with a region of interest analysis. Significant K(i) changes were also localized at a voxel level with statistical parametric mapping. These processes required numerous checks to ensure the integrity of each dataset.
Three hundred twenty-five (170 baseline, 155 follow-up) dynamic PET datasets were acquired, of which 12 were considered uninterpretable due to missing time frames, radiopharmaceutical problems, lack of measured attenuation correction, or excessive head movement. In those datasets suitable for central analysis, after quality control and spatial normalization of the images had been applied, putamen (18)F-DOPA signal decline was found to be significantly (one third) slower in the ropinirole group compared with that of the L-DOPA group.
Paired (18)F-DOPA-PET images acquired from multiple sites can be successfully analyzed centrally to assess the efficacy of potential disease-modifying therapies in PD. However, numerous options must be considered and data checks put in place before adopting such an approach. Centralized analysis offers the potential for improved detection of outcomes due to the standardization of the analytic approach and allows the analysis of large numbers of PET studies.
我们最近完成了一项大型的6-(18)F-氟-L-多巴((18)F-DOPA)正电子发射断层显像(PET)研究,比较了服用多巴胺激动剂罗匹尼罗或左旋多巴的帕金森病(PD)患者多巴胺终末功能丧失的速率。该试验采用了“分布式采集/集中分析”方法,其中(18)F-DOPA图像在全球6个不同的PET中心采集,然后在单一地点进行分析。据我们所知,这是首次将这种集中式方法用于(18)F-DOPA PET,这篇描述性基础科学文章概述了所使用的方法。
186例PD患者被随机(1:1)分为罗匹尼罗组或左旋多巴治疗组,并在基线期和2年后再次进行(18)F-DOPA PET检查。主要结局指标是通过Patlak图像分析得出的壳核(18)F-DOPA流入速率常数(K(i))的百分比变化。在使用每个中心各自的方案采集和重建动态图像后,将其传输到进行集中分析的地点。在那里,使用单个分析程序创建个体参数K(i)图像,而不改变原始文件格式。然后将参数图像归一化到标准空间,并通过感兴趣区分析提取K(i)值。显著的K(i)变化也通过统计参数映射在体素水平上定位。这些过程需要进行大量检查以确保每个数据集的完整性。
共采集了325个(170个基线期、155个随访期)动态PET数据集,其中12个因时间帧缺失、放射性药物问题、缺乏测量的衰减校正或头部运动过度而被认为无法解读。在那些适合进行集中分析的数据集中,在对图像进行质量控制和空间归一化后,发现罗匹尼罗组壳核(18)F-DOPA信号下降明显(慢三分之一)慢于左旋多巴组。
从多个地点采集的配对(18)F-DOPA-PET图像可以成功地进行集中分析,以评估PD中潜在疾病修饰疗法的疗效。然而,在采用这种方法之前,必须考虑众多选项并进行数据检查。集中分析由于分析方法的标准化而具有提高结局检测的潜力,并允许对大量PET研究进行分析。