A modified method of 3D-SSP analysis for amyloid PET imaging using [11C]BF-227
A modified method of 3D-SSP analysis for amyloid PET imaging using [11C]BF-227
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DOI：
10.1007/s12149-011-0518-7
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发表时间：
2011-07
影响因子：
2.6
通讯作者：
T. Kaneta;N. Okamura;S. Minoshima;K. Furukawa;M. Tashiro;S. Furumoto;R. Iwata;H. Fukuda;Shoki Takahashi;K. Yanai;Y. Kudo;H. Arai
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作者：
T. Kaneta;N. Okamura;S. Minoshima;K. Furukawa;M. Tashiro;S. Furumoto;R. Iwata;H. Fukuda;Shoki Takahashi;K. Yanai;Y. Kudo;H. Arai
三维立体定向表面投影（3D-SSP）分析已广泛用于痴呆成像研究。然而，3D-SSP在淀粉样蛋白正电子发射断层扫描（PET）分析中有时显示矛盾的结果。这被认为是由基于18F-氟脱氧葡萄糖（FDG）模板的解剖标准化（AS）错误引起的。我们建立了一种新的淀粉样蛋白PET显像的3D-SSP分析方法，并应用该方法分析了轻度认知功能障碍（MCI）和阿尔茨海默病（AD）患者的11 C标记的2-（2-[2-二甲基氨基噻唑-5-基]乙烯基）-6-（2-[氟]乙氧基）苯并恶唑（BF-227）PET显像。12例MCI患者随访3年或3年以上，6例患者转为AD。所有受试者均接受了FDG和BF-227的PET。对于PET数据的AS和3D-SSP分析，使用Neuostat（华盛顿大学，WA，USA）。方法1涉及使用FDG模板的BF-227图像的AS。在这项研究中，我们开发了一种新的方法（方法2）AS：首先，FDG图像进行AS使用FDG模板。然后，将同一患者的BF-227图像配准到FDG图像，并且使用针对相应FDG图像的AS计算的变换参数来执行AS。通过在小脑获得的平均值对区域值进行归一化，并计算额叶、顶叶、颞叶和枕叶的值。对于3组的统计学比较，我们应用单因素方差分析，然后进行Bonferroni事后检验。对于转换者和非转换者之间的统计比较，应用t检验。结果56例患者中，16例AS后图像轻度失真，4例重度失真，而方法2未观察到失真。两种方法均表明，AD和MCI患者的顶叶、颞叶和枕叶的值均显著高于对照组。然而，只有方法2在额叶中显示出显著差异。此外，方法2可以证明一个显着更高的值在MCI到AD转换器在顶叶和额叶。ConclusionsMethod 2纠正AS错误时，经常发生使用方法1，并作出适当的3D-SSP分析淀粉样蛋白PET成像成为可能。BF-227 PET的3D-SSP分析的这种新方法可以证明对于检测正常组与AD和MCI组之间以及转换者与非转换者之间的差异是有用的。
ObjectiveThree-dimensional stereotactic surface projection (3D-SSP) analyses have been widely used in dementia imaging studies. However, 3D-SSP sometimes shows paradoxical results on amyloid positron emission tomography (PET) analyses. This is thought to be caused by errors in anatomical standardization (AS) based on an18F-fluorodeoxyglucose (FDG) template. We developed a new method of 3D-SSP analysis for amyloid PET imaging, and used it to analyze11C-labeled 2-(2-[2-dimethylaminothiazol-5-yl]ethenyl)-6-(2-[fluoro]ethoxy)benzoxazole (BF-227) PET images of subjects with mild cognitive impairment (MCI) and Alzheimer’s disease (AD).MethodsThe subjects were 20 with MCI, 19 patients with AD, and 17 healthy controls. Twelve subjects with MCI were followed up for 3 years or more, and conversion to AD was seen in 6 cases. All subjects underwent PET with both FDG and BF-227. For AS and 3D-SSP analyses of PET data, Neurostat (University of Washington, WA, USA) was used. Method 1 involves AS for BF-227 images using an FDG template. In this study, we developed a new method (Method 2) for AS: First, an FDG image was subjected to AS using an FDG template. Then, the BF-227 image of the same patient was registered to the FDG image, and AS was performed using the transformation parameters calculated for AS of the corresponding FDG images. Regional values were normalized by the average value obtained at the cerebellum and values were calculated for the frontal, parietal, temporal, and occipital lobes. For statistical comparison of the 3 groups, we applied one-way analysis of variance followed by the Bonferroni post hoc test. For statistical comparison between converters and non-converters, thettest was applied. Statistical significance was defined asp< 0.05.ResultsAmong the 56 cases we studied, Method 1 demonstrated slight distortions after AS of the image in 16 cases and heavy distortions in 4 cases in which the distortions were not observed with Method 2. Both methods demonstrated that the values in AD and MCI patients were significantly higher than those in the controls, in the parietal, temporal, and occipital lobes. However, only Method 2 showed significant differences in the frontal lobes. In addition, Method 2 could demonstrate a significantly higher value in MCI-to-AD converters in the parietal and frontal lobes.ConclusionsMethod 2 corrects AS errors that often occur when using Method 1, and has made appropriate 3D-SSP analysis of amyloid PET imaging possible. This new method of 3D-SSP analysis for BF-227 PET could prove useful for detecting differences between normal groups and AD and MCI groups, and between converters and non-converters.