Takahashi Ryuichi, Ishii Kazunari, Yokoyama Kazumasa, For The Alzheimer S Disease Neuroimaging Initiative EmptyYN Y
Department of Neurology, Hyogo Prefectural Rehabilitation Hospital at Nishi-Harima, Kohto 1-7-1, Shingu-cho, Tatsuno, Hyogo 679-5165, Japan.
Curr Alzheimer Res. 2017;14(2):161-168. doi: 10.2174/1567205013666160620122346.
Alzheimer' disease (AD) is characterized by increase of cortical amyloid deposition in prodromal stage and subsequent decrease of cerebral glucose metabolism as disease progresses. The present study introduces the voxel-wise metabolism to amyloid deposits ratio (MAR) image and to evaluate its reliability for the diagnosis of AD.
Consecutive one-hundred and forty-three subjects with AD and 181 normal subjects who underwent both 18F-FDG PET and 18F-florbetapir (AV-45) PET at baseline were included to this study from the database of Alzheimer's disease neuroimaging initiative (ADNI). After normalizing to a standard stereotactic space, the MAR image was created by dividing each FDG-PET image by corresponding AV-45 PET image using with voxel-wise inter-image computation. We examined voxel wise comparison in the MAR images between AD subjects and normal subjects and compared the diagnostic performances between the MAR image and FDG-PET and AV-45 image.
In the voxel wise comparison, the MAR images of AD subjects exhibited severe and extensive decrease compared with normal subjects in the affected region in both FDG-PET and AV-45, especially in the precuneus /posterior cingulate. The highest t-value was equivalent to FDG-PET and the voxel extent was much greater than the other images. In the ROI analysis, the diagnostic accuracies were 82.6% (sensitivity: 86.7%, specificity: 79.5%), 80.7% (sensitivity: 77%, specificity: 83.4%), and 78.8% (sensitivity: 75.2%, specificity: 81.5%) for the MAR image, FDG-PET, and AV-45, respectively. AUC for the MAR image was 0.904 (95%CI: 0.867-0.942), and was larger than those for FDG-PET (AUC: 0.884, 95%CI: 0.843-0.926), and AV-45 (AUC: 0.847, 95%CI: 0.798-0.897).
MAR image reflected not only amyloid deposition but the cerebral glucose metabolisms and successfully classified the subjects with AD. These data suggest that the MAR image might be a more proper appropriate diagnostic marker for AD reflecting cerebral metabolisms and amyloid deposition.
阿尔茨海默病(AD)的特征是前驱期皮质淀粉样蛋白沉积增加,随着疾病进展,脑葡萄糖代谢随后降低。本研究引入了体素代谢与淀粉样蛋白沉积比值(MAR)图像,并评估其在AD诊断中的可靠性。
从阿尔茨海默病神经影像倡议(ADNI)数据库中纳入143例连续的AD患者和181例正常受试者,这些受试者在基线时均接受了18F-FDG PET和18F-氟代贝他吡(AV-45)PET检查。在归一化到标准立体定向空间后,通过使用体素间图像计算将每个FDG-PET图像除以相应的AV-45 PET图像来创建MAR图像。我们检查了AD患者和正常受试者的MAR图像中的体素比较,并比较了MAR图像与FDG-PET和AV-45图像之间的诊断性能。
在体素比较中,与正常受试者相比,AD患者的MAR图像在FDG-PET和AV-45的受影响区域均表现出严重且广泛的降低,尤其是在楔前叶/后扣带回。最高t值与FDG-PET相当,体素范围比其他图像大得多。在ROI分析中,MAR图像、FDG-PET和AV-45的诊断准确率分别为82.6%(敏感性:86.7%,特异性:79.5%)、80.7%(敏感性:77%,特异性:83.4%)和78.8%(敏感性:75.2%,特异性:81.5%)。MAR图像的AUC为0.904(95%CI:0.867-0.942),大于FDG-PET(AUC:0.884,95%CI:0.843-0.926)和AV-45(AUC:0.847,95%CI:0.798-0.897)。
MAR图像不仅反映了淀粉样蛋白沉积,还反映了脑葡萄糖代谢,并成功地对AD患者进行了分类。这些数据表明,MAR图像可能是反映脑代谢和淀粉样蛋白沉积的更合适的AD诊断标志物。