Suppr超能文献

一种利用葡萄糖代谢与淀粉样蛋白沉积比率的新型成像技术在阿尔茨海默病诊断中的验证

Validation of a New Imaging Technique Using the Glucose Metabolism to Amyloid Deposition Ratio in the Diagnosis of Alzheimer's Disease.

作者信息

Takahashi Ryuichi, Ishii Kazunari, Yokoyama Kazumasa, For The Alzheimer S Disease Neuroimaging Initiative EmptyYN Y

机构信息

Department of Neurology, Hyogo Prefectural Rehabilitation Hospital at Nishi-Harima, Kohto 1-7-1, Shingu-cho, Tatsuno, Hyogo 679-5165, Japan.

出版信息

Curr Alzheimer Res. 2017;14(2):161-168. doi: 10.2174/1567205013666160620122346.

Abstract

OBJECTIVE

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.

METHODS

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.

RESULTS

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).

CONCLUSION

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.

摘要

目的

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。

方法

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。

结果

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)。

结论

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。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验