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世界意象、AD意象、ADNI意象。

Imago Mundi, Imago AD, Imago ADNI.

作者信息

Villemagne Victor L, Kim Seong Yoon, Rowe Christopher C, Iwatsubo Takeshi

机构信息

Department of Nuclear Medicine and Centre for PET, Austin Health, 145 Studley Road, Heidelberg 3084, VIC, Australia ; The Florey Institute for Neurosciences and Mental Health, The University of Melbourne, 30 Royal Parade, Melbourne 3010, VIC, Australia ; Department of Medicine, The University of Melbourne, Grattan Street, Melbourne 3010, VIC, Australia.

Asan Medical Center, University of Ulsan Medical College, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, Korea.

出版信息

Alzheimers Res Ther. 2014 Aug 29;6(5):62. doi: 10.1186/s13195-014-0062-5. eCollection 2014.

DOI:10.1186/s13195-014-0062-5
PMID:25478022
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4255533/
Abstract

Since the launch in 2003 of the Alzheimer's Disease Neuroimaging Initiative (ADNI) in the USA, ever growing, similarly oriented consortia have been organized and assembled around the world. The various accomplishments of ADNI have contributed substantially to a better understanding of the underlying physiopathology of aging and Alzheimer's disease (AD). These accomplishments are basically predicated in the trinity of multimodality, standardization and sharing. This multimodality approach can now better identify those subjects with AD-specific traits that are more likely to present cognitive decline in the near future and that might represent the best candidates for smaller but more efficient therapeutic trials - trials that, through gained and shared knowledge, can be more focused on a specific target or a specific stage of the disease process. In summary, data generated from ADNI have helped elucidate some of the pathophysiological mechanisms underpinning aging and AD pathology, while contributing to the international effort in setting the groundwork for biomarker discovery and establishing standards for early diagnosis of AD.

摘要

自2003年美国启动阿尔茨海默病神经影像学倡议(ADNI)以来,世界各地组织并组建了越来越多、方向类似的联盟。ADNI的各项成就为更好地理解衰老和阿尔茨海默病(AD)的潜在病理生理学做出了重大贡献。这些成就基本上基于多模态、标准化和共享这三个方面。这种多模态方法现在能够更好地识别那些具有AD特异性特征的受试者,这些受试者在不久的将来更有可能出现认知衰退,并且可能是规模较小但更有效的治疗试验的最佳候选对象——通过已获得和共享的知识,这些试验可以更专注于疾病过程的特定靶点或特定阶段。总之,ADNI产生的数据有助于阐明一些支撑衰老和AD病理的病理生理机制,同时为国际上发现生物标志物和建立AD早期诊断标准的工作奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1c1/4255533/666ae5496824/s13195-014-0062-5-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1c1/4255533/666ae5496824/s13195-014-0062-5-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1c1/4255533/666ae5496824/s13195-014-0062-5-1.jpg

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Predicting Alzheimer disease with β-amyloid imaging: results from the Australian imaging, biomarkers, and lifestyle study of ageing.使用β-淀粉样蛋白成像预测阿尔茨海默病:来自澳大利亚老龄化的影像学、生物标志物和生活方式研究的结果。
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Alzheimers Res Ther. 2022 Dec 21;14(1):191. doi: 10.1186/s13195-022-01124-2.
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Inter-Vendor and Inter-Session Reliability of Diffusion Tensor Imaging: Implications for Multicenter Clinical Imaging Studies.跨供应商和跨会话弥散张量成像的可靠性:对多中心临床成像研究的影响。
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Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials.阿尔茨海默病神经影像学倡议的近期出版物:回顾改善阿尔茨海默病临床试验方面的进展。
Alzheimers Dement. 2017 Apr;13(4):e1-e85. doi: 10.1016/j.jalz.2016.11.007. Epub 2017 Mar 22.
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