4.7 Article

The influence of biological and technical factors on quantitative analysis of amyloid PET: Points to consider and recommendations for controlling variability in longitudinal data

期刊

ALZHEIMERS & DEMENTIA
卷 11, 期 9, 页码 1050-1068

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jalz.2014.09.004

关键词

Amyloid; Positron emission tomography; Alzheimer's disease; ADNI; Quantitative analysis; Within subject variability; Multi-site trials

资金

  1. Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant) [U01 AG024904]
  2. National Institute on Aging
  3. National Institute of Biomedical Imaging and Bioengineering
  4. Alzheimer's Association
  5. Alzheimer's Drug Discovery Foundation
  6. BioClinica, Inc.
  7. Biogen Idec Inc.
  8. Bristol-Myers Squibb Company
  9. Eisai Inc.
  10. Elan Pharmaceuticals, Inc.
  11. Eli Lilly and Company
  12. F. Hoffmann-La Roche Ltd and its company Genentech, Inc.
  13. GE Healthcare
  14. Innogenetics, N.V.
  15. IXICO Ltd.
  16. Janssen Alzheimer Immunotherapy Research & Development, LLC.
  17. Johnson & Johnson Pharmaceutical Research & Development LLC.
  18. Medpace, Inc.
  19. Merck Co., Inc.
  20. Meso Scale Diagnostics, LLC.
  21. NeuroRx Research
  22. Novartis Pharmaceuticals Corporation
  23. Pfizer Inc.
  24. Piramal Imaging
  25. Servier
  26. Synarc Inc.
  27. Takeda Pharmaceutical Company
  28. Canadian Institutes of Health Research

向作者/读者索取更多资源

In vivo imaging of amyloid burden with positron emission tomography ( PET) provides a means for studying the pathophysiology of Alzheimer's and related diseases. Measurement of subtle changes in amyloid burden requires quantitative analysis of image data. Reliable quantitative analysis of amyloid PET scans acquired at multiple sites and over time requires rigorous standardization of acquisition protocols, subject management, tracer administration, image quality control, and image processing and analysis methods. We review critical points in the acquisition and analysis of amyloid PET, identify ways in which technical factors can contribute to measurement variability, and suggest methods for mitigating these sources of noise. Improved quantitative accuracy could reduce the sample size necessary to detect intervention effects when amyloid PET is used as a treatment end point and allow more reliable interpretation of change in amyloid burden and its relationship to clinical course. (C) 2015 The Authors. Published by Elsevier Inc. on behalf of The Alzheimer's Association.

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