Imaging endpoints for clinical trials in Alzheimer's disease

被引:44
作者
Cash D.M. [1 ,2 ]
Rohrer J.D. [1 ]
Ryan N.S. [1 ]
Ourselin S. [1 ,2 ]
Fox N.C. [1 ]
机构
[1] Dementia Research Centre, National Hospital for Neurology and Neurosurgery, Queen Square, Box 16, London
[2] Translational Imaging Group, Centre for Medical Image Computing, University College of London, Wolfson House, 4 Stephenson Way, London
基金
英国工程与自然科学研究理事会; 英国科研创新办公室; 英国医学研究理事会; 欧盟第七框架计划;
关键词
Mild Cognitive Impairment; Hippocampal Atrophy; Structural Magnetic Resonance Imaging; Amyloid Imaging; Amyloid Positron Emission Tomography Imaging;
D O I
10.1186/s13195-014-0087-9
中图分类号
学科分类号
摘要
As the need to develop a successful disease-modifying treatment for Alzheimer's disease (AD) becomes more urgent, imaging is increasingly used in therapeutic trials. We provide an overview of how the different imaging modalities are used in AD studies and the current regulatory guidelines for their use in clinical trials as endpoints. We review the current literature for results of imaging endpoints of efficacy and safety in published clinical trials. We start with trials in mild to moderate AD, where imaging (largely magnetic resonance imaging (MRI)) has long played a role in inclusion and exclusion criteria; more recently, MRI has been used to identify adverse events and to measure rates of brain atrophy. The advent of amyloid imaging using positron emission tomography has led to trials incorporating amyloid measurements as endpoints and incidentally to the recognition of the high proportion of amyloid-negative individuals that may be recruited into these trials. Ongoing and planned trials now commonly include multimodality imaging: amyloid positron emission tomography, MRI and other modalities. At the same time, the failure of recent large profile trials in mild to moderate AD together with the realisation that there is a long prodromal period to AD has driven a push to move studies to earlier in the disease. Imaging has particularly important roles, alongside other biomarkers, in assessing efficacy because conventional clinical outcomes may have limited ability to detect treatment effects in these early stages. © 2014 Cash et al.
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