Quantitative Amyloid Imaging in Autosomal Dominant Alzheimer’s Disease: Results from the DIAN Study Group
Autor: | Yi Su, Tyler M Blazey, Christopher J Owen, Jon J Christensen, Karl Friedrichsen, Nelly Joseph-Mathurin, Qing Wang, Russ C Hornbeck, Beau M Ances, Abraham Z Snyder, Lisa A Cash, Robert A Koeppe, William E Klunk, Douglas Galasko, Adam M Brickman, Eric McDade, John M Ringman, Paul M Thompson, Andrew J Saykin, Bernardino Ghetti, Reisa A Sperling, Keith A Johnson, Stephen P Salloway, Peter R Schofield, Colin L Masters, Victor L Villemagne, Nick C Fox, Stefan Förster, Kewei Chen, Eric M Reiman, Chengjie Xiong, Daniel S Marcus, Michael W Weiner, John C Morris, Randall J Bateman, Tammie L S Benzinger, Dominantly Inherited Alzheimer Network |
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Přispěvatelé: | Herholz, Karl |
Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Male
Aging Pathology Image Processing DNA Mutational Analysis Partial volume genetics [Alzheimer Disease] Neurodegenerative Alzheimer's Disease 030218 nuclear medicine & medical imaging Computer-Assisted 0302 clinical medicine Reference Values Image Processing Computer-Assisted Longitudinal Studies Genes Dominant Carbon Isotopes education.field_of_study Multidisciplinary Brain Middle Aged medicine.anatomical_structure Cerebellar cortex Neurological Biomedical Imaging Medicine Female Alzheimer's disease Adult Heterozygote Amyloid medicine.medical_specialty General Science & Technology Science Population Alzheimer's disease research White matter 03 medical and health sciences Neuroimaging Alzheimer Disease Acquired Cognitive Impairment medicine Humans Dominant ddc:610 education diagnostic imaging [Brain] metabolism [Amyloid] Family Health business.industry Neurosciences chemistry [Carbon Isotopes] Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) Correction medicine.disease Brain Disorders Cross-Sectional Studies Genes Positron-Emission Tomography Dominantly Inherited Alzheimer Network Mutation Dementia business diagnostic imaging [Alzheimer Disease] 030217 neurology & neurosurgery |
Zdroj: | PLoS ONE, Vol 11, Iss 3, p e0152082 (2016) PLOS ONE 11(3), e0152082 (2016). doi:10.1371/journal.pone.0152082 PLoS ONE PloS one, vol 11, iss 3 |
ISSN: | 1932-6203 |
Popis: | Amyloid imaging plays an important role in the research and diagnosis of dementing disorders. Substantial variation in quantitative methods to measure brain amyloid burden exists in the field. The aim of this work is to investigate the impact of methodological variations to the quantification of amyloid burden using data from the Dominantly Inherited Alzheimer's Network (DIAN), an autosomal dominant Alzheimer's disease population. Cross-sectional and longitudinal [11C]-Pittsburgh Compound B (PiB) PET imaging data from the DIAN study were analyzed. Four candidate reference regions were investigated for estimation of brain amyloid burden. A regional spread function based technique was also investigated for the correction of partial volume effects. Cerebellar cortex, brain-stem, and white matter regions all had stable tracer retention during the course of disease. Partial volume correction consistently improves sensitivity to group differences and longitudinal changes over time. White matter referencing improved statistical power in the detecting longitudinal changes in relative tracer retention; however, the reason for this improvement is unclear and requires further investigation. Full dynamic acquisition and kinetic modeling improved statistical power although it may add cost and time. Several technical variations to amyloid burden quantification were examined in this study. Partial volume correction emerged as the strategy that most consistently improved statistical power for the detection of both longitudinal changes and across-group differences. For the autosomal dominant Alzheimer's disease population with PiB imaging, utilizing brainstem as a reference region with partial volume correction may be optimal for current interventional trials. Further investigation of technical issues in quantitative amyloid imaging in different study populations using different amyloid imaging tracers is warranted. |
Databáze: | OpenAIRE |
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