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dc.contributor.authorSu, Y
dc.contributor.authorBlazey, TM
dc.contributor.authorOwen, CJ
dc.contributor.authorChristensen, JJ
dc.contributor.authorFriedrichsen, K
dc.contributor.authorJoseph-Mathurin, N
dc.contributor.authorWang, Q
dc.contributor.authorHornbeck, RC
dc.contributor.authorAnces, BM
dc.contributor.authorSnyder, AZ
dc.contributor.authorCash, LA
dc.contributor.authorKoeppe, RA
dc.contributor.authorKlunk, WE
dc.contributor.authorGalasko, D
dc.contributor.authorBrickman, AM
dc.contributor.authorMcDade, E
dc.contributor.authorRingman, JM
dc.contributor.authorThompson, PM
dc.contributor.authorSaykin, AJ
dc.contributor.authorGhetti, B
dc.contributor.authorSperling, RA
dc.contributor.authorJohnson, KA
dc.contributor.authorSalloway, SP
dc.contributor.authorSchofield, PR
dc.contributor.authorMasters, CL
dc.contributor.authorVillemagne, VL
dc.contributor.authorFox, NC
dc.contributor.authorFoerster, S
dc.contributor.authorChen, K
dc.contributor.authorReiman, EM
dc.contributor.authorXiong, C
dc.contributor.authorMarcus, DS
dc.contributor.authorWeiner, MW
dc.contributor.authorMorris, JC
dc.contributor.authorBateman, RJ
dc.contributor.authorBenzinger, TLS
dc.date.accessioned2021-02-05T01:17:23Z
dc.date.available2021-02-05T01:17:23Z
dc.date.issued2016-03-24
dc.identifierpii: PONE-D-15-56275
dc.identifier.citationSu, Y., Blazey, T. M., Owen, C. J., Christensen, J. J., Friedrichsen, K., Joseph-Mathurin, N., Wang, Q., Hornbeck, R. C., Ances, B. M., Snyder, A. Z., Cash, L. A., Koeppe, R. A., Klunk, W. E., Galasko, D., Brickman, A. M., McDade, E., Ringman, J. M., Thompson, P. M., Saykin, A. J. ,... Benzinger, T. L. S. (2016). Quantitative Amyloid Imaging in Autosomal Dominant Alzheimer's Disease: Results from the DIAN Study Group. PLOS ONE, 11 (3), https://doi.org/10.1371/journal.pone.0152082.
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/11343/260338
dc.description.abstractAmyloid 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.
dc.languageEnglish
dc.publisherPUBLIC LIBRARY SCIENCE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleQuantitative Amyloid Imaging in Autosomal Dominant Alzheimer's Disease: Results from the DIAN Study Group
dc.typeJournal Article
dc.identifier.doi10.1371/journal.pone.0152082
melbourne.affiliation.departmentFlorey Department of Neuroscience and Mental Health
melbourne.affiliation.departmentMedicine (Austin & Northern Health)
melbourne.affiliation.facultyMedicine, Dentistry & Health Sciences
melbourne.source.titlePLoS One
melbourne.source.volume11
melbourne.source.issue3
dc.rights.licenseCC BY
melbourne.elementsid1052451
melbourne.contributor.authorMasters, Colin
melbourne.contributor.authorVillemagne, Victor
dc.identifier.eissn1932-6203
melbourne.accessrightsOpen Access


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