Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/33447
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dc.contributor.authorBourgeat, Pierrick-
dc.contributor.authorDoré, Vincent-
dc.contributor.authorRowe, Christopher C-
dc.contributor.authorBenzinger, Tammie-
dc.contributor.authorTosun, Duygu-
dc.contributor.authorGoyal, Manu S-
dc.contributor.authorLaMontagne, Pamela-
dc.contributor.authorJin, Liang-
dc.contributor.authorWeiner, Michael W-
dc.contributor.authorMasters, Colin L-
dc.contributor.authorFripp, Jurgen-
dc.contributor.authorVillemagne, Victor L-
dc.date2023-
dc.date.accessioned2023-08-03T00:23:20Z-
dc.date.available2023-08-03T00:23:20Z-
dc.date.issued2023-
dc.identifier.citationAlzheimer's & Dementia (Amsterdam, Netherlands) 2023; 15(3)en_US
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/33447-
dc.description.abstractThe Centiloid (CL) project was developed to harmonize the quantification of amyloid beta (Aβ) positron emission tomography (PET) scans to a unified scale. The CL neocortical mask was defined using 11C Pittsburgh compound B (PiB), overlooking potential differences in regional distribution among Aβ tracers. We created a universal mask using an independent dataset of five Aβ tracers, and investigated its impact on inter-tracer agreement, tracer variability, and group separation. Using data from the Alzheimer's Dementia Onset and Progression in International Cohorts (ADOPIC) study (Australian Imaging Biomarkers and Lifestyle + Alzheimer's Disease Neuroimaging Initiative + Open Access Series of Imaging Studies), age-matched pairs of mild Alzheimer's disease (AD) and healthy controls (HC) were selected: 18F-florbetapir (N = 147 pairs), 18F-florbetaben (N = 22), 18F-flutemetamol (N = 10), 18F-NAV (N = 42), 11C-PiB (N = 63). The images were spatially and standardized uptake value ratio normalized. For each tracer, the mean AD-HC difference image was thresholded to maximize the overlap with the standard neocortical mask. The universal mask was defined as the intersection of all five masks. It was evaluated on the Global Alzheimer's Association Interactive Network (GAAIN) head-to-head datasets in terms of inter-tracer agreement and variance in the young controls (YC) and on the ADOPIC dataset comparing separation between HC/AD and HC/mild cognitive impairment (MCI). In the GAAIN dataset, the universal mask led to a small reduction in the variance of the YC, and a small increase in the inter-tracer agreement. In the ADOPIC dataset, it led to a better separation between HC/AD and HC/MCI at baseline. The universal CL mask led to an increase in inter-tracer agreement and group separation. Those increases were, however, very small, and do not provide sufficient benefits to support departing from the existing standard CL mask, which is suitable for the quantification of all Aβ tracers. This study built an amyloid universal mask using a matched cohort for the five most commonly used amyloid positron emission tomography tracers.There was a high overlap between each tracer-specific mask.Differences in quantification and group separation between the standard and universal mask were small.The existing standard Centiloid mask is suitable for the quantification of all amyloid beta tracers.en_US
dc.language.isoeng-
dc.subjectCentiloiden_US
dc.subjectFlorbetabenen_US
dc.subjectFlorbetapiren_US
dc.subjectFlutemetamolen_US
dc.subjectNAV4694en_US
dc.subjectPiBen_US
dc.subjectamyloid positron emission tomographyen_US
dc.titleA universal neocortical mask for Centiloid quantification.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleAlzheimer's & Dementia (Amsterdam, Netherlands)en_US
dc.identifier.affiliationAustralian eHealth Research Centre CSIRO Health and Biosecurity Brisbane Queensland Australia.en_US
dc.identifier.affiliationMolecular Imaging and Therapyen_US
dc.identifier.affiliationThe Florey Institute of Neuroscience and Mental Healthen_US
dc.identifier.affiliationMallinckrodt Institute of Radiology Washington University School of Medicine St. Louis Missouri USA.en_US
dc.identifier.affiliationSan Francisco Veterans Affairs Medical Center San Francisco California USA.en_US
dc.identifier.affiliationDepartment of Neurology Washington University School of Medicine St. Louis Missouri USA.en_US
dc.identifier.affiliationDepartment of Radiology and Biomedical Imaging University of California, San Francisco San Francisco California USA.en_US
dc.identifier.affiliationThe Florey Institute of Neuroscience and Mental Health University of Melbourne, Parkville Melbourne Victoria Australia.en_US
dc.identifier.doi10.1002/dad2.12457en_US
dc.type.contentTexten_US
dc.identifier.pubmedid37492802-
dc.description.volume15-
dc.description.issue3-
dc.description.startpagee12457-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1en-
crisitem.author.deptMolecular Imaging and Therapy-
crisitem.author.deptMolecular Imaging and Therapy-
crisitem.author.deptThe Florey Institute of Neuroscience and Mental Health-
crisitem.author.deptMolecular Imaging and Therapy-
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