Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/20867
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dc.contributor.authorDoré, Vincent-
dc.contributor.authorBullich, Santiago-
dc.contributor.authorRowe, Christopher C-
dc.contributor.authorBourgeat, Pierrick-
dc.contributor.authorKonate, Salamata-
dc.contributor.authorSabri, Osama-
dc.contributor.authorStephens, Andrew W-
dc.contributor.authorBarthel, Henryk-
dc.contributor.authorFripp, Jurgen-
dc.contributor.authorMasters, Colin L-
dc.contributor.authorDinkelborg, Ludger-
dc.contributor.authorSalvado, Olivier-
dc.contributor.authorVillemagne, Victor L-
dc.contributor.authorDe Santi, Susan-
dc.date2019-05-14-
dc.date.accessioned2019-06-05T01:28:44Z-
dc.date.available2019-06-05T01:28:44Z-
dc.date.issued2019-06-
dc.identifier.citationAlzheimer's & Dementia 2019; 15(6): 8007-816en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/20867-
dc.description.abstract18F-florbetaben is currently approved for the visual rule out of β-amyloid (Aβ) pathology. It is also used for recruitment and as an outcome measure in therapeutic trials, requiring accurate and reproducible quantification of Aβ burden in the brain. Data from eighty-eight subjects (52 male subjects, aged 79.8 ± 10.6 years) who underwent antemortem 18F-florbetaben positron emission tomography scan and magnetic resonance imaging less than a year before neuropathological assessment at autopsy were evaluated. Image analysis was performed using the standard Centiloid (CL) statistical parametric mapping approach and CapAIBL®. Imaging results were compared against autopsy data. Against combined Bielschowsky silver staining and immunohistochemistry histopathological scores, statistical parametric mapping had 96% sensitivity, 96% specificity, and 95% accuracy, whereas magnetic resonance-less CapAIBL standardized uptake value ratioWhole Cerebellum had 94% sensitivity, 96% specificity, and 95% accuracy. Based on the combined histopathological scores, a CL threshold band of 19 ± 7 CL was determined. Quantification of 18F-florbetaben positron emission tomography scans using magnetic resonance-based and magnetic resonance-less CapAIBL® approaches showed high agreement, establishing a pathology-based threshold in CL.en
dc.language.isoeng-
dc.subjectAlzheimer's diseaseen
dc.subjectCentiloiden
dc.subjectDementiaen
dc.subjectFlorbetabenen
dc.subjectHistopathologyen
dc.subjectPositron emission tomography (PET)en
dc.subjectβ-amyloiden
dc.titleComparison of 18F-florbetaben quantification results using the standard Centiloid, MR-based, and MR-less CapAIBL® approaches: Validation against histopathology.en
dc.typeJournal Articleen
dc.identifier.journaltitleAlzheimer's & Dementiaen
dc.identifier.affiliationThe Florey Institute of Neurosciences and Mental Health, The University of Melbourne, Melbourne, Victoria, Australiaen
dc.identifier.affiliationDepartment of Molecular Imaging and Therapy, Austin Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationDepartment of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationCSIRO Health and Biosecurity Flagship: The Australian e-Health Research Centre, Brisbane, QLD, Australiaen
dc.identifier.affiliationDepartment of Nuclear Medicine, University of Leipzig, Leipzig, Germanyen
dc.identifier.affiliationLife Molecular Imaging, GmbH, Berlin, Germanyen
dc.identifier.affiliationLife Molecular Imaging Inc, Boston, MA, USAen
dc.identifier.doi10.1016/j.jalz.2019.02.005en
dc.type.contentTexten
dc.identifier.pubmedid31101517-
dc.type.austinJournal Article-
local.name.researcherDoré, Vincent
item.grantfulltextnone-
item.openairetypeJournal Article-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
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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