Data driven diagnostic classification in Alzheimer's disease based on different reference regions for normalization of PiB-PET images and correlation with CSF concentrations of Aβ species

dc.contributor.authorFrancisco Oliveira
dc.contributor.authorAntoine Leuzy
dc.contributor.authorJoão Castelhano
dc.contributor.authorKonstantinos Chiotis
dc.contributor.authorSteen Gregers Hasselbalch
dc.contributor.authorJuha Rinne
dc.contributor.authorAlexandre Mendonça
dc.contributor.authorMarkus Otto
dc.contributor.authorAlberto Lleó
dc.contributor.authorIsabel Santana
dc.contributor.authorJarkko Johansson
dc.contributor.authorSarah Anderl-Straub
dc.contributor.authorChristine Arnim
dc.contributor.authorAmbros Beer
dc.contributor.authorRafael Blesa
dc.contributor.authorJuan Fortea
dc.contributor.authorHerukka Sanna-Kaisa
dc.contributor.authorErik Portelius
dc.contributor.authorJosef Pannee
dc.contributor.authorHenrik Zetterberg
dc.contributor.authorKaj Blennow
dc.contributor.authorAna P. Moreira
dc.contributor.authorAntero Abrunhosa
dc.contributor.authorAgneta Nordberg
dc.contributor.authorMiguel Castelo-Branco
dc.contributor.organizationfi=PET-keskus|en=Turku PET Centre|
dc.contributor.organizationfi=kliininen laitos|en=Department of Clinical Medicine|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.14646305228
dc.contributor.organization-code1.2.246.10.2458963.20.61334543354
dc.converis.publication-id35828224
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/35828224
dc.date.accessioned2025-08-28T01:19:05Z
dc.date.available2025-08-28T01:19:05Z
dc.description.abstractPositron emission tomography (PET) neuroimaging with the Pittsburgh Compound_B (PiB) is widely used to assess amyloid plaque burden. Standard quantification approaches normalize PiB-PET by mean cerebellar gray matter uptake. Previous studies suggested similar pons and white-matter uptake in Alzheimer's disease (AD) and healthy controls (HC), but lack exhaustive comparison of normalization across the three regions, with data-driven diagnostic classification.<br /><br />We aimed to compare the impact of distinct reference regions in normalization, measured by data-driven statistical analysis, and correlation with cerebrospinal fluid (CSF) amyloid β (Aβ) species concentrations.<br /><br />243 individuals with clinical diagnosis of AD, HC, mild cognitive impairment (MCI) and other dementias, from the Biomarkers for Alzheimer's/Parkinson's Disease (BIOMARKAPD) initiative were included. PiB-PET images and CSF concentrations of Aβ38, Aβ40 and Aβ42 were submitted to classification using support vector machines. Voxel-wise group differences and correlations between normalized PiB-PET images and CSF Aβ concentrations were calculated.<br /><br />Normalization by cerebellar gray matter and pons yielded identical classification accuracy of AD (accuracy-96%, sensitivity-96%, specificity-95%), and significantly higher than Aβ concentrations (best accuracy 91%). Normalization by the white-matter showed decreased extent of statistically significant multivoxel patterns and was the only method not outperforming CSF biomarkers, suggesting statistical inferiority. Aβ38 and Aβ40 correlated negatively with PiB-PET images normalized by the white-matter, corroborating previous observations of correlations with non-AD-specific subcortical changes in white-matter. In general, when using the pons as reference region, higher voxel-wise group differences and stronger correlation with Aβ42, the Aβ42/Aβ40 or Aβ42/Aβ38 ratios were found compared to normalization based on cerebellar gray matter.<br />
dc.format.pagerange603
dc.format.pagerange610
dc.identifier.eissn2213-1582
dc.identifier.jour-issn2213-1582
dc.identifier.olddbid207380
dc.identifier.oldhandle10024/190407
dc.identifier.urihttps://www.utupub.fi/handle/11111/51110
dc.identifier.urnURN:NBN:fi-fe2021042719732
dc.language.isoen
dc.okm.affiliatedauthorRinne, Juha
dc.okm.affiliatedauthorJohansson, Jarkko
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3112 Neurosciencesen_GB
dc.okm.discipline3112 Neurotieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherElsevier Inc.
dc.relation.doi10.1016/j.nicl.2018.08.023
dc.relation.ispartofjournalNeuroImage: Clinical
dc.relation.volume20
dc.source.identifierhttps://www.utupub.fi/handle/10024/190407
dc.titleData driven diagnostic classification in Alzheimer's disease based on different reference regions for normalization of PiB-PET images and correlation with CSF concentrations of Aβ species
dc.year.issued2018

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