Improved quantification of amyloid burden and associated biomarker cut-off points: results from the first amyloid Singaporean cohort with overlapping cerebrovascular disease.
Tomotaka TanakaMary C StephensonYing-Hwey NaiDamian KhorFrancis N SaridinSaima HilalSteven VillarazaBibek GyanwaliMasafumi IharaHenri VroomanAshley A WeekesJohn J TotmanEdward G RobinsChristopher P ChenAnthonin ReilhacPublished in: European journal of nuclear medicine and molecular imaging (2019)
The optimal processing for the amyloid quantification of this atypical cohort allows the quantification of all the subjects, producing SUVr values and two novel biomarkers: AβL, showing important increased in their association with various cognitive tests, and ns, a parameter sensitive to non-specific retention variations caused by age and cerebrovascular diseases.
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