AbstractBackgroundVisual assessment of [18F]flutemetamol amyloid PET images, performed regionally (frontal, lateral temporal, posterior cingulate/precuneus, temporo‐parietal, striatum), is recommended, with a positive (abnormal) classification if any one of these regions is clearly positive. Changes in the striatum, known to contain extensive fibrillar amyloid deposits in AD, could identify likely converters in Subjective Cognitive Decline (SDC) or Mild Cognitive Impairment (MCI) subjects. CSF biomarkers are proven to detect abnormal amyloid metabolism in early stages of AD, with Aβ42/40 more reliable than Aβ42 alone. We applied a novel regional Centiloid Atlas, based on standard Centiloid (CL) cortical VOIs with additional striatal , aiming to better stratify amyloid abnormalities. Correlation between CL and Aβ42/40 was also investigated.MethodsThe regional Centiloid atlas, developed by overlaying standard CL cortical VOI on AAL atlas and incorporating additional striatal regions, was applied to 394 [18F]flutemetamol subjects from the Swedish BioFINDER I study following the methods of Klunk et.al. (Alzheimer’s & Dementia, 2015). In total, 387 Subjects with CSF Aβ42/40 information from the ADx analysis platform available, were included for analysis.ResultsAverage Aβ42/40 and CL values are presented (Table 1). Statistically significant differences in Aβ42/40 between control and MCI (p=0.0004), and SCD and MCI (p=0.0031) were observed (Fig. 1). Statistically significant differences in CL were also found in the cortical (p=0.007 or less) and striatal (p=0.028 or less) regions across all groups. Correlation between CL and Aβ42/40 for controls was moderate in both cortical (R2=0.35, Fig. 1) and striatal (R2=0.33, Fig. 2) regions. Similar correlations were found for SCD (Cortical: R2=0.52, Striatal: R2=0.48) and MCI (Cortical: R2=0.52, Striatal: R2=0.54).ConclusionsStandard Centiloid PET quantification provides global values across the cortical region. Identifying combined striatal differences in [18F]flutemetamol retention may provide additional information, aiding . Detecting these abnormalities and understanding their relationship to CSF biomarker changes may be useful in identifying those subjects for progression to AD. Further work to identify differences between cortical and striatal uptake in within subjects is ongoing.