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• W2897816124 abstract "The newly proposed “ATN” classification system utilizes dichotomized biomarkers of amyloid, tau, and neurodegeneration resulting in eight possible biomarker combinations. While “T” is motivated by AD neuropathology, it requires either a CSF sample or Tau PET. Moreover, in MCI patients “N” appears more informative regarding clinical conversion to AD (Novak et al., Polcher et al., Burnham et al., AAIC 2017). The aim of the present study was to assess the ability of a previously validated (Mikhno et al., AAIC 2015) voxel-based amyloid PET quantitation software to identify preclinical and prodromal AD groups as established by ATN status. 229 non-demented subjects (not used for training) were included from the ADNI-GO/ADNI2 cohort: 86 healthy controls (CTR), 143 MCI. All subjects had complete ATN profiles available for analysis. “A”: [18F]florbetapir PET amyloid positivity was established using syngo.PET Amyloid Plaque (sPAP). “T”: CSF p-tau status was established with the new Elecsys assay. “N”: hippocampal volume was calculated with fast quantitation previously validated against EADC/ADNI harmonized protocol (Mikhno et al., HAI 2016). Voxel-based-SUVRs from corresponding PET/T1 MRI scan pairs were assessed for their ability to identify preclinical, or combined preclinical/prodromal groups based on ATN profiling (+, -, “x” denotes + or -). Receiver operating characteristic area under the curve (AUC) for distinguishing between preclinical AD (defined as A+T+Nx, n=29) vs. A-TxNx/A+T-Nx (n=57) CTR subjects was 0.917. AUC for preclinical/prodromal AD (defined as A+T+Nx, n=86) vs. A-TxNx/A+T-Nx (n=143) CTR/MCI subjects was 0.918. For distinguishing between A+T+/A+N+ (n=88) and A-TxNx/A+T-N- (n=141) CTR/MCI subjects AUC was 0.928. Voxel-based Amyloid PET quantitation showed high concordance with the ATN classification established preclinical and preclinical/prodromal disease biomarker profiles (A+T+Nx), as determined by the reference clinical region-based quantitation method (sPAP), Elecsys assay for p-tau, and fast hippocampus volumetry. When the preclinical/MCI stage disease definition was based on A+T+ or A+N+ as previously contemplated in the NIA-AA framework (stage 2/3, MCI-AD-high) the accuracy was equally high. Use of a single, integrated quantitative PET measure that accurately detects preclinical disease as defined in the new ATN classification may have potential applications in disease understanding and trial enrichment." @default.
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• W2897816124 date "2018-07-01" @default.
• W2897816124 modified "2023-10-16" @default.
• W2897816124 title "P2‐422: IDENTIFYING EARLY DISEASE: CONCORDANCE BETWEEN AUTOMATED VOXEL‐BASED AMYLOID PET QUANTITATION AND ATN CLASSIFICATION" @default.
• W2897816124 doi "https://doi.org/10.1016/j.jalz.2018.06.1114" @default.
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