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Table 3 SUVRs of eHC (n = 66) and AD subjects (n = 73) (dataset #2) and cutoffs for the detection of established Aβ pathology

From: Early detection of amyloid load using 18F-florbetaben PET

Method Region SUVReHC SUVRAD SUVRcutoff Sensitivity Specificity AUC
MRI-based ROIs Frontal 1.15 ± 0.07 1.57 ± 0.19 1.31 95% 97% 0.98
Lateral temporal 1.15 ± 0.05 1.51 ± 0.17 1.26 97% 98% 0.96
Occipital 1.20 ± 0.06 1.43 ± 0.16 1.29 88% 95% 0.94
Parietal 1.13 ± 0.08 1.51 ± 0.16 1.26 97% 98% 0.98
Anterior cingulate 1.28 ± 0.09 1.70 ± 0.22 1.43 92% 97% 0.98
Posterior cingulate 1.33 ± 0.09 1.77 ± 0.21 1.47 93% 97% 0.97
Precuneus 1.15 ± 0.08 1.60 ± 0.19 1.28 95% 98% 0.98
Composite 1.21 ± 0.06 1.58 ± 0.17 1.38 93% 100% 0.98
CL ROIs Cortex 1.05 ± 0.06
6.8 ± 8.8 CL
1.54 ± 0.22
81.0 ± 33.2 CL
1.24
35.7 CL
95% 100% 0.98
  1. eHC elderly healthy controls, amyloid-beta, SUVReHC SUVR (mean ± SD) of the elderly healthy controls, SUVRAD SUVR (mean ± SD) of the Alzheimer’s disease patients, AUC area under the receiver operating curve, SUVRcutoff SUVR cutoff obtained from the ROC analysis using visual assessment as standard of truth, MRI magnetic resonance imaging, ROI region of interest, CL centiloid