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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