Table 4. Diagnostic values of combined PET biomarkers and clinical assessments in predicating Alzheimer’s disease progression.
| Variables | AUC | 95%CI | Sensitivity (%) | Specificity (%) | Accuracy (%) | Compared with the combined variable | |
|---|---|---|---|---|---|---|---|
| Z statistics | P level | ||||||
| NC convert | |||||||
| ADAScogTOTALMOD | 0.782 | 0.723–0.834 | 53.3 | 97.7 | 94.8 | 2.582 | 0.0098** |
| PosPrecuneus of FDG | 0.722 | 0.659–0.779 | 60.0 | 87.4 | 85.6 | 1.324 | 0.1855 |
| Parietal of FDG | 0.804 | 0.747–0.854 | 66.7 | 83.3 | 82.2 | 0.860 | 0.3900 |
| Model A | 0.877 | 0.827–0.916 | 80.0 | 94.9 | 93.9 | ||
| MCI convert | |||||||
| ADAScogTOTALMOD | 0.898 | 0.861–0.927 | 86.2 | 85.4 | 85.5 | 2.587 | 0.0097** |
| MMSE | 0.916 | 0.882–0.943 | 83.6 | 85.1 | 84.9 | 2.202 | 0.0277* |
| PosCingulate of FDG | 0.726 | 0.676–0.772 | 54.4 | 79.9 | 75.7 | 5.127 | <0.0001** |
| Model B | 0.932 | 0.901–0.956 | 96.4 | 81.2 | 83.6 | ||
| MMSE | 0.870 | 0.759–0.942 | 77.8 | 78.8 | 78.7 | 1.173 | 0.2409 |
| MedTemporal of PiB | 0.759 | 0.632–0.859 | 88.9 | 57.4 | 61.9 | 1.989 | 0.0467* |
| Model C | 0.915 | 0.814–0.971 | 77.8 | 90.4 | 88.5 | ||
Note: NC: cognitively normal control (NC), MCI: mild cognitive impairment, ADAS-cog: Alzheimer’s Disease Assessment Scale-Cognitive Sub-scale, AUC: area under curve, PosCingulate: posterior cingulate; PosPrecuneus: posterior precuneus. The 3 logistic regression models are listed below in detail: Model A: Logit(P) = 1.624+0.284*(ADAScogTOTALMOD)+7.832*FDG(PosPrecuneus)-17.957*FDG(Parietal); Model B: Logit(P) = 15.467+0.084*(ADAScogTOTALMOD)-0.553* (MMSE)-3.950*FDG (PosCingulate); Model C: Logit(P) = 3.847–0.634* (MMSE)+7.192*11C-PiB (MedTemporal).
* p<0.05
** p<0.01.