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. 2016 May 16;11(5):e0154406. doi: 10.1371/journal.pone.0154406

Fig 2. Receiver operating characteristic curves (ROCs) generated from logistic regression models of combined biomarkers of 18F-FDG and 18F-AV45 for predicting conversions in cognitively normal control subjects.

Fig 2

(A) ROCs of model A, 18F-AV45(VST) and FDG(PosCingulate). (B) ROCs of model B, 18F-AV45(VST), and FDG(PosPrecuneus). (C) ROCs of model C, 18F-AV45(VST), and FDG(Occipital). (D) ROCs of model C, AV45(AntCingulate), and FDG(Occipital). (E) ROCs of model E, 18F-AV45(PreFrontal), and FDG(Occipital). The models A to E are expressed as below: Model A: Logit(P) = 6.580+2.724*18F-AV45(VST)-9.105* FDG(PosCingulate); Model B Logit(P) = 6.773+2.909*18F-AV45(VST)-9.332*FDG(PosPrecuneus); Model C: Logit(P) = 3.048+3.495*18F-AV45(VST)-7.959*FDG(Occipital); Model D: Logit(P) = 3.739+3.947*18F-AV45(AntCingulate)-8.735*FDG(Occipital); Model E: Logit(P) = 4.063+3.005*18F-AV45(PreFrontal)-8.468*FDG(Occipital). PosCingulate: posterior cingulate; PosPrecuneus: posterior precuneus; VST: ventral striatum; AntCingulate: anterior cingulate; PreFrontal: prefrontal cortex.