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. Author manuscript; available in PMC: 2016 Dec 1.
Published in final edited form as: NMR Biomed. 2015 Oct 9;28(12):1645–1654. doi: 10.1002/nbm.3412

Fig. 3.

Fig. 3

(A) shows a scatterplot depicting mid-therapy changes in ΔADC and ΔD for patients experiencing presence/absence of complete response (CR). (B) shows a Contour plot depicting the posterior probability of observing complete response as a function of mid-therapy changes in ΔADC and ΔD obtained from analysis using Bayesian QDA. (C) shows a Receiver operating characteristics curve obtained from the Bayesian model for predicting complete response using mid-therapy changes in ΔADC and ΔD using leave-one-out cross-validation. Combined the parameters attained an AUC=0.87 (95% CI: 0.79, 0.96) with sensitivity=0.63, specificity=0.85, and accuracy=0.78.