%0 DATA
%A Christopher T., Nguyen
%A James, Dawkins
%A Xiaoming, Bi
%A Eduardo, Marbán
%A Debiao, Li
%D 2019
%T Figure 8: ROC Curves of ΔSS, ΔHAT, and Combined ΔSS and ΔHAT to Predict ΔEF
%U https://multimedia.onlinejacc.org/articles/Figure_8_ROC_Curves_of_SS_HAT_and_Combined_SS_and_HAT_to_Predict_EF/8254952
%R 10.25407/JACBTS.8254952.v1
%2 https://multimedia.onlinejacc.org/ndownloader/files/15431117
%K diffusion tensor MRI
%K exosomes
%K fiber architecture
%K regeneration
%K myocardial infarction
%X ΔHAT and ΔSS had comparable predictive values that did not significantly differ (AUC = 0.66 and 0.68, respectively). Combining ΔSS and ΔHAT with the best fit multilinear regression model resulted in significantly (p = 0.04) better predictive value (AUC = 0.87). AUC = area under the curve; ROC = receiver operator characteristic; other abbreviations as in Figure 6.