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. 2022 Dec 15;4(6):e220147. doi: 10.1148/ryct.220147

Figure 4:

Comparison of receiver operating characteristic curves to predict hemodynamically significant stenosis. The areas under the receiver operating characteristic curve (AUCs) of models 1–4 were as follows: model 1 (diameter stenosis [DS]), 0.67 (95% CI: 0.57, 0.76); model 2 (DS, kinetic energy [KE]), 0.89 (95% CI: 0.84, 0.95); model 3 (DS, simulated fractional flow reserve [sFFR]), 0.89 (95% CI: 0.84, 0.95); and model 4 (DS, KE, sFFR), 0.93 (95% CI: 0.89, 0.97). There were significant differences between models 1 and 2 (P < .001) and models 1 and 3 (P < .001), with no evidence of a difference between models 2 and 3 (P = .99). The AUC in model 4 was significantly higher than those in model 2 (P = .02) and model 3 (P = .04). Shaded areas represent 95% confidence band.

Comparison of receiver operating characteristic curves to predict hemodynamically significant stenosis. The areas under the receiver operating characteristic curve (AUCs) of models 1–4 were as follows: model 1 (diameter stenosis [DS]), 0.67 (95% CI: 0.57, 0.76); model 2 (DS, kinetic energy [KE]), 0.89 (95% CI: 0.84, 0.95); model 3 (DS, simulated fractional flow reserve [sFFR]), 0.89 (95% CI: 0.84, 0.95); and model 4 (DS, KE, sFFR), 0.93 (95% CI: 0.89, 0.97). There were significant differences between models 1 and 2 (P < .001) and models 1 and 3 (P < .001), with no evidence of a difference between models 2 and 3 (P = .99). The AUC in model 4 was significantly higher than those in model 2 (P = .02) and model 3 (P = .04). Shaded areas represent 95% confidence band.