Figure 3 | Scientific Reports

Figure 3

From: Prediction of optical coherence tomography-detected calcified nodules using coronary computed tomography angiography

Figure 3The alternative text for this image may have been generated using AI.

ROC curve analysis for CCTA findings to predict CN; CACS (a), CPV (b), MCPA (c). The optimal cutoffs to predict CNs are CACS ≥ 162 (AUC = 0.76), CPV ≥ 20.1 mm3 (AUC = 0.83), and MCPA ≥ 4.51 mm2 (AUC = 0.87). AUC area under the curve, CACS coronary artery calcification score, CCTA coronary computed tomography angiography, CN calcified nodule, CPV calcified plaque volume, MCPA maximum calcified plaque area on cross-sectional image, ROC receiver operating characteristic curve.

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