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. 2025 Aug 19;12:1640237. doi: 10.3389/fmed.2025.1640237

Table 2.

Univariate and ROC analyses for correlation between the variables and ROTA-related coronary intimal dissection.

Variables Univariate analysis ROC analysis
r p AUC 95%CI Sensitivity Specificity Cutoff value p YI
Dcib −0.407 <0.001 0.942 0.920 0.964 86.4% 95.4% 0.435 <0.001 0.828
Dcio 0.139 0.006 0.664 0.592 0.737 67.9% 65.1% 1.125 <0.001 0.330
Dcmb −0.625 <0.001 1.000 0.999 1.000 98.8% 100.0% 0.720 <0.001 0.988
Dcmo 0.169 0.001 0.661 0.584 0.738 50.0% 80.7% 2.875 <0.001 0.307
Final burr size −0.133 0.009 0.581 0.510 0.652 0.053
Touch angle 0.912 <0.001 0.988 0.968 1.000 94.6% 98.2% 98.2 <0.001 0.946
MinLD −0.104 0.040 0.540 0.459 0.621 0.343
MaxLD −0.119 0.019 0.566 0.495 0.637 0.112

Univariate and ROC analyses for dissection predictors. AUC: Area under ROC curve (95%CI). Dcib/Dcio/Dcmb/Dcmo: Distances defined in Figure 1. MaxLD/MinLD: Lumen diameters (mm). YI: Youden’s index (sensitivity + specificity − 1). Optimal cutoffs: Dcmb = 0.720 mm (sensitivity 98.8%, specificity 100%), touch angle = 98.2° (94.6%/98.2%). p-values from DeLong’s test for AUC comparisons.