Table 1 Comparing the average AUC scores (with a 95% confidence interval) of the PE classification from CXR, CTPA and Generated CTPAs on our test set

From: X-ray2CTPA: leveraging diffusion models to enhance pulmonary embolism classification

Model

AUC

Accuracy

Specificity

Sensitivity

PPV

NPV

Baselines

CTPA only classifier

0.90 [0.88–0.97] ± 0.04

84.05

83.86

82.74

69.78

92.32

CXR only classifier

0.691 [0.54–0.77] ± 0.06

71.79

70.91

73.91

51.52

86.67

Generated Data

Generated CTPA only classifier

0.80 [0.72–0.9] ± 0.07

74.0

74.1

73.91

54.8

87.0

  1. All AUC results are statistically significant with Delong-ROC test, with p ≤ 0.05.