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Table 3 Diagnostic performance of CT-FFRML, cCTA (≥ 50% stenosis) and cCTA (≥ 70% stenosis) using stress perfusion cardiovascular magnetic resonance imaging as reference standard

From: Stable patients with suspected myocardial ischemia: comparison of machine-learning computed tomography-based fractional flow reserve and stress perfusion cardiovascular magnetic resonance imaging to detect myocardial ischemia

 

cCTA (≥ 50%)

cCTA (≥ 70%)

CT-FFRML (≤ 0.80)

Sensitivity (%)

94 (71–100)

59 (33–82)

88 (64–99)

Specificity (%)

9 (5–15)

85 (78–91)

90 (84–95)

PPV (%)

12 (11–14)

36 (24–50)

56 (42–69)

NPV (%)

92 (60–99)

94 (90–96)

99 (94–100)

Accuracy (%)

19 (13–27)

82 (75–88)

90 (84–94)

  1. CT-FFRML = fractional flow reserve derived from coronary computed tomography angiography based on machine learning algorithm; cCTA = coronary CT angiography; PPV = positive predictive value; NPV = negative predictive value
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BMC Cardiovascular Disorders

ISSN: 1471-2261

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