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Table 1 Baseline patient and lesion characteristics

From: Diagnostic performance of deep learning and computational fluid dynamics-based instantaneous wave-free ratio derived from computed tomography angiography

Parameter

Number of patients (36)

Age (years)

67.8 ± 7.9

Men, n (%)

28 (78)

Weight (kg)

68.8 ± 10.3

Height (cm)

166.3 ± 7.2

Body mass index (kg/m2)

24.8 ± 3.2

Cardiovascular risk factors, n(%)

 Hypertension

27 (75)

 Diabetes mellitus

11 (31)

 Hypercholesterolemia

8 (22)

 Current smoker

16 (44)

LVEF (%)

65.53 ± 6.46

EDV (mL)

110.65 ± 22.63

ESV (mL)

38.31 ± 11.31

LVIDd (mm)

4.83 ± 0.43

LVIDs (mm)

3.08 ± 0.37

Lesion location, n (%)

 LAD

26 (72)

 LCX

4 (11)

 RCA

6 (17)

Coronary CT angiography

Agatston score, n (%)

 0–399

29 (81)

 400–799

1 (3)

 > 799

6 (17)

 CCTA stenosis ≥ 50%

10 (28)

Invasive physiologic indices

 FFR

0.80 ± 0.10

 iFR

0.91 ± 0.06

Noninvasive physiologic indices

 AccuiFRct

0.90 (0.97–0.95)

 AccuiFRct≤0.89

15 (42)

 iFR ≤ 0.89

14 (39)

 FFR ≤ 0.80

15 (42)

  1. LVEF, left ventricular ejection fraction; EDV, end diastolic volume; LVIDd, left ventricular internal diameter at end-diastole; LVIDs, left ventricular internal diameter at end-systole; ESV, end systolic volume; LAD, left anterior descending artery; LCX, left circumflex artery; RCA, right coronary artery; CT, computed tomography; CCTA, coronary computed tomography angiography; FFR, fractional flow reserve; iFR, instantaneous wave-free ratio; AccuiFRct,instantaneous wave-free ratio derived from coronary computed tomography angiography