Table 1 Demographic and clinical characteristics.

From: Comparison of blood pool and myocardial 3D printing in the diagnosis of types of congenital heart disease

Patient demographics

Echocardiography and CT reports

Time on modeling (min)

Time on 3D printing and postprocessing (hour)

Average time of the diagnosis by CT or 3D printing (min)

Cost of 3D printing ($)

CaseNo

Age (years)

Weight (kg)

Sex

Blood pool

Myocardial

Blood pool

Myocardial

CT

Blood pool3D printing

Myocardial 3D printing

Blood pool model

Myocardial model

1

19

52

Male

ccTGA

16

25

13

11.5

2.8

0.9

1.8

80

70

2

38

62

Female

DORV

14

21

8

9

2.74

0.74

1.3

50

55

3

9

32

Male

WS

11

24

5

5.5

2.4

1.35

1.98

35

35

4

3

16

Male

CAF

13

22

4.5

4.5

2.53

1.08

1.65

30

32

5

2

13

Female

TOF

9

23

3.5

4.5

2.36

1.05

1.32

22

24

6

48

56

Female

PDA

6

11

3

5

1.56

0.51

0.93

45

48

7

5

18

Male

CoA

5

9

2.5

4

1.69

0.42

0.51

25

30

8

36

51

Female

VSD

8

19

7.5

6

1.91

0.48

0.35

42

45

Mean ± SD

10.25 ± 3.67

19.25 ± 5.63

5.88 ± 3.28

6.25 ± 2.46

2.25 ± 0.44

0.82 ± 0.31

1.23 ± 0.55

41.13 ± 17.3

42.38 ± 14.2

  1. ccTGA congenital corrected transposition of the great arteries, DORV double outlet right ventricular, WS Williams syndrome, CAF coronary artery fistula, TOF tetralogy of Fallot, PDA patent ductus arteriosus, CoA coarctation of the aorta, VSD ventricular septal defect.