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Table 2 CT imaging features of NCIP in different age groups

From: Clinical and radiological imaging as prognostic predictors in COVID-19 patients

Age groups

Child (No = 4)

Young age (No = 62)

Middle age (No = 88)

Old age (No = 33)

Total (No = 187)

CT features

Bilateralism

 Unilateral

2 (50)

21 (33.8)

17 (19.3)

6 (18.2)

46 (24.6)

 Bilateral

2 (50)

41 (66.1)

71 (80.6)

27 (81.8%)

141 (75.4)

Anteroposterior distribution

 Anterior

1 (25)

29 (46.8)

61 (69.3)

25 (75.8)

116 (62)

 Posterior

3 (75)

40 (64.5)

62 (70.5)

19 (57.6)

124 (66.3)

Axial distribution

 Hilar

0

24 (38.7)

46 (52.3)

21 (63.6)

91 (48.7)

 Centrilobular

1 (25)

38 (61.2)

67 (76.)

28 (84.8)

134 (71.7)

 Pleural based

3 (75)

56 (90.3)

85 (96.6)

31(93.9)

175 ( 93.5)

Predominant axial distribution

 Pleural based

3 (75)

43 (69.3)

60 (68.2)

21 (63.6)

127 (67.9)

 Centrilobular

1 (25)

3 (4.8)

8 (9.1)

2 (6.3)

14 (7.5)

 No specific

0

16 (25.8)

20 (22.7)

10 (30.3)

46 (24.6)

Lobar distribution

 Lower lobe

3 (75)

53 (85.5)

81 (92)

31 (93.9)

168 (89.8)

 Middle lobe

0

27 (43.5)

58 (65.9)

27 (81.8)

112 (59.9)

 Upper lobe

1 (25)

39 (62.9)

77 (87.5)

27 (81.8)

144 (7.7)

 Apex

0

13 (20.9)

44 (50)

24 (72.7)

81 (43.3)

 Lower lobe predominance

3 (75)

37 (59.6)

47 (53.4)

15 (45.5)

102 (54.5)

CT pattern

 GGO

4 (100)

60 (96.8)

82 (93.2)

31 (93.9)

177 (94.7)

 Consolidation

0

31 (50)

55 (62.5)

19 (57.6)

105 (56.1)

 Crazy-paving

0

16 (25.8)

35 (39.8)

14 (42.4)

66 (35.3)

Most predominant CT pattern

 GGO

4 (100)

36 (58.1)

50 (56.8)

20 (60.6)

110 (58.8)

 Consolidation

0

12 (19.4)

22 (25)

4 (12.1)

38 (20.3)

 No predominance

0

14 (22.6)

16 (18.2)

9 (27.3)

39 (20.9)

  1. No number, CT computed tomography, NCIP novel coronavirus-infected pneumonia, GGO ground glass opacity
  2. Data represent number of patients with percentage in parenthesis