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Table 1 Demographic data of the patients, number, and characteristics of the nodule using different models of interpretation

From: The added value of using artificial intelligence in adult chest X-rays for nodules and masses detection in daily radiology practice

 

CT

AI

Visual/AI

Visual

Age (median and range)

48 (18–83)

   

 Sex

  Male

81 (54%)

   

  Female

69 (46%)

   

Nodule size (median and range)

10 (5–89)

   

 Per Case (CXR) classification

  Positive

99/150 (66%)

92/150 (61.3%)

93/150 (62%)

92/150 (61.3%)

  Number of nodules

   1 nodule

62/99 (62.6%)

57/92 (62%)

61/93 (65.6%)

62/92 (67.4%)

   2 nodules

12/99 (12.1%)

12/92 (13%)

9/93 (9.7%)

9/92 (9.8%)

   3 nodules

4/99 (4%)

5/92 (5.4%)

8/93 (8.6%)

9/92 (9.8%)

   4 nodules

3/99 (3%)

6/92 (6.5%)

4/93 (4.3%)

4/92 (4.3%)

   5 nodules

2/99 (2%)

4/92 (4.3%)

4/93 (4.3%)

1/92 (1.1%)

   6 nodules

16/99 (16.3%)

8/92 (8.7%)

7/93 (7.5%)

7/92 (7.6%)

  CXR nodule laterality

   Right lung lobe

41/99 (41.4%)

42/92 (45.7%)

40/93 (43%)

39/92 (42.4%)

   Left lung lobe

36/99 (36.4%)

30/92 (32.6%)

33/93 (35.5%)

34/92 (37%)

   Bilateral lung lobes

22/99 (22.2%)

20/92 (21.7%)

20/93 (21.5%)

19/92 (20.6%)

Number of the nodule

216

188

181

170

 Nodule texture

  Solid

139/216 (64.4%)

   

  GG

68/216 (31.5%)

   

  Cystic lesion

9/216 (4.1%)