Table 1 (a) Patient recruitment results. (b) Demographic factors across different diagnostic endpoints.

From: Early screening of colorectal cancer using feature engineering with artificial intelligence-enhanced analysis of nanoscale chromatin modifications

 

N (%)

   

(a)

   

Study 1

30 (100%)

   

 Control (Rectal brushing)

10 (33.3%)

   

 Carcinoma (Tissue brushing)

20 (66.7%)

   

Study 2 (Rectal brushing)

256 (100%)

   

 Control

135 (52.7%)

   

 Adenoma

102 (39.8%)

   

 DA

13 (5.1%)

   

 NDA

15 (5.9%)

   

 AA

74 (28.9%)

   

  < 1 cm

23 (8.9%)

   

  1–1.5 cm

35 (13.7%)

   

  > 1.5 cm

16 (6.3%)

   

 HNPCC

9 (3.5%)

   

 Carcinoma

10 (3.9%)

   
 

Age(mean)

Gender (% female)

Smoking (%)

Drinking (%)

(b)

Control

57.4

48.8

16.7

69.2

DA

62.4

35.7

7.1

64.3

NDA

56.8

45.0

15.0

80.0

AA

64.9

50.7

17.8

61.3

Cancer

65.8

50.0

20.0

60.0

Case (NDA + AA + Cancer)

61.7

47.5

15.8

62.7

P value

0.02

0.63

0.58

0.81

  1. (a) DA, Diminutive adenoma (adenoma < 5mm); NDA, Nondiminutive adenoma (adenoma > 5 mm, < 10 mm); AA, Advanced adenoma (adenoma > 10mm, > 25% villous features or high-grade dysplasia); HNPCC, Hereditary Non-polyposis Colorectal Cancer).
  2. (b) Case consists of nondiminutive adenoma (NDA), advanced adenoma (AA), and cancer groups.