Table 1 Baseline RGB characteristics according to tumor grade.

From: Deep learning diagnostics for bladder tumor identification and grade prediction using RGB method

 

Benigna

CNI

CIS

Low-grade

High-grade

p

NBI

No

83 (4.6)

361 (20.1)

158 (8.8)

547 (30.4)

651 (36.2)

 

Red

159.32 ± 25.32

157.27 ± 24.92

157.76 ± 23.48

160.75 ± 24.91

157.51 ± 25.87

0.168

Green

110.20 ± 24.91

115.05 ± 27.03

112.63 ± 21.59

115.59 ± 24.82

114.08 ± 23.16

0.294

Blue

84.63 ± 19.05

88.50 ± 20.26

86.50 ± 16.15

89.18 ± 19.33

87.89 ± 18.61

0.208

WLI

No

198 (5.3)

729 (19.3)

256 (6.8)

1063 (28.2)

1522 (40.4)

 

Red

180.35 ± 25.35

179.04 ± 22.81

180.85 ± 20.28

176.48 ± 24.39

184.62 ± 22.55

< 0.001

Green

129.38 ± 23.28

129.85 ± 19.29

131.73 ± 16.68

131.69 ± 22.34

130.10 ± 19.96

0.176

Blue

89.68 ± 32.86

94.45 ± 27.34

96.64 ± 25.52

90.94 ± 31.29

96.91 ± 28.62

< 0.001

  1. Data are expressed as number (%), mean ± standard deviation.
  2. CIS carcinoma in situ, CNI chronic non-specific inflammation, NBI narrow-band image, RGB red/green/blue, WLI white-light image.
  3. aBenign defined cystitis cystica or cystitis grandularis except CNI.