Table 1 Patient characteristics of all 1392 women included in our cohort divided in the development dataset (n = 706) and test dataset (n = 686).

From: Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images

Patient characteristics

Development dataset

Test dataset

p value

n

706

686

 

Age at biopsy

  

1.00

Median years (Interquartile range)

36 (33–38)

36 (33–38)

 

Tumor grade (n (%))

  

0.25

Grade 1

113 (16)

89 (13)

 

Grade 2

244 (35)

238 (35)

 

Grade 3

349 (49)

359 (52)

 

Nuclear score (n (%))

  

0.66

1

20 (3)

16 (2)

 

2

335 (47)

315 (46)

 

3

349 (49)

354 (52)

 

Tubular score (n (%))

  

0.62

1

46 (7)

43 (6)

 

2

135 (19)

118 (17)

 

3

524 (74)

524 (76)

 

Mitoses score (n (%))

  

0.64

1

249 (35)

230 (34)

 

2

170 (24)

161 (23)

 

3

286 (41)

295 (43)

 

Subtype (n (%))

  

0.06

HR+/HER2−

394 (56)

345 (50)

 

HR−/HER2−

182 (26)

218 (32)

 

HR+/HER2+

85 (12)

74 (11)

 

HR−/HER2+

36 (5)

42 (6)

 

Tumor size (n (%))

  

0.22

1A–B

128 (18)

114 (17)

 

1C

365 (52)

366 (54)

 

2–3

195 (28)

198 (29)

 

Missing

18 (3)

8 (1)

 

Lymphovascular invasion (n (%))

  

0.81

Absent

587 (83)

566 (83)

 

Present

119 (17)

120 (17)

 

Local treatment (n (%))

  

0.33

Conserving surgery with radiotherapy

448 (63)

451 (66)

 

Mastectomy without radiotherapy

213 (30)

184 (27)

 

Other

45 (6)

51 (7)

 
  1. HR hormone receptor.