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Table 1 Patient demographics of the uterine dataset

From: Generalizable transfer learning of automated tumor segmentation from cervical cancers toward a universal model for uterine malignancies in diffusion-weighted MRI

Variable

Training

Testing

p value

Patient number (n)

256

64

 

Age (year)*

52.14 (11.15)

52.08 (10.77)

0.968

Histology

  

0.602

 Endometroid carcinoma

251 (98.0)

58 (90.6)

 

 Endometrial stromal sarcoma

2 (0.8)

3 (4.7)

 

 Leiomyosarcoma

2 (0.8)

2 (3.1)

 

 Malignant mixed müllerian tumor

1 (0.4)

1 (1.6)

 

Differentiation grade

  

1.000

 Well/moderate

207 (80.9)

52 (81.3)

 

 Poorly

49 (19.1)

12 (18.8)

 

T stage

  

0.811

 1

233 (91.0)

57 (89.1)

 

 2, 3, and 4

23 (9.0)

7 (10.9)

 

N stage

  

0.693

 0

238 (93.0)

61 (95.3)

 

 1

18 (7.0)

3 (4.7)

 

M stage

   

 0

NA

NA

 

 1

NA

NA

 
  1. Data in parentheses are percentages. *Mean (SD)