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Table 1 Clinical features of patients in training and validation cohorts

From: Prediction of p53 mutation status in rectal cancer patients based on magnetic resonance imaging-based nomogram: a study of machine learning

Characteristics

Training cohort (n = 210)

Validation cohort (n = 90)

P-value

Gender (n, %)

Male

148 (70.48)

64 (71.11)

0.912

Female

62 (29.52)

26 (28.89)

CRM status (n, %)

Negative

161 (76.67)

67 (74.44)

0.68

Positive

49 (23.33)

23 (25.56)

Mri-EMVI status (n, %)

Negative

161 (76.67)

64 (71.11)

0.309

Positive

49 (23.33)

26 (28.89)

ACI status (n, %)

Negative

201 (95.71)

83 (92.22)

0.34

Positive

9 (4.29)

7 (7.78)

Lymph Node (n, %)

No metastasis

78 (37.14)

33 (36.67%

0.938

Metastasis

132 (62.86)

57 (63.33)

Tumor stage (n, %)

T1-T2

63 (30.00)

17 (18.89)

0.046

T3-T4

147 (70.00)

73 (81.11)

Age (years)

64.19 ± 10.47

64.13 ± 9.73

0.965

CEA (ng/mL)

10.13 ± 39.74

12.63 ± 37.67

0.613

Tumor size (cm3)

17.63 ± 20.04

21.63 ± 32.62

0.195

Dis (cm)

8.02 ± 3.77

7.98 ± 3.65

0.934

  1. Abbreviations: CRM, circumferential resection margin; EMVI, extramural vascular invasion; ACI, anal canal invasion; CEA, carcinoembryonic antigen; Dis, distance from the end of the convex edge of the tumor to the edge of the anus. Data were presented as counts with percentages or means ± standard deviations