Table 1 Clinical characteristics of the overall dataset.

From: Deep learning-based survival prediction of oral cancer patients

Total number of patients

n = 255

Sex (%)

Female

86 (33.7)

Male

169 (66.3)

Age (mean (SD))

 

57.6 (12.13)

Site (%)

Tongue

73 (28.6)

Mandibular gingiva

62 (24.3)

Maxillary gingiva

40 (15.7)

Buccal cheek

36 (14.1)

Retromolar trigone

25 (9.8)

Floor of mouth

18 (7.1)

Lip

1 (0.4)

Histologic grade (%)

Well differentiated

72 (28.2)

Moderately differentiated

144 (56.5)

Poorly differentiated

39 (15.3)

TNM Stage† (%)

I

71 (27.8)

II

50 (19.6)

III

20 (7.8)

IVA

96 (37.6)

IVB

18 (7.1)

T stage† (%)

T1

79 (31.0)

T2

65 (25.5)

T3

22 (8.6)

T4a

86 (33.7)

T4b

3 (1.2)

N stage† (%)

N0

105 (41.2)

N1

16 (6.3)

N2a

12 (4.7)

N2b

23 (9.0)

N2c

17 (6.7)

N3b

82 (32.2)

Nx‡

79 (31.0)

Bone marrow invasion (%)

58 (22.7)

Perineural invasion (%)

15 (5.9)

Lymphovascular permeation (%)

17 (6.7)

Presence of tumor at resection margin (%)

36 (14.1)

Extranodal extension (%)

29 (11.4)

Postoperative radiation therapy (%)

86 (33.7)

Postoperative CCRT§ (%)

17 (6.7)

Overall recurrence (%)

65 (25.5)

Cancer-related death (%)

44 (17.3)

Follow-up months (mean (SD))

80.5 (52.02)

  1. †According to AJCC 8th classification.
  2. §Concurrent chemoradiotherapy.