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Table 1 Clinical features of training and test sets in the fold 1

From: Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients

Clinical features

Number of patients

Training set (n = 2149)

Test set (n = 538)

p value

Age

2687

67.97 ± 9.65

67.87 ± 9.57

0.837

Sex

Male

2005 (74.6%)

1609 (80.2%)

396 (19.8%)

0.584

Female

682 (25.4%)

540 (79.2%)

142 (20.8%)

Histology

Adenocarcinoma

1501 (55.9%)

1197 (79.7%)

304 (20.3%)

0.986

Squamous cell carcinoma

1038 (1.5%)

834 (80.3%)

204 (19.7%)

Large cell carcinoma

39 (1.5%)

31 (79.5%)

8 (20.5%)

NOS

109 (4.1%)

87 (79.8%)

22 (20.2%)

Overall stage

I

595 (22.1%)

482 (81.0%)

113 (19.0%)

0.906

II

269 (10.0%)

213 (79.2%)

56 (20.8%)

III

836 (31.1%)

667 (79.8%)

169 (20.2%)

IV

987 (36.7%)

787 (79.7%)

200 (20.3%)

T stage

T1

575 (21.4%)

457 (79.5%)

118 (20.5%)

0.394

T2

1066 (39.7%)

852 (79.9%)

214 (20.1%)

T3

544 (20.2%)

426 (78.3%)

118 (21.7%)

T4

502 (18.7%)

414 (82.5%)

88 (175%)

N stage

N0

930 (34.6%)

753 (81.0%)

177 (19.0%)

0.096

N1

329 (12.2%)

273 (83.0%)

56 (17.0%)

N2

709 (26.4%)

546 (77.0%)

163 (23.0%)

N3

719 (26.8%)

577 (80.3%)

142 (19.7%)

M stage

M0

1700 (69.3%)

1363 (80.2%)

337 (19.8%)

0.773

M1

987 (36.7%)

786 (79.6%)

201 (20.4%)

Smoking history

Ever smoker

1861 (69.3%)

376 (20.2%)

1485 (79.8%)

0.763

Never smoker

826 (30.7%)

162 (19.6%)

664 (80.4%)

Smoking amount

2687

29.44 ± 27.28

29.12 ± 27.11

0.809

Dead status

Death

1857 (69.1%)

1485 (80.0%)

372 (20.0%)

0.974

Censored

830 (30.9%)

664 (80.0%)

166 (20.0%)

  1. The datasets were split into two groups, 80% for training and 20% for testing
  2. NOS Non-specified; T Primary tumor; N Regional lymph node; M Distant metastasis