Table 1 Patient characteristics.

From: Artificial intelligence-based radiomics for the prediction of nodal metastasis in early-stage lung cancer

Variable

Derivation cohort n = 480 (%)

Validation cohort n = 240 (%)

p value

Age, years (mean ± SD)

23–86 (66 ± 10)

38–87 (67 ± 10)

0.245

Sex, male

236 (49)

122 (51)

0.673

Any smoking history

271 (57)

146 (61)

0.262

Comorbidities, present

227 (47)

132 (55)

0.051

FEV1.0, L (mean ± SD)

0.98–4.93 (2.36 ± 0.67)

0.89–4.93 (2.28 ± 0.64)

0.125

FEV1.0% (mean ± SD)

39–96 (73 ± 9)

35–93 (73 ± 10)

0.795

Clinical stage

(0-IA2 vs. IA3)

0.163

0

32 (7)

13 (6)

IA1

94 (20)

43 (18)

IA2

201 (42)

95 (40)

IA3

153 (32)

89 (37)

Pathological stage

(I vs. II-III)

0.234

IA

312 (65)

164 (68)

IB

92 (19)

46 (19)

II

40 (8)

16 (7)

III

36 (8)

14 (6)

Histology

0.274

Adenocarcinoma

422 (88)

204 (85)

Others

58 (12)

36 (15)

Pathological lymph-node status

(N0 vs. N1-3)

0.869

N0

420 (88)

213 (89)

N1

25 (5)

13 (5)

N2

31 (7)

14 (6)

N3

4 (1)

0

Surgical procedure

0.008

Lobectomy

430 (90)

229 (95)

Segmentectomy

50 (10)

11 (5)

  1. SD standard deviation; FEVforced expiratory volume.