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. 2020 Mar 31;10:418. doi: 10.3389/fonc.2020.00418

Table 1.

Demographic characteristics of 323 patients with 373 GGNs in two datasets.

Characteristic Training and validation dataset (N = 246) Testing dataset (N = 127)
Non-IA IA P Non-IA IA P
119 127 86 41
Sex Male 40 42 0.15 19 16 0.15
Female 73 74 43 16
Age (mean ± SD, year) 56.5 ± 11.8 59.7 ± 10.3 0.03 51.8 ± 12.1 58.1 ± 8.6 0.03
Location RUL 48 (19.5%) 52 (21.1%) 0.64 28 (22.0%) 18 (14.2%) 0.13
RML 6 (2.4%) 9 (3.7%) 6 (4.7%) 3 (2.4%)
RLL 17 (6.9%) 19 (7.7%) 15 (11.8%) 7 (5.5%)
LUL 34 (13.8%) 32 (13.0%) 25 (19.7%) 7 (5.5%)
LLL 14 (5.7%) 15 (6.1%) 12 (9.4%) 6 (4.7%)
Diameter (mm) (3, 10) 72 (29.3%) 42 (17.1%) 0.004 67 (52.8%) 8 (6.3%) <0.0001
(10, 20) 39 (15.9%) 68 (27.6%) 19 (15.0%) 22 (17.3%)
(20, 30) 8 (3.3%) 17 (6.9%) 0 (0%) 11 (8.7%)
Type pGGN 88 (35.8%) 65 (26.4%) 0.0002 78 (61.4%) 18 (14.2%) <0.0001
sGGN 31 (12.6%) 62 (25.2%) 8 (6.3%) 23 (18.1%)

IA, invasive adenocarcinoma; pGGO, pure ground glass nodule; sGGN, part-solid ground glass nodule.