CT features and quantitative analysis of subsolid nodule lung adenocarcinoma for pathological classification prediction

Table 3 SSNs qualitative data statistics and analysis results

Characteristics	AAH/AIS(n = 68)	MIA (n = 55)	IAC (n = 93)	P Value
Shape (n)				< 0.001
round/oval	40	34	25^b
irregular	28	21	68^b
Edge
lobulation	5	4	50^b	< 0.001
spiculation	12	22^a	74^b	< 0.001
spine-like process	1	1	13	0.002
Internal
air-containing space	6	16^a	37	< 0.001
air bronchogram	9	19^a	58^b	< 0.001
Vascular
vascular crossing	56	46	84	0.077
vascular change	27	30	82^b	< 0.001
Pleural indentation	12	20^a	72^b	< 0.001
Tumour-lung interface				< 0.001
clear	27	22	69^b
blurry	41	33	24^b

ISSN: 1471-2407