CT-Based Radiomics Can Predict the Efficacy of Anlotinib in Advanced Non-Small-Cell Lung Cancer

Table 1

Baseline characteristics of patients.

Characteristic	NCE-CT cohort				CE-CT cohort
	Training set (n = 68)	Internal validation set (n = 22)	External validation set (n = 55)	value	Training set (n = 59)	Internal validation set (n = 20)	External validation set (n = 30)	value
Sex				0.826				0.001
Male	45	13	36		37	19	22
Female	23	9	19		22	1	8
Age				0.640				0.268
<65	36	11	33		32	8	19
≥65	32	11	22		27	12	11
Tobacco use				0.464				0.716
Smoker	29	7	26		29	11	13
Nonsmoker	39	15	29		30	9	17
ECOG PS				0.193				0.249
0∼1	56	19	39		47	15	19
≥2	12	3	16		12	5	11
Metastasis lessons ≥3				0.453				0.729
Yes	9	4	12		8	3	6
No	59	18	43		51	17	24
Brain metastases				0.789				0.781
Yes	6	3	5		7	3	5
No	62	19	50		52	17	24
Liver metastases				0.284				0.500
Yes	6	0	6		5	2	5
No	62	22	49		54	18	25
Bone metastases				0.699				0.729
Yes	13	5	14		8	3	6
No	55	17	41		51	17	24
Pathological type				0.055				0.615
Adenocarcinoma	46	12	44		40	11	21
Squamous cell carcinoma	20	10	8		17	9	8
Others	2	0	3		2	0	1
Treatment line				0.090				0.137
1	6	5	5		3	0	0
2	14	4	20		8	5	10
3	48	13	30		48	15	20
Best response				0.283				0.432
PR	19	5	8		12	2	8
SD	40	14	38		35	14	20
PD	5	3	9		10	4	2