CT-based radiomics models may predict the early efficacy of microwave ablation in malignant lung tumors

Cancer Imaging

Table 1 Comparisons of patient characteristics

Characteristics	Effective treatment cohort	Ineffective treatment cohort	p value
Age, year	63.27 ± 10.73	69.38 ± 10.05	0.010^*
Gender			0.096
Male	49 (47.1%)	17 (65.4%)
Female	55 (52.9%)	9 (34.6%)
Tumor pathology			0.387
Primary	20 (19.2%)	7 (26.9%)
Metastasis	84 (80.8%)	19 (73.1%)
Tumor indicators			0.927
Absent	37 (35.6%)	17 (65.4%)
Present	67 (64.4%)	9 (34.6%)
Systematic treatment			0.093
Absent	66 (63.4%)	21 (80.8%)
Present	38 (36.5%)	5 (19.2%)
Tumor Size	12.50 (9.03, 17.15)	20.05 (12.53, 31.83)	<0.001^*
Minimum GGO margin depth	5.93 ± 1.98	4.78 ± 1.82	0.008^*
Maximum GGO margin depth	11.95 (9.75, 15.88)	11.30 (8.38, 15.73)	0.331
Density			0.558
Solid	89 (85.6%)	24 (92.3%)
Non-Solid	15 (14.4%)	2 (7.7%)
Location			0.725
Upper middle lobe	56 (53.8%)	13 (50.0%)
Lower lobe	48 (46.2%)	13 (50.0%)
Adjacent large blood vessels			0.088
Absent	67 (64.4%)	12 (46.2%)
Present	37 (35.6%)	14 (53.8%)
Adjacent large bronchus			0.001^*
Absent	96 (92.3%)	17 (65.4%)
Present	8 (7.7%)	9 (34.6%)
Margin			0.065
Smooth	72 (69.2%)	13 (50.0%)
Rough	32 (30.8%)	13 (50.0%)
Pleural pull			0.170
Absent	26 (25.0%)	16 (61.5%)
Present	78 (75.0%)	10 (38.5%)

p-value reflected the differences between the effective treatment and ineffective treatment cohort, ^*p < 0.05 (two-sided) was considered statistically significant. Minimum (Maximum) GGO margin depth refers to the minimum (maximum) distance between the tumor margin and the ablation zone margin

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