Can the computed tomography texture analysis of colorectal liver metastases predict the response to first-line cytotoxic chemotherapy?

Table 4 Radiomic features associated with response to chemotherapy

	Univariable models			Multiple model
	OR (95%CI)	P value1	AUC	OR (95%CI)	P value1	AUC
Minimum histogram gradient intensity	3.82 (1.26-15.3)	0.02	0.74	3.24 (1.05-12.00)	0.04	0.80
Discretized intensity skewness	0.33 (0.11-0.86)	0.02	0.73
Skewness	0.33 (0.11-0.86)	0.02	0.73
Long run low grey level emphasis	3.01 (1.16-9.26)	0.02	0.73	2.84 (0.98-10.09)	0.05
Low grey level count emphasis	3.01 (1.16-9.26)	0.02	0.73
Low grey level run emphasis	3.01 (1.16-9.26)	0.02	0.73
Volume at intensity fraction 10%	0.33 (0.11-0.86)	0.02	0.73
Short run low grey level emphasis	2.83 (1.08-8.81)	0.03	0.71

¹Likelihood ratio test. Results from univariable and multiple logistic regression models. Radiomic features were included as pseudo-continuous tertiles. OR: Odds ratio; CI: Confidence interval; AUC: Area under the receiver operating characteristic curve.