Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy

Table 7 Multivariable model analysis

Model	Included features	Feature category	P value	AUC of model (95%CI)
ICG	Thickened enhancing cyst wall	ICG	0.001	0.817 (0.709-0.926)
	Enhancing mural nodule < 5 mm	ICG	0.048
Arterial phase radiomics	Log2 (GLCM_col_mean)	Arterial	0.009	0.871 (0.767--0.974)
	GLCM_entropy	Arterial	0.002
Venous phase radiomics	Log2 (energy_HU)	Venous	0.002	0.834 (0.716-0.953)
Combined model	High risk stigmata (1 or more)	ICG	0.022	0.927 (0.851–1.000)
	Log2 (GLCM_col_mean)	Arterial	0.011
	GLCM_entropy	Arterial	0.014

Features with P value of < 0.1 were considered to build multivariable models. Based on these features, backward elimination method (stay level of 0.05), the listed features remained within each model. AUC: Area under the curve; CI: Confidence interval; ICG: International Consensus Guidelines; GLCM: Gray level co-occurrence matrix; COL: Column; HU: Hounsfield units.