Clinical Data-CT Radiomics-Based Model for Predicting Prognosis of Patients with Gastrointestinal Pancreatic Neuroendocrine Neoplasms (GP-NENs)

Table 3

Logistic regression analysis results of combined model based on mentioned valuable univariate regression analysis factors for predicting the GP-NENs’ prognosis, .

Combined model	Univariate analysis		Multivariate analysis
Factors		Hazard ratio		Hazard ratio
Radscore 1	0.004	1.006 (1.002-1.011)	0.045	1.005 (1.001-1.011)
Radscore 2	0.035	0.998 (0.996-1.000)
Radscore 3	0.002	0.971 (0.952-0.989)	0.021	0.974 (0.953-0.996)
Age	0.033	0.885 (0.791-0.990)
Tumor pathological type	0.019	2.314 (1.150-4.657)
Primary tumor site	0.028	2.120 (1.083-4.149)	0.035	2.481 (1.068-5.757)
Ki-67	0.015	1.040 (1.008-1.074)
TNM stage	0.012	2.386 (1.214-4.688)	0.030	2.534 (1.093-5.872)
Lymph node metastasis	0.030	1.118 (1.011-1.237)	0.028	1.165 (1.017-1.334)
Distant metastasis	0.026	1.164 (1.019-1.331)