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

Table 1

Logistic regression analysis results of clinical data model based on clinical characteristics for predicting the GP-NENs’ prognosis, .

Clinical data model	Univariate analysis		Multivariate analysis
Factors		Hazard ratio		Hazard ratio
Gender	0.483	0.789 (0.408-1.529)
History of hypertension	0.850	1.066 (0.551-2.060)
Smoking history	0.268	0.684 (0.349-1.341)
Drinking history	0.052	0.511 (0.259-1.007)
Age	0.033	0.885 (0.791-0.990)
Tumor pathological type	0.019	2.314 (1.150-4.657)	0.034	2.351 (1.067-5.181)
Primary tumor site	0.028	2.120 (1.083-4.149)	0.019	2.554(1.167-5.592)
Ki-67	0.015	1.040 (1.008-1.074)	0.022	1.043 (1.006-1.082)
TNM stage	0.012	2.386 (1.214-4.688)	0.044	2.215 (1.021-4.811)
Lymph node metastasis	0.030	1.118 (1.011-1.237)	0.019	1.163 (1.025-1.321)
Distant metastasis	0.026	1.164 (1.019-1.331)
History of diabetes	0.861	1.061 (.549-2.049)