Construction of a predictive model for gastric cancer neuroaggression and clinical validation analysis: A single-center retrospective study

Table 3 Logistic regression analysis results of the model

Factor	β	Corrected OR (95%CI)	P value
Clinical features
Sex	-5.259	0.005 (0-0.318)	0.012
Tumor thickness	0.351	1.421 (1.051-1.920)	0.022
Borrmann typing	2.167	8.732 (1.486-51.324)	0.016
Spectral CT parameters
Arterial phase CT60 kev	0.065	1.067 (1.012-1.124)	0.016
Portal phase NIC	0.065	1.067 (1.012-1.126)	0.016
Imaging omics features
First-order (median)	0.078	1.081 (1.015-1.151)	0.016

CT: Computed tomography; NIC: Normalized iodine concentration; OR: Odds ratio.