Predictive Ki-67 Proliferation Index of Cervical Squamous Cell Carcinoma Based on IVIM-DWI Combined with Texture Features

Table 3

Statistical results of the univariate analysis and multivariate logistic regression analysis of the texture features of the high and low Ki-67 PI groups in CSCC.

Variable	Ki-67 PI <50% group	Ki-67 PI ≥50% group	Univariate analysis (p)	Multivariate logistic regression analysis
				OR	95% CI
Wavelet_HHL_GLRLM_LRHGLE	14.591	21.100	0.005	15.93	1.11–228.85	0.042
Wavelet_HLH_GLCM_DE	0.761	0.804	0.011
Wavelet_LHH_GLSZM_LGLZE	0.490	0.419	0.007
lbp_3D_k_firstorder_IR	0.615	0.445	0.017	0.46	0.20–1.06	0.047
Wavelet_HLH_GLCM_IMC1	−0.169	−0.136	0.017	1.98	1.05–3.71	0.034
Wavelet_HHH_GLRLM_LRHGLE	14.412	2.534	0.019
lbp_3D_k_firstorder_skewness	0.001	1.000	0.027
Wavelet_LHL_GLCM_IDN	1.726	2.143	0.027

PI, proliferation index; IVIM-DWI, intravoxel incoherent motion diffusion weighted imaging; CSCC, cervical squamous cell carcinoma; CI, confidence interval; GLCM, gray-level co-occurrence matrix; GLRLM, gray-level run length matrix; GLSZM, gray-level size zone matrix; IMC, informational measure of correlation; LRHGLE, long run high gray-level emphasis; DE, difference entropy; LGLZE, low gray-level zone emphasis; IR, interquartile range; IDN, inverse difference normalized.