Combining Intravoxel Incoherent Motion Diffusion Weighted Imaging and Texture Analysis for a Nomogram to Predict Early Treatment Response to Concurrent Chemoradiotherapy in Cervical Cancer Patients

Table 3

Statistical analysis results of the texture features in cervical cancer patients (CR versus PR).

Features	CR	PR	Univariate analysis ()	Multivariate logistic regression analysis
				OR	95%CI
Histogram-90th percentile	772.57 ± 92.85	713.70 ± 108.01	0.007
Histogram-variance	6610.00 ± 3339.54	5216.36 ± 2490.30	0.021
GLCM-correlation	0.86 ± 0.04	0.90 ± 0.03	<0.001	43.789^a	1.450–1322.227	0.030
GLCM-IMC1	−0.34 ± 0.04	−0.36 ± 0.04	0.013
GLCM-IMC2	0.94 ± 0.02	0.95 ± 0.02	0.006
GLRLM-LRE	3.27 ± 0.62	4.15 ± 0.87	<0.001	9.774	1.375–60.457	0.023
GLRLM-RP	0.64 ± 0.06	0.67 ± 0.05	0.008
GLRLM-RE	4.84 ± 0.26	5.10 ± 0.29	<0.001
GLSZM-ZE	6.47 ± 0.36	6.83 ± 0.27	<0.001	23.738	1.276–441.707	0.034

^aper 0.1 increment. CR: complete response; PR: partial response; OR: odds ratio; 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; LRE: long run emphasis; RP: run percentage; RE: run entropy; ZE: zone entropy.