The study aimed to explore the diagnostic value of IVIM-DWI and texture analysis on T2WI for the tumor differentiation grade of cervical squamous cell carcinoma. Finally, we carried out a combined analysis of IVIM-DWI and T2WI-based texture analysis for four compared groups, the AUC of these regression model for four comparison was 0.797, 0.954, 0.795, 0.952, respectively; better than each parameters of IVIM-DWI and texture features alone (0.503~0.684, 0.547~0.805, 0.511~0.712, 0.636~0.792, respectively). Thus, the combination of IVIM-DWI biomarkers and texture features based on tumorous heterogeneity could develop a novel predictive paradigm for the formulation of operation or radiation therapy.
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