Multimodal Magnetic Resonance Imaging in the Diagnosis of Cervical Cancer and its Correlation with the Differentiation Process of Cervical Cancer

Purpose: To investigate and compare DWI, IVIM and DKI in the diagnosis of cervical cancer and their correlation with the degree of differentiation. Methods: : DWI, IVIM and DKI imaging data of 39 cases of cervical cancer (cervical cancer group) and 30 cases of normal cervical patients (normal cervical group) were retrospectively analyzed. The ADC values of DWI single exponential model, IVIM related double exponential parameters (ADC slow (D), ADC fast (D *) and diffusion fraction (f) and DKI related parameters (apparent diffusion coefficient (MK), apparent kurtosis coefficient (MD) were compared between cervical cancer group with different differentiation degree, normal cervical group and cervical cancer group. Results: : Compared with the normal cervical tissue, the ADC, D, MD values of cervical cancer group were lower, and the D *, f, MK values were increased, all the parameters were statistically significant (P < 0.05). The higher the differentiation degree of cervical cancer, the higher ADC, D, MD values, and the smaller D*, F, MK values. The difference of ADC, D and MK values was statistically significant (P < 0.05). MK value had the best diagnostic efficiency in the differential diagnosis of cervical cancer with low and medium differentiation, high and low differentiation (P 0.05), There was no significant difference in the MD value between low and high differentiation cervical cancer (P > 0.05). Conclusion: DWI, IVIM and DKI can be used to differentiate cervical cancer from normal cervical tissue. IVIM and DKI are of great significance in the differential diagnosis of cervical cancer with different degrees of differentiation.