Squamous cell carcinoma is the most common pathological type in cervical cancer, followed by cervix adenocarcinoma. There are differences in the evaluation of prognosis between the two. Radiomics can quantitatively analyze a large number of image data, and then quantify tumor heterogeneity and noninvasively evaluate tumor biological behavior. The results suggest that radiomics based on mean kurtosis maps of diffusion kurtosis imaging sequences can identify different types of cervical cancer.
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