Keywords: Quantitative Imaging, MicrostructureThis study conducted an initial investigation of the feasibility of MOLLI-based T1 mapping and DWI by using mono-exponential, bi-exponential, and DKI models for the noninvasive preoperative evaluation of cervical cancer. Our findings indicated that both T1 mapping and non-mono-exponential model DWI can be used to discriminate cervical cancer from normal cervical tissue and adenocarcinoma from SCC. Our results also achieved a significant information gain for identifying SCC grade by combining native T1 and MKmean. Moreover, the maximum or minimum values of diffusion parameters within the whole lesion had advantages over the mean values in the prediction of SCC grade.
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