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Abstract #2996

Is it Feasible? IVIM-DWI and T2WI-based Texture Analysis Predicting Histological Types of Cervical Carcinoma Before Operation

Jiang-Ning Dong1 and Bin Shi1
1The First Affiliated Hospital of USTC, Anhui Provincial Cancer Hospital, Hefei, China

The combination of IVIM-DWI biomarkers and T2WI-based texture features had good predictive performance to evaluate three different histological types of cervical carcinoma by synergizing diffusion, perfusion and heterogeneous features, especially for cervical squamous cell carcinoma and adenocarcinoma. A novel quantitative preoperative imaging model composed of IVIM-DWI and TA is a useful supplement for histopathological diagnosis, and might be used in clinical practice to assist in the formulation of treatment strategy.

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