Abstract #3668

Cervical carcinoma: Evaluation using diffusion MRI with a fractional order calculus model and its correlation with histopathologic findings

Hui Liu¹, Liyun Zheng², Dongmei Wu³, Yongming Dai², and Gaofeng Shi¹

¹Department of Radiology, Fourth Hospital of Hebei Medical University, Shijiazhuang, China, ²United Imaging Healthcare, Shanghai, China, ³Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University, Shanghai, China

Synopsis

Clear insights into histological subtype and differentiation grade are essential in cervical carcinoma diagnosis and management. In current study, we demonstrated the feasibility of using high-b-value non-Gaussian diffusion model fractional order calculus (FROC) model to differentiate the tumor subtype and grade of cervical carcinoma. FROC model provided a set of novel diffusion parameters and the combination of these parameters contributed to the best diagnostic performance in differentiation between low-grade and high-grade cervical carcinoma.

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