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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


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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