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Abstract #3871

Grading of Cervical Cancer by Quantitative Maps from Synthetic MRI

Xiao-Li Song1, Jialiang Ren2, Kaiyu Wang3, and Bing Wu3
1The Second Hospital of Shanxi Medical School, Taiyuan, China, 2GE Healthcare, Beijing, China, 3GE Healthcare, MR Research China, Beijing, China

Cervical cancer remains the most common gynecological cancers. Histological subtype and grade of differentiation determines the course of the disease, the therapeutic outcome and survival of patient. Low-grade cervical cancers are associated with more favorable outcomes and lower tumor recurrence rates when compared to the high-grade cervical cancers.The multiple quantitative maps derived from synthetic magnetic resonance imaging (MRI) might have potential applications in describing the characteristics of cervical cancer.

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