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Abstract #5161

Assessment of MAGiC abilities of therapeutic selection and prediction on recurrence risk factors and short-term treatment efficacy in CC

Yigang Pei1, Xiaorong Ou1, Weiyin Vivian Liu2, and Wenzheng Li1
1Department of Radiology,Xiangya Hospital of Central South University, Changsha, China, 2GE Healthcare,MR Research, Beijing, China

Synopsis

Keywords: Uterus, Tumors

Motivation: MRI is difficult to quantitatively and qualitatively evaluate cervical cancer (CC) with one acquisition.

Goal(s): To evaluate the efficacy of MAGiC (sy-T2WI; T1, T2 and PD maps) in cervical cancer (CC) for therapeutic selection and prediction on recurrence risk factors (RRF) and short-term treatment efficacy (STE).

Approach: The image quality and tumor staging were assessed by sy-T2WI, and RRF and STE were predicted by the T1, T2, PD map, which compared with hr-T2WI and DWI respectively.

Results: sy-T2WI was similar to hr-T2WI for image quality and tumor staging. The combination of T1 and T2 was superior to ADC for predicting RRF and STE.

Impact: MAGIC is a promising technique for determination on tumor staging, RRF prediction and STE prognosis in CC patients, offering performance equivalent to and even superior to hr-T2WI and DWI. It should be recommended for clinical application.

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