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Abstract #3199

Evaluation of cervical cancer staging using readout segmentation of long variable echo-trains and single-shot diffusion weighted echo-planar imaging: a comparison study

WeiLiang Qian1, Qian Chen1, Zhongshuai Zhang2, Hong Wang1, Jibin Zhang1, and Jianming Xu1

1Radiology, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, China, 2Diagnosis Imaging, Siemens Healthcare Ltd, Shanghai, China

Diffusion weighted imaging (DWI) sequence based on readout segmentation of long variable echo-trains (RESOLVE) is superior to that based on single-shot echo-planar imaging (SS-EPI) with respect to improved the image quality, which makes the images more valuable for clinical needs. In this study, we propose an idea to evaluate whether such differences in these images have an impact on staging of cervical cancer. The results show that RESOLVE can improve the accuracy of staging of cervical cancer because of the reductions of image artifacts and geometric deformation.

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