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Abstract #2137

Prediction of Risk Stratification and Proliferation Status in Endometrioid Endometrial Adenocarcinoma based on Time-Dependent Diffusion MRI

Yu zhao1, Meng Cheng1, Feng zhao1, Yule Chen1, Zhen Zhao1, Hui Ma2, Gang Wang1, Dan Wang1, Zhixiao Xue1, Xiaoxiao Zhang3, Huijuan Yin4, Fengtan Li1, and Junping Wang1
1Tianjin Medical University General Hospital, Tianjin, China, 2Tianjin Medical University General Hospital, tianjin, China, 3Philips Healthcare, wuhan, China, 4Institute of Biomedical Engineering, Tianjin, China

Synopsis

Keywords: Endocrine, Diffusion Modeling

Motivation: An accurate and non-invasive preoperative evaluation method is urgently needed to guide the surgical treatment of endometrioid endometrial adenocarcinoma

Goal(s): this study aimed to apply td-dMRI-based microstructural mapping in predicting risk stratification and proliferation status of EEA , attempting to provide a potential method for non-invasive assessment of the prognosis.

Approach: The td-dMRI data were acquired with pulsed gradient spin echo (PGSE) sequence, low and high frequency oscillating gradient spin echo (OGSEN1: 16.7 Hz; OGSEN2: 33.3 Hz) sequences on a 3.0 T MRI scanner.

Results: The diagnostic potential of td-dMRI microstructural mapping is demonstrated to noninvasively probe pathologic characteristics in EEA in clinical setting

Impact: high-risk and high-proliferation groups had smaller cell diameter derived from td-dMRI compared to low-risk and low-proliferation groups

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Keywords