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Abstract #5182

Four-compartment Restriction Spectrum Imaging model for Preoperative Grading in Endometrial Cancer

Tianshu Yang1, Yongming Dai2, Dongmei Wu3, Hui Liu4, and Gaofeng Shi4
1Department of Radiology, Renji hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, 2School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 4Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China, Shijiazhuang, China

Synopsis

Keywords: Uterus, Diffusion Modeling

Motivation: Inaccurate preoperative grading of endometrial cancer (EC) can lead to either over-treatment or under-treatment, affecting survival and life quality of patients.

Goal(s): To explore the application of Restriction Spectrum Imaging (RSI) model in the preoperative grading of EC.

Approach: Multi-b-value MR images were collected, regions of interest (ROIs) were manually delineated to perform model fitting for further Mann-Whitney U test and receiver operating curve (ROC) analysis.

Results: RSI4-derived parameters could differentiate between all grades of EC lesions. Further combination of histogram ADC parameters could improve diagnostic performance. Only RSI model derived parameters could discriminate grade-2 from grade-3 lesions.

Impact: Four-compartments RSI model demonstrated a potential for preoperative discrimination across all grades of EC lesions, especially between grade-2 and grade-3. Our findings underscore the potential of the RSI model for non-invasive preoperative imaging grading of lesions in EC patients.

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