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Abstract #4232

Diffusion and perfusion MRI and radiomics signatures for preoperative evaluation of epithelial-mesenchymal transformation in rectal cancer

Yidi Chen1,2, Liling long3, Bin Song1, and Huiting Zhang4
1Radiology, West China Hospital, Sichuan University, Chengdu, China, 2Guangxi Medical University First Affiliated Hospital, Nanning, China, 3Radiology, Guangxi Medical University First Affiliated Hospital, Nanning, China, 4MR Scientific Marketing, Siemens Healthineers, Wuhan, China

Synopsis

This study demonstrated morphological characteristics of MRI can hardly diagnose the expression of E-cadherin and Vimentin in rectal cancer. ADC value (Ultra-high b-Value) was positively and negatively correlated with E-cadherin and Vimentin expression. Ktrans and Kep values were negatively and positively correlated with E-cadherin and Vimentin expression. ADC, Ktrans and Kep values had significant diagnostic efficiencies for low E-cadherin and high Vimentin expression. Radiomics signatures with machine learning have excellent diagnostic efficacy for E-cadherin and Vimentin expression, building the model which combined MRI quantitative parameters and radiomics features will improve the predictive performance for E-cadherin and Vimentin expression.

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