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Abstract #3685

Value of Radiomics Approach Based on ADC Maps in Identifying the Pathologic Grade of Endometrioid Endometrial Adenocarcinoma

Dahua Cui1, Ailian Liu1, Yan Guo2, Shifeng Tian1, and Qingwei Song1
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE Healthcare, Shanghai, Shenyang, China

The aim of the study is to explore the value of radiomics approach based on apparent diffusion coefficient (ADC) maps in identifying the pathologic grade of Endometrioid Endometrial Adenocarcinoma (EEA). The AUC of the logistic model based on ADC maps in the testing set was 0.840, sensitivity of 80.0%, specificity of 75.0% and accuracy of 77.5%. The radiomics based on ADC maps has shown a promising identification potential in the pathologic grade of EEA.

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