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Abstract #2518

Predicting the resectability and pathological grading of pancreatic cancer by intra voxel incoherent motion diffusion-weighted imagingĀ 

Qi liu1, Jing Gang Zhang1, Jie Chen1, Wei Xing1, and Jilei Zhang2
1Changzhou First People's Hospital, Changzhou, China, 2Clinical Science, Philips Healthcare, Shanghai, China

The resectability and pathological grade of pancreatic cancer are important for prognosis of patients. We try to predict the pathological grade and the resectability of pancreatic cancer by quantitative IVIM-DWI. Comparing the IVIM parameters of resectable and unresectable pancreatic cancer, poorly differentiated and highly-moderately differentiated pancreatic cancer, we found that poorly differentiated pancreatic cancer had lower f value than highly-moderately differentiated pancreatic cancer, and resectable pancreatic cancer had higher d, f values than unresectable pancreatic cancer. The quantitative IVIM parameters can predict the resectability and pathological stage of pancreatic cancer, which can be helpful for assessment of resectability.

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