Abstract #4137

Predicting Liver Metastasis of Pancreatic Ductal Adenocarcinoma Using Radiomics of Whole Pancreas and Tumor from Dynamic Contrast-enhanced MRI

Lixia Wang¹, Srinivas Gaddam², Chaowei Wu^1,3, Zengtian Deng^1,3, Linda Azab¹, Touseef Ahmad Qureshi¹, Yibin Xie¹, Stephen Pandol ², and Debiao Li^1,3

¹Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ²Division of Digestive and Liver Diseases, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ³Bioengineering, University of California, Los Angeles, CA, United States

Synopsis

Keywords: Pancreas, Pancreas, Radiomics, dynamic contrast enhanced MRI, liver metastasis

Motivation: Prediction of subsequent liver metastasis of pancreatic ductal adenocarcinoma (PDAC) is important for patient management and current prediction performance is insufficient.

Goal(s): To improve the prediction of subsequent liver metastasis from PDAC by integrated radiomic analysis of whole pancreas and PDAC using dynamic contrast enhanced (DCE) MRI.

Approach: Radiomic features were extracted from whole pancreas and PDAC on DCE MRI. Logistic regression model was applied to predict likelihood of subsequent liver metastasis.

Results: Combination of radiomics from whole pancreas and tumor improved liver metastasis prediction than that of tumor alone.

Impact: Improved prediction of subsequent liver metastases with PDAC may allow better management of PDAC patients, potentially saving costs and lives.

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