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Abstract #4876

Survival prediction from DCE-MRI kinetic parameters in patients with osteosarcoma using deep learning

Junyu Guo1 and Wilburn E. Reddick1

1St Jude Children's Research Hospital, Memphis, TN, United States

DCE-MRI may be a prognostic biomarker for some tumors including osteosarcoma. The purpose of this study was to assess whether a DCE-MRI kinetic parameter map of osteosarcoma can provide prognostic indicators for clinical results using three deep convolution neural networks (DCNN). In this study, we found that DCNNs can provide biomarkers for overall survivals with accuracy over 0.8; three DCNNs have the comparable performance in prediction of clinical results; and the predictions using DCNN with tumor mask were significantly better than those without using tumor mask.

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