An MRI-calibrated poromechanical model predicts C6 glioma growth in rats with relative tumor volume errors of 4.73-36.03% and Dice scores of 0.75-0.93 on validation data.
Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation.Sci- entific reports, 11(1):8520
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An MRI-informed poromechanical model for organ-scale prediction of glioma growth
An MRI-calibrated poromechanical model predicts C6 glioma growth in rats with relative tumor volume errors of 4.73-36.03% and Dice scores of 0.75-0.93 on validation data.