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.
A personalized mathematical tool for neuro-oncology: A clinical case study.International Journal of Non-Linear Mechanics, 107:170–181
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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.