A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model.
Guillermo LorenzoJon S HeiselmanMichael A LissMichael I MigaHector GomezThomas E YankeelovAlessandro RealiThomas J R HughesPublished in: Cancer research communications (2024)
Personalization of a biomechanistic model of prostate cancer with mpMRI data enables the prediction of tumor progression, thereby showing promise to guide clinical decision-making during AS for each individual patient.