A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model.

Guillermo Lorenzo Jon S Heiselman Michael A Liss Michael I Miga Hector Gomez Thomas E Yankeelov Alessandro Reali Thomas J R Hughes

Published 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.

Keyphrases

prostate cancer
radical prostatectomy

decision making
big data

high resolution
case report

electronic health record