FIGURE 6 from A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model

Abstract

<p>Examples of personalized calculations of prostate cancer growth in the fitting-forecasting scenario. <b>A</b>–<b>D,</b> Prostate cancer growth at the date of the second mpMRI scan during model calibration (<i>t</i><sub><i>MRI</i>,2</sub>; upper row in each panel) and the ensuing prediction of tumor growth at the date of the third mpMRI scan (<i>t</i><sub><i>MRI</i>,3</sub>; bottom row in each panel) in 4 patients. The patients shown in this figure are the same considered in <a href="#fig4" target="_blank">Fig. 4</a>. These results are illustrated using a 3D representation of the mpMRI-extracted prostate geometry of each patient including the imaging-measured and model-calculated tumor regions (red and blue volumes), along with an axial section of the prostate showing the normalized tumor cell density map obtained from the mpMRI data and using the personalized model (i.e., Eq. (<a href="#eqn3" target="_blank">3</a>)).</p>