This week in Mathematical Oncology
Featured Artwork
30/01/2025
BY Artist: Vasileios Vavourakis (in Silico Modeling Group, University of Cyprus, Cyprus)
FEATURED ARTWORK…
In this direction, we developed a data-driven computer modeling tool that can simulate needle insertion and prostate tissue deformation during HDR-BRT. Our tool can integrate magnetic resonance imaging and ultrasound data from prostate cancer patients, and has been tested to recapitulate catheter insertion during HDR-BRT. The simulation tool ability to realistically capture this process and to accurately predict the prostate deformation is evaluated against comprehensive clinical images from cancer patients in Cyprus. This contribution demonstrates our first milestone towards a digital platform for pre-operative planning and intra-operative guidance optimization of HDR-BRT.
Our efforts are now intensified in the research project PROTECT (https://protect-prostate.eu) where we will refine the modelling and image computing algorithms and tools towards high-fidelity personalized brachytherapy in prostate cancer management.
Check out the artwork and write-up here in “This Week in MathOnco”
Based on the paper: Personalised in silico biomechanical modelling towards the optimisation of high dose-rate brachytherapy planning and treatment against prostate cancer published in Frontiers in Physiology
Caption: We explored recently a novel computational approach that can enhance the accuracy of high dose-rate brachytherapy (HDR-BRT), a therapeutic modality against prostate cancer. HDR-BRT involves temporary insertion of radioactive source-carrying catheters into the prostate. However, catheter insertion is a task that is highly dependent on the experience of the treating physician which in turn defines the accuracy and therapeutic outcome of brachytherapy.
FEATURED ARTWORK…
In this direction, we developed a data-driven computer modeling tool that can simulate needle insertion and prostate tissue deformation during HDR-BRT. Our tool can integrate magnetic resonance imaging and ultrasound data from prostate cancer patients, and has been tested to recapitulate catheter insertion during HDR-BRT. The simulation tool ability to realistically capture this process and to accurately predict the prostate deformation is evaluated against comprehensive clinical images from cancer patients in Cyprus. This contribution demonstrates our first milestone towards a digital platform for pre-operative planning and intra-operative guidance optimization of HDR-BRT.
Our efforts are now intensified in the research project PROTECT (https://protect-prostate.eu) where we will refine the modelling and image computing algorithms and tools towards high-fidelity personalized brachytherapy in prostate cancer management.
Check out the artwork and write-up here in “This Week in MathOnco”
