Personalised in silico biomechanical modelling towards the optimisation of high dose-rate brachytherapy planning and treatment against prostate cancer
High dose-rate brachytherapy presents a promising therapeutic avenue for prostate cancer management, involving the temporary implantation of catheters which deliver radioactive sources to the cancerous site. However, as catheters puncture and penetrate the prostate, tissue deformation is evident which may affect the accuracy and efficiency of the treatment. In this work, a data-driven <i>in silico</i> modelling procedure is proposed to simulate brachytherapy while accounting for prostate biomechanics. Comprehensive magnetic resonance and transrectal ultrasound images acquired prior, during and post brachytherapy are employed for model personalisation, while the therapeutic procedure is simulated via sequential insertion of multiple catheters in the prostate gland. The medical imaging data are also employed for model evaluation, thus, demonstrating the potential of the proposed <i>in silico</i> procedure to be utilised pre- and intra-operatively in the clinical setting.
Authors
- Myrianthi Hadjicharalambous (ORCID: https://orcid.org/0000-0003-1212-5882)
- Vasileios Vavourakis (ORCID: https://orcid.org/0000-0002-4102-2084)
- Eleftherios Ioannou (ORCID: https://orcid.org/0000-0002-9408-5089)
- Karol Miller (ORCID: https://orcid.org/0000-0002-6577-2082)
- Paul Doolan (ORCID: https://orcid.org/0000-0002-2199-5006)
- George C. Bourantas (ORCID: https://orcid.org/0000-0001-9503-4614)
- Iosif Strouthos (ORCID: https://orcid.org/0000-0001-6229-5471)
- Yiannis Roussakis (ORCID: https://orcid.org/0000-0002-9367-4906)
- Constantinos Zamboglou (ORCID: https://orcid.org/0000-0002-7849-7550)
Institutions
- University of Patras (GR)
- The University of Western Australia (AU)
- University of Cyprus (CY)
- Limassol General Hospital (CY)
- Intelligent Systems Research (United States) (US)
- University College London (GB)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2024-10-24
- DOI
- https://doi.org/10.3389/fphys.2024.1491144
- Citations
- 6
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 3.65