A radiobiological model of radiotherapy response and its correlation with prognostic imaging variables Journal Article
| Authors: | Crispin-Ortuzar, M.; Jeong, J.; Fontanella, A. N.; Deasy, J. O. |
| Article Title: | A radiobiological model of radiotherapy response and its correlation with prognostic imaging variables |
| Abstract: | Radiobiological models of tumour control probability (TCP) can be personalized using imaging data. We propose an extension to a voxel-level radiobiological TCP model in order to describe patient-specific differences and intra-tumour heterogeneity. In the proposed model, tumour shrinkage is described by means of a novel kinetic Monte Carlo method for inter-voxel cell migration and tumour deformation. The model captures the spatiotemporal evolution of the tumour at the voxel level, and is designed to take imaging data as input. To test the performance of the model, three image-derived variables found to be predictive of outcome in the literature have been identified and calculated using the model's own parameters. Simulating multiple tumours with different initial conditions makes it possible to perform an in silico study of the correlation of these variables with the dose for 50% tumour control () calculated by the model. We find that the three simulated variables correlate with the calculated . In addition, we find that different variables have different levels of sensitivity to the spatial distribution of hypoxia within the tumour, as well as to the dynamics of the migration mechanism. Finally, based on our results, we observe that an adequate combination of the variables may potentially result in higher predictive power. © 2017 Institute of Physics and Engineering in Medicine. |
| Keywords: | tumors; imaging; radiobiology; imaging techniques; monte carlo methods; tcp; tumour control probabilities; radiobiological modeling; mechanistic models; transmission control protocol; initial conditions; kinetic monte carlo methods; migration mechanisms; spatiotemporal evolution |
| Journal Title: | Physics in Medicine and Biology |
| Volume: | 62 |
| Issue: | 7 |
| ISSN: | 0031-9155 |
| Publisher: | IOP Publishing Ltd |
| Date Published: | 2017-04-07 |
| Start Page: | 2658 |
| End Page: | 2674 |
| Language: | English |
| DOI: | 10.1088/1361-6560/aa5d42 |
| PROVIDER: | scopus |
| PUBMED: | 28140359 |
| PMCID: | PMC5512557 |
| DOI/URL: | |
| Notes: | Article -- Export Date: 2 May 2017 -- Source: Scopus |
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