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Identifying optimal clinical scenarios for synchrotron microbeam radiation therapy: A treatment planning study.
- Source :
- Physica Medica; Apr2019, Vol. 60, p111-119, 9p
- Publication Year :
- 2019
-
Abstract
- • Small or superficial target volumes are optimal for MRT. • Peak doses up to 100 Gy can be achieved with acceptable valley dose to OARs. • Treatment volume is a more important factor than depth in determining PVDR. Synchrotron Microbeam Radiation Therapy (MRT) is a pre-clinical modality characterised by spatial dose fractionation on a microscopic scale. Treatment planning studies using clinical datasets have not yet been conducted. Our aim was to investigate MRT dose-distributions in scenarios refractory to conventional treatment and to identify optimal settings for a future Phase I trial. MRT plans were generated for seven scenarios where re-irradiation was performed clinically. A hybrid algorithm, combining Monte Carlo and convolution-based methods, was used for dose-calculation. The valley dose to organs at risk had to respect the single fraction tolerance doses achieved in the corresponding re-irradiation plans. The resultant peak dose and the peak-to-valley dose ratio (PVDR) at the tumour target volume were assessed. Peak doses greater than 80 Gy in a single fraction, and PVDRs greater than 10, could be achieved for plans with small (<35 cm<superscript>3</superscript>) or shallow volumes, particularly recurrent glioblastoma, head and neck tumours, and select loco-regionally recurrent breast cancer sites. Treatment volume was a more important factor than treatment depth in determining the PVDR. The mean PVDR correlated strongly with the size of the target volume (r s = −0.70, p = 0.01). The PVDRs achieved in these clinical scenarios are considerably lower than those reported in previous pre-clinical studies. Our findings suggest that head and neck sites will be optimal scenarios for MRT. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 11201797
- Volume :
- 60
- Database :
- Supplemental Index
- Journal :
- Physica Medica
- Publication Type :
- Academic Journal
- Accession number :
- 136345670
- Full Text :
- https://doi.org/10.1016/j.ejmp.2019.03.019