Change search
ReferencesLink to record
Permanent link

Direct link
Dose painting by numbers - do the practical limitations of the technique decrease or increase the probability of controlling tumours?
Linköping University, Sweden.ORCID iD: 0000-0001-8171-2541
Stockholm University, Faculty of Science, Department of Physics. Karolinska Institutet, Sweden.ORCID iD: 0000-0002-7101-240X
2013 (English)In: IFMBE Proceedings, ISSN 1680-0737, Vol. 39, 1731-1734 p.Article in journal (Refereed) Published
Abstract [en]

One of the important questions regarding the feasibility of dose-painting-by-numbers approaches for treatment planning concerns the influence of the averaging of the imaging techniques used and the resolution of the planned and achieved dose distributions. This study investigates the impact of these aspects on the probability of controlling dynamic tumours. The effectiveness of dose painting approaches to target tumour hypoxia has been investigated in terms of the predicted tumour control probabilities (TCP) for tumours with dynamic oxygenations. Several levels of resolution for the resistance of the tumour or the planned dose distributions have been investigated. A very fine heterogeneous dose distribution ideally calculated at voxel level for a high target TCP would fail to control a tumour with dynamic oxygenation during the course of fractionated radiotherapy as mismatches between hotspots in the dose distribution and resistant hypoxic foci would lead to a significant loss in TCP. Only adaptive treatment would lead to reasonably high TCP. A coarse resolution for imaging or for dose distributions might compensate microscale mismatches in dynamic tumours, but the resulting tumour control could still be below the target levels. These results indicate that there is a complex relationship between the resolution of the dose-painting-by-numbers approaches and the dynamics of tumour oxygenation. Furthermore, the clinical success of hypoxia targeting strategies in the absence of adaptive approaches might be explained by changes in tumour radiation resistance through reoxygenation.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2013. Vol. 39, 1731-1734 p.
Keyword [en]
treatment planning, oxygenation, treatment optimisation
National Category
Cancer and Oncology
Research subject
Oncology; Radiation Physics
URN: urn:nbn:se:su:diva-79118DOI: 10.1007/978-3-642-29305-4_455OAI: diva2:547453
World Congress on Medical Physics and Biomedical Engineering, 2012, Beijing, China
Available from: 2012-08-28 Created: 2012-08-28 Last updated: 2015-06-15Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Dasu, AlexandruToma-Dasu, Iuliana
By organisation
Department of Physics
Cancer and Oncology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 103 hits
ReferencesLink to record
Permanent link

Direct link