Journal article
Dose-painting IMRT optimization using biological parameters
Acta oncologica, Vol.49(8), pp.1374-1384
11/2010
DOI: 10.3109/02841861003767539
PMID: 20429729
Abstract
Abstract
Purpose. Our work on dose-painting based on the possible risk characteristics for local recurrence in tumor subvolumes and the optimization of treatment plans using biological objective functions that are region-specific are reviewed. Materials and methods. A series of intensity modulated dose-painting techniques are compared to their corresponding intensity modulated plans in which the entire PTV is treated to a single dose level, delivering the same equivalent uniform dose (EUD) to the entire PTV. Iso-TCP and iso-NTCP maps are introduced as a tool to aid the planner in the evaluation of the resulting non-uniform dose distributions. Iso-TCP and iso-NTCP maps are akin to iso-dose maps in 3D conformal radiotherapy. The impact of the currently limited diagnostic accuracy of functional imaging on a series of dose-painting techniques is also discussed. Results. Utilizing biological parameters (risk-adaptive optimization) in the generation of dose-painting plans results in an increase in the therapeutic ratio as compared to conventional dose-painting plans in which optimization techniques based on physical dose are employed. Conclusion. Dose-painting employing biological parameters appears to be a promising approach for individualized patient- and disease-specific radiotherapy.
Details
- Title: Subtitle
- Dose-painting IMRT optimization using biological parameters
- Creators
- Yusung Kim - Department of Radiation Oncology, University of Iowa, Iowa City, USAWolfgang A Tomé - Department of Human Oncology University of Wisconsin, Madison, USA
- Resource Type
- Journal article
- Publication Details
- Acta oncologica, Vol.49(8), pp.1374-1384
- Publisher
- Informa Healthcare
- DOI
- 10.3109/02841861003767539
- PMID
- 20429729
- ISSN
- 0284-186X
- eISSN
- 1651-226X
- Language
- English
- Date published
- 11/2010
- Academic Unit
- Radiation Oncology
- Record Identifier
- 9984046922702771
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