Journal article
On Voxel based Iso-Tumor Control Probabilty and Iso-Complication Maps for Selective Boosting and Selective Avoidance Intensity Modulated Radiotherapy
Imaging decisions MRI, Vol.12(1), pp.42-50
2008
DOI: 10.1111/j.1617-0830.2008.00118.x
PMCID: PMC3000747
PMID: 21151734
Abstract
Voxel based iso-Tumor Control Probability (TCP) maps and iso-Complication maps are proposed as a plan-review tool especially for functional image-guided intensity-modulated radiotherapy (IMRT) strategies such as selective boosting (dose painting) and conformal avoidance IMRT. The maps employ voxel-based phenomenological biological dose-response models for target volumes and normal organs. Two IMRT strategies for prostate cancer, namely conventional uniform IMRT delivering an EUD = 84 Gy (equivalent uniform dose) to the entire PTV and selective boosting delivering an EUD = 82 Gy to the entire PTV, are investigated, to illustrate the advantages of this approach over iso-dose maps. Conventional uniform IMRT did yield a more uniform isodose map to the entire PTV while selective boosting did result in a nonuniform isodose map. However, when employing voxel based iso-TCP maps selective boosting exhibited a more uniform tumor control probability map compared to what could be achieved using conventional uniform IMRT, which showed TCP cold spots in high-risk tumor subvolumes despite delivering a higher EUD to the entire PTV. Voxel based iso-Complication maps are presented for rectum and bladder, and their utilization for selective avoidance IMRT strategies are discussed. We believe as the need for functional image guided treatment planning grows, voxel based iso-TCP and iso-Complication maps will become an important tool to assess the integrity of such treatment plans.
Details
- Title: Subtitle
- On Voxel based Iso-Tumor Control Probabilty and Iso-Complication Maps for Selective Boosting and Selective Avoidance Intensity Modulated Radiotherapy
- Creators
- Yusung Kim - Department of Radiation Oncology, University of Iowa, Iowa City, U.S.AWolfgang A Tomé - Department of Human Oncology, University of Wisconsin, Madison, U.S.A
- Resource Type
- Journal article
- Publication Details
- Imaging decisions MRI, Vol.12(1), pp.42-50
- DOI
- 10.1111/j.1617-0830.2008.00118.x
- PMID
- 21151734
- PMCID
- PMC3000747
- NLM abbreviation
- Imaging Decis (Berl)
- ISSN
- 1433-3317
- eISSN
- 1617-0830
- Language
- English
- Date published
- 2008
- Academic Unit
- Radiation Oncology
- Record Identifier
- 9984047664002771
Metrics
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