Universal survival curve and single fraction equivalent dose: useful tools in understanding potency of ablative radiotherapy
- PMID: 18262098
- DOI: 10.1016/j.ijrobp.2007.10.059
Universal survival curve and single fraction equivalent dose: useful tools in understanding potency of ablative radiotherapy
Abstract
Purpose: Overprediction of the potency and toxicity of high-dose ablative radiotherapy such as stereotactic body radiotherapy (SBRT) by the linear quadratic (LQ) model led to many clinicians' hesitating to adopt this efficacious and well-tolerated therapeutic option. The aim of this study was to offer an alternative method of analyzing the effect of SBRT by constructing a universal survival curve (USC) that provides superior approximation of the experimentally measured survival curves in the ablative, high-dose range without losing the strengths of the LQ model around the shoulder.
Methods and materials: The USC was constructed by hybridizing two classic radiobiologic models: the LQ model and the multitarget model. We have assumed that the LQ model gives a good description for conventionally fractionated radiotherapy (CFRT) for the dose to the shoulder. For ablative doses beyond the shoulder, the survival curve is better described as a straight line as predicted by the multitarget model. The USC smoothly interpolates from a parabola predicted by the LQ model to the terminal asymptote of the multitarget model in the high-dose region. From the USC, we derived two equivalence functions, the biologically effective dose and the single fraction equivalent dose for both CFRT and SBRT.
Results: The validity of the USC was tested by using previously published parameters of the LQ and multitarget models for non-small-cell lung cancer cell lines. A comparison of the goodness-of-fit of the LQ and USC models was made to a high-dose survival curve of the H460 non-small-cell lung cancer cell line.
Conclusion: The USC can be used to compare the dose fractionation schemes of both CFRT and SBRT. The USC provides an empirically and a clinically well-justified rationale for SBRT while preserving the strengths of the LQ model for CFRT.
Comment in
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Toward a unified survival curve: in regard to Park et al. (IntJ Radiat Oncol Biol Phys 2008;70:847-852) and Krueger et al. (Int J Radiat Oncol Biol Phys 2007;69:1262-1271).Int J Radiat Oncol Biol Phys. 2008 Jul 1;71(3):958-9. doi: 10.1016/j.ijrobp.2008.03.016. Int J Radiat Oncol Biol Phys. 2008. PMID: 18514788 No abstract available.
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BED calculations for fractions of very high dose: in regard to Park et al. (Int J Radiat Oncol Biol Phys 2007;69:S623-S624).Int J Radiat Oncol Biol Phys. 2008 Jul 1;71(3):963; author reply 963-4. doi: 10.1016/j.ijrobp.2008.02.050. Int J Radiat Oncol Biol Phys. 2008. PMID: 18514798 No abstract available.
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Linear quadratics is alive and well: in regard to Park et al. (Int J Radiat Oncol Biol Phys 2008;70:847-852).Int J Radiat Oncol Biol Phys. 2008 Nov 1;72(3):957; author reply 958. doi: 10.1016/j.ijrobp.2008.06.1929. Int J Radiat Oncol Biol Phys. 2008. PMID: 19014784 No abstract available.
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Toward a unified survival curve: in regard to Kavanagh and Newman (Int J Radiat Oncol Biol Phys 2008;71:958-959) and Park et al. (IntJ Radiat Oncol Biol Phys 2008;70:847-852).Int J Radiat Oncol Biol Phys. 2009 Feb 1;73(2):640; author reply 640-1. doi: 10.1016/j.ijrobp.2008.08.063. Int J Radiat Oncol Biol Phys. 2009. PMID: 19147035 No abstract available.
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