The Linear-Quadratic Model and Most Other Common Radiobiological Models Result in Similar Predictions of Time-Dose Relationships
One of the fundamental tools in radiation biology is a formalism describing time-dose relationships. For example, there is a need for reliable predictions of radiotherapeutic isoeffect doses when the temporal exposure pattern is changed. The most commonly used tool is now the linear-quadratic (LQ) f...
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Veröffentlicht in: | Radiation research 1998-07, Vol.150 (1), p.83-91 |
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description | One of the fundamental tools in radiation biology is a formalism describing time-dose relationships. For example, there is a need for reliable predictions of radiotherapeutic isoeffect doses when the temporal exposure pattern is changed. The most commonly used tool is now the linear-quadratic (LQ) formalism, which describes fractionation and dose-protraction effects through a particular functional form, the generalized Lea-Catcheside time factor, G. We investigate the relationship of the LQ formalism to those describing other commonly discussed radiobiological models in terms of their predicted time-dose relationships. We show that a broad range of radiobiological models are described by formalisms in which a perturbation calculation produces the standard LQ relationship for dose fractionation/protraction, including the same generalized time factor, G. This approximate equivalence holds not only for the formalisms describing binary misrepair models, which are conceptually similar to LQ, but also for formalisms describing models embodying a very different explanation for time-dose effects, namely saturation of repair capacity. In terms of applications to radiotherapy, we show that a typical saturable repair formalism predicts practically the same dependences for protraction effects as does the LQ formalism, at clinically relevant doses per fraction. For low-dose-rate exposure, the same equivalence between predictions holds for early-responding end points such as tumor control, but less so for late-responding end points. Overall, use of the LQ formalism to predict dose-time relationships is a notably robust procedure, depending less than previously thought on knowledge of detailed biophysical mechanisms, since various conceptually different biophysical models lead, in a reasonable approximation, to the LQ relationship including the standard form of the generalized time factor, G. |
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We show that a broad range of radiobiological models are described by formalisms in which a perturbation calculation produces the standard LQ relationship for dose fractionation/protraction, including the same generalized time factor, G. This approximate equivalence holds not only for the formalisms describing binary misrepair models, which are conceptually similar to LQ, but also for formalisms describing models embodying a very different explanation for time-dose effects, namely saturation of repair capacity. In terms of applications to radiotherapy, we show that a typical saturable repair formalism predicts practically the same dependences for protraction effects as does the LQ formalism, at clinically relevant doses per fraction. For low-dose-rate exposure, the same equivalence between predictions holds for early-responding end points such as tumor control, but less so for late-responding end points. Overall, use of the LQ formalism to predict dose-time relationships is a notably robust procedure, depending less than previously thought on knowledge of detailed biophysical mechanisms, since various conceptually different biophysical models lead, in a reasonable approximation, to the LQ relationship including the standard form of the generalized time factor, G.</description><identifier>ISSN: 0033-7587</identifier><identifier>EISSN: 1938-5404</identifier><identifier>DOI: 10.2307/3579648</identifier><identifier>PMID: 9650605</identifier><identifier>CODEN: RAREAE</identifier><language>eng</language><publisher>Oak Brook, Il: Radiation Research Society</publisher><subject>Approximation ; Biological and medical sciences ; Biological effects of radiation ; Brachytherapy ; Brachytherapy - methods ; Dose fractionation ; Dose-Response Relationship, Radiation ; Fractionation ; Fundamental and applied biological sciences. 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J.</creatorcontrib><creatorcontrib>Hlatky, L. R.</creatorcontrib><creatorcontrib>Hahnfeldt, P. J.</creatorcontrib><creatorcontrib>Huang, Y.</creatorcontrib><creatorcontrib>Sachs, R. K.</creatorcontrib><title>The Linear-Quadratic Model and Most Other Common Radiobiological Models Result in Similar Predictions of Time-Dose Relationships</title><title>Radiation research</title><addtitle>Radiat Res</addtitle><description>One of the fundamental tools in radiation biology is a formalism describing time-dose relationships. For example, there is a need for reliable predictions of radiotherapeutic isoeffect doses when the temporal exposure pattern is changed. The most commonly used tool is now the linear-quadratic (LQ) formalism, which describes fractionation and dose-protraction effects through a particular functional form, the generalized Lea-Catcheside time factor, G. We investigate the relationship of the LQ formalism to those describing other commonly discussed radiobiological models in terms of their predicted time-dose relationships. We show that a broad range of radiobiological models are described by formalisms in which a perturbation calculation produces the standard LQ relationship for dose fractionation/protraction, including the same generalized time factor, G. This approximate equivalence holds not only for the formalisms describing binary misrepair models, which are conceptually similar to LQ, but also for formalisms describing models embodying a very different explanation for time-dose effects, namely saturation of repair capacity. In terms of applications to radiotherapy, we show that a typical saturable repair formalism predicts practically the same dependences for protraction effects as does the LQ formalism, at clinically relevant doses per fraction. For low-dose-rate exposure, the same equivalence between predictions holds for early-responding end points such as tumor control, but less so for late-responding end points. Overall, use of the LQ formalism to predict dose-time relationships is a notably robust procedure, depending less than previously thought on knowledge of detailed biophysical mechanisms, since various conceptually different biophysical models lead, in a reasonable approximation, to the LQ relationship including the standard form of the generalized time factor, G.</description><subject>Approximation</subject><subject>Biological and medical sciences</subject><subject>Biological effects of radiation</subject><subject>Brachytherapy</subject><subject>Brachytherapy - methods</subject><subject>Dose fractionation</subject><subject>Dose-Response Relationship, Radiation</subject><subject>Fractionation</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Ionizing radiations</subject><subject>Irradiation</subject><subject>Lesions</subject><subject>Linear Models</subject><subject>Mathematical Computing</subject><subject>Modeling</subject><subject>Models, Biological</subject><subject>Predictive Value of Tests</subject><subject>Radiation dosage</subject><subject>Radiobiology</subject><subject>Radiobiology - methods</subject><subject>Radiotherapy</subject><subject>Radiotherapy Planning, Computer-Assisted - methods</subject><subject>Time Factors</subject><subject>Tissues, organs and organisms biophysics</subject><issn>0033-7587</issn><issn>1938-5404</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kE1LwzAYx4Moc07xEwg5CJ6qT5ImbY4yX2EynfNckiZ1kbYZSXfw5ke3ujK8eHpe_j-eB34InRK4pAyyK8YzKdJ8D42JZHnCU0j30RiAsSTjeXaIjmL8gH4mQo7QSAoOAvgYfS1XFs9ca1VIXjbKBNW5Ej95Y2usWtN3scPzbmUDnvqm8S1eKOO8dr72765U9ZaNeGHjpu6wa_Gra1ytAn4O1riyc76N2Fd46Rqb3Phoe7RWv-uVW8djdFCpOtqToU7Q293tcvqQzOb3j9PrWVKmAF1CwOY6pyQXnKYpoaBoKg03hjPQOWGZpJJwaRkFoStVMS0k1RkRnFXcGs0m6GJ7tww-xmCrYh1co8JnQaD4UVgMCnvybEuuN7qxZscNzvr8fMhV7AVUQbWlizuMUtkf-oN9xM6Hf799A1ARgws</recordid><startdate>19980701</startdate><enddate>19980701</enddate><creator>Brenner, D. 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Psychology</topic><topic>Ionizing radiations</topic><topic>Irradiation</topic><topic>Lesions</topic><topic>Linear Models</topic><topic>Mathematical Computing</topic><topic>Modeling</topic><topic>Models, Biological</topic><topic>Predictive Value of Tests</topic><topic>Radiation dosage</topic><topic>Radiobiology</topic><topic>Radiobiology - methods</topic><topic>Radiotherapy</topic><topic>Radiotherapy Planning, Computer-Assisted - methods</topic><topic>Time Factors</topic><topic>Tissues, organs and organisms biophysics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brenner, D. J.</creatorcontrib><creatorcontrib>Hlatky, L. R.</creatorcontrib><creatorcontrib>Hahnfeldt, P. J.</creatorcontrib><creatorcontrib>Huang, Y.</creatorcontrib><creatorcontrib>Sachs, R. 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K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Linear-Quadratic Model and Most Other Common Radiobiological Models Result in Similar Predictions of Time-Dose Relationships</atitle><jtitle>Radiation research</jtitle><addtitle>Radiat Res</addtitle><date>1998-07-01</date><risdate>1998</risdate><volume>150</volume><issue>1</issue><spage>83</spage><epage>91</epage><pages>83-91</pages><issn>0033-7587</issn><eissn>1938-5404</eissn><coden>RAREAE</coden><abstract>One of the fundamental tools in radiation biology is a formalism describing time-dose relationships. For example, there is a need for reliable predictions of radiotherapeutic isoeffect doses when the temporal exposure pattern is changed. The most commonly used tool is now the linear-quadratic (LQ) formalism, which describes fractionation and dose-protraction effects through a particular functional form, the generalized Lea-Catcheside time factor, G. We investigate the relationship of the LQ formalism to those describing other commonly discussed radiobiological models in terms of their predicted time-dose relationships. We show that a broad range of radiobiological models are described by formalisms in which a perturbation calculation produces the standard LQ relationship for dose fractionation/protraction, including the same generalized time factor, G. This approximate equivalence holds not only for the formalisms describing binary misrepair models, which are conceptually similar to LQ, but also for formalisms describing models embodying a very different explanation for time-dose effects, namely saturation of repair capacity. In terms of applications to radiotherapy, we show that a typical saturable repair formalism predicts practically the same dependences for protraction effects as does the LQ formalism, at clinically relevant doses per fraction. For low-dose-rate exposure, the same equivalence between predictions holds for early-responding end points such as tumor control, but less so for late-responding end points. Overall, use of the LQ formalism to predict dose-time relationships is a notably robust procedure, depending less than previously thought on knowledge of detailed biophysical mechanisms, since various conceptually different biophysical models lead, in a reasonable approximation, to the LQ relationship including the standard form of the generalized time factor, G.</abstract><cop>Oak Brook, Il</cop><pub>Radiation Research Society</pub><pmid>9650605</pmid><doi>10.2307/3579648</doi><tpages>9</tpages></addata></record> |
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subjects | Approximation Biological and medical sciences Biological effects of radiation Brachytherapy Brachytherapy - methods Dose fractionation Dose-Response Relationship, Radiation Fractionation Fundamental and applied biological sciences. Psychology Ionizing radiations Irradiation Lesions Linear Models Mathematical Computing Modeling Models, Biological Predictive Value of Tests Radiation dosage Radiobiology Radiobiology - methods Radiotherapy Radiotherapy Planning, Computer-Assisted - methods Time Factors Tissues, organs and organisms biophysics |
title | The Linear-Quadratic Model and Most Other Common Radiobiological Models Result in Similar Predictions of Time-Dose Relationships |
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