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1 - Introduction

Published online by Cambridge University Press:  05 October 2023

Archis Ghate
Affiliation:
University of Washington
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Summary

This chapter is written for a scientifically literate reader without assuming any specific background in medicine, physics, or mathematics. The chapter emphasizes that while radiation kills tumor, it also damages healthy tissue nearby. Thus, the fundamental challenge is to maximize tumor-kill while maintaining toxic effects on healthy tissue within tolerable limits. Three approaches to manage this tradeoff are described: spatial localization of radiation dose; temporal dispersion of radiation dose; and selection of an appropriate radiation modality. The optimal fractionation problem is then introduced within the context of these three approaches. The monograph relies upon the linear quadratic (LQ) framework of radiation dose response to build and solve mathematical formulations of the optimal fractionation problem. This LQ framework is recalled briefly. This chapter provides motivation for all subsequent material in the monograph. An outline of the remainder of the monograph is included at the end.

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Publisher: Cambridge University Press
Print publication year: 2023

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  • Introduction
  • Archis Ghate, University of Washington
  • Book: Optimal Fractionation in Radiotherapy
  • Online publication: 05 October 2023
  • Chapter DOI: https://doi.org/10.1017/9781009341110.002
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  • Introduction
  • Archis Ghate, University of Washington
  • Book: Optimal Fractionation in Radiotherapy
  • Online publication: 05 October 2023
  • Chapter DOI: https://doi.org/10.1017/9781009341110.002
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Introduction
  • Archis Ghate, University of Washington
  • Book: Optimal Fractionation in Radiotherapy
  • Online publication: 05 October 2023
  • Chapter DOI: https://doi.org/10.1017/9781009341110.002
Available formats
×