The ESTRO Breur Lecture 2009. From population to voxel-based radiotherapy: Exploiting intra-tumour and intra-organ heterogeneity for advanced treatment of non-small cell lung cancer

Philippe Lambin*, Steven F. Petit, Hugo J. W. L. Aerts, Wouter J. C. van Elmpt, Cary J. G. Oberije, Maud H. W. Starmans, Ruud G. P. M. van Stiphout, Guus A. M. S. van Dongen, Kristoff Muylle, Patrick Flamen, Andre L. A. J. Dekker, Dirk De Ruysscher

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Evidence is accumulating that radiotherapy of non-small cell lung cancer patients can be optimized by escalating the tumour dose until the normal tissue tolerances are met To further improve the therapeutic ratio between tumour control probability and the risk of normal tissue complications, we firstly need to exploit Inter patient variation This variation arises, e g. from differences in tumour shape and size, lung function and genetic factors Secondly improvement is achieved by taking into account intra-tumour and intra-organ heterogeneity derived from molecular and functional imaging Additional radiation dose must be delivered to those parts of the tumour that need It the most, e g because of increased radio-resistance or reduced therapeutic drug uptake, and away from regions inside the lung that are most prone to complication As the delivery of these treatments plans is very sensitive for geometrical uncertainties, probabilistic treatment planning is needed to generate robust treatment plans The administration of these complicated dose distributions requires a quality assurance procedure that can evaluate the treatment delivery and, if necessary, adapt the treatment plan during radiotherapy
Original languageEnglish
Pages (from-to)145-152
Number of pages8
JournalRadiotherapy and Oncology
Volume96
Issue number2
DOIs
Publication statusPublished - Aug 2010

Keywords

  • Heterogeneity
  • Non-small cell lung cancer (NSCLC)
  • Fluorodeoxyglucose (FDG)
  • Dose-painting
  • Dose redistribution
  • Biological dose optimization

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