Effect of statistical uncertainties on Monte Carlo treatment planning

C. M. Ma, J. S. Li, S. B. Jiang, T. Pawlicki, W. Xiong, L. H. Qin, J. Yang

Research output: Contribution to journalArticle

25 Scopus citations

Abstract

This paper reviews the effect of statistical uncertainties on radiotherapy treatment planning using Monte Carlo simulations. We discuss issues related to the statistical analysis of Monte Carlo dose calculations for realistic clinical beams using various variance reduction or time saving techniques. We discuss the effect of statistical uncertainties on dose prescription and monitor unit calculation for conventional treatment and intensity-modulated radiotherapy (IMRT) based on Monte Carlo simulations. We show the effect of statistical uncertainties on beamlet dose calculation and plan optimization for IMRT and other advanced treatment techniques such as modulated electron radiotherapy (MERT). We provide practical guidelines for the clinical implementation of Monte Carlo treatment planning and show realistic examples of Monte Carlo based IMRT and MERT plans.

Original languageEnglish (US)
Pages (from-to)891-907
Number of pages17
JournalPhysics in medicine and biology
Volume50
Issue number5
DOIs
StatePublished - Mar 7 2005

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

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