Literature DB >> 15798263

Effect of statistical uncertainties on Monte Carlo treatment planning.

C-M Ma1, J S Li, S B Jiang, T Pawlicki, W Xiong, L H Qin, J Yang.   

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.

Mesh：

Year:  2005        PMID： 15798263     DOI： 10.1088/0031-9155/50/5/013

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN： 0031-9155            Impact factor:   3.609


  6 in total

1.  The effect of statistical noise on IMRT plan quality and convergence for MC-based and MC-correction-based optimized treatment plans.

Authors:  Jeffrey V Siebers
Journal:  J Phys Conf Ser       Date:  2008-04-04

2.  Full Monte Carlo-Based Biologic Treatment Plan Optimization System for Intensity Modulated Carbon Ion Therapy on Graphics Processing Unit.

Authors:  Nan Qin; Chenyang Shen; Min-Yu Tsai; Marco Pinto; Zhen Tian; Georgios Dedes; Arnold Pompos; Steve B Jiang; Katia Parodi; Xun Jia
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-09-12       Impact factor: 7.038

3.  Dosimetric impact of statistical uncertainty on Monte Carlo dose calculation algorithm in volumetric modulated arc therapy using Monaco TPS for three different clinical cases.

Authors:  Mohandass Palanisamy; Khanna David; Manigandan Durai; Narendra Bhalla; Abhishek Puri
Journal:  Rep Pract Oncol Radiother       Date:  2019-02-18

4.  Evaluation of dose prediction error and optimization convergence error in four-dimensional inverse planning of robotic stereotactic lung radiotherapy.

Authors:  Mark K H Chan; Dora L W Kwong; Anthony Tong; Eric Tam; Sherry C Y Ng
Journal:  J Appl Clin Med Phys       Date:  2013-07-08       Impact factor: 2.102

5.  Validation of a Software Upgrade in a Monte Carlo Treatment Planning System by Comparison of Plans in Different Versions.

Authors:  P Mohandass; D Khanna; D Manigandan; Narendra Kumar Bhalla; Abhishek Puri
Journal:  J Med Phys       Date:  2018 Apr-Jun

6.  Recommended dose voxel size and statistical uncertainty parameters for precision of Monte Carlo dose calculation in stereotactic radiotherapy.

Authors:  Simon K Goodall; Martin A Ebert
Journal:  J Appl Clin Med Phys       Date:  2020-10-30       Impact factor: 2.102
  6 in total

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