Literature DB >> 18404945

A computational implementation and comparison of several intensity modulated proton therapy treatment planning algorithms.

Haisen S Li1, H Edwin Romeijn, Christopher Fox, Jatinder R Palta, James F Dempsey.   

Abstract

The authors present a comparative study of intensity modulated proton therapy (IMPT) treatment planning employing algorithms of three-dimensional (3D) modulation, and 2.5-dimensional (2.5D) modulation, and intensity modulated distal edge tracking (DET) [A. Lomax, Phys. Med. Biol. 44, 185-205 (1999)] applied to the treatment of head-and-neck cancer radiotherapy. These three approaches were also compared with 6 MV photon intensity modulated radiation therapy (IMRT). All algorithms were implemented in the University of Florida Optimized Radiation Therapy system using a finite sized pencil beam dose model and a convex fluence map optimization model. The 3D IMPT and the DET algorithms showed considerable advantages over the photon IMRT in terms of dose conformity and sparing of organs at risk when the beam number was not constrained. The 2.5D algorithm did not show an advantage over the photon IMRT except in the dose reduction to the distant healthy tissues, which is inherent in proton beam delivery. The influences of proton beam number and pencil beam size on the IMPT plan quality were also studied. Out of 24 cases studied, three cases could be adequately planned with one beam and 12 cases could be adequately planned with two beams, but the dose uniformity was often marginally acceptable. Adding one or two more beams in each case dramatically improved the dose uniformity. The finite pencil beam size had more influence on the plan quality of the 2.5D and DET algorithms than that of the 3D IMPT. To obtain a satisfactory plan quality, a 0.5 cm pencil beam size was required for the 3D IMPT and a 0.3 cm size was required for the 2.5D and the DET algorithms. Delivery of the IMPT plans produced in this study would require a proton beam spot scanning technique that has yet to be developed clinically.

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Year:  2008        PMID: 18404945     DOI: 10.1118/1.2836954

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  5 in total

1.  Clinical characterization of a proton beam continuous uniform scanning system with dose layer stacking.

Authors:  J B Farr; A E Mascia; W C Hsi; C E Allgower; F Jesseph; A N Schreuder; M Wolanski; D F Nichiporov; V Anferov
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

2.  A new approach to integrate GPU-based Monte Carlo simulation into inverse treatment plan optimization for proton therapy.

Authors:  Yongbao Li; Zhen Tian; Ting Song; Zhaoxia Wu; Yaqiang Liu; Steve Jiang; Xun Jia
Journal:  Phys Med Biol       Date:  2016-12-17       Impact factor: 3.609

Review 3.  The physics of proton therapy.

Authors:  Wayne D Newhauser; Rui Zhang
Journal:  Phys Med Biol       Date:  2015-03-24       Impact factor: 3.609

4.  Application programming in C# environment with recorded user software interactions and its application in autopilot of VMAT/IMRT treatment planning.

Authors:  Henry Wang; Lei Xing
Journal:  J Appl Clin Med Phys       Date:  2016-11-08       Impact factor: 2.102

5.  A fast Monte Carlo code for proton transport in radiation therapy based on MCNPX.

Authors:  Keyvan Jabbari; Jan Seuntjens
Journal:  J Med Phys       Date:  2014-07
  5 in total

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