Pareto front analysis of 6 and 15 MV dynamic IMRT for lung cancer using pencil beam, AAA and Monte Carlo

Physics in Medicine and Biology

Volumn 55, Issue 16, 2010, Pages 4521-4533

  Ottosson, R O ^a   Karlsson, A ^a   Behrens, C F ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; COMPUTER ASSISTED RADIOTHERAPY; EQUIPMENT DESIGN; HUMAN; IMAGE QUALITY; INTENSITY MODULATED RADIATION THERAPY; LUNG; LUNG NON SMALL CELL CANCER; LUNG TUMOR; METHODOLOGY; MONTE CARLO METHOD; PATHOLOGY; RADIOGRAPHY;

ALGORITHMS; CARCINOMA, NON-SMALL-CELL LUNG; EQUIPMENT DESIGN; HUMANS; LUNG; LUNG NEOPLASMS; MONTE CARLO METHOD; PHANTOMS, IMAGING; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; RADIOTHERAPY, INTENSITY-MODULATED;

EID: 78149354122     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/55/16/S07     Document Type: Article

References (27)

1. Aarup L R, Nahum A E, Zacharatou C, Juhler-Nøttrup T, Knöös T, Nyström H, Specht L, Wieslander E and Korreman S S 2009 The effect of different lung densities on the accuracy of various radiotherapy dose calculation methods: implications for tumour coverage Radiother. Oncol. 91 405-14
2. Behrens C F 2006 Dose build-up behind air cavities for Co-60, 4, 6 and 8 MV. Measurements and Monte Carlo simulations Phys. Med. Biol. 51 5937-50
3. Gay H A and Niemierko A 2007 A free program for calculating EUD-based NTCP and TCP in external beam radiotherapy Phys. Medica 23 115-25
4. Heath E and Seuntjens J 2003 Development and validation of a BEAMnrc component module for accurate Monte Carlo modelling of the Varian dynamic Millennium multileaf collimator Phys. Med. Biol. 48 4045-63
5. Jin L, Wang L, Li J, Luo W, Feigenberg S J and Ma C M 2007 Investigation of optimal beam margins for stereotactic radiotherapy of lung-cancer using Monte Carlo dose calculations Phys. Med. Biol. 52 3549-61
6. Kawrakow I 2000a Accurate condensed history Monte Carlo simulation of electron transport: I. EGSnrc, the new EGS4 version Med. Phys. 27 485-98 (Pubitemid 30171797)
7. Kawrakow I 2000b Accurate condensed history Monte Carlo simulation of electron transport: II. Application to ion chamber response simulations Med. Phys. 27 499-513 (Pubitemid 30171798)
8. Klein E E, Chin L M, Rice R K and Mijnheer B J 1993 The influence of air cavities on interface doses for photon beans Int. J. Radiat. Oncol. Biol. Phys. 27 419-27
9. Krieger T and Sauer O A 2005 Monte Carlo-versus pencil-beam-/collapsed- cone-dose calculation in a heterogeneous multi-layer phantom Phys. Med. Biol. 50 859-68
10. Liu H H, Mackie T R and McCullough E C 2000 Modeling photon output caused by backscattered radiation into the monitor chamber from collimator jaws using a Monte Carlo technique Med. Phys. 27 737-44
11. Ma C M, Li J S, Pawlicki T, Jiang S B, Deng J, Lee M C, Koumrian T, Luxton M and Brain S 2002 A Monte Carlo dose calculation tool for radiotherapy treatment planning Phys. Med. Biol. 47 1671-89
12. Madani I, Vanderstraeten B, Bral S, Coghe M, Gersem W D, Wagter C D, Thierens H and Neve W D 2007 Comparison of 6 MV and 18 MV photons for IMRT treatment of lung cancer Radiother. Oncol. 82 63-9
13. McDermott P N, He T and De Young A 2003 Dose calculation accuracy of lung planning with a commercial IMRT treatment planning system J. Appl. Clin. Med. Phys. 4 341-51
14. Mihaylov I B and Siebers J V 2008 Evaluation of dose prediction errors and optimization convergence errors of deliverable-based head-and-neck IMRT plans computed with a superposition/convolution dose algorithm Med. Phys. 35 3722-7
15. Ottosson R O, Engström P E, Sjöström D, Behrens C F, Karlsson A, Knöös T and Ceberg C 2009 The feasibility of using Pareto fronts for comparison oftreatment planning systems and delivery techniques Acta Oncol. 48 233-7
16. Pena J et al 2004 Commissioning of a medical accelerator photon beam Monte Carlo simulation using wide field profiles Phys. Med. Biol. 49 4929-42
17. Rogers D W O, Walters B and Kawrakow I 2005 BEAMnrc User's Manual pp 1-236 http://www.irs.inms.nrc.ca/BEAM/user manuals/pirs0509/index.html
18. Sempau J, Sánchez-Reyes A, Salvat F, Tahar H O B, Jiang S B and Fernández-Varea J M 2001 Monte Carlo simulation of electron beams from an accelerator head using PENELOPE Phys. Med. Biol. 46 1163-86
19. Siebers J V, Keall P J, Kim J O and Mohan R 2002 A method for photon beam Monte Carlo multileaf collimator particle transport Phys. Med. Biol. 47 3225-49
20. Siebers J V, Keall P J, Nahum A E and Mohan R 2000 Converting absorbed dose to medium to absorbed dose to water for Monte Carlo based photon beam dose calculations Phys. Med. Biol. 45 983-95
21. Spezi E, Lewis D G and Smith C W 2002 A DICOM-RT-based toolbox for the evaluation and verification of radiotherapy plans Phys. Med. Biol. 47 4223-32
22. Steneker M, Lomax A and Schneider U 2006 Intensity modulated photon and proton therapy for the treatment of head and neck tumors Radiother. Oncol. 80 263-7
23. Tsiakalos M F, Stathakis S, Plataniotis G A, Kappas C and Theodorou K 2006 Monte Carlo dosimetric evaluation of high energy vs low energy photon beams in low density tissues Radiother. Oncol. 79 131-8
24. Vanderstraeten B, Reynaert N, Paelinck L, Madani I, Wagter C D, Gersem W D, Neve W D and Thierens H 2006 Accuracy of patient dose calculation for lung IMRT: a comparison of Monte Carlo, convolution/superposition, and pencil beam computations Med. Phys. 33 3149-58
25. Varian Medical Systems 2007 Eclipse Algorithms Reference Guide (P/N B500298R01C). (Palo Alto, CA: V M Systems)
26. Walters B R B, Kawrakow I and Rogers D W O 2002 History by history statistical estimators in the BEAM code system Med. Phys. 29 2745-52
27. Weiss E, Siebers J V and Keall P J 2007 An analysis of 6-MV versus 18-MV photon energy plans for intensitymodulated radiation therapy (IMRT) of lung cancer Radiother. Oncol. 82 55-62