Biomedical Science and Engineering
ISSN (Print): 2373-1257 ISSN (Online): 2373-1265 Website: http://www.sciepub.com/journal/bse Editor-in-chief: Apply for this position
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Biomedical Science and Engineering. 2014, 2(2), 40-41
DOI: 10.12691/bse-2-2-2
Open AccessCommentary

Monte Carlo Based Algorithms Are More Accurate for Dose Calculations in Radiotherapy

Jung-ho Park1, and Chunho Kung1

1Suncheon, Jeollanam-do, South Korea

Pub. Date: April 23, 2014

Cite this paper:
Jung-ho Park and Chunho Kung. Monte Carlo Based Algorithms Are More Accurate for Dose Calculations in Radiotherapy. Biomedical Science and Engineering. 2014; 2(2):40-41. doi: 10.12691/bse-2-2-2

Abstract

Monte Carlo (MC) is considered as gold standard for dose calculations in radiotherapy. MC dose calculations often require sophisticated computing services with long processing time and this has been an issue for the busy cancer centers. Hence, majority of the treatment planning system include faster dose calculation engines for the daily clinical routine. Due to advancement in technology and computing power, it is now possible to implement MC based dose calculation algorithms in the clinical environment. This report summarizes the major findings of various researchers who have investigated Acuros XB algorithm, which is the MC based dose calculation algorithm commercially available for dose calculations in radiotherapy.

Keywords:
dose calculation monte carlo

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References:

[1]  Lu L. Dose calculation algorithms in external beam photon radiation therapy. Int J Cancer Ther Oncol 2013; 1 (2): 01025.
 
[2]  Bush K, Gagne IM, Zavgorodni S, Ansbacher W, Beckham W. Dosimetric validation of Acuros XB with Monte Carlo methods for photon dose calculations. Med Phys 2011; 38: 2208-2221.
 
[3]  Han T, Followill D, Mikell J, Repchak R, Molineu A, Howell R, Salehpour M, Mourtada F. Dosimetric impact of Acuros XB deterministic radiation transport algorithm for heterogeneous dose calculation in lung cancer. Med Phys. 2013; 40 (5): 051710.
 
[4]  Kan MW, Leung LH, So RW, Yu PK. Experimental verification of the Acuros XB and AAA dose calculation adjacent to heterogeneous media for IMRT and RapidArc of nasopharygeal carcinoma. Med Phys. 2013 Mar; 40 (3): 031714.
 
[5]  Stathakis S, Esquivel C, Quino L, Myers P, Calvo O, Mavroidis P, Gutiérrez A and Papanikolaou P. Accuracy of the Small Field Dosimetry Using the Acuros XB Dose Calculation Algorithm within and beyond Heterogeneous Media for 6 MV Photon Beams. Int Jour of Med Phys Clin Eng Radiat Onc 2012; 1 (3): 78-87.
 
[6]  Rana S, Rogers K, Pokharel S, Cheng C. Evaluation of Acuros XB algorithm based on RTOG 0813 dosimetric criteria for SBRT lung treatment with RapidArc. J Appl Clin Med Phys 2014; 15:4474.
 
[7]  Ojala JJ, Kapanen MK, Hyödynmaa SJ, Wigren TK, Pitkänen MA. Performance of dose calculation algorithms from three generations in lung SBRT: comparison with full Monte Carlo-based dose distributions. J Appl Clin Med Phys. 2014; 15 (2): 4662.
 
[8]  Kroon PS, Hol S, Essers M. Dosimetric accuracy and clinical quality of Acuros XB and AAA dose calculation algorithm for stereotactic and conventional lung volumetric modulated arc therapy plans. Radiat Oncol. 2013; 8 (1): 149.
 
[9]  Kathirvel M, Subramanian S, Clivio A, et al. Critical appraisal of the accuracy of Acuros-XB and Anisotropic Analytical Algorithm compared to measurement and calculations with the compass system in the delivery of Rapid Arc clinical plans. Radiat Oncol 2013; 8: 140.
 
[10]  Liu HW, Nugent Z, Clayton R, Dunscombe P, Lau H, Khan R. Clinical impact of using the deterministic patient dose calculation algorithm Acuros XB for lung stereotactic body radiation therapy. Acta Oncol. 2013 Aug 19. [Epub ahead of print]
 
[11]  Fogliata A, Nicolini G, Clivio A, Vanetti E, Cozzi L. Critical appraisal of Acuros XB and Anisotropic Analytic Algorithm dose calculation in advanced non-small-cell lung cancer treatments. Int J Radiat Oncol Biol Phys. 2012; 83 (5): 1587-95.
 
[12]  Rana S. Clinical dosimetric impact of Acuros XB and analytical anisotropic algorithm (AAA) on real lung cancer treatment plans: review. Int J Cancer Ther Oncol 2014; 2 (1): 02019.
 
[13]  Chetty IJ, Curran B, Cygler JE, et al. Report of the AAPM Task Group 105: Issues associated with clinical implementation of Monte Carlo-based photon and electron external beam treatment planning. Med Phys. 2007; 34 (12): 4818-53.
 
[14]  Mavroidis P. Clinical implementation of radiobiological measures in treatment planning. Why has it taken so long? Int J Cancer Ther Oncol 2013; 1: 01019.
 
[15]  Oyewale S. Dose prediction accuracy of collapsed cone convolution superposition algorithm in a multi-layer inhomogenous phantom. Int J Cancer Ther Oncol 2013; 1 (1): 01016.
 
[16]  Chaikh A, Giraud J, Balosso J. A method to quantify and assess the dosimetric and clinical impact resulting from the heterogeneity correction in radiotherapy for lung cancer. Int J Cancer Ther Oncol 2014; 2 (1): 020110.
 
[17]  Pokharel S. Dosimetric impact of mixed-energy volumetric modulated arc therapy plans for high-risk prostate cancer. Int J Cancer Ther Oncol 2013; 1 (1): 01011.
 
[18]  Hawke S, Torrance A, Tremethick L. Evaluation of planned dosimetry when beam energies are substituted for a fraction of the treatment course. Int J Cancer Ther Oncol 2013; 1 (2): 01024.