Literature DB >> 16981791

Dynamic IMRT treatments of sinus region tumors: comparison of Monte Carlo calculations with treatment planning system calculations and ion chamber measurements.

Laurence E Court1, Lennart Jahnke, David Chin, Jun Song, Robert Cormack, Piotr Zygmanski, Roy B Tishler, Lee Chin.   

Abstract

Results are presented comparing Monte Carlo (MC) calculations for dynamic IMRT treatments of tumors in the sinus region with Eclipse treatment planning system dose calculations, and ion chamber measurements. The EGS4nrc MC code, BEAMnrc, was commissioned to simulate a Varian 21Ex Linac for both open and IMRT fields. The accuracy of the simulation for IMRT plans was evaluated using a head phantom by comparing MC, Eclipse, TLD results, and ion chamber in solid water phantom measurements. The MC code was then used to simulate dose distributions for five patients who were treated using dynamic IMRT for tumors in the sinus region. The results were compared with absolute and relative dose distributions calculated using Eclipse (pencil beam, modified-Batho inhomogeneity correction). Absolute dose differences were also compared with ion chamber results. Comparison of the doses calculated on the head phantom using MC, compared with Eclipse, ion chamber, and TLD measurements showed differences of -3.9%, -1.4%, and -2.0%, respectively (MC is colder). Relative dose distributions for the patient plans calculated using MC agreed well with those calculated using Eclipse with respect to targets and critical organs, indicating the modified-Batho correction is adequate. Average agreement for mean absolute target doses between MC and Eclipse was -3.0 +/-; 2.3% (1 s.d.). Agreement between ion chamber and Eclipse for these patients was -2.2 +/- 1.9%, compared with 0.2 +/- 2.0% for all head and neck IMRT patients. When Eclipse doses were corrected based on ion chamber results, agreement between MC and Eclipse was -0.7 +/- 2.0%, indicating a small systematic uncertainty in the doses calculated using the treatment planning system for this subset of patients.

Entities:  

Mesh:

Year:  2006        PMID: 16981791     DOI: 10.1177/153303460600500505

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  3 in total

1.  Review of fast monte carlo codes for dose calculation in radiation therapy treatment planning.

Authors:  Keyvan Jabbari
Journal:  J Med Signals Sens       Date:  2011-01

2.  Performance Evaluation of Algorithms in Lung IMRT: A comparison of Monte Carlo, Pencil Beam, Superposition, Fast Superposition and Convolution Algorithms.

Authors:  T Verma; N K Painuly; S P Mishra; M Shajahan; N Singh; M L B Bhatt; N Jamal; M C Pant
Journal:  J Biomed Phys Eng       Date:  2016-09-01

3.  Effect of dental restorations and prostheses on radiotherapy dose distribution: a Monte Carlo study.

Authors:  David W H Chin; Nathaniel Treister; Bernard Friedland; Robert A Cormack; Roy B Tishler; G Mike Makrigiorgos; Laurence E Court
Journal:  J Appl Clin Med Phys       Date:  2009-02-03       Impact factor: 2.102

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.