Validation of a Monte Carlo dose calculation tool for radiotherapy treatment planning

Li, J. S.; Pawlicki, Todd; Deng, Jun; Jiang, Steve B; Mok, E; M., C.

doi:10.1088/0031-9155/45/10/316

Cited by 102 publications

(63 citation statements)

References 31 publications

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“…An ideal dose calculation algorithm can perfectly reflect the actual dose distribution within a real patient, which in turn reduces the uncertainty during the evaluation of treatment plans. At present, the Monte-Carlo (MC) * E-mail: skkim@med.yu.ac.kr simulation is the most sophisticated and accurate algorithm [1][2][3]. As the dose distribution tends to be complicated in heterogeneous media, the dose calculation results show differences according to the algorithms.…”

Section: Introductionmentioning

confidence: 99%

Comparison of pencil-beam, collapsed-cone and Monte-Carlo algorithms in radiotherapy treatment planning for 6-MV photons

Kim

2015

Journal of the Korean Physical Society

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Treatment planning system calculations in inhomogeneous regions may present significant inaccuracies due to loss of electronic equilibrium. In this study, three different dose calculation algorithms, pencil beam (PB), collapsed cone (CC), and Monte-Carlo (MC), provided by our planning system were compared to assess their impact on the three-dimensional planning of lung and breast cases.A total of five breast and five lung cases were calculated by using the PB, CC, and MC algorithms. Planning treatment volume (PTV) and organs at risk (OARs) delineations were performed according to our institution's protocols on the Oncentra MasterPlan image registration module, on 0.3 − 0.5 cm computed tomography (CT) slices taken under normal respiration conditions. Intensitymodulated radiation therapy (IMRT) plans were calculated for the three algorithm for each patient. The plans were conducted on the Oncentra MasterPlan (PB and CC) and CMS Monaco (MC) treatment planning systems for 6 MV. The plans were compared in terms of the dose distribution in target, the OAR volumes, and the monitor units (MUs). Furthermore, absolute dosimetry was measured using a three-dimensional diode array detector (ArcCHECK) to evaluate the dose differences in a homogeneous phantom.Comparing the dose distributions planned by using the PB, CC, and MC algorithms, the PB algorithm provided adequate coverage of the PTV. The MUs calculated using the PB algorithm were less than those calculated by using. The MC algorithm showed the highest accuracy in terms of the absolute dosimetry.Differences were found when comparing the calculation algorithms. The PB algorithm estimated higher doses for the target than the CC and the MC algorithms. The PB algorithm actually overestimated the dose compared with those calculated by using the CC and the MC algorithms. The MC algorithm showed better accuracy than the other algorithms.

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Section: Introductionmentioning

confidence: 99%

Comparison of pencil-beam, collapsed-cone and Monte-Carlo algorithms in radiotherapy treatment planning for 6-MV photons

Kim

2015

Journal of the Korean Physical Society

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“…Excellent agreement was achieved between the MCDOSE results and measurements 12 and the well benchmarked EGS4/BEAM/DOSXYZ code 13 . Our Monte…”

Section: The Monte Carlo Dose Calculation Code Systemmentioning

confidence: 53%

Integrating Organ Motion and Setup Uncertainty into Optimization of Modulated Electron Beam Treatment of Breast Cancer

Pawlicki¹

2003

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188), Washington, DC 20503 AGENCY USE ONLY (Leave blank)2. REPORT DATE August 2002 REPORT TYPE AND DATES COVEREDAnnual Summary (1 Auq 00 -31 Jul 01) TITLE AND SUBTITLE Integrating Organ Motion and Setup Uncertainty into Optimization of Modulated Electron Beam Treatment of Breast Cancer6. AUTHOR(S) Todd A. Pawlicki, Ph.D. FUNDING NUMBERSDAMD17-00-1-0444 PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)Stanford University Stanford, California 94305-5401 E-Mail: tpaw@reyes.stanford.edu PERFORMING ORGANIZATION REPORT NUMBER SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) U.S. Army Medical Research and Materiel CommandFort Detrick, Maryland 21702-5012 SUPPLEMENTARY NOTESReport contains color. This project is to develop, implement, and evaluate models of organ motion and setup uncertainty for dose calculation of radiotherapy treatment of the breast. These models are applied to accurate dose calculation for breast treatment using energyand intensity-modulated electron radiotherapy (MERT). The premise is that MERT treatments will deliver a more conformal dose to the breast while minimizing the dose to normal tissues over conventional photon techniques. We have completed the following tasks: (1) developed theoretical models of organ motion and setup uncertainty based on published data, and (2) implemented those models into a Monte Carlo dose calculation code. We have developed a model of organ motion that correlates the dose in a static computed tomography scan to the actual case of patient breathing. A Gaussian model has been developed to account for setup uncertainty due to the random nature of setup uncertainty in radiotherapy, which has been demonstrated in published literature. These models have been implemented in a Monte Carlo code for radiotherapy dose calculations based on patient specific computed tomography scans. The successful completion of our goals now permits further study (specific aims 3 and 4) on the effect of these effects on MERT radiotherapy breast treatment. References 13 SUBJECT TERMSAppendices 15 IntroductionEnergy-and intensity-modulated radiotherapy (MERT) is the optimization of many small beamlets of different energies and intensities to produce a highly conformal dose distribution. Each individual beamlet's dose distribution must be calculated in a computed tomography based representation of the patient. The relative weight of e...

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“…Analysis for such a large set of field sizes and wedges with those stringent criteria have been seldomly performed. Li et al [13] simulated beam modifiers validating their results against MC calculations, while Spezi et al [22], Hartmann et al [23] and Keall et al [24] compared the simulation with the corresponding measurements, but in all cases the analysis was restricted to calculations only or to a few field-wedge configurations.…”

Section: Discussionmentioning

confidence: 99%

“…Two possible ways of benchmarking a MC dose engine exist: comparison with in-phantom measurements and comparison with an independent accurate MC dose engine (e.g. [10,11,12,13]). …”

Section: Introductionmentioning

confidence: 99%

Validation of the Swiss Monte Carlo Plan for a static and dynamic 6 MV photon beam

Magaddino

Manser

Frei

et al. 2011

Zeitschrift für Medizinische Physik

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Validation of a Monte Carlo dose calculation tool for radiotherapy treatment planning

Cited by 102 publications

References 31 publications

Comparison of pencil-beam, collapsed-cone and Monte-Carlo algorithms in radiotherapy treatment planning for 6-MV photons

Comparison of pencil-beam, collapsed-cone and Monte-Carlo algorithms in radiotherapy treatment planning for 6-MV photons

Integrating Organ Motion and Setup Uncertainty into Optimization of Modulated Electron Beam Treatment of Breast Cancer

Validation of the Swiss Monte Carlo Plan for a static and dynamic 6 MV photon beam

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