Characterization of computer simulated radiotherapy beams for Monte-Carlo treatment planning

Ma, C

doi:10.1016/s0969-806x(98)00113-3

Cited by 65 publications

(76 citation statements)

References 20 publications

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“…It is also well benchmarked. Comparisons of the DOSXYZ results with measurements have been reported previously , Ma 1998, Zhang et al 1999, Ma et al 1999a. Unfortunately, these codes are too slow to be acceptable for routine dose calculation in treatment planning systems with existing hardware.…”

Section: Introductionmentioning

confidence: 82%

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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Section: Introductionmentioning

confidence: 82%

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

Pawlicki¹

2003

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“…The beam model is a simplified implementation of a previously developed multiple source model which can compress the Monte Carlo phase space data by a factor of 1000 or more. 35 " 37 When commissioning another accelerator of the same type, the energy spectra in the beam model are tuned to match standard measured data such as depth doses and dose profiles. Using this approach, we do not have to simulate every accelerator individually.…”

Section: -29mentioning

confidence: 99%

“…A beam model for a type of accelerator is established using the Monte Carlo simulated phase space information for the reference beam. The beam data are modeled using the multiple source model developed by Ma era/., [35][36][37] which is modified in the current work for use in the commissioning procedure. The major modifications of the model are discussed here.…”

Section: A Beam Modeling 1 General Considerationsmentioning

confidence: 99%

A Multileaf Collimator for Modulated Electron Radiation Therapy for Breast Cancer

Song¹,

Jiang²

2002

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“…In particular, Monte Carlo simulation can handle backscatter from high-density materials such as bone, or scatter perturbations by air cavities more accurately than any other existing dose calculation model , Andreo 1991, Mohan 1997a. The major shortcoming of the Monte Carlo method, namely being computationally intensive, has become much less severe due to the rapid increase in speed and decrease in cost of computers, and the employment of innovative variance reduction techniques (Ma andNahum 1993, Holmes et al 1993). Monte Carlo simulation is fast becoming the next generation 0031-9155/99/010001+33$19.50 © 1999 lOP Publishing Ltd RI…”

Section: Introductionmentioning

confidence: 99%

“…However, direct simulation of the accelerator treatment head using the Monte [35,36,37], which is modified in the current work for use in the commissioning procedure. The major modifications of the model are discussed here.…”

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confidence: 99%

Air Power in MOOTW: A Critical Analysis of Using No-Fly Zones to Support National Objectives

McKelvey¹

1997

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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 Senvices, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and AUTHOR(S)Chang Ming Ma, Ph.D. Approved for public release distribution unlimited PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)8 ABSTRACT (Maximum 200 Words)This project is aimed at exploring energy-and intensity-modulated radiotherapy (EIMRT) to deliver dose distributions that closely match the target volume and minimize the dose to critical normal structures. The scope includes (1) to characterize electron beams from Helium-filled accelerators for EIMRT, (2) to develop optimization algorithms for EIMRT using these electron beams, (3) to verify these optimized dose distributions using the Monte Carlo simulation technique, and (4) to compare the optimized dose plans obtained by EIMRT with conventional treatment plans and those obtained by photon intensitymodulated radiotherapy (IMRT).During the first year research, we have performed accurate Monte Carlo simulations of the electron beams in He-filled accelerators. Our results demonstrated that electron beams could be modulated to deliver superior dose distributions for EIMRT. We have implemented practical source models for clinical application and beam commissioning. Different dose algorithms have been compared for "Inverse treatment planning" beamlet calculations. The results confirmed that the Monte Carlo method is needed to generate the dose distributions for EIMRT. Further studies will be performed to verify the dose plans for realistic patients. The outcome will determine whether EIMRT offers a significant advantage over conventional photon/electron treatment and over photon IMRT.14. SUBJECT TERMS IntroductionRadiation therapy has been used for the treatment of all stages of localized breast cancer. Breast conservation with lumpectomy followed by radiation (BCT) has proven to be effective for early stage (TI -T2) patients. This project is aimed at exploring energy-and intensity-modulated electron beams to deliver optimized conformal radiotherapy dose distributions that closely match the target volume and minimize the dose to critical normal structures. The specific aims are (1) to characterize electron beams from Helium-filled accelerators, (2) to develop optimization algorithms for energy-and intensity-modulated radiotherapy (EIMRT) using these electron beams, (3) to verify these optimized dose distributions using the Monte Carlo simulation technique, and (4) to compare the optimized dose plans obtained by EIMRT with conventional treatment plans and those obtained by...

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Characterization of computer simulated radiotherapy beams for Monte-Carlo treatment planning

Cited by 65 publications

References 20 publications

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

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

A Multileaf Collimator for Modulated Electron Radiation Therapy for Breast Cancer

Air Power in MOOTW: A Critical Analysis of Using No-Fly Zones to Support National Objectives

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