Development of clinical application program for radiotherapy induced cancer risk calculation using Monte Carlo engine in volumetric-modulated arc therapy

Abstract Background The purpose of this study is to develop a clinical application program that automatically calculates the effect for secondary cancer risk (SCR) of individual patient. The program was designed based on accurate dose calculations using patient computed tomography (CT) data and Monte Carlo engine. Automated patient-specific evaluation program was configured to calculate SCR. Methods The application program is designed to re-calculate the beam sequence of treatment plan using the Monte Carlo engine and patient CT data, so it is possible to accurately calculate and evaluate scatter and leakage radiation, difficult to calculate in TPS. The Monte Carlo dose calculation system was performed through stoichiometric calibration using patient CT data. The automatic SCR evaluation program in application program created with a MATLAB was set to analyze the results to calculate SCR. The SCR for organ of patient was calculated based on Biological Effects of Ionizing Radiation (BEIR) VII models. The program is designed to sequentially calculate organ equivalent dose (OED), excess absolute risk (EAR), excess relative risk (ERR), and the lifetime attributable risk (LAR) in consideration of 3D dose distribution analysis. In order to confirm the usefulness of the developed clinical application program, the result values from clinical application program were compared with the manual calculation method used in the previous study. Results The OED values calculated in program were calculated to be at most approximately 13.3% higher than results in TPS. The SCR result calculated by the developed clinical application program showed a maximum difference of 1.24% compared to the result of the conventional manual calculation method. And it was confirmed that EAR, ERR and LAR values can be easily calculated by changing the biological parameters. Conclusions We have developed a patient-specific SCR evaluation program that can be used conveniently in the clinic. The program consists of a Monte Carlo dose calculation system for accurate calculation of scatter and leakage radiation and a patient-specific automatic SCR evaluation program using 3D dose distribution. The clinical application program that improved the disadvantages of the existing process can be used as an index for evaluating a patient treatment plan.

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An Integrated Framework Based on Full Monte Carlo Simulations for Double-Scattering Proton Therapy

International Journal of Particle Therapy ◽

10.14338/ijpt-19-00063.1 ◽

2019 ◽

Vol 6 (2) ◽

pp. 31-41

Author(s):

Jiankui Yuan ◽

David Mansur ◽

Min Yao ◽

Tithi Biswas ◽

Yiran Zheng ◽

...

Keyword(s):

Monte Carlo ◽

Proton Therapy ◽

Treatment Plan ◽

Planning System ◽

Treatment Planning System ◽

Patient Specific ◽

Double Scattering ◽

Integrated Framework ◽

End To End ◽

Clinical Cases

ABSTRACT Purpose: We developed an integrated framework that employs a full Monte Carlo (MC) model for treatment-plan simulations of a passive double-scattering proton system. Materials and Methods: We have previously validated a virtual machine source model for full MC proton-dose calculations by comparing the percentage of depth-dose curves, spread-out Bragg peaks, and lateral profiles against measured commissioning data. This study further expanded our previous work by developing an integrate framework that facilitates its clinical use. Specifically, we have (1) constructed patient-specific applicator and compensator numerically from the plan data and incorporated them into the beamline, (2) created the patient anatomy from the computed tomography image and established the transformation between patient and machine coordinate systems, and (3) developed a graphical user interface to ease the whole process from importing the treatment plan in the Digital Imaging and Communications in Medicine format to parallelization of the MC calculations. End-to-end tests were performed to validate the functionality, and 3 clinical cases were used to demonstrate clinical utility of the framework. Results: The end-to-end tests demonstrated that the framework functioned correctly for all tested functionality. Comparisons between the treatment planning system calculations and MC results in 3 clinical cases revealed large dose difference up to 17%, especially in the beam penumbra and near the end of beam range. The discrepancy likely originates from a variety of sources, such as the dose algorithms, modeling of the beamline, and the dose metric. The agreement for other regions was acceptable. Conclusion: An integrated framework was developed for full MC simulations of double-scattering proton therapy. It can be a valuable tool for dose verification and plan evaluation.

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Use of Receiver Operating Curve Analysis and Machine Learning With an Independent Dose Calculation System Reduces the Number of Physical Dose Measurements Required for Patient-Specific Quality Assurance

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2020.10.035 ◽

2020 ◽

Author(s):

K. Hasse ◽

J. Scholey ◽

B.P. Ziemer ◽

Y. Natsuaki ◽

O. Morin ◽

...

Keyword(s):

Machine Learning ◽

Quality Assurance ◽

Dose Calculation ◽

Curve Analysis ◽

Receiver Operating Curve ◽

Patient Specific ◽

Receiver Operating Curve Analysis ◽

Calculation System ◽

Dose Measurements ◽

Receiver Operating

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SU-E-T-673: Development of Monte Carlo Dose Calculation System for Tumor-Tracking Irradiation with a Gimbaled X-Ray Head

Medical Physics ◽

10.1118/1.3612635 ◽

2011 ◽

Vol 38 (6Part21) ◽

pp. 3644-3645 ◽

Cited By ~ 2

Author(s):

Y Ishihara ◽

A Sawada ◽

M Nakamura ◽

N Mukumoto ◽

S Kaneko ◽

...

Keyword(s):

Monte Carlo ◽

Dose Calculation ◽

X Ray ◽

Tumor Tracking ◽

Calculation System ◽

Monte Carlo Dose Calculation

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Development of Volumetric Independent Dose Calculation System for Verification of the Treatment Plan in Image-Guided Adaptive Brachytherapy

Frontiers in Oncology ◽

10.3389/fonc.2020.00609 ◽

2020 ◽

Vol 10 ◽

Author(s):

Sang-Won Kang ◽

Jin-Beom Chung ◽

Kyeong-Hyeon Kim ◽

Ji-Yeon Park ◽

Hae-Jin Park ◽

...

Keyword(s):

Treatment Plan ◽

Dose Calculation ◽

Image Guided ◽

Calculation System

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Development of a fast Monte Carlo dose calculation system for online adaptive radiation therapy quality assurance

Physics in Medicine and Biology ◽

10.1088/1361-6560/aa6e38 ◽

2017 ◽

Vol 62 (12) ◽

pp. 4970-4990 ◽

Cited By ~ 6

Author(s):

Yuhe Wang ◽

Thomas R Mazur ◽

Justin C Park ◽

Deshan Yang ◽

Sasa Mutic ◽

...

Keyword(s):

Monte Carlo ◽

Quality Assurance ◽

Radiation Therapy ◽

Adaptive Radiation ◽

Dose Calculation ◽

Adaptive Radiation Therapy ◽

Calculation System ◽

Therapy Quality ◽

Monte Carlo Dose Calculation ◽

Radiation Therapy Quality Assurance

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Patient-Specific Quality Assurance Using Monte Carlo Dose Calculation and Elekta Log Files for Prostate Volumetric-Modulated Arc Therapy

Technology in Cancer Research & Treatment ◽

10.1177/1533034617745250 ◽

2017 ◽

Vol 16 (6) ◽

pp. 1220-1225 ◽

Cited By ~ 4

Author(s):

Yoshiyuki Katsuta ◽

Noriyuki Kadoya ◽

Yukio Fujita ◽

Eiji Shimizu ◽

Kenichi Matsunaga ◽

...

Keyword(s):

Monte Carlo ◽

Quality Assurance ◽

Volumetric Modulated Arc Therapy ◽

Dose Calculation ◽

Patient Specific ◽

Log Files ◽

Arc Therapy ◽

Monte Carlo Dose Calculation

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4089 Clinical Implementation of Monte Carlo Dose Calculation for Patient-Specific Radiotherapy Quality Assurance

Journal of Clinical and Translational Science ◽

10.1017/cts.2020.327 ◽

2020 ◽

Vol 4 (s1) ◽

pp. 106-106

Author(s):

Holly Marie Parenica ◽

Christopher Kabat ◽

Pamela Myers ◽

Neil Kirby ◽

Pavlos Papaconstadopoulos ◽

...

Keyword(s):

Monte Carlo ◽

Quality Assurance ◽

Monte Carlo Model ◽

Dose Calculation ◽

Patient Specific ◽

Dose Calculations ◽

Linear Accelerators ◽

Log Files ◽

Dosimetric Data ◽

Monte Carlo Dose Calculation

OBJECTIVES/GOALS: The Monte Carlo dose calculation method is often considered the “gold standard” for patient dose calculations and can be as radiation dose measurements. Our study aims to develop a true Monte Carlo model that can be implemented in our clinic as part of our routine patient-specific quality assurance. METHODS/STUDY POPULATION: We have configured and validated a model of one of our linear accelerators used for radiation therapy treatments using the EGSnrc Monte Carlo simulation software. Measured dosimetric data was obtained from the linear accelerator and was used as the standard to compare the doses calculated with our model in EGSnrc. We will compare dose calculations between commercial treatment planning systems, the EGSnrc Monte Carlo model, and patient-specific measurements. We will implement the Monte Carlo model in our clinic for routine second-checks of patient plans, and to recalculate plans delivered to patients using machine log files. RESULTS/ANTICIPATED RESULTS: Our Monte Carlo model is within 1% agreement with our measured dosimetric data, and is an accurate representation of our linear accelerators used for patient treatments. With this high level of accuracy, we have begun simulating more complex patient treatment geometries, and expect the level of accuracy to be within 1% of measured data. We believe the Monte Carlo calculation based on machine log files will correlate with patient-specific QA analysis and results. The Monte Carlo model will be a useful tool in improving our patient-specific quality assurance protocol and can be utilized in further research. DISCUSSION/SIGNIFICANCE OF IMPACT: This work can be implemented directly in clinical practice to ensure patient doses are calculated as accurately as possible. These methods can be used by clinics who do not have access to more advanced dose calculation software, ensuring accuracy for all patients undergoing radiotherapy treatments.

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