• Journal of Yeungnam Medical Science
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• 제25권2호
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• pp.85-91
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• 2008

Intensity-modulated radiation therapy (IMRT) is believed to be one of the best radiation treatment techniques. IMRT is able to deliver fatal doses of radiation to the tumor region with minimal exposure of critical organs. It is essential to have a comprehensive quality assurance program to assure precision and accuracy in treatment, due to the character of IMRT. We applied quality assurance technique to the Eclipse treatment planning system and sought to determine its effectiveness in patient treatment planning. An acrylic phantom, film, and an ionization chamber were used in this study.

• 한국의학물리학회지:의학물리
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• 제33권3호
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• pp.25-35
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• 2022

Purpose: Planning for radiotherapy relies on implicit estimation of the probability of tumor control and the probability of complications in adjacent normal tissues for a given dose distribution. Methods: The aim of this pilot study was to reconstruct dose-volume histograms (DVHs) from text files generated by the Eclipse treatment planning system developed by Varian Medical Systems and to verify the integrity and accuracy of the dose statistics. Results: We further compared dose statistics for intensity-modulated radiotherapy of the head and neck between the Eclipse software and software developed in-house. The dose statistics data obtained from the Python software were consistent, with deviations from the Eclipse treatment planning system found to be within acceptable limits. Conclusions: The in-house software was able to provide indices of hotness and coldness for treatment planning and store statistical data generated by the software in Oracle databases. We believe the findings of this pilot study may lead to more accurate evaluations in planning for radiotherapy.

• 한국의학물리학회지:의학물리
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• 제20권1호
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• pp.14-20
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• 2009

본 연구에서는 복부 전용 팬톰을 이용하여 폐 종양을 모델로 실시간 종양 추적 치료 시 종양에 대한 선량 분포와 종양 부근에 인접하여 상대적으로 움직임이 작은 주요장기인 척추의 선량 분포를 3차원과 4차원 전산화 치료계획을 통하여 나타난 선량분포에 대하여 Gafchromic 필름을 이용하여 선량을 비교평가 하였다. 비교 결과 종양의 선량 분포는 감마 지표 3%, 1 mm를 기준으로 일치도가 3차원 및 4차원에서 각각 90.6%, 97.64%이었고, 척추에서는 감마 지표 3%, 2 mm를 기준으로 3차원 및 4차원에서 각각 57.13%, 90.4%로 나타났다. 종양 및 척추에서 4차원 전산화치료계획 계산값은 측정값과 비교할 경우 근소한 차이를 보였으나 3차원 전산화 치료계획 시 종양에 근접하여 움직임이 작은 척추에서는 계산값과 측정값의 차이가 크게 나타났다. 따라서 사이버나이프와 같은 장비를 이용하여 호흡에 따라 움직이는 종양을 대상으로 실시간 종양추적 치료 시 4차원 전산화 치료계획이 반드시 필요하다고 사료된다.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2006년도 제33회 추계학술대회 발표논문집
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• pp.140-140
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• 2006

• 한국의학물리학회지:의학물리
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• 제4권1호
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• pp.23-28
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• 1993

치료계획을 수행하는데 수반되는 isodose planning system 과 isodose calculation system, data set, equipment 등에 관한 치료계획의 성능관리에 대한 고찰을 시도하여 치료 오차의 한계를 최소화하여 치료행위의 정확성을 기하고자 한다.

• Journal of Radiation Protection and Research
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• 제43권2호
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• pp.59-65
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• 2018

Background: We analyzed changes in the doses, structure volumes, and dose-volume histograms (DVHs) when data were transferred from one commercial treatment planning system (TPS) to another commercial TPS. Materials and Methods: A total of 22 volumetric modulated arc therapy (VMAT) plans for nasopharyngeal cancer were generated with the Eclipse system using 6-MV photon beams. The computed tomography (CT) images, dose distributions, and structure information, including the planning target volume (PTV) and organs at risk (OARs), were transferred from the Eclipse to the MRIdian system in digital imaging and communications in medicine (DICOM) format. Thereafter, DVHs of the OARs and PTVs were generated in the MRIdian system. The structure volumes, dose distributions, and DVHs were compared between the MRIdian and Eclipse systems. Results and Discussion: The dose differences between the two systems were negligible (average matching ratio for every voxel with a 0.1% dose difference criterion = $100.0{\pm}0.0%$). However, the structure volumes significantly differed between the MRIdian and Eclipse systems (volume differences of $743.21{\pm}461.91%$ for the optic chiasm and $8.98{\pm}1.98%$ for the PTV). Compared to the Eclipse system, the MRIdian system generally overestimated the structure volumes (all, p < 0.001). The DVHs that were plotted using the relative structure volumes exhibited small differences between the MRIdian and Eclipse systems. In contrast, the DVHs that were plotted using the absolute structure volumes showed large differences between the two TPSs. Conclusion: DVH interpretation between two TPSs should be performed using DVHs plotted with the absolute dose and absolute volume, rather than the relative values.

• 대한방사선치료학회지
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• 제26권2호
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• pp.233-238
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• 2014

목 적 : 최근 사용이 급증하고 있는 미국 베리안사의 이클립스 치료계획 시스템은 치료기에 설치되어 있는 다엽콜리메이터의 충돌 보호를 위해 존재하는 하드웨어적 제한성을 립 갭이라는 설정을 통하여 소프트웨어적으로 극복함으로써 정확한 치료계획을 구현 할 수 있도록 한다. 본 연구에서는 이클립스 치료계획 시스템에 설정되어 있는 립 갭이 치료계획에 미치는 영향을 분석하고 정확한 임상적용에 이용할 수 있도록 하고자 한다. 대상 및 방법 : 연구에 사용되어진 이클립스 치료계획 시스템의 버전은 11.0이다. 시스템에 설정되어 있는 립 갭은 각 치료기와 광자 에너지별로 측정되었다. 일반적으로 0.05~0.30 mm의 값을 가지고 있고, 다엽콜리메이터의 교정상태에 따라 다르므로 일괄되게 적용하지 않고 측정를 통하여 적용한다. 본 연구에서는 세기변조와 용적변조 치료계획을 측정된 각각의 립 갭을 적용하고, 립 갭이 달라질 때마다 치료계획의 영향을 Dmax, CI 등을 이용하여 평가하였다. 결 과 : 동일한 치료계획을 각각의 치료기에서 립 갭을 변화하며 평가하였을 때, 립 갭이 0.05 mm ~ 0.50 mm로 증가할수록 Dmax, CI 의 값이 2~5% 이상 증가하였다. 세기변조방사선치료계획과 용적변조방사선치료계획 모두 동일한 경향을 나타내었고 각 치료계획 간의 유의성은 찾아 볼 수 없었다. 결 론 : 치료기의 다엽콜리메이터의 립 갭 설정은 일반적으로 고유한 측정값을 가지고 있다. 하지만, 다엽콜리메이터의 노후, 교정, 수리 및 점검 후에 립 갭은 변할 수 있고, 이러한 값은 결국 치료계획에 영향을 미치기 때문에 반드시 확인 후 치료에 적용해야 한다. 경우에 따라선 립 갭을 초기 설정값을 유지하는 할 수 있는데, 이는 치료계획에 미치는 영향을 무시할 수 있기 때문에 바람직하지 않다.

• 한국의학물리학회지:의학물리
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• 제28권3호
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• pp.122-128
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• 2017

Eclipse Scripting Application Programming Interface (ESAPI) was devised to enhance the efficiency in such treatment related workflows as contouring, treatment planning, plan quality measure, and data-mining by communicating with the treatment planning system (TPS). It is provided in the form of C# programming based toolbox, which could be modified to fit into the clinical applications. The Scripting program, however, does not offer all potential functionalities that the users intend to develop. The shortcomings can be overcome by combining the Scripting programming with user-executable program on Windows or Linux. The executed program has greater freedom in implementation, which could strengthen the ability and availability of the Scripting on the clinical applications. This work shows the use of the Scripting programming throughout the simple modification of the given toolbox. Besides, it presents the implementation of combining both Scripting and user-executed programming based on MATLAB, applied to automated dynamic MLC wedge and FIF treatment planning procedure for promoting the planning efficiency.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2006년도 제33회 추계학술대회 발표논문집
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• pp.101-101
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• 2006

• 한국의학물리학회지:의학물리
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• 제31권3호
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• pp.54-62
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• 2020

Dose calculation algorithms play an important role in radiation therapy and are even the basis for optimizing treatment plans, an important feature in the development of complex treatment technologies such as intensity-modulated radiation therapy. We reviewed the past and current status of dose calculation algorithms used in the treatment planning system for radiation therapy. The radiation-calculating dose calculation algorithm can be broadly classified into three main groups based on the mechanisms used: (1) factor-based, (2) model-based, and (3) principle-based. Factor-based algorithms are a type of empirical dose calculation that interpolates or extrapolates the dose in some basic measurements. Model-based algorithms, represented by the pencil beam convolution, analytical anisotropic, and collapse cone convolution algorithms, use a simplified physical process by using a convolution equation that convolutes the primary photon energy fluence with a kernel. Model-based algorithms allowing side scattering when beams are transmitted to the heterogeneous media provide more precise dose calculation results than correction-based algorithms. Principle-based algorithms, represented by Monte Carlo dose calculations, simulate all real physical processes involving beam particles during transportation; therefore, dose calculations are accurate but time consuming. For approximately 70 years, through the development of dose calculation algorithms and computing technology, the accuracy of dose calculation seems close to our clinical needs. Next-generation dose calculation algorithms are expected to include biologically equivalent doses or biologically effective doses, and doctors expect to be able to use them to improve the quality of treatment in the near future.