• 제목/요약/키워드: 선량품질보증 토모테라피

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토모테라피에서 통계적공정관리를 이용한 EBT 필름 기반의 선량품질보증의 치료계획 가이드라인 (Treatment Planning Guideline of EBT Film-based Delivery Quality Assurance Using Statistical Process Control in Helical Tomotherapy)

  • 장경환
    • 대한방사선기술학회지:방사선기술과학
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    • 제45권5호
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    • pp.439-448
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    • 2022
  • The purpose of this study was to analyze the results from statistical process control (SPC) to recommend upper and lower control limits for planning parameters based on delivery quality assurance (DQA) results and establish our institutional guidelines regarding planning parameters for helical tomotherapy (HT). A total of 53 brain, 41 head and neck (H & N), and 51 pelvis cases who had passing or failing DQA measurements were selected. The absolute point dose difference (DD) and the global gamma passing rate (GPR) for all patients were analyzed. Control charts were used to evaluate upper and lower control limits (UCL and LCL) for all assessed treatment planning parameters. Treatment planning parameters were analyzed to provide its range for DQA pass cases. We confirmed that the probability of DQA failure was higher when the proportion of leaf open time (LOT) below 100 ms was greater than 30%. LOT and gantry period (GP) were significant predictor for DQA failure using the SPC method. We investigated the availability of the SPC statistic method to establish the local planning guideline based on DQA results for HT system. The guideline of each planning parameter in HT may assist in the prediction of DQA failure using the SPC statistic method in the future.

토모테라피 환자 치료 선량 분석을 위한 3DVH 프로그램 평가 (Evaluation of 3DVH Software for the Patient Dose Analysis in TomoTherapy)

  • 송주영;김용협;정재욱;윤미선;안성자;정웅기;남택근
    • 한국의학물리학회지:의학물리
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    • 제26권4호
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    • pp.201-207
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    • 2015
  • 세기조절방사선치료의 선량정확도에 대한 품질보증 과정에서 측정된 데이터를 기반으로 실제 치료 환자 신체 내의 치료 선량분포를 재계산하여 치료계획 시 계산된 선량분포와 비교, 분석을 수행할 수 있는 프로그램들이 개발되어 임상에 사용 중에 있다. 본 연구에서는 아크첵(ArcCHECK)을 사용하여 품질보증 과정에서 측정한 토모테라피 선량 데이터를 기반으로 환자 내 치료선량 분포를 재구성할 수 있는 3DVH 프로그램의 새로운 기능 및 선량정확도를 평가하고자 하였다. 이를 위한 가상의 환자로 이차원 다이오드 검출기 배열 장치인 MapCHECK 영상을 사용하여 토모테라피 치료계획을 수립하고, 아크첵으로 선량을 측정 후 다시 3DVH를 사용하여 MapCHECK 검출기 영역의 선량분포를 재계산한 후, 실제 MapCHECK에서 측정된 선량분포와 비교하여, 그 오차를 분석하였다. 분석 결과, 측정값과 3DVH 계산값 비교를 위한 감마평가에서 평균 합격률은 $92.6{\pm}3.5%$로 측정값과 토모치료계획에서 계산된 선량과의 감마평가 평균 합격률 $99.0{\pm}1.2%$보다 오차가 큼을 보였다. 래피드아크에서 비교한 3DVH 계산값과 측정값의 감마평가 평균 합격률 $99.3{\pm}0.9%$와 비교하였을 경우에도 더 큰 오차를 보여, 토모테라피에서 3DVH 선량 계산 기능을 임상에서 신뢰하고 사용하기에는 더 많은 측정 결과들의 분석과 오차 원인에 대한 분석이 수행되어야 할 것으로 생각된다.

토모테라피에서 선량품질보증 분석을 위한 통계적공정관리의 타당성 (Feasibility on Statistical Process Control Analysis of Delivery Quality Assurance in Helical Tomotherapy)

  • 장경환
    • 대한방사선기술학회지:방사선기술과학
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    • 제45권6호
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    • pp.491-502
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    • 2022
  • The purpose of this study was to retrospectively investigate the upper and lower control limits of treatment planning parameters using EBT film based delivery quality assurance (DQA) results and to analyze the results of statistical process control (SPC) in helical tomotherapy (HT). A total of 152 patients who passed or failed DQA results were retrospectively included in this study. Prostate (n = 66), rectal (n = 51), and large-field cancer patients, including lymph nodes (n = 35), were randomly selected. The absolute point dose difference (DD) and global gamma passing rate (GPR) were analyzed for all patients. Control charts were used to evaluate the upper and lower control limits (UCL and LCL) for all the assessed treatment planning parameters. Treatment planning parameters such as gantry period, leaf open time (LOT), pitch, field width, actual and planning modulation factor, treatment time, couch speed, and couch travel were analyzed to provide the optimal range using the DQA results. The classification and regression tree (CART) was used to predict the relative importance of variables in the DQA results from various treatment planning parameters. We confirmed that the proportion of patients with an LOT below 100 ms in the failure group was relatively higher than that in the passing group. SPC can detect QA failure prior to over dosimetric QA tolerance levels. The acceptable tolerance range of each planning parameter may assist in the prediction of DQA failures using the SPC tool in the future.