Patient-specific quality assurance using machine log files analysis for stereotactic body radiation therapy (SBRT)

被引:11
|
作者
Chow, Vivian U. Y. [1 ]
Kan, Monica W. K. [1 ,2 ]
Chan, Anthony T. C. [1 ,2 ]
机构
[1] Prince Wales Hosp, Dept Clin Oncol, Hong Kong, Peoples R China
[2] Chinese Univ Hong Kong, Dept Clin Oncol, Hong Kong, Peoples R China
来源
关键词
patient-specific QA; log file analysis; stereotactic body radiation therapy; volumetric-modulated arc therapy; plan delivery accuracy; TRAJECTORY LOG; DELIVERY; IMRT; ERRORS; IMPLEMENTATION;
D O I
10.1002/acm2.13053
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
An in-house trajectory log analysis program (LOGQA) was developed to evaluate the delivery accuracy of volumetric-modulated arc therapy (VMAT) for stereotactic body radiation therapy (SBRT). Methods have been established in LOGQA to provide analysis on dose indices, gantry angles, and multi-leaf collimator (MLC) positions. Between March 2019 and May 2020, 120 VMAT SBRT plans of various treatment sites using flattening filter-free (FFF) mode were evaluated using both LOGQA and phantom measurements. Gantry angles, dose indices, and MLC positions were extracted from log and compared with each plan. Integrated transient fluence map (ITFM) was reconstructed from log to examine the deviation of delivered fluence against the planned one. Average correlation coefficient of dose index versus gantry angle and ITFM for all patients were 1.0000, indicating that the delivered beam parameters were in good agreement with planned values. Maximum deviation of gantry angles and monitor units (MU) of all patients were less than 0.2 degree and 0.03 % respectively. Regarding MLC positions, maximum and root-mean-square (RMS) deviations from planned values were less than 0.6 mm and 0.3 mm respectively, indicating that MLC positions during delivery followed planned values in precise manner. Results of LOGQA were consistent with measurement, where all gamma-index passing rates were larger than 95 %, with 2 %/2 mm criteria. Three types of intentional errors were introduced to patient plan for software validation. LOGQA was found to recognize the introduced errors of MLC positions, gantry angles, and dose indices with magnitudes of 1 mm, 1 degree, and 5 %, respectively, which were masked in phantom measurement. LOGQA was demonstrated to have the potential to reduce or even replace patient-specific QA measurements for SBRT plan delivery provided that the frequency and amount of measurement-based machine-specific QA can be increased to ensure the log files record real values of machine parameters.
引用
收藏
页码:179 / 187
页数:9
相关论文
共 50 条
  • [41] A national survey on technology and quality assurance for stereotactic body radiation therapy
    Marino, Carmelo
    Garibaldi, Cristina
    Veronese, Ivan
    Carbonini, Claudia
    Russo, Serenella
    Stasi, Michele
    Mancosu, Pietro
    PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2019, 65 : 6 - 14
  • [42] Quality assurance for mixed electron-photon beam radiation therapy using treatment log files and MapCHECK
    Tai, Yee Man
    Heng, Veng Jean
    Renaud, Marc-Andre
    Serban, Monica
    Seuntjens, Jan
    MEDICAL PHYSICS, 2023, 50 (12) : 7996 - 8008
  • [43] Quality Assurance for Mixed Electron-Photon Beam Radiation Therapy Using Treatment Log Files and MapCHECK
    Tai, Y.
    Heng, V.
    Renaud, M.
    Serban, M.
    Seuntjens, J.
    MEDICAL PHYSICS, 2022, 49 (06) : E832 - E833
  • [44] Assessment of using a gamma index analysis for patient-specific quality assurance in Japan
    Anetai, Yusuke
    Sumida, Iori
    Kumazaki, Yu
    Kito, Satoshi
    Kurooka, Masahiko
    Ueda, Yoshihiro
    Otani, Yuki
    Narita, Yuichiro
    Kawamorita, Ryu
    Akita, Kazuhiko
    Kato, Takahiro
    Nakamura, Mitsuhiro
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2022, 23 (10):
  • [45] Deep Learning for Patient-Specific Quality Assurance: Predicting Gamma Passing Rates for IMRT Based on Delivery Fluence Informed by log Files
    Huang, Ying
    Pi, Yifei
    Ma, Kui
    Miao, Xiaojuan
    Fu, Sichao
    Zhu, Zhen
    Cheng, Yifan
    Zhang, Zhepei
    Chen, Hua
    Wang, Hao
    Gu, Hengle
    Shao, Yan
    Duan, Yanhua
    Feng, Aihui
    Zhuo, Weihai
    Xu, Zhiyong
    TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2022, 21
  • [46] Delivery Quality Assurance for Stereotactic Body Radiotherapy (SBRT) Using a Teflon Cylindrical Phantom
    Worthy, D.
    Snyder, M.
    Starin, R.
    MEDICAL PHYSICS, 2010, 37 (06)
  • [47] The Application of Regularization-Based Multi-Channel Radiochromic Film Dosimetry for Patient-Specific QA of Stereotactic Body Radiation Therapy (SBRT) Treatment
    Li, Darrell T. H.
    Chan, Kenny S. K.
    Lee, Louis K. Y.
    Chan, Anthony T. C.
    MEDICAL PHYSICS, 2015, 42 (06) : 3504 - 3504
  • [48] Treatment Plan Complexity Quantification for Predicting Patient-Specific Quality Assurance of Stereotactic Volumetric Modulated Arc Therapy
    Xudong, X.
    Ding, Y.
    Wei, W.
    Ma, C.
    Wang, X.
    MEDICAL PHYSICS, 2022, 49 (06) : E286 - E287
  • [49] Experience with patient-specific quality assurance of dosimetrist-led online adaptive prostate SBRT
    Calvo-Ortega, Juan-Francisco
    Laosa-Bello, Coral
    Moragues-Femenia, Sandra
    Pozo-Masso, Miguel
    Jones, Adam
    JOURNAL OF MEDICAL IMAGING AND RADIATION SCIENCES, 2024, 55 (04)
  • [50] Patient-specific Quality Assurance Using a 4-dimensional Programmable Motion Platform in Respiratory Gated Radiation Therapy
    Lee, J.
    Park, Y.
    Sung, W.
    Kim, J.
    Choi, C.
    Ye, S.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2012, 84 (03): : S785 - S785