Initial clinical experience of patient-specific QA of treatment delivery in online adaptive radiotherapy using a 1.5 T MR-Linac

被引:6
|
作者
Yang, B. [1 ]
Wong, Y. S. [1 ]
Lam, W. W. [1 ]
Geng, H. [1 ]
Huang, C. Y. [1 ]
Tang, K. K. [1 ]
Law, W. K. [1 ]
Ho, C. C. [1 ]
Nam, P. H. [1 ]
Cheung, K. Y. [1 ]
Yu, S. K. [1 ]
机构
[1] Hong Kong Sanat & Hosp, Med Phys & Res Dept, Happy Valley, 2 Village Rd, Hong Kong, Peoples R China
关键词
Unity; MR-Linac; quality assurance; online adaptive; ArcCHECK-MR; complexity metric; VOLUMETRIC MODULATED ARC; MAGNETIC-FIELD CORRECTION; CYLINDRICAL DIODE-ARRAY; IONIZATION-CHAMBER; REFERENCE DOSIMETRY; RADIATION-THERAPY; RELATIVE DOSIMETRY; MONTE-CARLO; PERFORMANCE; ARCCHECK;
D O I
10.1088/2057-1976/abfa80
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
Purpose. This study aims to evaluate the performance of a commercial 1.5 T MR-Linac by analyzing its patient-specific quality assurance (QA) data collected during one full year of clinical operation. Methods and Materials. The patient-specific QA system consisted of offline delivery QA (DQA) and online calculation-based QA. Offline DQA was based on ArcCHECK-MR combined with an ionization chamber. Online QA was performed using RadCalc that calculated and compared the point dose calculation with the treatment planning system (TPS). A total of 24 patients with 189 treatment fractions were enrolled in this study. Gamma analysis was performed and the threshold that encompassed 95% of QA results (T95) was reported. The plan complexity metric was calculated for each plan and compared with the dose measurements to determine whether any correlation existed. Results. All point dose measurements were within 5% deviation. The mean gamma passing rates of the group data were found to be 96.8 +/- 4.0% and 99.6 +/- 0.7% with criteria of 2%/2mm and 3%/3mm, respectively. T95 of 87.4% and 98.2% was reported for the overall group with the two passing criteria, respectively. No statistically significant difference was found between adaptive treatments with adapt-to-position (ATP) and adapt-to-shape (ATS), whilst the category of pelvis data showed a better passing rate than other sites. Online QA gave a mean deviation of 0.2 +/- 2.2%. The plan complexity metric was positively correlated with the mean dose difference whilst the complexity of the ATS cohort had larger variations than the ATP cohort. Conclusions. A patient-specific QA system based on ArcCHECK-MR, solid phantom and ionization chamber has been well established and implemented for validation of treatment delivery of a 1.5 T MR-Linac. Our QA data obtained over one year confirms that good agreement between TPS calculation and treatment delivery was achieved.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Clinical Experience of Patient-Specific QA for Online Adaptive Radiotherapy Using Elekta Unity MR-Linac
    Yang, J.
    Vedam, S.
    Wang, J.
    Fuller, C.
    Choi, S.
    Chung, C.
    McAleer, M.
    Lee, B.
    Hughes, N.
    Ungchusri, G.
    Gillin, M.
    Martel, M.
    Balter, P.
    [J]. MEDICAL PHYSICS, 2019, 46 (06) : E204 - E204
  • [2] Patient Specific QA for Online Adaptive Radiotherapy On An MR-Linac System
    Maraghechi, B.
    Heermann, A.
    Setianegara, J.
    Cammin, J.
    Price, A.
    Rodriguez, V.
    Yang, D.
    Mutic, S.
    Li, H.
    Green, O.
    [J]. MEDICAL PHYSICS, 2019, 46 (06) : E229 - E229
  • [3] A virtual phantom for patient-specific QA On A 1.5T MR-linac
    Ji, Mingshuo
    Li, Zhenjiang
    Tian, Yuan
    Zhang, Ke
    Li, Minghui
    Chen, Yan
    [J]. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2024, 25 (05):
  • [4] Comprehensive commissioning of MR-Linac online adaptive radiotherapy QA
    Green, O.
    Price, A.
    Cai, B.
    Cammin, J.
    Rodriguez, V.
    Park, J.
    Mutic, S.
    Yang, D.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2019, 133 : S38 - S38
  • [5] Patient Experience of MR-guided Radiotherapy using a 1.5T MR-Linac
    Westerhoff, J.
    van Otterloo, S. de Mol
    Leer, T.
    Daamen, L.
    Rutgers, R.
    Meijers, L.
    Intven, M.
    Verkooijen, H.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2022, 170 : S109 - S110
  • [6] Online adaptive MR-guided radiotherapy for rectal cancer; feasibility of the workflow on a 1.5T MR-linac: clinical implementation and initial experience
    Intven, M. P. W.
    van Otterloo, S. R. de Mol
    Mook, S.
    Doornaert, P. A. H.
    de Groot-van Breugel, E. N.
    Sikkes, G. G.
    Willemsen-Bosman, M. E.
    van Zijp, H. M.
    Tijssen, R. H. N.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2021, 154 : 172 - 178
  • [7] Patient expectation and experience of MR-guided radiotherapy using a 1.5T MR-Linac
    van Otterloo, S. R. de Mol
    Westerhoff, J. M.
    Leer, T.
    Rutgers, R. H. A.
    Meijers, L. T. C.
    Daamen, L. A.
    Intven, M. P. W.
    Verkooijen, H. M.
    [J]. TECHNICAL INNOVATIONS & PATIENT SUPPORT IN RADIATION ONCOLOGY, 2024, 29
  • [8] Online Adaptive MR-Guided Ultrahypofractionated Radiotherapy of Prostate Cancer on a 1.5 T MR-Linac: Clinical Experience and Prospective Evaluation
    Potkrajcic, Vlatko
    Gani, Cihan
    Fischer, Stefan Georg
    Boeke, Simon
    Niyazi, Maximilian
    Thorwarth, Daniela
    Voigt, Otilia
    Schneider, Moritz
    Moennich, David
    Kuebler, Sarah
    Boldt, Jessica
    Hoffmann, Elgin
    Paulsen, Frank
    Mueller, Arndt-Christian
    Wegener, Daniel
    [J]. CURRENT ONCOLOGY, 2024, 31 (05) : 2679 - 2688
  • [9] The patient's perspective on radiotherapy on a 1.5 T MR-Linac
    Ehlers, J.
    Gani, C.
    Marks, C.
    Stolte, A.
    Thorwarth, D.
    Weidner, N.
    Mueller, A.
    Moennich, D.
    Nachbar, M.
    Dohm, O.
    Zips, D.
    Boeke, S.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2020, 152 : S688 - S688
  • [10] Online Adaptive Planning Strategy for 1.5T MR-Linac
    Yang, J.
    Sobremonte, A.
    Vedam, S.
    Brock, K.
    Ohrt, A.
    Fuller, C.
    Choi, S.
    Jhingran, A.
    Castillo, P.
    Lee, B.
    Wang, J.
    Hughes, N.
    Mohammadsaid, M.
    Balter, P.
    [J]. MEDICAL PHYSICS, 2020, 47 (06) : E643 - E643