Development and Longitudinal Analysis of Plan-Based Streamlined Quality Assurance on Multiple Positioning Guidance Systems With Single Phantom Setup

This study was to propose and validate an efficient and streamlined quality assurance (QA) method with a single phantom setup to check performances of patient positioning guidance systems including six-degree-of-freedom (6DoF) couch, X-ray modalities (kV-kV, MV-MV and CBCT), optical surface imaging...

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Vydáno v:Frontiers in oncology Ročník 11; s. 683733
Hlavní autoři: Zhou, Shun, Li, Junyu, Du, Yi, Yu, Songmao, Wang, Meijiao, Wu, Hao, Yue, Haizhen
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland Frontiers Media S.A 16.06.2021
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ISSN:2234-943X, 2234-943X
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Abstract This study was to propose and validate an efficient and streamlined quality assurance (QA) method with a single phantom setup to check performances of patient positioning guidance systems including six-degree-of-freedom (6DoF) couch, X-ray modalities (kV-kV, MV-MV and CBCT), optical surface imaging system (AlignRT), lasers and optical distance indicator (ODI). The QA method was based on a pseudo-patient treatment plan using the AlignRT cube phantom. The cube was first randomly set up on the couch, and the initial position offsets were acquired by AlignRT and CBCT. The cube was restored to its reference position by 6DoF couch shift, during which the couch motion accuracy and tracking performances of AlignRT and CBCT were derived. After that, the residual offsets were acquired by kV-kV, MV-MV and AlignRT to derive the isocenter discrepancies. Finally, the laser alignment and ODI values were visually inspected. The QA procedure had been internally approved as a standard weekly QA test, and the results over 50 weeks were longitudinally analyzed for clinical validation. The 6DoF couch motion errors as well as the tracking errors of AlignRT were sub-millimeter and sub-degree, and no deviation over 1 mm or 1 deg was identified. The ROI mode of isocenter (ISO) in AlignRT exhibited more consistent results than the centroid (CEN). While the isocenter discrepancy between CBCT and kV-kV was negligible, the maximal discrepancies between CBCT and MV-MV were 0.4 mm in LNG and 0.3 deg in PITCH. The isocenter discrepancies between CBCT and AlignRT were <0.5 mm in translation and <0.3 deg in rotation. For AlignRT, the isocenter discrepancies between the DICOM and SGRT references were about 0.6 mm in VRT, 0.5 mm in LNG and 0.2 deg in PITCH. As the therapists became familiar with the workflow, the average time to complete the whole procedure was around 23 min. The streamlined QA exhibits desirable practicality as an efficient multipurpose performance check on positioning guidance systems. The stability, tracking performance and isocenter congruence of the positioning guidance systems have been fully validated for all clinical image guidance RT application, even SRS/SBRT, which requires the strictest tolerance.
AbstractList This study was to propose and validate an efficient and streamlined quality assurance (QA) method with a single phantom setup to check performances of patient positioning guidance systems including six-degree-of-freedom (6DoF) couch, X-ray modalities (kV-kV, MV-MV and CBCT), optical surface imaging system (AlignRT), lasers and optical distance indicator (ODI). The QA method was based on a pseudo-patient treatment plan using the AlignRT cube phantom. The cube was first randomly set up on the couch, and the initial position offsets were acquired by AlignRT and CBCT. The cube was restored to its reference position by 6DoF couch shift, during which the couch motion accuracy and tracking performances of AlignRT and CBCT were derived. After that, the residual offsets were acquired by kV-kV, MV-MV and AlignRT to derive the isocenter discrepancies. Finally, the laser alignment and ODI values were visually inspected. The QA procedure had been internally approved as a standard weekly QA test, and the results over 50 weeks were longitudinally analyzed for clinical validation. The 6DoF couch motion errors as well as the tracking errors of AlignRT were sub-millimeter and sub-degree, and no deviation over 1 mm or 1 deg was identified. The ROI mode of isocenter (ISO) in AlignRT exhibited more consistent results than the centroid (CEN). While the isocenter discrepancy between CBCT and kV-kV was negligible, the maximal discrepancies between CBCT and MV-MV were 0.4 mm in LNG and 0.3 deg in PITCH. The isocenter discrepancies between CBCT and AlignRT were <0.5 mm in translation and <0.3 deg in rotation. For AlignRT, the isocenter discrepancies between the DICOM and SGRT references were about 0.6 mm in VRT, 0.5 mm in LNG and 0.2 deg in PITCH. As the therapists became familiar with the workflow, the average time to complete the whole procedure was around 23 min. The streamlined QA exhibits desirable practicality as an efficient multipurpose performance check on positioning guidance systems. The stability, tracking performance and isocenter congruence of the positioning guidance systems have been fully validated for all clinical image guidance RT application, even SRS/SBRT, which requires the strictest tolerance.
PurposeThis study was to propose and validate an efficient and streamlined quality assurance (QA) method with a single phantom setup to check performances of patient positioning guidance systems including six-degree-of-freedom (6DoF) couch, X-ray modalities (kV–kV, MV–MV and CBCT), optical surface imaging system (AlignRT), lasers and optical distance indicator (ODI).Methods and MaterialsThe QA method was based on a pseudo-patient treatment plan using the AlignRT cube phantom. The cube was first randomly set up on the couch, and the initial position offsets were acquired by AlignRT and CBCT. The cube was restored to its reference position by 6DoF couch shift, during which the couch motion accuracy and tracking performances of AlignRT and CBCT were derived. After that, the residual offsets were acquired by kV–kV, MV–MV and AlignRT to derive the isocenter discrepancies. Finally, the laser alignment and ODI values were visually inspected. The QA procedure had been internally approved as a standard weekly QA test, and the results over 50 weeks were longitudinally analyzed for clinical validation.ResultsThe 6DoF couch motion errors as well as the tracking errors of AlignRT were sub-millimeter and sub-degree, and no deviation over 1 mm or 1 deg was identified. The ROI mode of isocenter (ISO) in AlignRT exhibited more consistent results than the centroid (CEN). While the isocenter discrepancy between CBCT and kV–kV was negligible, the maximal discrepancies between CBCT and MV–MV were 0.4 mm in LNG and 0.3 deg in PITCH. The isocenter discrepancies between CBCT and AlignRT were <0.5 mm in translation and <0.3 deg in rotation. For AlignRT, the isocenter discrepancies between the DICOM and SGRT references were about 0.6 mm in VRT, 0.5 mm in LNG and 0.2 deg in PITCH. As the therapists became familiar with the workflow, the average time to complete the whole procedure was around 23 min.ConclusionsThe streamlined QA exhibits desirable practicality as an efficient multipurpose performance check on positioning guidance systems. The stability, tracking performance and isocenter congruence of the positioning guidance systems have been fully validated for all clinical image guidance RT application, even SRS/SBRT, which requires the strictest tolerance.
This study was to propose and validate an efficient and streamlined quality assurance (QA) method with a single phantom setup to check performances of patient positioning guidance systems including six-degree-of-freedom (6DoF) couch, X-ray modalities (kV-kV, MV-MV and CBCT), optical surface imaging system (AlignRT), lasers and optical distance indicator (ODI).PURPOSEThis study was to propose and validate an efficient and streamlined quality assurance (QA) method with a single phantom setup to check performances of patient positioning guidance systems including six-degree-of-freedom (6DoF) couch, X-ray modalities (kV-kV, MV-MV and CBCT), optical surface imaging system (AlignRT), lasers and optical distance indicator (ODI).The QA method was based on a pseudo-patient treatment plan using the AlignRT cube phantom. The cube was first randomly set up on the couch, and the initial position offsets were acquired by AlignRT and CBCT. The cube was restored to its reference position by 6DoF couch shift, during which the couch motion accuracy and tracking performances of AlignRT and CBCT were derived. After that, the residual offsets were acquired by kV-kV, MV-MV and AlignRT to derive the isocenter discrepancies. Finally, the laser alignment and ODI values were visually inspected. The QA procedure had been internally approved as a standard weekly QA test, and the results over 50 weeks were longitudinally analyzed for clinical validation.METHODS AND MATERIALSThe QA method was based on a pseudo-patient treatment plan using the AlignRT cube phantom. The cube was first randomly set up on the couch, and the initial position offsets were acquired by AlignRT and CBCT. The cube was restored to its reference position by 6DoF couch shift, during which the couch motion accuracy and tracking performances of AlignRT and CBCT were derived. After that, the residual offsets were acquired by kV-kV, MV-MV and AlignRT to derive the isocenter discrepancies. Finally, the laser alignment and ODI values were visually inspected. The QA procedure had been internally approved as a standard weekly QA test, and the results over 50 weeks were longitudinally analyzed for clinical validation.The 6DoF couch motion errors as well as the tracking errors of AlignRT were sub-millimeter and sub-degree, and no deviation over 1 mm or 1 deg was identified. The ROI mode of isocenter (ISO) in AlignRT exhibited more consistent results than the centroid (CEN). While the isocenter discrepancy between CBCT and kV-kV was negligible, the maximal discrepancies between CBCT and MV-MV were 0.4 mm in LNG and 0.3 deg in PITCH. The isocenter discrepancies between CBCT and AlignRT were <0.5 mm in translation and <0.3 deg in rotation. For AlignRT, the isocenter discrepancies between the DICOM and SGRT references were about 0.6 mm in VRT, 0.5 mm in LNG and 0.2 deg in PITCH. As the therapists became familiar with the workflow, the average time to complete the whole procedure was around 23 min.RESULTSThe 6DoF couch motion errors as well as the tracking errors of AlignRT were sub-millimeter and sub-degree, and no deviation over 1 mm or 1 deg was identified. The ROI mode of isocenter (ISO) in AlignRT exhibited more consistent results than the centroid (CEN). While the isocenter discrepancy between CBCT and kV-kV was negligible, the maximal discrepancies between CBCT and MV-MV were 0.4 mm in LNG and 0.3 deg in PITCH. The isocenter discrepancies between CBCT and AlignRT were <0.5 mm in translation and <0.3 deg in rotation. For AlignRT, the isocenter discrepancies between the DICOM and SGRT references were about 0.6 mm in VRT, 0.5 mm in LNG and 0.2 deg in PITCH. As the therapists became familiar with the workflow, the average time to complete the whole procedure was around 23 min.The streamlined QA exhibits desirable practicality as an efficient multipurpose performance check on positioning guidance systems. The stability, tracking performance and isocenter congruence of the positioning guidance systems have been fully validated for all clinical image guidance RT application, even SRS/SBRT, which requires the strictest tolerance.CONCLUSIONSThe streamlined QA exhibits desirable practicality as an efficient multipurpose performance check on positioning guidance systems. The stability, tracking performance and isocenter congruence of the positioning guidance systems have been fully validated for all clinical image guidance RT application, even SRS/SBRT, which requires the strictest tolerance.
Author Wang, Meijiao
Wu, Hao
Du, Yi
Yue, Haizhen
Li, Junyu
Zhou, Shun
Yu, Songmao
AuthorAffiliation 1 Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute , Beijing , China
2 Institute of Medical Technology, Peking University Health Science Center , Beijing , China
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Cites_doi 10.1118/1.3681967
10.1201/9780429489402
10.1088/1361-6560/ab8534
10.1002/acm2.12072
10.1016/j.ijrobp.2015.07.815
10.1002/acm2.12064
10.1016/j.prro.2011.04.005
10.1118/1.4960369
10.37206/104
10.1186/s13014-015-0381-0
10.1118/1.3438081
10.1016/j.meddos.2015.12.003
10.1016/S0360-3016(97)00567-1
10.1002/acm2.12723
10.1002/mp.12950
10.1002/acm2.12183
10.1227/NEU.0b013e3182647ad5
10.1118/1.3190392
10.1016/j.prro.2013.01.004
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Keywords image guided radiotherapy
positioning guidance
surface imaging
quality assurance
robotic couch
Language English
License Copyright © 2021 Zhou, Li, Du, Yu, Wang, Wu and Yue.
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Reviewed by: Hyejoo Kang, Loyola University Chicago, United States; Gage Redler, Moffitt Cancer Center, United States
These authors have contributed equally to this work
This article was submitted to Radiation Oncology, a section of the journal Frontiers in Oncology
Edited by: John C. Roeske, Loyola University Medical Center, United States
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References Kang (B9) 2019; 20
Clivio (B11) 2015; 10
Barnes (B12) 2017; 18
Willoughby (B6) 2012; 39
Barnes (B13) 2017; 18
Klein (B5) 2009; 36
Mancosu (B15) 2016; 41
Hoisak (B20) 2020
Yin (B4) 2009
Benedict (B1) 2010; 37
Pan (B17) 2012; 71
Pham (B19) 2014; 3
Cerviño (B18) 2012; 2
Cook (B7) 2016; 43
Stanley (B16) 2017; 18
Yu (B8) 2018; 45
Barnes (B14) 2017; 18
Yan (B2) 1998; 41
Jaffray (B3) 2013; 3
Capaldi (B10) 2020; 65
References_xml – volume: 39
  year: 2012
  ident: B6
  article-title: Quality Assurance for Nonradiographic Radiotherapy Localization and Positioning Systems: Report of Task Group 147
  publication-title: Med Phys
  doi: 10.1118/1.3681967
– volume-title: Surface Guided Radiation Therapy
  year: 2020
  ident: B20
  doi: 10.1201/9780429489402
– volume: 65
  start-page: 115006
  year: 2020
  ident: B10
  article-title: An Integrated Quality Assurance Phantom for Frameless Single-Isocenter Multitarget Stereotactic Radiosurgery
  publication-title: Phys Med Biol
  doi: 10.1088/1361-6560/ab8534
– volume: 18
  year: 2017
  ident: B14
  article-title: Evaluation of the TrueBeam Machine Performance Check (MPC) Beam Constancy Checks for Flattened and Flattening Filter-Free (FFF) Photon Beams
  publication-title: J Appl Clin Med Phys
  doi: 10.1002/acm2.12072
– volume: 3
  year: 2014
  ident: B19
  article-title: Frameless, Real-Time, Surface Imaging-Guided Radiosurgery: Update on Clinical Outcomes for Brain Metastases
  publication-title: Transl Cancer Res
  doi: 10.1016/j.ijrobp.2015.07.815
– volume: 18
  year: 2017
  ident: B12
  article-title: Evaluation of the Truebeam Machine Performance Check (MPC) Geometric Checks for Daily IGRT Geometric Accuracy Quality Assurance
  publication-title: J Appl Clin Med Phys
  doi: 10.1002/acm2.12064
– volume: 2
  start-page: 54
  year: 2012
  ident: B18
  article-title: Initial Clinical Experience With a Frameless and Maskless Stereotactic Radiosurgery Treatment
  publication-title: Pract Radiat Oncol
  doi: 10.1016/j.prro.2011.04.005
– volume: 43
  year: 2016
  ident: B7
  article-title: Technical Note: Unified Imaging and Robotic Couch Quality Assurance
  publication-title: Med Phys
  doi: 10.1118/1.4960369
– year: 2009
  ident: B4
  publication-title: The Role of In-Room kV X-Ray Imaging for Patient Setup and Target Localization
  doi: 10.37206/104
– volume: 10
  start-page: 97
  year: 2015
  ident: B11
  article-title: Evaluation of the Machine Performance Check Application for TrueBeam Linac
  publication-title: Radiat Oncol
  doi: 10.1186/s13014-015-0381-0
– volume: 18
  start-page: 56
  year: 2017
  ident: B13
  article-title: Evaluation of the Truebeam Machine Performance Check (MPC): Mechanical and Collimation Checks
  publication-title: J Appl Clin Med Phys
  doi: 10.1002/acm2.12072
– volume: 37
  year: 2010
  ident: B1
  article-title: Stereotactic Body Radiation Therapy: The Report of AAPM Task Group 101
  publication-title: Med Phys
  doi: 10.1118/1.3438081
– volume: 41
  year: 2016
  ident: B15
  article-title: Accuracy Evaluation of the Optical Surface Monitoring System on EDGE Linear Accelerator in a Phantom Study
  publication-title: Med Dosim
  doi: 10.1016/j.meddos.2015.12.003
– volume: 41
  year: 1998
  ident: B2
  article-title: The Use of Adaptive Radiation Therapy to Reduce Setup Error: A Prospective Clinical Study
  publication-title: Int J Radiat Oncol
  doi: 10.1016/S0360-3016(97)00567-1
– volume: 20
  year: 2019
  ident: B9
  article-title: Efficient Quality Assurance Method With Automated Data Acquisition of a Single Phantom Setup to Determine Radiation and Imaging Isocenter Congruence
  publication-title: J Appl Clin Med Phys
  doi: 10.1002/acm2.12723
– volume: 45
  year: 2018
  ident: B8
  article-title: A Novel-Integrated Quality Assurance Phantom for Radiographic and Nonradiographic Radiotherapy Localization and Positioning Systems
  publication-title: Med Phys
  doi: 10.1002/mp.12950
– volume: 18
  start-page: 58
  year: 2017
  ident: B16
  article-title: Comparison of Initial Patient Setup Accuracy Between Surface Imaging and Three Point Localization: A Retrospective Analysis
  publication-title: J Appl Clin Med Phys
  doi: 10.1002/acm2.12183
– volume: 71
  year: 2012
  ident: B17
  article-title: Frameless, Real-Time, Surface Imaging- Guided Radiosurgery: Clinical Outcomes for Brain Metastases
  publication-title: Neurosurgery
  doi: 10.1227/NEU.0b013e3182647ad5
– volume: 36
  year: 2009
  ident: B5
  article-title: Task Group 142 Report: Quality Assurance of Medical Accelerators
  publication-title: Med Phys
  doi: 10.1118/1.3190392
– volume: 3
  year: 2013
  ident: B3
  article-title: Safety Considerations for IGRT: Executive Summary
  publication-title: Pract Radiat Oncol
  doi: 10.1016/j.prro.2013.01.004
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Snippet This study was to propose and validate an efficient and streamlined quality assurance (QA) method with a single phantom setup to check performances of patient...
PurposeThis study was to propose and validate an efficient and streamlined quality assurance (QA) method with a single phantom setup to check performances of...
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SubjectTerms image guided radiotherapy
Oncology
positioning guidance
quality assurance
robotic couch
surface imaging
Title Development and Longitudinal Analysis of Plan-Based Streamlined Quality Assurance on Multiple Positioning Guidance Systems With Single Phantom Setup
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