Literature DB >> 31452629

Validation of Dolphin dosimetry in three dimensional patient-specific quality assurance programme.

Niyas Puzhakkal1,2, Abdullah Kallikuzhiyil Kochunny2, Dinesh Makuny1, Arun Krishnan M P1, Ranjith C Poyil1, Vysakh Raveendran1.   

Abstract

AIM: The aim of this study is to commission and validate Dolphin-Compass dosimetry as a patient-specific Quality Assurance (QA) device.
BACKGROUND: The advancement of radiation therapy in terms of highly conformal delivery techniques demands a novel method of patient-specific QA. Dolphin-Compass system is a dosimetry solution capable of doing different QA in radiation therapy.
MATERIALS AND METHODS: Dolphin, air-vented ionization detector array mounted on Versa-HD Linear Accelerator (LINAC) was used for measurements. The Compass is a dose computation algorithm which requires modelling of LINAC head similar to other Treatment Planning Systems (TPS). The dosimetry system was commissioned after measuring the required beam data. The validation was performed by comparison of treatment plans generated in Monaco TPS against the measurement data. Different types of simple, complex, static and dynamic radiation fields and highly conformal treatment plans of patients were used in this study.
RESULTS: For all field sizes, point doses obtained from Dolphin-Compass dosimetry were in good agreement with the corresponding TPS calculated values in most of the regions, except the penumbra, outside field and at build-up depth. The results of gamma passing rates of measurements by using different Multi-leaf Collimator patterns and Intensity Modulated Radiation Therapy fluence were also found to be in good correlation with the corresponding TPS values.
CONCLUSIONS: The commissioning and validation of dosimetry was performed with the help of various fields, MLC patterns and complex treatment plans. The present study also evaluated the efficiency of the 3D dosimetry system for the QA of complex treatment plans.

Entities:  

Keywords:  Compass; Dolphin detector; IMRT; QA; Treatment plans

Year:  2019        PMID: 31452629      PMCID: PMC6702462          DOI: 10.1016/j.rpor.2019.07.006

Source DB:  PubMed          Journal:  Rep Pract Oncol Radiother        ISSN: 1507-1367


  18 in total

1.  Experimental validation of a commercial 3D dose verification system for intensity-modulated arc therapies.

Authors:  Ramesh Boggula; Friedlieb Lorenz; Lutz Mueller; Mattias Birkner; Hansjoerg Wertz; Florian Stieler; Volker Steil; Frank Lohr; Frederik Wenz
Journal:  Phys Med Biol       Date:  2010-09-08       Impact factor: 3.609

2.  Characterisation of PRESAGE: A new 3-D radiochromic solid polymer dosemeter for ionising radiation.

Authors:  J Adamovics; M J Maryanski
Journal:  Radiat Prot Dosimetry       Date:  2006-06-17       Impact factor: 0.972

3.  Patient-specific 3D pretreatment and potential 3D online dose verification of Monte Carlo-calculated IMRT prostate treatment plans.

Authors:  Ramesh Boggula; Lennart Jahnke; Hansjoerg Wertz; Frank Lohr; Frederik Wenz
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-11-17       Impact factor: 7.038

4.  Guidance document on delivery, treatment planning, and clinical implementation of IMRT: report of the IMRT Subcommittee of the AAPM Radiation Therapy Committee.

Authors:  Gary A Ezzell; James M Galvin; Daniel Low; Jatinder R Palta; Isaac Rosen; Michael B Sharpe; Ping Xia; Ying Xiao; Lei Xing; Cedric X Yu
Journal:  Med Phys       Date:  2003-08       Impact factor: 4.071

5.  An investigation of the accuracy of an IMRT dose distribution using two- and three-dimensional dosimetry techniques.

Authors:  Mark Oldham; Harshad Sakhalkar; Pengyi Guo; John Adamovics
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

6.  Quality assurance of volumetric modulated arc therapy: evaluation and comparison of different dosimetric systems.

Authors:  L Masi; F Casamassima; R Doro; P Francescon
Journal:  Med Phys       Date:  2011-02       Impact factor: 4.071

7.  Per-beam, planar IMRT QA passing rates do not predict clinically relevant patient dose errors.

Authors:  Benjamin E Nelms; Heming Zhen; Wolfgang A Tomé
Journal:  Med Phys       Date:  2011-02       Impact factor: 4.071

8.  Patient-specific point dose measurement for IMRT monitor unit verification.

Authors:  Lei Dong; John Antolak; Mohammad Salehpour; Kenneth Forster; Laura O'Neill; Robin Kendall; Isaac Rosen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2003-07-01       Impact factor: 7.038

9.  Establishing action levels for EPID-based QA for IMRT.

Authors:  Rebecca M Howell; Iris P N Smith; Christie S Jarrio
Journal:  J Appl Clin Med Phys       Date:  2008-06-23       Impact factor: 2.102

10.  A survey on planar IMRT QA analysis.

Authors:  Benjamin E Nelms; Jeff A Simon
Journal:  J Appl Clin Med Phys       Date:  2007-07-17       Impact factor: 2.102

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  1 in total

1.  Validation of a secondary dose check tool against Monte Carlo and analytical clinical dose calculation algorithms in VMAT.

Authors:  Stefano Piffer; Marta Casati; Livia Marrazzo; Chiara Arilli; Silvia Calusi; Isacco Desideri; Franco Fusi; Stefania Pallotta; Cinzia Talamonti
Journal:  J Appl Clin Med Phys       Date:  2021-03-18       Impact factor: 2.102

  1 in total

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