Literature DB >> 24506616

Portal dosimetry for VMAT using integrated images obtained during treatment.

James L Bedford1, Ian M Hanson1, Vibeke Nordmark Hansen1.   

Abstract

PURPOSE: Portal dosimetry provides an accurate and convenient means of verifying dose delivered to the patient. A simple method for carrying out portal dosimetry for volumetric modulated arc therapy (VMAT) is described, together with phantom measurements demonstrating the validity of the approach.
METHODS: Portal images were predicted by projecting dose in the isocentric plane through to the portal image plane, with exponential attenuation and convolution with a double-Gaussian scatter function. Appropriate parameters for the projection were selected by fitting the calculation model to portal images measured on an iViewGT portal imager (Elekta AB, Stockholm, Sweden) for a variety of phantom thicknesses and field sizes. This model was then used to predict the portal image resulting from each control point of a VMAT arc. Finally, all these control point images were summed to predict the overall integrated portal image for the whole arc. The calculated and measured integrated portal images were compared for three lung and three esophagus plans delivered to a thorax phantom, and three prostate plans delivered to a homogeneous phantom, using a gamma index for 3% and 3 mm. A 0.6 cm(3) ionization chamber was used to verify the planned isocentric dose. The sensitivity of this method to errors in monitor units, field shaping, gantry angle, and phantom position was also evaluated by means of computer simulations.
RESULTS: The calculation model for portal dose prediction was able to accurately compute the portal images due to simple square fields delivered to solid water phantoms. The integrated images of VMAT treatments delivered to phantoms were also correctly predicted by the method. The proportion of the images with a gamma index of less than unity was 93.7% ± 3.0% (1SD) and the difference between isocenter dose calculated by the planning system and measured by the ionization chamber was 0.8% ± 1.0%. The method was highly sensitive to errors in monitor units and field shape, but less sensitive to errors in gantry angle or phantom position.
CONCLUSIONS: This method of predicting integrated portal images provides a convenient means of verifying dose delivered using VMAT, with minimal image acquisition and data processing requirements.

Entities:  

Mesh:

Year:  2014        PMID: 24506616     DOI: 10.1118/1.4862515

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  9 in total

1.  In vivo dosimetry for patients with prostate cancer to assess possible impact of bladder and rectum preparation.

Authors:  Yawo A C Fiagan; Evy Bossuyt; Daan Nevens; Piet Dirix; Frank Theys; Thierry Gevaert; Dirk Verellen
Journal:  Tech Innov Patient Support Radiat Oncol       Date:  2020-11-24

2.  Improved error detection using a divided treatment plan in volume modulated arc therapy.

Authors:  Kazuo Tarutani; Masao Tanooka; Hiroshi Doi; Masayuki Fujiwara; Masaki Miyashita; Kazufumi Kagawa; Norihiko Kamikonya; Koichiro Yamakado
Journal:  Rep Pract Oncol Radiother       Date:  2019-01-21

3.  A Feasibility Study for in vivo Dosimetry Procedure in Routine Clinical Practice.

Authors:  Maria D Falco; Stefano Giancaterino; Andrea De Nicola; Nico Adorante; Ramon Gimenez De Lorenzo; Monica Di Tommaso; Annamaria Vinciguerra; Marianna Trignani; Francesca Perrotti; Albina Allajbej; Andrea Fidanzio; Francesca Greco; Mattia Grusio; Domenico Genovesi; Angelo Piermattei
Journal:  Technol Cancer Res Treat       Date:  2018-01-01

4.  Quality control of VMAT synchronization using portal imaging.

Authors:  James L Bedford; Honorata Chajecka-Szczygielska; Michael D R Thomas
Journal:  J Appl Clin Med Phys       Date:  2015-01-08       Impact factor: 2.102

Review 5.  In vivo dosimetry in external beam photon radiotherapy: Requirements and future directions for research, development, and clinical practice.

Authors:  Igor Olaciregui-Ruiz; Sam Beddar; Peter Greer; Nuria Jornet; Boyd McCurdy; Gabriel Paiva-Fonseca; Ben Mijnheer; Frank Verhaegen
Journal:  Phys Imaging Radiat Oncol       Date:  2020-08-29

6.  Optimisation of a composite difference metric for prompt error detection in real-time portal dosimetry of simulated volumetric modulated arc therapy.

Authors:  James L Bedford; Ian M Hanson
Journal:  Br J Radiol       Date:  2021-03-18       Impact factor: 3.039

7.  A feasibility study for in vivo treatment verification of IMRT using Monte Carlo dose calculation and deep learning-based modelling of EPID detector response.

Authors:  Jun Zhang; Zhibiao Cheng; Ziting Fan; Qilin Zhang; Xile Zhang; Ruijie Yang; Junhai Wen
Journal:  Radiat Oncol       Date:  2022-02-10       Impact factor: 3.481

8.  A recurrent neural network for rapid detection of delivery errors during real-time portal dosimetry.

Authors:  James L Bedford; Ian M Hanson
Journal:  Phys Imaging Radiat Oncol       Date:  2022-04-20

9.  Portal dosimetry correction method for validation of single isocenter VMAT plans for multiple brain metastases.

Authors:  Ronald J Lalonde; M Saiful Huq
Journal:  J Appl Clin Med Phys       Date:  2022-08-12       Impact factor: 2.243

  9 in total

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