Literature DB >> 24877830

Quasi real time in vivo dosimetry for VMAT.

A Fidanzio1, A Porcelli2, L Azario1, F Greco3, S Cilla4, M Grusio5, M Balducci6, V Valentini6, A Piermattei7.   

Abstract

PURPOSE: Results about the feasibility of a method for quasi real time in vivo dosimetry (IVD) at the isocenter point for volumetric modulated arc therapy (VMAT) are here reported. The method is based on correlations between the EPID signal and the dose on the beam central axis. Moreover, the γ-analysis of EPID images was adopted to verify off-axis reproducibility of fractionated plan delivery.
METHODS: An algorithm to reconstruct in vivo the isocenter dose, D(iso), for RapidArc treatments has been developed. 20 VMAT plans, optimized with two opposite arcs, for prostate, pancreas, and head treatments have been delivered by a Varian linac both to a conic PMMA phantom with elliptical section and to patients. The ratios R between reconstructed D(iso) and the planned doses were determined for phantom and patient irradiations adopting an acceptance criterion of ±5%. In total, 40 phantom checks and 400 patient checks were analyzed. Moreover, 3% and 3 mm criteria were adopted for portal image γ-analysis to assess patient irradiation reproducibility.
RESULTS: The average ratio R, between reconstructed and planned doses for the PMMA phantom irradiations was equal to 1.007 ± 0.024. When the IVD method was applied to the 20 patients, the average R ratio was equal to 1.003 ± 0.017 and 96% of the tests were within the acceptance criteria. The portal image γ-analysis supplied 88% of the tests within the pass rates γ(mean) ≤ 0.4 and P(γ<1) ≥ 98%. All the warnings were understood comparing the CT and the cone beam CT images and in one case a patient's setup error was detected and corrected for the successive fractions.
CONCLUSIONS: This preliminary experience suggests that the method is able to detect dosimetric errors in quasi real time at the end of the therapy session. The authors intend to extend this procedure to other pathologies with the integration of in-room imaging verification by cone beam CT.

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Year:  2014        PMID: 24877830     DOI: 10.1118/1.4875685

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


  7 in total

1.  An evaluation of techniques for dose calculation on cone beam computed tomography.

Authors:  Valentina Giacometti; Raymond B King; Christina E Agnew; Denise M Irvine; Suneil Jain; Alan R Hounsell; Conor K McGarry
Journal:  Br J Radiol       Date:  2019-02-26       Impact factor: 3.039

2.  A validation study of a dedicated software for an automated in vivo dosimetry control in radiotherapy.

Authors:  A Piermattei; F Greco; M Grusio; S Menna; L Azario; G Stimato; E Placidi; S Teodoli; S Cilla; A Porcelli; L Alberico; A Fidanzio
Journal:  Med Biol Eng Comput       Date:  2018-04-23       Impact factor: 2.602

3.  Setup in a clinical workflow and impact on radiotherapy routine of an in vivo dosimetry procedure with an electronic portal imaging device.

Authors:  Jie Li; Angelo Piermattei; Pei Wang; Shengwei Kang; Mingyong Xiao; Bin Tang; Xiongfei Liao; Xin Xin; Mattia Grusio; Lucia Clara Orlandini
Journal:  PLoS One       Date:  2018-02-12       Impact factor: 3.240

4.  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

5.  Trajectory log analysis and cone-beam CT-based daily dose calculation to investigate the dosimetric accuracy of intensity-modulated radiotherapy for gynecologic cancer.

Authors:  Yohei Utena; Jun Takatsu; Satoru Sugimoto; Keisuke Sasai
Journal:  J Appl Clin Med Phys       Date:  2021-01-10       Impact factor: 2.102

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 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
  7 in total

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