Literature DB >> 25458129

Independent brachytherapy plan verification software: improving efficacy and efficiency.

Antonio L Damato1, Phillip M Devlin2, Mandar S Bhagwat2, Ivan Buzurovic2, Scott Friesen2, Jorgen L Hansen2, Larissa J Lee2, Christina Molodowitch2, Paul L Nguyen2, Desmond A O'Farrell2, Akila N Viswanathan2, Christopher L Williams2, Joseph H Killoran2, Robert A Cormack2.   

Abstract

BACKGROUND AND
PURPOSE: To compare the pre-treatment brachytherapy plan verification by a physicist assisted by custom plan verification software (SAV) with those performed manually (MV).
MATERIALS AND METHODS: All HDR brachytherapy plans used for treatment in 2013, verified using either SAV or MV, were retrospectively reviewed. Error rate (number of errors/number of plans) was measured and verification time calculated. All HDR brachytherapy safety events recorded between 2010 and 2013 were identified. The rate of patient-related safety events (number of events/number of fractions treated) and the impact of SAV on the underlying errors were assessed.
RESULTS: Three/106 errors (2.8%) were found in the SAV group and 24/273 (8.8%) in the MV group (p=0.046). The mean ±1 standard deviation plan verification time was 8.4±4.0min for SAV and 11.6±5.3 for MV (p=0.006). Seven safety events out of 4729 fractions delivered (0.15%) were identified. Four events (57%) were associated with plan verification and could have been detected by SAV.
CONCLUSIONS: We found a safety event rate in HDR brachytherapy of 0.15%. SAV significantly reduced the number of undetected errors in HDR treatment plans compared to MV, and reduced the time required for plan verification.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Brachytherapy; Errors; Plan verification

Mesh:

Year:  2014        PMID: 25458129     DOI: 10.1016/j.radonc.2014.09.015

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  6 in total

1.  Redesign of process map to increase efficiency: Reducing procedure time in cervical cancer brachytherapy.

Authors:  Antonio L Damato; Larissa J Lee; Mandar S Bhagwat; Ivan Buzurovic; Robert A Cormack; Susan Finucane; Jorgen L Hansen; Desmond A O'Farrell; Alecia Offiong; Una Randall; Scott Friesen; Akila N Viswanathan
Journal:  Brachytherapy       Date:  2015-01-06       Impact factor: 2.362

2.  Quantifying clinical severity of physics errors in high-dose rate prostate brachytherapy using simulations.

Authors:  David Aramburu Nunez; Michael Trager; Joel Beaudry; Gilad N Cohen; Lawrence T Dauer; Daniel Gorovets; Nima Hassan Rezaeian; Marisa A Kollmeier; Brian Leong; Patrick McCann; Matthew Williamson; Michael J Zelefsky; Antonio L Damato
Journal:  Brachytherapy       Date:  2021-06-27       Impact factor: 2.441

3.  Automated calculation of point A coordinates for CT-based high-dose-rate brachytherapy of cervical cancer.

Authors:  Hyejoo Kang; Laura Padilla; Yasmin Hasan; Hania Al-Hallaq
Journal:  J Contemp Brachytherapy       Date:  2017-07-31

4.  Early detection of potential errors during patient treatment planning.

Authors:  Danielle Lack; Jian Liang; Lisa Benedetti; Cory Knill; Di Yan
Journal:  J Appl Clin Med Phys       Date:  2018-07-05       Impact factor: 2.102

5.  Custom-made micro applicators for high-dose-rate brachytherapy treatment of chronic psoriasis.

Authors:  Ivan M Buzurovic; Desmond A O'Farrell; Mandar S Bhagwat; Jorgen L Hansen; Thomas C Harris; Scott Friesen; Robert A Cormack; Phillip M Devlin
Journal:  J Contemp Brachytherapy       Date:  2017-06-13

6.  First experience of 192Ir source stuck event during high-dose-rate brachytherapy in Japan.

Authors:  Shinobu Kumagai; Norikazu Arai; Takeshi Takata; Daisuke Kon; Toshiya Saitoh; Hiroshi Oba; Shigeru Furui; Jun'ichi Kotoku; Kenshiro Shiraishi
Journal:  J Contemp Brachytherapy       Date:  2020-02-28
  6 in total

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