Literature DB >> 24100147

Adaptive plan selection vs. re-optimisation in radiotherapy for bladder cancer: a dose accumulation comparison.

Anne Vestergaard1, Ludvig Paul Muren, Jimmi Søndergaard, Ulrik Vindelev Elstrøm, Morten Høyer, Jørgen B Petersen.   

Abstract

PURPOSE: Patients with urinary bladder cancer are obvious candidates for adaptive radiotherapy (ART) due to large inter-fractional variation in bladder volumes. In this study we have compared the normal tissue sparing potential of two ART strategies: daily plan selection (PlanSelect) and daily plan re-optimisation (ReOpt).
MATERIALS AND METHODS: Seven patients with bladder cancer were included in the study. For the PlanSelect strategy, a patient-specific library of three plans was generated, and the most suitable plan based on the pre-treatment cone beam CT (CBCT) was selected. For the daily ReOpt strategy, plans were re-optimised based on the CBCT from each daily fraction. Bladder contours were propagated to the CBCT scan using deformable image registration (DIR). Accumulated dose distributions for the ART strategies as well as the non-adaptive RT were calculated.
RESULTS: A considerable sparing of normal tissue was achieved with both ART approaches, with ReOpt being the superior technique. Compared to non-adaptive RT, the volume receiving more than 57 Gy (corresponding to 95% of the prescribed dose) was reduced to 66% (range 48-100%) for PlanSelect and to 41% (range 33-50%) for ReOpt.
CONCLUSION: This study demonstrated a considerable normal tissue sparing potential of ART for bladder irradiation, with clearly superior results by daily adaptive re-optimisation.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Adaptive radiotheraphy; Bladder cancer; Dose accumulation; Plan-of-the-day; Re-optimisation

Mesh:

Year:  2013        PMID: 24100147     DOI: 10.1016/j.radonc.2013.08.045

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


  13 in total

1.  Radiotherapy in muscle-invasive bladder cancer: the latest research progress and clinical application.

Authors:  Shuo Zhang; Yong-Hua Yu; Yong Zhang; Wei Qu; Jia Li
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2.  Reconstructing cone-beam CT with spatially varying qualities for adaptive radiotherapy: a proof-of-principle study.

Authors:  Wenting Lu; Hao Yan; Xuejun Gu; Zhen Tian; Ouyang Luo; Liu Yang; Linghong Zhou; Laura Cervino; Jing Wang; Steve Jiang; Xun Jia
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3.  Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer.

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Journal:  Radiother Oncol       Date:  2022-02-18       Impact factor: 6.901

Review 4.  [Planning target volume : Management of uncertainties, immobilization, image guided and adaptive radiation therapy].

Authors:  A Schwahofer; O Jäkel
Journal:  Radiologe       Date:  2018-08       Impact factor: 0.635

5.  Evaluation of the performance of deformable image registration between planning CT and CBCT images for the pelvic region: comparison between hybrid and intensity-based DIR.

Authors:  Yoshiki Takayama; Noriyuki Kadoya; Takaya Yamamoto; Kengo Ito; Mizuki Chiba; Kousei Fujiwara; Yuya Miyasaka; Suguru Dobashi; Kiyokazu Sato; Ken Takeda; Keiichi Jingu
Journal:  J Radiat Res       Date:  2017-07-01       Impact factor: 2.724

6.  How much margin do we need for pelvic lymph nodes irradiation in the era of IGRT?

Authors:  Zhikai Liu; Xia Liu; Fuquan Zhang; Ke Hu
Journal:  J Cancer       Date:  2018-09-08       Impact factor: 4.207

Review 7.  Adaptive radiation therapy for bladder cancer: a review of adaptive techniques used in clinical practice.

Authors:  Awet Z Kibrom; Kellie A Knight
Journal:  J Med Radiat Sci       Date:  2015-10-06

8.  Comparison of CT number calibration techniques for CBCT-based dose calculation.

Authors:  Alex Dunlop; Dualta McQuaid; Simeon Nill; Julia Murray; Gavin Poludniowski; Vibeke N Hansen; Shreerang Bhide; Christopher Nutting; Kevin Harrington; Kate Newbold; Uwe Oelfke
Journal:  Strahlenther Onkol       Date:  2015-09-24       Impact factor: 3.621

9.  Online daily assessment of dose change in head and neck radiotherapy without dose-recalculation.

Authors:  Jason R Vickress; Jerry Battista; Rob Barnett; Slav Yartsev
Journal:  J Appl Clin Med Phys       Date:  2018-08-07       Impact factor: 2.102

10.  Feasibility of magnetic resonance guided radiotherapy for the treatment of bladder cancer.

Authors:  A Hunt; I Hanson; A Dunlop; H Barnes; L Bower; J Chick; C Cruickshank; E Hall; T Herbert; R Lawes; D McQuaid; H McNair; A Mitchell; J Mohajer; T Morgan; U Oelfke; G Smith; S Nill; R Huddart; S Hafeez
Journal:  Clin Transl Radiat Oncol       Date:  2020-09-11
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