Literature DB >> 31778315

Quantification of plan robustness against different uncertainty sources for classical and anatomical robust optimized treatment plans in head and neck cancer proton therapy.

Macarena Cubillos-Mesías1, Esther G C Troost1,2,3,4,5, Fabian Lohaus1,3,4, Linda Agolli3, Maximilian Rehm3, Christian Richter1,2,3,4, Kristin Stützer1,2.   

Abstract

OBJECTIVE: Classical robust optimization (cRO) in intensity-modulated proton therapy (IMPT) considers isocenter position and particle range uncertainties; anatomical robust optimization (aRO) aims to consider additional non-rigid positioning variations. This work compares the influence of different uncertainty sources on the robustness of cRO and aRO IMPT plans for head and neck squamous cell carcinoma (HNSCC).
METHODS: Two IMPT plans were optimized for 20 HNSCC patients who received weekly control CTs (cCT): cRO, using solely the planning CT, and aRO, including 2 additional cCTs. The robustness of the plans in terms of clinical target volume (CTV) coverage and organ at risk (OAR) sparing was analyzed considering stepwise the influence of (1) non-rigid anatomical variations given by the weekly cCT, (2) with fraction-wise added rigid random setup errors and (3) additional systematic proton range uncertainties.
RESULTS: cRO plans presented significantly higher nominal CTV coverage but are outperformed by aRO plans when considering non-rigid anatomical variations only, as cRO and aRO plans presented a median target coverage (D98%) decrease for the low-risk/high-risk CTV of 1.8/1.1 percentage points (pp) and -0.2 pp/-0.3 pp, respectively. Setup and range uncertainties had larger influence on cRO CTV coverage, but led to similar OAR dose changes in both plans. Considering all error sources, 10/2 cRO/aRO patients missed the CTV coverage and a limited number exceeded some OAR constraints in both plans.
CONCLUSION: Non-rigid anatomical variations are mainly responsible for critical target coverage loss of cRO plans, whereas the aRO approach was robust against such variations. Both plans provide similar robustness of OAR parameters. ADVANCES IN KNOWLEDGE: The influence of different uncertainty sources was quantified for robust IMPT HNSCC plans.

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Year:  2019        PMID: 31778315      PMCID: PMC7066968          DOI: 10.1259/bjr.20190573

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  28 in total

1.  Robust optimization of intensity modulated proton therapy.

Authors:  Wei Liu; Xiaodong Zhang; Yupeng Li; Radhe Mohan
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

2.  The ANACONDA algorithm for deformable image registration in radiotherapy.

Authors:  Ola Weistrand; Stina Svensson
Journal:  Med Phys       Date:  2015-01       Impact factor: 4.071

3.  Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No. 132.

Authors:  Kristy K Brock; Sasa Mutic; Todd R McNutt; Hua Li; Marc L Kessler
Journal:  Med Phys       Date:  2017-05-23       Impact factor: 4.071

4.  Evaluation of a deformable registration algorithm for subsequent lung computed tomography imaging during radiochemotherapy.

Authors:  Kristin Stützer; Robert Haase; Fabian Lohaus; Steffen Barczyk; Florian Exner; Steffen Löck; Jan Rühaak; Bianca Lassen-Schmidt; Dörte Corr; Christian Richter
Journal:  Med Phys       Date:  2016-09       Impact factor: 4.071

5.  Anatomical robust optimization to account for nasal cavity filling variation during intensity-modulated proton therapy: a comparison with conventional and adaptive planning strategies.

Authors:  Steven van de Water; Francesca Albertini; Damien C Weber; Ben J M Heijmen; Mischa S Hoogeman; Antony J Lomax
Journal:  Phys Med Biol       Date:  2018-01-11       Impact factor: 3.609

6.  A treatment planning comparison of 3D conformal therapy, intensity modulated photon therapy and proton therapy for treatment of advanced head and neck tumours.

Authors:  L Cozzi; A Fogliata; A Lomax; A Bolsi
Journal:  Radiother Oncol       Date:  2001-12       Impact factor: 6.280

7.  Robust optimization in intensity-modulated proton therapy to account for anatomy changes in lung cancer patients.

Authors:  Heng Li; Xiaodong Zhang; Peter Park; Wei Liu; Joe Chang; Zhongxing Liao; Steve Frank; Yupeng Li; Falk Poenisch; Radhe Mohan; Michael Gillin; Ronald Zhu
Journal:  Radiother Oncol       Date:  2015-02-20       Impact factor: 6.280

8.  Integral dose in three-dimensional conformal radiotherapy, intensity-modulated radiotherapy and helical tomotherapy.

Authors:  R Yang; S Xu; W Jiang; C Xie; J Wang
Journal:  Clin Oncol (R Coll Radiol)       Date:  2009-08-27       Impact factor: 4.126

9.  Statistical assessment of proton treatment plans under setup and range uncertainties.

Authors:  Peter C Park; Joey P Cheung; X Ronald Zhu; Andrew K Lee; Narayan Sahoo; Susan L Tucker; Wei Liu; Heng Li; Radhe Mohan; Laurence E Court; Lei Dong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-05-18       Impact factor: 7.038

10.  Incorporating the effect of fractionation in the evaluation of proton plan robustness to setup errors.

Authors:  Matthew Lowe; Francesca Albertini; Adam Aitkenhead; Antony J Lomax; Ranald I MacKay
Journal:  Phys Med Biol       Date:  2015-12-16       Impact factor: 3.609

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  2 in total

1.  Proton therapy special feature: introductory editorial.

Authors:  Kathryn D Held; Antony J Lomax; Esther G C Troost
Journal:  Br J Radiol       Date:  2020-03       Impact factor: 3.039

2.  Anatomic changes in head and neck intensity-modulated proton therapy: Comparison between robust optimization and online adaptation.

Authors:  Arthur Lalonde; Mislav Bobić; Brian Winey; Joost Verburg; Gregory C Sharp; Harald Paganetti
Journal:  Radiother Oncol       Date:  2021-03-17       Impact factor: 6.901

  2 in total

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