Literature DB >> 32964474

Intensity-modulated proton therapy (IMPT) interplay effect evaluation of asymmetric breathing with simultaneous uncertainty considerations in patients with non-small cell lung cancer.

Jie Shan1, Yunze Yang1, Steven E Schild1, Thomas B Daniels1, William W Wong1, Mirek Fatyga1, Martin Bues1, Terence T Sio1, Wei Liu1.   

Abstract

PURPOSE: Intensity-modulated proton therapy (IMPT) is sensitive to uncertainties from patient setup and proton beam range, as well as interplay effect. In addition, respiratory motion may vary from cycle to cycle, and also from day to day. These uncertainties can severely degrade the original plan quality and potentially affect patient's outcome. In this work, we developed a new tool to comprehensively consider the impact of all these uncertainties and provide plan robustness evaluation under them.
METHODS: We developed a comprehensive plan robustness evaluation tool that considered both uncertainties from patient setup and proton beam range, as well as respiratory motion simultaneously. To mimic patients' respiratory motion, the time spent in each phase was randomly sampled based on patient-specific breathing pattern parameters as acquired during the four-dimensional (4D)-computed tomography (CT) simulation. Spots were then assigned to one specific phase according to the temporal relationship between spot delivery sequence and patients' respiratory motion. Dose in each phase was calculated by summing contributions from all the spots delivered in that phase. The final 4D dynamic dose was obtained by deforming all doses in each phase to the maximum exhalation phase. Three hundred (300) scenarios (10 different breathing patterns with 30 different setup and range uncertainty scenario combinations) were calculated for each plan. The dose-volume histograms (DVHs) band method was used to assess plan robustness. Benchmarking the tool as an application's example, we compared plan robustness under both three-dimensional (3D) and 4D robustly optimized IMPT plans for 10 nonrandomly selected patients with non-small cell lung cancer.
RESULTS: The developed comprehensive plan robustness tool had been successfully applied to compare the plan robustness between 3D and 4D robustly optimized IMPT plans for 10 lung cancer patients. In the presence of interplay effect with uncertainties considered simultaneously, 4D robustly optimized plans provided significantly better CTV coverage (D95% , P = 0.002), CTV homogeneity (D5% -D95% , P = 0.002) with less target hot spots (D5% , P = 0.002), and target coverage robustness (CTV D95% bandwidth, P = 0.004) compared to 3D robustly optimized plans. Superior dose sparing of normal lung (lung Dmean , P = 0.020) favoring 4D plans and comparable normal tissue sparing including esophagus, heart, and spinal cord for both 3D and 4D plans were observed. The calculation time for all patients included in this study was 11.4 ± 2.6 min.
CONCLUSION: A comprehensive plan robustness evaluation tool was successfully developed and benchmarked for plan robustness evaluation in the presence of interplay effect, setup and range uncertainties. The very high efficiency of this tool marks its clinical adaptation, highly practical and versatile nature, including possible real-time intra-fractional interplay effect evaluation as a potential application for future use.
© 2020 American Association of Physicists in Medicine.

Entities:  

Keywords:  Intensity-modulated proton therapy; Interplay effect; asymmetric breathing; non-small cell lung cancer; robustness evaluation

Mesh:

Year:  2020        PMID: 32964474      PMCID: PMC7722083          DOI: 10.1002/mp.14491

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


  81 in total

1.  Influence of robust optimization in intensity-modulated proton therapy with different dose delivery techniques.

Authors:  Wei Liu; Yupeng Li; Xiaoqiang Li; Wenhua Cao; Xiaodong Zhang
Journal:  Med Phys       Date:  2012-06       Impact factor: 4.071

2.  Incorporating uncertainties in respiratory motion into 4D treatment plan optimization.

Authors:  Emily Heath; Jan Unkelbach; Uwe Oelfke
Journal:  Med Phys       Date:  2009-07       Impact factor: 4.071

3.  A Monte-Carlo-based and GPU-accelerated 4D-dose calculator for a pencil beam scanning proton therapy system.

Authors:  Mark D Pepin; Erik Tryggestad; Hok Seum Wan Chan Tseung; Jedediah E Johnson; Michael G Herman; Chris Beltran
Journal:  Med Phys       Date:  2018-10-31       Impact factor: 4.071

4.  Exploratory Study of 4D versus 3D Robust Optimization in Intensity Modulated Proton Therapy for Lung Cancer.

Authors:  Wei Liu; Steven E Schild; Joe Y Chang; Zhongxing Liao; Yu-Hui Chang; Zhifei Wen; Jiajian Shen; Joshua B Stoker; Xiaoning Ding; Yanle Hu; Narayan Sahoo; Michael G Herman; Carlos Vargas; Sameer Keole; William Wong; Martin Bues
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-11-10       Impact factor: 7.038

5.  Towards fast and robust 4D optimization for moving tumors with scanned proton therapy.

Authors:  Gregory Buti; Kevin Souris; Ana Maria Barragán Montero; John Aldo Lee; Edmond Sterpin
Journal:  Med Phys       Date:  2019-10-29       Impact factor: 4.071

6.  Motion interplay as a function of patient parameters and spot size in spot scanning proton therapy for lung cancer.

Authors:  Clemens Grassberger; Stephen Dowdell; Antony Lomax; Greg Sharp; James Shackleford; Noah Choi; Henning Willers; Harald Paganetti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-02-22       Impact factor: 7.038

7.  Potentials of robust intensity modulated scanning proton plans for locally advanced lung cancer in comparison to intensity modulated photon plans.

Authors:  Martin Stuschke; Andreas Kaiser; Christoph Pöttgen; Wolfgang Lübcke; Jonathan Farr
Journal:  Radiother Oncol       Date:  2012-05-03       Impact factor: 6.280

8.  Mixed integer programming with dose-volume constraints in intensity-modulated proton therapy.

Authors:  Pengfei Zhang; Neng Fan; Jie Shan; Steven E Schild; Martin Bues; Wei Liu
Journal:  J Appl Clin Med Phys       Date:  2017-07-06       Impact factor: 2.102

9.  Exploratory study of the association of volumetric modulated arc therapy (VMAT) plan robustness with local failure in head and neck cancer.

Authors:  Wei Liu; Samir H Patel; Daniel P Harrington; Yanle Hu; Xiaoning Ding; Jiajian Shen; Michele Y Halyard; Steven E Schild; William W Wong; Gary E Ezzell; Martin Bues
Journal:  J Appl Clin Med Phys       Date:  2017-05-14       Impact factor: 2.102

10.  Dosimetric comparison of distal esophageal carcinoma plans for patients treated with small-spot intensity-modulated proton versus volumetric-modulated arc therapies.

Authors:  Chenbin Liu; Ronik S Bhangoo; Terence T Sio; Nathan Y Yu; Jie Shan; Jennifer S Chiang; Julia X Ding; William G Rule; Shawn Korte; Pedro Lara; Xiaoning Ding; Martin Bues; Yanle Hu; Todd DeWees; Jonathan B Ashman; Wei Liu
Journal:  J Appl Clin Med Phys       Date:  2019-05-21       Impact factor: 2.102

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  1 in total

1.  A novel bone suppression algorithm in intensity-based 2D/3D image registration for real-time tumor motion monitoring: Development and phantom-based validation.

Authors:  Ingo Gulyas; Petra Trnkova; Barbara Knäusl; Joachim Widder; Dietmar Georg; Andreas Renner
Journal:  Med Phys       Date:  2022-06-06       Impact factor: 4.506

  1 in total

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