Literature DB >> 28951008

Patient-specific bolus for range shifter air gap reduction in intensity-modulated proton therapy of head-and-neck cancer studied with Monte Carlo based plan optimization.

Steven Michiels1, Ana Maria Barragán2, Kevin Souris2, Kenneth Poels3, Wouter Crijns3, John A Lee2, Edmond Sterpin4, Sandra Nuyts5, Karin Haustermans5, Tom Depuydt6.   

Abstract

BACKGROUND &
PURPOSE: Intensity-modulated proton therapy (IMPT) of superficial lesions requires pre-absorbing range shifter (RS) to deliver the more shallow spots. RS air gap minimization is important to avoid spot size degradation, but remains challenging in complex geometries such as in head-and-neck cancer (HNC). In this study, clinical endpoints were investigated for patient-specific bolus and for conventional RS solutions, making use of a Monte Carlo (MC) dose engine for IMPT optimization. METHODS AND MATERIALS: For 5 oropharyngeal cancer patients, IMPT spot maps were generated using beamlets calculated with MC. The plans were optimized for three different RS configurations: 3D printed on-skin bolus, snout- and nozzle-mounted RS. Organ-at-risk (OAR) doses and late toxicity probabilities were compared between all configuration-specific optimized plans.
RESULTS: The use of bolus reduced the mean dose to all OARs compared to snout and nozzle-mounted RS. The contralateral parotid gland and supraglottic larynx received on average 2.9Gy and 4.2Gy less dose compared to the snout RS. Bolus reduced the average probability for xerostomia by 3.0%. For dysphagia, bolus reduced the probability by 2.7%.
CONCLUSIONS: Quantification of the dosimetric advantage of patient-specific bolus shows significant reductions compared to conventional RS solutions for xerostomia and dysphagia probability. These results motivate the development of a patient-specific bolus solution in IMPT for HNC.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  3D printing; Head-and-neck cancer; IMPT; Oropharyngeal cancer; Proton therapy; Range shifting

Mesh:

Year:  2017        PMID: 28951008     DOI: 10.1016/j.radonc.2017.09.006

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


  6 in total

1.  Automated Knowledge-Based Intensity-Modulated Proton Planning: An International Multicenter Benchmarking Study.

Authors:  Alexander R Delaney; Lei Dong; Anthony Mascia; Wei Zou; Yongbin Zhang; Lingshu Yin; Sara Rosas; Jan Hrbacek; Antony J Lomax; Ben J Slotman; Max Dahele; Wilko F A R Verbakel
Journal:  Cancers (Basel)       Date:  2018-11-02       Impact factor: 6.639

2.  The potential of Gantry beamline large momentum acceptance for real time tumour tracking in pencil beam scanning proton therapy.

Authors:  Giovanni Fattori; Ye Zhang; David Meer; Damien Charles Weber; Antony John Lomax; Sairos Safai
Journal:  Sci Rep       Date:  2020-09-18       Impact factor: 4.379

3.  Reduction of superficial radiation dose with bolus in passive scattering proton beam therapy.

Authors:  Yeon-Joo Kim; Chankyu Kim; Se Byeong Lee; Jae-Sung Kim
Journal:  J Appl Clin Med Phys       Date:  2021-01-12       Impact factor: 2.102

4.  Using patient-specific bolus for pencil beam scanning proton treatment of periorbital disease.

Authors:  Minglei Kang; Shaakir Hasan; Robert H Press; Francis Yu; Mashal Abdo; Weijun Xiong; Jehee I Choi; Charles B Simone; Haibo Lin
Journal:  J Appl Clin Med Phys       Date:  2020-12-24       Impact factor: 2.102

5.  3D-printed bolus ensures the precise postmastectomy chest wall radiation therapy for breast cancer.

Authors:  Xiran Wang; Jianling Zhao; Zhongzheng Xiang; Xuetao Wang; Yuanyuan Zeng; Ting Luo; Xi Yan; Zhuang Zhang; Feng Wang; Lei Liu
Journal:  Front Oncol       Date:  2022-09-02       Impact factor: 5.738

6.  Improving 3D-printing of megavoltage X-rays radiotherapy bolus with surface-scanner.

Authors:  Giovanna Dipasquale; Alexis Poirier; Yannick Sprunger; Johannes Wilhelmus Edmond Uiterwijk; Raymond Miralbell
Journal:  Radiat Oncol       Date:  2018-10-19       Impact factor: 3.481

  6 in total

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