Literature DB >> 25823447

Shortening delivery times of intensity modulated proton therapy by reducing proton energy layers during treatment plan optimization.

Steven van de Water1, Hanne M Kooy2, Ben J M Heijmen3, Mischa S Hoogeman3.   

Abstract

PURPOSE: To shorten delivery times of intensity modulated proton therapy by reducing the number of energy layers in the treatment plan. METHODS AND MATERIALS: We have developed an energy layer reduction method, which was implemented into our in-house-developed multicriteria treatment planning system "Erasmus-iCycle." The method consisted of 2 components: (1) minimizing the logarithm of the total spot weight per energy layer; and (2) iteratively excluding low-weighted energy layers. The method was benchmarked by comparing a robust "time-efficient plan" (with energy layer reduction) with a robust "standard clinical plan" (without energy layer reduction) for 5 oropharyngeal cases and 5 prostate cases. Both plans of each patient had equal robust plan quality, because the worst-case dose parameters of the standard clinical plan were used as dose constraints for the time-efficient plan. Worst-case robust optimization was performed, accounting for setup errors of 3 mm and range errors of 3% + 1 mm. We evaluated the number of energy layers and the expected delivery time per fraction, assuming 30 seconds per beam direction, 10 ms per spot, and 400 Giga-protons per minute. The energy switching time was varied from 0.1 to 5 seconds.
RESULTS: The number of energy layers was on average reduced by 45% (range, 30%-56%) for the oropharyngeal cases and by 28% (range, 25%-32%) for the prostate cases. When assuming 1, 2, or 5 seconds energy switching time, the average delivery time was shortened from 3.9 to 3.0 minutes (25%), 6.0 to 4.2 minutes (32%), or 12.3 to 7.7 minutes (38%) for the oropharyngeal cases, and from 3.4 to 2.9 minutes (16%), 5.2 to 4.2 minutes (20%), or 10.6 to 8.0 minutes (24%) for the prostate cases.
CONCLUSIONS: Delivery times of intensity modulated proton therapy can be reduced substantially without compromising robust plan quality. Shorter delivery times are likely to reduce treatment uncertainties and costs.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25823447     DOI: 10.1016/j.ijrobp.2015.01.031

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  13 in total

Review 1.  Treatment planning for proton therapy: what is needed in the next 10 years?

Authors:  Hakan Nystrom; Maria Fuglsang Jensen; Petra Witt Nystrom
Journal:  Br J Radiol       Date:  2019-08-07       Impact factor: 3.039

Review 2.  Adaptive proton therapy.

Authors:  Harald Paganetti; Pablo Botas; Gregory C Sharp; Brian Winey
Journal:  Phys Med Biol       Date:  2021-11-15       Impact factor: 3.609

3.  A novel energy layer optimization framework for spot-scanning proton arc therapy.

Authors:  Wenbo Gu; Dan Ruan; Qihui Lyu; Wei Zou; Lei Dong; Ke Sheng
Journal:  Med Phys       Date:  2020-03-13       Impact factor: 4.071

4.  Data for TROTS - The Radiotherapy Optimisation Test Set.

Authors:  Sebastiaan Breedveld; Ben Heijmen
Journal:  Data Brief       Date:  2017-04-01

5.  Robust contour propagation using deep learning and image registration for online adaptive proton therapy of prostate cancer.

Authors:  Mohamed S Elmahdy; Thyrza Jagt; Roel Th Zinkstok; Yuchuan Qiao; Rahil Shahzad; Hessam Sokooti; Sahar Yousefi; Luca Incrocci; C A M Marijnen; Mischa Hoogeman; Marius Staring
Journal:  Med Phys       Date:  2019-07-12       Impact factor: 4.071

Review 6.  Roadmap: proton therapy physics and biology.

Authors:  Harald Paganetti; Chris Beltran; Stefan Both; Lei Dong; Jacob Flanz; Keith Furutani; Clemens Grassberger; David R Grosshans; Antje-Christin Knopf; Johannes A Langendijk; Hakan Nystrom; Katia Parodi; Bas W Raaymakers; Christian Richter; Gabriel O Sawakuchi; Marco Schippers; Simona F Shaitelman; B K Kevin Teo; Jan Unkelbach; Patrick Wohlfahrt; Tony Lomax
Journal:  Phys Med Biol       Date:  2021-02-26       Impact factor: 4.174

Review 7.  Dual-Energy CT in Head and Neck Imaging.

Authors:  Elise D Roele; Veronique C M L Timmer; Lauretta A A Vaassen; Anna M J L van Kroonenburgh; A A Postma
Journal:  Curr Radiol Rep       Date:  2017-03-29

8.  Redefine the role of range shifter in treating bilateral head and neck cancer in the era of Intensity Modulated Proton Therapy.

Authors:  Xuanfeng Ding; Xiaoqiang Li; An Qin; Jun Zhou; Di Yan; Peter Chen; Chinnaiyan Prakash; Craig Stevens; Rohan Deraniyagala; Peyman Kabolizadeh
Journal:  J Appl Clin Med Phys       Date:  2018-07-16       Impact factor: 2.102

9.  Quantitative analysis of treatments using real-time image gated spot-scanning with synchrotron-based proton beam therapy system log data.

Authors:  Takaaki Yoshimura; Shinichi Shimizu; Takayuki Hashimoto; Kentaro Nishioka; Norio Katoh; Hiroshi Taguchi; Koichi Yasuda; Taeko Matsuura; Seishin Takao; Masaya Tamura; Sodai Tanaka; Yoichi M Ito; Yuto Matsuo; Hiroshi Tamura; Kenji Horita; Kikuo Umegaki; Hiroki Shirato
Journal:  J Appl Clin Med Phys       Date:  2020-11-05       Impact factor: 2.102

10.  Cost-Effectiveness Models of Proton Therapy for Head and Neck: Evaluating Quality and Methods to Date.

Authors:  Danmeng Huang; Steven J Frank; Vivek Verma; Nikhil G Thaker; Eric D Brooks; Matthew B Palmer; Ross F Harrison; Ashish A Deshmukh; Matthew S Ning
Journal:  Int J Part Ther       Date:  2021-06-25
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