Literature DB >> 27740944

Range optimization for mono- and bi-energetic proton modulated arc therapy with pencil beam scanning.

Daniel Sanchez-Parcerisa1, Maura Kirk, Marcus Fager, Brendan Burgdorf, Malorie Stowe, Tim Solberg, Alejandro Carabe.   

Abstract

The development of rotational proton therapy plans based on a pencil-beam-scanning (PBS) system has been limited, among several other factors, by the energy-switching time between layers, a system-dependent parameter that ranges between a fraction of a second and several seconds. We are investigating mono- and bi-energetic rotational proton modulated arc therapy (PMAT) solutions that would not be affected by long energy switching times. In this context, a systematic selection of the optimal proton energy for each arc is vital. We present a treatment planning comparison of four different range selection methods, analyzing the dosimetric outcomes of the resulting treatment plans created with the ranges obtained. Given the patient geometry and arc definition (gantry and couch trajectories, snout elevation) our in-house treatment planning system (TPS) FoCa was used to find the maximum, medial and minimum water-equivalent thicknesses (WETs) of the target viewed from all possible field orientations. Optimal ranges were subsequently determined using four methods: (1) by dividing the max/min WET interval into equal steps, (2) by taking the average target midpoints from each field, (3) by taking the average WET of all voxels from all field orientations, and (4) by minimizing the fraction of the target which cannot be reached from any of the available angles. After the range (for mono-energetic plans) or ranges (for bi-energetic plans) were selected, the commercial clinical TPS in use in our institution (Varian Eclipse™) was used to produce the PMAT plans using multifield optimization. Linear energy transfer (LET) distributions of all plans were also calculated using FoCa and compared among the different methods. Mono- and bi-energetic PMAT plans, composed of a single 180° arc, were created for two patient geometries: a C-shaped target located in the mediastinal area of a thoracic tissue-equivalent phantom and a small brain tumor located directly above the brainstem. All plans were optimized using the same procedure to (1) achieve target coverage, (2) reduce dose to OAR and (3) limit dose hot spots in the target. Final outcomes were compared in terms of the resulting dose and LET distributions. Data shows little significant differences among the four studied methods, with superior results obtained with mono-energetic plans. A streamlined systematic method has been implemented in an in-house TPS to find the optimal range to maximize target coverage with rotational mono- or bi-energetic PBS rotational plans by minimizing the fraction of the target that cannot be reached by any direction.

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Mesh:

Year:  2016        PMID: 27740944     DOI: 10.1088/0031-9155/61/21/N565

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  7 in total

Review 1.  Proton relative biological effectiveness (RBE): a multiscale problem.

Authors:  Tracy Sa Underwood; Stephen J McMahon
Journal:  Br J Radiol       Date:  2018-07-26       Impact factor: 3.039

Review 2.  Is there a role for arcing techniques in proton therapy?

Authors:  Alejandro Carabe-Fernandez; Alejandro Bertolet-Reina; Ilias Karagounis; Kiet Huynh; Roger G Dale
Journal:  Br J Radiol       Date:  2020-01-03       Impact factor: 3.039

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.  Spot-Scanning Hadron Arc (SHArc) Therapy: A Study With Light and Heavy Ions.

Authors:  Stewart Mein; Thomas Tessonnier; Benedikt Kopp; Semi Harrabi; Amir Abdollahi; Jürgen Debus; Thomas Haberer; Andrea Mairani
Journal:  Adv Radiat Oncol       Date:  2021-02-04

Review 5.  Biological and Mechanical Synergies to Deal With Proton Therapy Pitfalls: Minibeams, FLASH, Arcs, and Gantryless Rooms.

Authors:  Alejandro Mazal; Juan Antonio Vera Sanchez; Daniel Sanchez-Parcerisa; Jose Manuel Udias; Samuel España; Victor Sanchez-Tembleque; Luis Mario Fraile; Paloma Bragado; Alvaro Gutierrez-Uzquiza; Nuria Gordillo; Gaston Garcia; Juan Castro Novais; Juan Maria Perez Moreno; Lina Mayorga Ortiz; Amaia Ilundain Idoate; Marta Cremades Sendino; Carme Ares; Raymond Miralbell; Niek Schreuder
Journal:  Front Oncol       Date:  2021-01-21       Impact factor: 6.244

6.  Teaching treatment planning for protons with educational open-source software: experience with FoCa and matRad.

Authors:  Daniel Sanchez-Parcerisa; Jose Udías
Journal:  J Appl Clin Med Phys       Date:  2018-05-12       Impact factor: 2.102

Review 7.  Future Developments in Charged Particle Therapy: Improving Beam Delivery for Efficiency and Efficacy.

Authors:  Jacinta Yap; Andrea De Franco; Suzie Sheehy
Journal:  Front Oncol       Date:  2021-12-09       Impact factor: 5.738

  7 in total

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