Literature DB >> 32542711

Linear energy transfer weighted beam orientation optimization for intensity-modulated proton therapy.

Wenbo Gu1, Dan Ruan1, Wei Zou2, Lei Dong2, Ke Sheng1.   

Abstract

PURPOSE: In intensity-modulated proton therapy (IMPT), unaccounted-for variation in biological effectiveness contributes to the discrepancy between the constant relative biological effectiveness (RBE) model prediction and experimental observation. It is desirable to incorporate biological doses in treatment planning to improve modeling accuracy and consequently achieve a higher therapeutic ratio. This study addresses this demand by developing a method to incorporate linear energy transfer (LET) into beam orientation optimization (BOO).
METHODS: Instead of RBE-weighted dose, this LET weighted BOO (LETwBOO) framework uses the dose and LET product (LET  ×  D) as the biological surrogate. The problem is formulated with a physical dose fidelity term, a LET  ×  D constraint term, and a group sparsity term. The LET  ×  D of organs at risks is penalized for minimizing the biological effect while maintaining the physical dose objectives. Group sparsity is used to reduce the number of active beams from 600-800 non-coplanar candidate beams to between 2 and 4. This LETwBOO method was tested on three skull base tumor (SBT) patients and three bilateral head-and-neck (H&N) patients. The LETwBOO plans were compared with IMPT plans using manually selected beams with only physical dose constraint (MAN) and the initial MAN plan reoptimized with additional LET  ×  D constraint (LETwMAN).
RESULTS: The LETwBOO plans show superior physical dose and LET  ×  D sparing. On average, the [mean, maximal] doses of organs at risks (OARs) in LETwBOO are reduced by [2.85, 4.6] GyRBE from the MAN plans in the SBT cases and reduced by [0.9, 2.5] GyRBE in the H&N cases, while LETwMAN is comparable to MAN. cLET × Ds of PTVs are comparable in LETwBOO and LETwMAN, where c is a scaling factor of 0.04 μm/keV. On average, in the SBT cases, LETwBOO reduces the OAR [mean, maximal] cLET × D by [1.1, 2.9] Gy from the MAN plans, compared to the reduction by LETwMAN from MAN of [0.7, 1.7] Gy. In the H&N cases, LETwBOO reduces the OAR [mean, maximal] cLET × D by [0.8, 2.6] Gy from the MAN plans, compared to the reduction by LETwMAN from MAN of [0.3, 1.2] Gy.
CONCLUSION: We developed a novel LET weighted BOO method for IMPT to generate plans with improved physical and biological OAR sparing compared with the plans unaccounted for biological effects from BOO.
© 2020 American Association of Physicists in Medicine.

Entities:  

Keywords:  RBE; intensity modulation; linear energy transfer; optimization; proton therapy; spot scanning

Mesh:

Year:  2020        PMID: 32542711      PMCID: PMC8216041          DOI: 10.1002/mp.14329

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


  46 in total

1.  Linear energy transfer painting with proton therapy: a means of reducing radiation doses with equivalent clinical effectiveness.

Authors:  Marcus Fager; Iuliana Toma-Dasu; Maura Kirk; Derek Dolney; Eric S Diffenderfer; Neha Vapiwala; Alejandro Carabe
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-04-01       Impact factor: 7.038

2.  Treatment planning of intensity modulated composite particle therapy with dose and linear energy transfer optimization.

Authors:  Taku Inaniwa; Nobuyuki Kanematsu; Koji Noda; Tadashi Kamada
Journal:  Phys Med Biol       Date:  2017-03-23       Impact factor: 3.609

3.  Development of the open-source dose calculation and optimization toolkit matRad.

Authors:  Hans-Peter Wieser; Eduardo Cisternas; Niklas Wahl; Silke Ulrich; Alexander Stadler; Henning Mescher; Lucas-Raphael Müller; Thomas Klinge; Hubert Gabrys; Lucas Burigo; Andrea Mairani; Swantje Ecker; Benjamin Ackermann; Malte Ellerbrock; Katia Parodi; Oliver Jäkel; Mark Bangert
Journal:  Med Phys       Date:  2017-05-12       Impact factor: 4.071

4.  Linear energy transfer incorporated intensity modulated proton therapy optimization.

Authors:  Wenhua Cao; Azin Khabazian; Pablo P Yepes; Gino Lim; Falk Poenisch; David R Grosshans; Radhe Mohan
Journal:  Phys Med Biol       Date:  2017-12-19       Impact factor: 3.609

5.  Robust beam orientation optimization for intensity-modulated proton therapy.

Authors:  Wenbo Gu; Ryan Neph; Dan Ruan; Wei Zou; Lei Dong; Ke Sheng
Journal:  Med Phys       Date:  2019-06-26       Impact factor: 4.071

6.  Linear energy transfer-guided optimization in intensity modulated proton therapy: feasibility study and clinical potential.

Authors:  Drosoula Giantsoudi; Clemens Grassberger; David Craft; Andrzej Niemierko; Alexei Trofimov; Harald Paganetti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-06-19       Impact factor: 7.038

7.  Variations in linear energy transfer within clinical proton therapy fields and the potential for biological treatment planning.

Authors:  Clemens Grassberger; Alexei Trofimov; Anthony Lomax; Harald Paganetti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-12-14       Impact factor: 7.038

8.  Validation of a GPU-based Monte Carlo code (gPMC) for proton radiation therapy: clinical cases study.

Authors:  Drosoula Giantsoudi; Jan Schuemann; Xun Jia; Stephen Dowdell; Steve Jiang; Harald Paganetti
Journal:  Phys Med Biol       Date:  2015-02-26       Impact factor: 3.609

9.  A phenomenological relative biological effectiveness (RBE) model for proton therapy based on all published in vitro cell survival data.

Authors:  Aimee L McNamara; Jan Schuemann; Harald Paganetti
Journal:  Phys Med Biol       Date:  2015-10-13       Impact factor: 3.609

10.  Robust optimization to reduce the impact of biological effect variation from physical uncertainties in intensity-modulated proton therapy.

Authors:  Xuemin Bai; Gino Lim; David Grosshans; Radhe Mohan; Wenhua Cao
Journal:  Phys Med Biol       Date:  2019-01-08       Impact factor: 4.174

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  2 in total

1.  A Review of Proton Therapy - Current Status and Future Directions.

Authors:  Radhe Mohan
Journal:  Precis Radiat Oncol       Date:  2022-04-27

2.  How can we consider variable RBE and LETd prediction during clinical practice? A pediatric case report at the Normandy Proton Therapy Centre using an independent dose engine.

Authors:  Stewart Mein; Benedikt Kopp; Anthony Vela; Pauline Dutheil; Paul Lesueur; Dinu Stefan; Jürgen Debus; Thomas Haberer; Amir Abdollahi; Andrea Mairani; Thomas Tessonnier
Journal:  Radiat Oncol       Date:  2022-02-04       Impact factor: 3.481

  2 in total

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