Literature DB >> 25387249

FoCa: a modular treatment planning system for proton radiotherapy with research and educational purposes.

D Sánchez-Parcerisa1, M Kondrla, A Shaindlin, A Carabe.   

Abstract

FoCa is an in-house modular treatment planning system, developed entirely in MATLAB, which includes forward dose calculation of proton radiotherapy plans in both active and passive modalities as well as a generic optimization suite for inverse treatment planning. The software has a dual education and research purpose. From the educational point of view, it can be an invaluable teaching tool for educating medical physicists, showing the insights of a treatment planning system from a well-known and widely accessible software platform. From the research point of view, its current and potential uses range from the fast calculation of any physical, radiobiological or clinical quantity in a patient CT geometry, to the development of new treatment modalities not yet available in commercial treatment planning systems. The physical models in FoCa were compared with the commissioning data from our institution and show an excellent agreement in depth dose distributions and longitudinal and transversal fluence profiles for both passive scattering and active scanning modalities. 3D dose distributions in phantom and patient geometries were compared with a commercial treatment planning system, yielding a gamma-index pass rate of above 94% (using FoCa's most accurate algorithm) for all cases considered. Finally, the inverse treatment planning suite was used to produce the first prototype of intensity-modulated, passive-scattered proton therapy, using 13 passive scattering proton fields and multi-leaf modulation to produce a concave dose distribution on a cylindrical solid water phantom without any field-specific compensator.

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Year:  2014        PMID: 25387249     DOI: 10.1088/0031-9155/59/23/7341

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


  4 in total

Review 1.  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

2.  In vivo production of fluorine-18 in a chicken egg tumor model of breast cancer for proton therapy range verification.

Authors:  Samuel España; Daniel Sánchez-Parcerisa; Paloma Bragado; Álvaro Gutiérrez-Uzquiza; Almudena Porras; Carolina Gutiérrez-Neira; Andrea Espinosa; Víctor V Onecha; Paula Ibáñez; Víctor Sánchez-Tembleque; José M Udías; Luis M Fraile
Journal:  Sci Rep       Date:  2022-04-30       Impact factor: 4.996

3.  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

4.  Fast robust dose calculation on GPU for high-precision 1H, 4He, 12C and 16O ion therapy: the FRoG platform.

Authors:  Stewart Mein; Kyungdon Choi; Benedikt Kopp; Thomas Tessonnier; Julia Bauer; Alfredo Ferrari; Thomas Haberer; Jürgen Debus; Amir Abdollahi; Andrea Mairani
Journal:  Sci Rep       Date:  2018-10-04       Impact factor: 4.379

  4 in total

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