Bruce Faddegon1, José Ramos-Méndez2, Jan Schuemann3, Aimee McNamara3, Jungwook Shin3, Joseph Perl4, Harald Paganetti3. 1. Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA. Electronic address: bruce.faddegon@ucsf.edu. 2. Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA. 3. Massachusetts General Hospital and Harvard Medical School, Boston, USA. 4. SLAC National Accelerator Laboratory, Menlo Park, USA.
Abstract
PURPOSE: This paper covers recent developments and applications of the TOPAS TOol for PArticle Simulation and presents the approaches used to disseminate TOPAS. MATERIALS AND METHODS: Fundamental understanding of radiotherapy and imaging is greatly facilitated through accurate and detailed simulation of the passage of ionizing radiation through apparatus and into a patient using Monte Carlo (MC). TOPAS brings Geant4, a reliable, experimentally validated MC tool mainly developed for high energy physics, within easy reach of medical physicists, radiobiologists and clinicians. Requiring no programming knowledge, TOPAS provides all of the flexibility of Geant4. RESULTS: After 5 years of development followed by its initial release, TOPAS was subsequently expanded from its focus on proton therapy physics to incorporate radiobiology modeling. Next, in 2018, the developers expanded their user support and code maintenance as well as the scope of TOPAS towards supporting X-ray and electron therapy and medical imaging. Improvements have been achieved in user enhancement through software engineering and a graphical user interface, calculational efficiency, validation through experimental benchmarks and QA measurements, and either newly available or recently published applications. A large and rapidly increasing user base demonstrates success in our approach to dissemination of this uniquely accessible and flexible MC research tool. CONCLUSIONS: The TOPAS developers continue to make strides in addressing the needs of the medical community in applications of ionizing radiation to medicine, creating the only fully integrated platform for four-dimensional simulation of all forms of radiotherapy and imaging with ionizing radiation, with a design that promotes inter-institutional collaboration.
PURPOSE: This paper covers recent developments and applications of the TOPAS TOol for PArticle Simulation and presents the approaches used to disseminate TOPAS. MATERIALS AND METHODS: Fundamental understanding of radiotherapy and imaging is greatly facilitated through accurate and detailed simulation of the passage of ionizing radiation through apparatus and into a patient using Monte Carlo (MC). TOPAS brings Geant4, a reliable, experimentally validated MC tool mainly developed for high energy physics, within easy reach of medical physicists, radiobiologists and clinicians. Requiring no programming knowledge, TOPAS provides all of the flexibility of Geant4. RESULTS: After 5 years of development followed by its initial release, TOPAS was subsequently expanded from its focus on proton therapy physics to incorporate radiobiology modeling. Next, in 2018, the developers expanded their user support and code maintenance as well as the scope of TOPAS towards supporting X-ray and electron therapy and medical imaging. Improvements have been achieved in user enhancement through software engineering and a graphical user interface, calculational efficiency, validation through experimental benchmarks and QA measurements, and either newly available or recently published applications. A large and rapidly increasing user base demonstrates success in our approach to dissemination of this uniquely accessible and flexible MC research tool. CONCLUSIONS: The TOPAS developers continue to make strides in addressing the needs of the medical community in applications of ionizing radiation to medicine, creating the only fully integrated platform for four-dimensional simulation of all forms of radiotherapy and imaging with ionizing radiation, with a design that promotes inter-institutional collaboration.
Authors: H Afsharpour; G Landry; M D'Amours; S Enger; B Reniers; E Poon; J-F Carrier; F Verhaegen; L Beaulieu Journal: Phys Med Biol Date: 2012-05-09 Impact factor: 3.609
Authors: Lennart Volz; Pierluigi Piersimoni; Robert P Johnson; Vladimir A Bashkirov; Reinhard W Schulte; Joao Seco Journal: Phys Med Biol Date: 2019-08-01 Impact factor: 3.609
Authors: Shirin A Enger; Guillaume Landry; Michel D'Amours; Frank Verhaegen; Luc Beaulieu; Makoto Asai; Joseph Perl Journal: Phys Med Biol Date: 2012-09-14 Impact factor: 3.609
Authors: Tracy S A Underwood; Clemens Grassberger; Rhedise Bass; Shannon M MacDonald; Nandini M Meyersohn; Beow Y Yeap; Rachel B Jimenez; Harald Paganetti Journal: Int J Radiat Oncol Biol Phys Date: 2018-04-17 Impact factor: 7.038
Authors: J Schuemann; A L McNamara; J Ramos-Méndez; J Perl; K D Held; H Paganetti; S Incerti; B Faddegon Journal: Radiat Res Date: 2019-01-04 Impact factor: 2.841
Authors: Sheng Huang; Kevin Souris; Siyang Li; Minglei Kang; Ana Maria Barragan Montero; Guillaume Janssens; Alexander Lin; Elizabeth Garver; Christopher Ainsley; Paige Taylor; Ying Xiao; Liyong Lin Journal: Med Phys Date: 2018-10-26 Impact factor: 4.071
Authors: Kyoungtae Lee; Jessica Scholey; Eric B Norman; Inder K Daftari; Kavita K Mishra; Bruce A Faddegon; Michel M Maharbiz; Mekhail Anwar Journal: IEEE J Solid-State Circuits Date: 2020-09-23 Impact factor: 5.013
Authors: Blake R Smith; Nicholas P Nelson; Theodore J Geoghegan; Kaustubh A Patwardhan; Patrick M Hill; Jen Yu; Alonso N Gutiérrez; Bryan G Allen; Daniel E Hyer Journal: Med Phys Date: 2022-02-21 Impact factor: 4.071
Authors: Alejandro Bertolet; Eric Wehrenberg-Klee; Mislav Bobić; Clemens Grassberger; Joseph Perl; Harald Paganetti; Jan Schuemann Journal: Phys Med Biol Date: 2021-12-29 Impact factor: 3.609
Authors: Don F DeJongh; Ethan A DeJongh; Victor Rykalin; Greg DeFillippo; Mark Pankuch; Andrew W Best; George Coutrakon; Kirk L Duffin; Nicholas T Karonis; Caesar E Ordoñez; Christina Sarosiek; Reinhard W Schulte; John R Winans; Alec M Block; Courtney L Hentz; James S Welsh Journal: Med Phys Date: 2021-11-18 Impact factor: 4.071
Authors: Alejandro Bertolet; José Ramos-Méndez; Aimee McNamara; Dohyeon Yoo; Samuel Ingram; Nicholas Henthorn; John-William Warmenhoven; Bruce Faddegon; Michael Merchant; Stephen J McMahon; Harald Paganetti; Jan Schuemann Journal: Radiat Res Date: 2022-09-01 Impact factor: 3.372
Authors: J Ramos-Méndez; J A LaVerne; N Domínguez-Kondo; J Milligan; V Štěpán; K Stefanová; Y Perrot; C Villagrasa; W-G Shin; S Incerti; A McNamara; H Paganetti; J Perl; J Schuemann; B Faddegon Journal: Phys Med Biol Date: 2021-09-03 Impact factor: 4.174
Authors: C Norman Coleman; Jeffrey C Buchsbaum; Pataje G S Prasanna; Jacek Capala; Ceferino Obcemea; Michael G Espey; Mansoor M Ahmed; Julie A Hong; Bhadrasain Vikram Journal: JNCI Cancer Spectr Date: 2021-05-17