Evidence map›Paper›PMID 32247964›Full record

ArticlePhysica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)2020

The TOPAS tool for particle simulation, a Monte Carlo simulation tool for physics, biology and clinical research.

Bruce Faddegon, José Ramos-Méndez, Jan Schuemann, Aimee McNamara, Jungwook Shin, Joseph Perl, Harald Paganetti

Abstract read
In one paragraph

Article in Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

115 citing papers in PubMed.

  1. First-in-Human Study of the Carbohydrate NanoparticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
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  5. IntratumoralACS omega · 2026
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  11. Volumetric FLASH dosimetryPhysics in medicine and biology · 2026
    Article
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55 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Bruce FaddegonDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA. Electronic address: bruce.faddegon@ucsf.edu.
José Ramos-MéndezDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
Jan SchuemannMassachusetts General Hospital and Harvard Medical School, Boston, USA.
Aimee McNamaraMassachusetts General Hospital and Harvard Medical School, Boston, USA.
Jungwook ShinMassachusetts General Hospital and Harvard Medical School, Boston, USA.
Joseph PerlSLAC National Accelerator Laboratory, Menlo Park, USA.
Harald PaganettiMassachusetts General Hospital and Harvard Medical School, Boston, USA.

Funding

The TOPAS Tool for Particle Simulation, a Monte Carlo Simulation Tool for Physics, Biology and Clinical ResearchU24CA215123 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FADDEGON, BRUCE · 2018 to 2022
$4.2M
TOPAS: Fast and easy to use Monte Carlo system for proton therapyR01CA140735 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI PAGANETTI, HARALD · 2009 to 2015
$3.2M
NCI NIH HHS R01 CA140735NCI NIH HHS U24 CA215123
6 · The paper itself

Abstract

purposeThis paper covers recent developments and applications of the TOPAS TOol for PArticle Simulation and presents the approaches used to disseminate TOPAS. MATERIALS AND

methodsFundamental 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.

resultsAfter 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.

conclusionsThe 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.

Indexed as

Monte Carlo MethodProton TherapyHumans

Identifiers

PMID32247964
PMCPMC7192305

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.