Evidence map›Paper›PMID 34384063›Full record

ReviewPhysics in medicine and biology2021

Monte Carlo methods for device simulations in radiation therapy.

Hyojun Park, Harald Paganetti, Jan Schuemann, Xun Jia, Chul Hee Min

Abstract readReview
In one paragraph

Review in Physics in medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  6. Article
  7. Article
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  9. Article
  10. Exploring biochemical considerations for diffusive alpha radiation therapy (DaRT) models.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) · 2025
    Review
  11. Method "Monte Carlo" in healthcare.World journal of methodology · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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

5 authors.

Hyojun ParkDepartment of Radiation Convergence Engineering, Yonsei University, Wonju, Republic of Korea.ORCID 0000-0002-7582-4763
Harald PaganettiDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States of America.
Jan SchuemannDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States of America.ORCID 0000-0002-7554-8818
Xun JiaDepartment of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX 75235, United States of America.
Chul Hee MinDepartment of Radiation Convergence Engineering, Yonsei University, Wonju, Republic of Korea.

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
Next generation small animal radiation research platformR37CA214639 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI JIA, XUN · 2018 to 2024
$3.8M
Precise image guidance for liver cancer stereotactic body radiotherapy using element-resolved motion-compensated cone beam CTR01CA227289 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI JIA, XUN · 2018 to 2022
$2.0M
NCI NIH HHS R01 CA227289NCI NIH HHS R37 CA214639NCI NIH HHS U24 CA215123
6 · The paper itself

Abstract

Monte Carlo (MC) simulations play an important role in radiotherapy, especially as a method to evaluate physical properties that are either impossible or difficult to measure. For example, MC simulations (MCSs) are used to aid in the design of radiotherapy devices or to understand their properties. The aim of this article is to review the MC method for device simulations in radiation therapy. After a brief history of the MC method and popular codes in medical physics, we review applications of the MC method to model treatment heads for neutral and charged particle radiation therapy as well as specific in-room devices for imaging and therapy purposes. We conclude by discussing the impact that MCSs had in this field and the role of MC in future device design.

Indexed as

Diagnostic ImagingRadiotherapy Planning, Computer-AssistedMonte Carlo MethodRadiotherapy Dosagedevice simulationMonte Carlo methodradiation treatment

Identifiers

PMID34384063
PMCPMC8996747

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.