Evidence map›Paper›PMID 31117056›Full record

ArticlePhysics in medicine and biology2019

The microdosimetric extension in TOPAS: development and comparison with published data.

Hongyu Zhu, Yizheng Chen, Wonmo Sung, Aimee L McNamara, Linh T Tran, Lucas N Burigo, Anatoly B Rosenfeld, Junli Li, Bruce Faddegon, Jan Schuemann and 1 more

Abstract readComparative Study
In one paragraph

Article in Physics in medicine and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Article
  8. Pre- and post-treatment image-based dosimetry inPhysics in medicine and biology · 2021
    Article
  9. Article
  10. The TOPAS tool for particle simulation, a Monte Carlo simulation tool for physics, biology and clinical research.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
    Article
  11. 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

11 authors.

Hongyu ZhuDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02114, United States of America.
Yizheng ChenDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02114, United States of America.
Wonmo SungDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02114, United States of America.ORCID 0000-0002-0172-0646
Aimee L McNamaraDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02114, United States of America.ORCID 0000-0001-8792-0464
Linh T TranCentre for Medical Radiation Physics, University of Wollongong, Wollongong, Australia.
Lucas N BurigoGerman Cancer Research Center-DKFZ, Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany.
Anatoly B RosenfeldCentre for Medical Radiation Physics, University of Wollongong, Wollongong, Australia.
Junli LiDepartment of Engineering Physics, Tsinghua University, Beijing 100084, People's Republic of China.
Bruce FaddegonDepartment of Radiation Oncology, University of California, San Francisco, CA 94143, United States of America.
Jan SchuemannDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02114, United States of America.ORCID 0000-0002-7554-8818
Harald PaganettiDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02114, United States of America.

Funding

TOPAS - nBio, a Monte Carlo tool for radiation biology researchR01CA187003 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI SCHUEMANN, JAN PATRICK OSCAR · 2015 to 2024
$4.8M
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
NCI NIH HHS R01 CA187003NCI NIH HHS U24 CA215123
6 · The paper itself

Abstract

Microdosimetric energy depositions have been suggested as a key variable for the modeling of the relative biological effectiveness (RBE) in proton and ion radiation therapy. However, microdosimetry has been underutilized in radiation therapy. Recent advances in detector technology allow the design of new mico- and nano-dosimeters. At the same time Monte Carlo (MC) simulations have become more widely used in radiation therapy. In order to address the growing interest in the field, a microdosimetric extension was developed in TOPAS. The extension provides users with the functionality to simulate microdosimetric spectra as well as the contribution of secondary particles to the spectra, calculate microdosimetric parameters, and determine RBE with a biological weighting function approach or with the microdosimetric kinetic (MK) model. Simulations were conducted with the extension and the results were compared with published experimental data and other simulation results for three types of microdosimeters, a spherical tissue equivalent proportional counter (TEPC), a cylindrical TEPC and a solid state microdosimeter. The corresponding microdosimetric spectra obtained with TOPAS from the plateau region to the distal tail of the Bragg curve generally show good agreement with the published data.

Indexed as

Models, TheoreticalMonte Carlo MethodPhantoms, ImagingRelative Biological EffectivenessHumansMicrotechnologyProtonsRadiometryProtons

Identifiers

PMID31117056
PMCPMC7182072

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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.