Evidence map›Paper›PMID 32970844›Full record

ArticleMedical physics2020

Independent reaction times method in Geant4-DNA: Implementation and performance.

José Ramos-Méndez, Wook-Geun Shin, Mathieu Karamitros, Jorge Domínguez-Kondo, Ngoc Hoang Tran, Sebastien Incerti, Carmen Villagrasa, Yann Perrot, Václav Štěpán, Shogo Okada and 2 more

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.3field-weighted citation impact, top 6% of its field
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

25 citing papers in PubMed, 54 citations in OpenAlex.

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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

12 authors at 7 institutions in 6 countries.

José Ramos-MéndezDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94115, USA.
Wook-Geun ShinCentre d'Études Nucléaires de Bordeaux Gradignan, Université de Bordeaux, CNRS/IN2P3, UMR5797, Gradignan, 33175, France.
Mathieu KaramitrosRadiation Laboratory, University of Notre Dame, Notre Dame, IN, 46556, USA.
Jorge Domínguez-KondoFacultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Puebla PUE, 72000, Mexico.
Ngoc Hoang TranCentre d'Études Nucléaires de Bordeaux Gradignan, Université de Bordeaux, CNRS/IN2P3, UMR5797, Gradignan, 33175, France.
Sebastien IncertiCentre d'Études Nucléaires de Bordeaux Gradignan, Université de Bordeaux, CNRS/IN2P3, UMR5797, Gradignan, 33175, France.
Carmen VillagrasaInstitut de Radioprotection et de Sûreté Nucléaire, IRSN, BP17, Fontenay-aux-Roses, 92262, France.
Yann PerrotInstitut de Radioprotection et de Sûreté Nucléaire, IRSN, BP17, Fontenay-aux-Roses, 92262, France.
Václav ŠtěpánDepartment of Radiation Dosimetry, Nuclear Physics Institute of the CAS, Prague, Czech Republic.
Shogo OkadaKEK, 1-1, Oho, Tsukuba, Ibaraki, 305-0801, Japan.
Eduardo Moreno-BarbosaFacultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Puebla PUE, 72000, Mexico.
Bruce FaddegonDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94115, USA.
Centre National de la Recherche Scientifique · FRBenemérita Universidad Autónoma de Puebla · MXInstitut de Radioprotection et de Sûreté Nucléaire · FRUniversity of California, San Francisco · USCzech Academy of Sciences, Nuclear Physics Institute · CZHigh Energy Accelerator Research Organization · JPUniversity of Notre Dame · US

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
NCI NIH HHS R01 CA187003UCSF Medical School Bridge NIH R01 CA187003
6 · The paper itself

Abstract

purposeThe simulation of individual particle tracks and the chemical stage following water radiolysis in biological tissue is an effective means of improving our knowledge of the physico-chemical contribution to the biological effect of ionizing radiation. However, the step-by-step simulation of the reaction kinetics of radiolytic species is the most time-consuming task in Monte Carlo track-structure simulations, with long simulation times that are an impediment to research. In this work, we present the implementation of the independent reaction times (IRT) method in Geant4-DNA Monte Carlo toolkit to improve the computational efficiency of calculating G-values, defined as the number of chemical species created or lost per 100 eV of deposited energy.

methodsThe computational efficiency of IRT, as implemented, is compared to that from available Geant4-DNA step-by-step simulations for electrons, protons and alpha particles covering a wide range of linear energy transfer (LET). The accuracy of both methods is verified using published measured data from fast electron irradiations for

resultsThe IRT improved the computational efficiency by three orders of magnitude relative to the step-by-step method while differences in G-values by 3.9% at 1 μs were found. At 7 ps,

conclusionThe comprehensive validation of the Geant4-DNA capabilities to accurately simulate the chemistry following water radiolysis is an ongoing work. The implementation presented in this work is a necessary step to facilitate performing such a task.

Indexed as

Linear Energy TransferModels, ChemicalComputer SimulationDNAMonte Carlo MethodReaction TimeWaterDNAWaterGeant4-DNAindependent reaction timesLETMonte Carloradiolysistrack-structure

Identifiers

PMID32970844
PMCPMC7891885
OpenAlexW3088010555

What OpenQuestion holds

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Read underepoch 390

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.