Evidence map›Paper›PMID 28594336›Full record

ArticlePhysics in medicine and biology2017

Flagged uniform particle splitting for variance reduction in proton and carbon ion track-structure simulations.

José Ramos-Méndez, Jan Schuemann, Sebastien Incerti, Harald Paganetti, Reinhard Schulte, Bruce Faddegon

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

6 authors.

José Ramos-MéndezDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA, United States of America.ORCID 0000-0002-8106-5142
Jan SchuemannDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America.ORCID 0000-0002-7554-8818
Sebastien IncertiCNRS, IN2P3, CENBG, UMR 5797, F-33170 Gradignan, France.
Harald PaganettiDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America.
Reinhard SchulteDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA, United States of America.
Bruce FaddegonDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA, 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
NAPTA: Optimizing clinical trial design & delivery of particle therapy for cancerP20CA183640 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BLAKELY, ELEANOR A, ROACH, MACK · 2015 to 2016
$997k
NCI NIH HHS P20 CA183640NCI NIH HHS R01 CA187003
6 · The paper itself

Abstract

Flagged uniform particle splitting was implemented with two methods to improve the computational efficiency of Monte Carlo track structure simulations with TOPAS-nBio by enhancing the production of secondary electrons in ionization events. In method 1 the Geant4 kernel was modified. In method 2 Geant4 was not modified. In both methods a unique flag number assigned to each new split electron was inherited by its progeny, permitting reclassification of the split events as if produced by independent histories. Computational efficiency and accuracy were evaluated for simulations of 0.5-20 MeV protons and 1-20 MeV u

Indexed as

Computer SimulationElectronsProtonsAlgorithmsCarbonDNA DamageHumansIonsModels, StatisticalMonte Carlo MethodCarbonIonsProtons

Identifiers

PMID28594336
PMCPMC5785278

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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.