Evidence map›Paper›PMID 28350546›Full record

ArticlePhysics in medicine and biology2017

Comparing stochastic proton interactions simulated using TOPAS-nBio to experimental data from fluorescent nuclear track detectors.

T S A Underwood, W Sung, C H McFadden, S J McMahon, D C Hall, A L McNamara, H Paganetti, G O Sawakuchi, J Schuemann

Abstract readEvaluation Study
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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

9 authors.

T S A UnderwoodDepartment of Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, United States of America.
W SungDepartment of Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, United States of America.
C H McFaddenDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
S J McMahonCentre for Cancer Research and Cell Biology, Queens University Belfast, Belfast, United Kingdom.
D C HallDepartment of Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, United States of America.
A L McNamaraDepartment of Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, United States of America.
H PaganettiDepartment of Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, United States of America.
G O SawakuchiDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
J SchuemannDepartment of Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, 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
NCI NIH HHS R01 CA187003
6 · The paper itself

Abstract

Whilst Monte Carlo (MC) simulations of proton energy deposition have been well-validated at the macroscopic level, their microscopic validation remains lacking. Equally, no gold-standard yet exists for experimental metrology of individual proton tracks. In this work we compare the distributions of stochastic proton interactions simulated using the TOPAS-nBio MC platform against confocal microscope data for Al

Indexed as

ProtonsElectronsLinear Energy TransferMonte Carlo MethodPhantoms, ImagingRadiometryStochastic ProcessesWaterProtonsWater

Identifiers

PMID28350546
PMCPMC8627280

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Registered trials

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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.