Evidence map›Paper›PMID 33100611›Full record

ArticleRadiation physics and chemistry (Oxford, England : 1993)2020

Experimental validation of an analytical microdosimetric model based on Geant4-DNA simulations by using a silicon-based microdosimeter.

A Bertolet, V Grilj, C Guardiola, A D Harken, M A Cortés-Giraldo, A Baratto-Roldán, A Carabe

Open access · greenAbstract read
In one paragraph

Article in Radiation physics and chemistry (Oxford, England : 1993), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 5 institutions in 3 countries.

A BertoletDepartment of Radiation Oncology, Hospital of The University of Pennsylvania, Philadelphia, PA, USA.
V GriljRadiological Research Accelerator Facility, Columbia University, Irvington, NY, USA.
C GuardiolaUniversité Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France; Université de Paris, IJCLab, 91405 Orsay France.
A D HarkenRadiological Research Accelerator Facility, Columbia University, Irvington, NY, USA.
M A Cortés-GiraldoDepartment of Atomic, Molecular and Nuclear Physics, Universidad de Sevilla, Seville, Spain.
A Baratto-RoldánDepartment of Atomic, Molecular and Nuclear Physics, Universidad de Sevilla, Seville, Spain.
A CarabeDepartment of Radiation Oncology, Hospital of The University of Pennsylvania, Philadelphia, PA, USA.
Columbia University · USHospital of the University of Pennsylvania · USInstitut de Microelectrònica de Barcelona · ESUniversidad de Sevilla · ESUniversité Paris Cité · FR

Funding

TR&D 3P41EB002033 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRENNER, DAVID JONATHAN · 2003 to 2018
$17.0M
NIBIB NIH HHS P41 EB002033
6 · The paper itself

Abstract

purposeTo study the agreement between proton microdosimetric distributions measured with a silicon-based cylindrical microdosimeter and a previously published analytical microdosimetric model based on Geant4-DNA in-water Monte Carlo simulations for low energy proton beams. METHODS AND MATERIAL: Distributions for lineal energy (

resultsDistributions for

conclusionSimulations in Geant4-DNA with ideal cylindrical sites in liquid water produce similar results to the measurements in an actual silicon-based cylindrical microdosimeter properly calibrated. The found agreement suggests the possibility to experimentally verify the calculated clinical

Indexed as

Geant4-DNAlineal energymicrodosimetryproton therapysilicon detectorTEPC

Identifiers

PMID33100611
PMCPMC7583143
OpenAlexW3035829821

What OpenQuestion holds

Textmetadata
LicenceTDM
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.