Evidence map›Paper›PMID 35705062›Full record

ArticleJournal of radiological protection : official journal of the Society for Radiological Protection2022

Experimental validation of proton physics models of Geant4 for calculating stopping power ratio.

Ruirui Liu, Xiandong Zhao, Maria Medrano

Open access · greenAbstract read
In one paragraph

Article in Journal of radiological protection : official journal of the Society for Radiological Protection, 2022. 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
1.4field-weighted citation impact, top 19% 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, 10 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

3 authors at 2 institutions in 1 country.

Ruirui LiuDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States of America.ORCID 0000-0002-5314-8477
Xiandong ZhaoDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, United States of America.
Maria MedranoDepartment of Electrical and Systems Engineering, Washington University, St. Louis, MO, United States of America.
Washington University in St. Louis · USEmory University · US

Funding

21ST CENTURY IMAGING SCIENCES: GRADUATE STUDENT TRAININGT32EB014855 · NIBIB · WASHINGTON UNIVERSITY · PI JOSEPH P CULVER, JOSEPH A O'SULLIVAN · 2012 to 2026
$3.1M
QUANTITATIVE DUAL-ENERGY CT IMAGING FOR CANCER IMAGING AND RADIATION THERAPY APPLICATIONSR01CA212638 · NCI · WASHINGTON UNIVERSITY · PI O'SULLIVAN, JOSEPH A · 2017 to 2021
$2.3M
NCI NIH HHS R01 CA212638NIBIB NIH HHS T32 EB014855
6 · The paper itself

Abstract

In this work, we conducted experiments to validate the proton physics models of Geant4 (version 10.6). The stopping power ratios (SPRs) of 11 inserts, such as acrylic, delrin, high density polyethylene, and polytetrafluoroethylene, etc, were measured using a superconducting synchrocyclotron that produces a scattering proton beam. The SPRs of the inserts were also calculated based on Geant4 simulation with six physics lists, i.e. QGSP_ FTFP_ BERT, QGSP_BIC_HP, QGSP_BIC, QGSP_FTFP_BERT, QSGP_BERT, and QBBC. The calculated SPRs were compared to the experimental SPRs, and relative per cent error was used to quantify the accuracy of the simulated SPRs of inserts. The comparison showed that the five physics lists generally agree well with the experimental SPRs with a relative difference of less than 1%. The lowest overall percentage error was observed for QGSP_FTFP_BERT and the highest overall percentage error was observed for QGSP_BIC_HP. The 0.1 mm range cut value consistently led to higher percentage error for all physics lists except for QGSP_BIC_HP and QBBC. Based on the validation, we recommend QGSP_BERT_HP physics list for proton dose calculation.

Indexed as

ProtonsProton TherapyCyclotronsMonte Carlo MethodPhysicsProtonsexperimental validationGeant4Monte Carlo simulationphysics listsstopping power ratio

Identifiers

PMID35705062
PMCPMC9462414
OpenAlexW4282977337

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.