Evidence map›Paper›PMID 33030241›Full record

ArticleMedical physics2020

Producing a Beam Model of the Varian ProBeam Proton Therapy System using TOPAS Monte Carlo Toolkit.

Mahbubur Rahman, Petr Bruza, Yuting Lin, David J Gladstone, Brian W Pogue, Rongxiao Zhang

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 22 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

6 authors at 2 institutions in 1 country.

Mahbubur RahmanThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA.
Petr BruzaThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA.
Yuting LinDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA, 30322, USA.
David J GladstoneThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA.
Brian W PogueThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA.
Rongxiao ZhangThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA.
Dartmouth College · USEmory University · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
OPTICAL CHERENKOV IMAGING DOSIMETRY IN HUMAN RADIOTHERAPYR01EB023909 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI GLADSTONE, DAVID J., JARVIS, LESLEY A · 2017 to 2024
$4.4M
Video Rate optical verification tool for radiotherapy treatment plansR44CA199681 · NCI · DOSEOPTICS, LLC · PI WARE, WILLIAM · 2016 to 2017
$2.0M
NCI NIH HHS P30 CA023108NCI NIH HHS R44 CA199681NIBIB NIH HHS R01 EB023909NIH HHS 5P30 CA023108-41NIH HHS R01 EB023909NIH HHS R44 CA199681
6 · The paper itself

Abstract

purposeA Geant4-based TOPAS Monte Carlo toolkit was utilized to model a Varian ProBeam proton therapy system, with the aim of providing an independent computational platform for validating advanced dosimetric methods. MATERIALS AND

methodsThe model was tested for accuracy of dose and linear energy transfer (LET) prediction relative to the commissioning data, which included integral depth dose (IDD) in water and spot profiles in air measured at varying depths (for energies of 70 to 240 MeV in increments of 10 MeV, and 242 MeV), and absolute dose calibration. Emittance was defined based on depth-dependent spot profiles and Courant-Snyder's particle transport theory, which provided spot size and angular divergence along the inline and crossline plane. Energy spectra were defined as Gaussian distributions that best matched the range and maximum dose of the IDD. The validity of the model was assessed based on measurements of range, dose to peak difference, mean point to point difference, spot sizes at different depths, and spread-out Bragg peak (SOBP) IDD and was compared to the current treatment planning software (TPS).

resultsSimulated and commissioned spot sizes agreed within 2.5%. The single spot IDD range, maximum dose, and mean point to point difference of each commissioned energy agreed with the simulated profiles generally within 0.07 mm, 0.4%, and 0.6%, respectively. A simulated SOBP plan agreed with the measured dose within 2% for the plateau region. The protons/MU and absolute dose agreed with the current TPS to within 1.6% and exhibited the greatest discrepancy at higher energies.

conclusionsThe TOPAS model agreed well with the commissioning data and included inline and crossline asymmetry of the beam profiles. The discrepancy between the measured and TOPAS-simulated SOBP plan may be due to beam modeling simplifications of the current TPS and the nuclear halo effect. The model can compute LET, and motivates future studies in understanding equivalent dose prediction in treatment planning, and investigating scintillation quenching.

Indexed as

Proton TherapyMonte Carlo MethodNormal DistributionProtonsRadiometryRadiotherapy DosageRadiotherapy Planning, Computer-AssistedProtonsbeam modellinear energy transferMonte Carloproton pencil beamTOPAS

Identifiers

PMID33030241
PMCPMC10760485
OpenAlexW3091966845

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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.