Evidence map›Paper›PMID 41699925›Full record

ArticleMedical physics2026

Development and validation of a TOPAS Monte Carlo model for a 0.5 T bi-planar Linac-MR.

Alireza Gazor, Michael Reynolds, Andrei Ghila, Eugene Yip, Keith Wachowicz, B Gino Fallone, Tania R Wood

Abstract readValidation Study
In one paragraph

Article in Medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Alireza GazorMedical Physics Division, Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.
Michael ReynoldsBC Cancer - Victoria, Medical Physics, Victoria, British Columbia, Canada.
Andrei GhilaMedical Physics Division, Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.
Eugene YipMedical Physics Division, Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.
Keith WachowiczMedical Physics Division, Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.
B Gino FalloneMedical Physics Division, Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.
Tania R WoodMedical Physics Division, Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMR-guided radiotherapy enables real-time imaging and adaptive treatment but may introduce magnetic field effects that alter dose deposition. Accurate dose calculation in such settings requires detailed Monte Carlo (MC) modeling. PURPOSE: To develop and validate a detailed MC model of the 0.5 T bi-planar Linac-MR with an integrated, custom-designed multileaf collimator (MLC) module in TOPAS.

methodsA MC Model of the 0.5 T bi-planar Linac-MR with a 6 MV FFF beam, commercialized as the Aurora-RT (MagnetTx Oncology Solutions, Canada), is developed in TOPAS. A custom 3D magnetic field vector map, tracking with gantry angle, is incorporated into this TOPAS model. An electron source is used for X-ray generation, and all components of the linac head from the target downward are modeled in detail. The MLCs are modeled from stereolithography (STL) design files and controlled via an empirically driven mechanism developed in this work. Water tank measured percent depth dose (PDD) curves and profiles (3

resultsA 5.5 MeV electron source energy and a 1.3 mm radial distribution (FWHM) provides the best match between measurement and MC. Simulated PDDs pass 1%

conclusionsThe developed TOPAS MC model of the 0.5 T Linac-MR demonstrates high accuracy for dose verification in magnetic fields. The MLC module, including its coordinate positioning mechanism, is fully validated for open aperture applications. This MC model provides a reliable framework for dose simulations in a magnetic field.

Indexed as

Magnetic Resonance ImagingMonte Carlo MethodParticle AcceleratorsRadiotherapy, Image-GuidedRadiotherapy DosageRadiotherapy Planning, Computer-AssistedMonte CarloMR‐LinacTOPAS

Identifiers

PMID41699925
PMCPMC12910192

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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.