Evidence map›Paper›PMID 40056121›Full record

ArticleMedical physics2025

A graphical user interface for Monte Carlo dose calculations for brachytherapy with egs_brachy.

Narjes Moghadam, Fatemeh Akbari, Shannon Jarvis, Martin Martinov, Michael Thibodeau, Claire Zhang, Joanna E Cygler, Rowan M Thomson

Abstract read
In one paragraph

Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

8 authors.

Narjes MoghadamCarleton Laboratory for Radiotherapy Physics, Department of Physics, Carleton University, Ottawa, Ontario, Canada.
Fatemeh AkbariCarleton Laboratory for Radiotherapy Physics, Department of Physics, Carleton University, Ottawa, Ontario, Canada.
Shannon JarvisCarleton Laboratory for Radiotherapy Physics, Department of Physics, Carleton University, Ottawa, Ontario, Canada.
Martin MartinovCarleton Laboratory for Radiotherapy Physics, Department of Physics, Carleton University, Ottawa, Ontario, Canada.
Michael ThibodeauCarleton Laboratory for Radiotherapy Physics, Department of Physics, Carleton University, Ottawa, Ontario, Canada.
Claire ZhangDepartment of Medical Physics, BC Cancer - Kelowna, Kelowna, British Columbia, Canada.
Joanna E CyglerDepartment of Medical Physics, The Ottawa Hospital Cancer Center, Ottawa, Canada.
Rowan M ThomsonCarleton Laboratory for Radiotherapy Physics, Department of Physics, Carleton University, Ottawa, Ontario, Canada.

Funding

Canadian Institutes for Health Research (CIHR) 437591Natural Sciences and Engineering Research Council of Canada (NSERC) 06267-2016Natural Sciences and Engineering Research Council of Canada (NSERC) 2024-05355
6 · The paper itself

Abstract

backgroundRecent advancements in brachytherapy necessitate precise dose calculations, transitioning from the traditional TG43 planning methods to the more sophisticated TG186 recommendations. However, the availability of accessible and efficient Monte Carlo (MC) codes capable of interfacing with clinical data for these advanced calculations remains limited. PURPOSE: This study presents and validates eb_gui, a graphical user interface designed to seamlessly integrate DICOM clinical data with egs_brachy, a fast MC dose calculation algorithm tailored for brachytherapy applications.

methodsThe egs_brachy graphical user interface (eb_gui) was developed using C++ with the Qt5 framework. Five benchmarking scenarios were employed to validate the use of eb_gui. Simulations were compared against three non-clinical test cases developed by the joint Working Group on Model-Based Dose Calculations (WG-MBDC), assessing local and global dose difference ratios with reference MC data. An interstitial HDR breast case and a low dose rate (LDR) prostate case were also analyzed, evaluating dose difference histograms, dose ratio maps, dose-volume histograms, and extracted dose metrics.

resultsFor the three WG-MBDCA test cases, over 95% of evaluated voxels showed local dose differences of less than ± 0.40%, with all voxels demonstrating global dose differences within ± 0.02%. In the interstitial HDR breast case, over 95% of voxels exhibited global difference ratios within [-0.31%, +0.39%] relative to the reference dataset, while local difference ratios varied due to simulation conditions. Results of the LDR prostate test case simulations underscored the eb_gui's comprehensive capabilities and accuracy.

conclusioneb_gui successfully bridges clinical data with egs_brachy MC simulations, facilitating advanced, patient-specific dose evaluations in accordance with TG186 recommendations. By releasing eb_gui as open-source software on GitHub, this study promotes widespread adoption within the clinical community, supporting the move toward more accurate and personalized brachytherapy treatments. This tool represents a significant advancement, enabling clinicians to conduct high-quality MC dose calculations efficiently.

Indexed as

BrachytherapyComputer GraphicsMonte Carlo MethodRadiation DosageRadiotherapy Planning, Computer-AssistedUser-Computer InterfaceHumansRadiotherapy Dosagebrachytherapyegs_brachyEGSnrcgraphical user interfaceMonte Carlo

Identifiers

PMID40056121
PMCPMC12149675

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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.