Evidence map›Paper›PMID 39526159›Full record

ArticleJournal of medical physics

Monte Carlo Simulation for the Radixact™ Tomotherapy Linac Using EGSnrc.

Danial Seifi Makrani, Hassan Ali Nedaei, Ghazale Geraily, Alireza Khorami-Moghaddam, Nooshin Banaee, Hussam Jassim

Abstract read
In one paragraph

Article in Journal of medical physics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Danial Seifi MakraniDepartment of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
Hassan Ali NedaeiDepartment of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
Ghazale GerailyDepartment of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
Alireza Khorami-MoghaddamDepartment of Radiology, Faculty of Allied Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Nooshin BanaeeMedical Radiation Research Center, Central Tehran Branch, Islamic Azad University, Tehran.
Hussam JassimDepartment of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: When exact information regarding the treatment head and initial electron beam is available, the Monte Carlo (MC) approach can properly simulate any linear accelerator. However, manufacturers seldom offer information such as the incident electron beam's energy, radial intensity (spot size), or angular spread. This research aims to forecast these features and verify an MC-simulated linear accelerator model using measurements. Materials and Methods: The BEAMnrc code simulated a 6 MV photon beam from a Radixact™ Tomotherapy Linac. Percentage depth dose and beam profile calculations were conducted using DOSYXZnrc by various electron energies and spot sizes and compared to measurements using a Gamma index with two distinct criterion sets. Furthermore, the fine-tuned electron energy and spot size profiles were created to minimize any disparities using distinct angle spreads. Finally, the output factors (OFs) for various field sizes were compared. Results: The MC model's fine-tuned electron energy was determined to be 5.8 MeV, with 88.6% of the calculation points passing the 1%/1 mm Conclusion: Using the BEAMnrc code, a reliable MC model of the Radixact™ Tomotherapy Linac can be created, as shown in this paper. This model can be used to compute dose distributions with confidence.

Indexed as

BEAMnrcDOSXYZnrcMonte Carlotomotherapy

Identifiers

PMID39526159
PMCPMC11548081

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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.