Evidence map›Paper›PMID 42446843›Full record

ArticlePhysical and engineering sciences in medicine2026

Transfer of fractionated treatment plans from ring-gantry to L-shaped linacs using fluence map convolution.

Sirikarn Songyen, Wilai Masanga, Thunpisit Mundee, Chirapha Tannanonta, Sangutid Thongsawad

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Article in Physical and engineering sciences in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sirikarn SongyenMedical Physics Program, Princess Srisavangavadhana Faculty of Medicine, Chulabhorn Royal Academy, 906, Kamphangpech 6 Road, Laksi, Bangkok, Thailand.
Wilai MasangaDepartment of Radiation Oncology, Chulabhorn Hospital, Bangkok, Thailand.
Thunpisit MundeeDepartment of Radiation Oncology, Chulabhorn Hospital, Bangkok, Thailand.
Chirapha TannanontaDepartment of Radiation Oncology, Chulabhorn Hospital, Bangkok, Thailand.
Sangutid ThongsawadDepartment of Radiation Oncology, Chulabhorn Hospital, Bangkok, Thailand. sangutid.tho@cra.ac.th.ORCID http://orcid.org/0000-0002-0523-352X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transferring treatment plans from a ring-gantry Ethos system to a standard L-shaped linear accelerator (linac), such as TrueBeam, is often a time-consuming and labor-intensive process, requiring repeated optimization steps. This study proposes a novel method for converting Ethos IMRT plans to TrueBeam IMRT plans using Fluence Map Generation (FMG) based on a fluence map convolution approach, intended to minimize treatment delays in the event of Ethos downtime. The FMG method comprises three key steps: determining an optimal convolution kernel, generating fluence maps from Ethos plans, and applying 2D convolution to simulate corresponding TrueBeam fluence maps. Forty original Ethos IMRT plans were used to validate the FMG approach, and the number of transferable fractions for each converted plan was evaluated. The FMG method successfully generated a moderate number of transferable fractions, ranging from one to six. The FMG-generated plans showed comparable dose distributions between the cumulative dose (FMG + Original) and the original Ethos plans (Original). This FMG-based conversion strategy provides a practical solution for converting Ethos IMRT plans to TrueBeam IMRT plans, helping mitigate treatment interruptions and reduce the clinical workload associated with plan re-optimization.

Indexed as

Dose Fractionation, RadiationParticle AcceleratorsRadiotherapy Planning, Computer-AssistedAlgorithmsHumansRadiotherapy DosageRadiotherapy, Intensity-ModulatedFlunence map convolutionRing-gantry linacTransfer plan

Identifiers

PMID42446843

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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.