Evidence map›Paper›PMID 41795670›Full record

ArticleMedical physics2026

A Monte Carlo study of proton LET calculations: Comparison between the codes PENHAN, FLUKA, and TOPAS.

D Puerta, M Anguiano, W González

Abstract readComparative 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. 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

3 authors.

D PuertaDepartamento de Física Atómica, Molecular y Nuclear, Universidad de Granada, Granada, Spain.
M AnguianoDepartamento de Física Atómica, Molecular y Nuclear, Universidad de Granada, Granada, Spain.
W GonzálezDepartamento de Física Aplicada I, Universidad de Málaga, Málaga, Spain.

Funding

Consejería de Universidad, Investigación e Innovación. Junta de Andalucía FQM387Consejería de Universidad, Investigación e Innovación. Junta de Andalucía PREDOC_00059Ministerio de Ciencia, Innovación y Universidades. Agencia Estatal de Investigación PID2019-104888GB-I00Ministerio de Ciencia, Innovación y Universidades. Agencia Estatal de Investigación PID2022-137543NB-I00Universidad de Granada / CBUA: funding for open access charge
6 · The paper itself

Abstract

backgroundLinear energy transfer (LET) is frequently used to characterize radiation quality in proton therapy and is an important quantity for radiobiological modeling. However, LET calculations can, in principle, vary between Monte Carlo (MC) codes, affecting consistency in treatment planning and relative biological effectiveness (RBE) estimation. PURPOSE: This study aims to investigate the variability of LET results when using different MC codes.

methodsAn intercomparison of LET results was performed using penhan, topas MC, and CERN fluka, together with recently published experimental data. Track-averaged (

resultsThe results obtained indicate that discrepancies in LET calculations are primarily linked to the choice of stopping powers and the handling of nuclear interactions. Calculations considering only primary protons exhibited great agreement with recent experimental LET measurements, validating our simulations.

conclusions

Indexed as

Linear Energy TransferMonte Carlo MethodProtonsProton TherapyRadiotherapy Planning, Computer-AssistedRelative Biological EffectivenessProtonsLETMonte Carlo simulationproton therapy

Identifiers

PMID41795670
PMCPMC12967715

What OpenQuestion holds

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Registered trials

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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.