Evidence map›Paper›PMID 42751025›Full record

ArticlePhysics and imaging in radiation oncology2026

Type-B uncertainties related to ionization chamber modelling in Monte Carlo based reference dosimetry for clinical proton and carbon ion beams.

Guillaume Houyoux, Nick Reynaert, Kilian-Simon Baumann

Abstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 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.

Guillaume HouyouxRadiophysics and MRI Physics Laboratory, Faculty of Medicine, Université Libre de Bruxelles, Brussels, Belgium.
Nick ReynaertRadiophysics and MRI Physics Laboratory, Faculty of Medicine, Université Libre de Bruxelles, Brussels, Belgium.
Kilian-Simon BaumannUniversity of Applied Sciences Giessen, Institute of Medical Physics and Radiation Protection, Giessen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose: Monte Carlo simulations are increasingly used to derive beam quality correction factors ( Materials and Methods: Seven ionization chamber models have been modelled in Image 1001 , and independent perturbations of the geometrical dimensions, material mass densities and Results: All perturbed configurations showed deviations within three standard uncertainties (type-A) of the reference result. Maximum deviations of 0.4% were observed across the three types of perturbation, independently of beam energy or chamber type. Each source of uncertainty contributed to roughly 0.2% individually, with a combined effect of Conclusions: The type-B uncertainties associated with ionization chamber modelling do not dominate the overall uncertainty of ionization response functions

Indexed as

Carbon ion beamsIonization chambersMonte CarloProton beamsReference dosimetryType-B uncertainties

Identifiers

PMID42751025
PMCPMC13579417

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.