Evidence map›Paper›PMID 42120329›Full record

ArticleJournal of applied clinical medical physics2026

Assessing the delivery error detection sensitivity of a new 2D detector prototype for carbon ion PSQA measurements.

Javier Pérez-Curbelo, Carlos M Carvalho, Mansure Schafasand, Séverine Rossomme, Gabriela Llosá, Loïc Grevillot

Abstract read
In one paragraph

Article in Journal of applied clinical 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.

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0citing papers in PubMed
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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

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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.

Javier Pérez-CurbeloInstituto de Física Corpuscular (IFIC), CSIC-UV, Valencia, Spain.
Carlos M CarvalhoMedAustron Ion Therapy Center, Wiener Neustadt, Austria.
Mansure SchafasandMedAustron Ion Therapy Center, Wiener Neustadt, Austria.
Séverine RossommeIBA Dosimetry, Louvain-la-Neuve, Belgium.
Gabriela LlosáInstituto de Física Corpuscular (IFIC), CSIC-UV, Valencia, Spain.
Loïc GrevillotMedAustron Ion Therapy Center, Wiener Neustadt, Austria.

Funding

Agencia Estatal de Investigación PID2022-143246OB-I00Consejo Superior de Investigaciones Científicas IMOVE24275Generalitat Valenciana GRISOLIAP/2021/099Ministerio de Ciencia e Innovación
6 · The paper itself

Abstract

backgroundParticle therapy requires stringent patient-specific quality assurance (PSQA) to validate dose distributions delivered by the system. PURPOSE: This study presents preliminary results on the performance evaluation of the MatriXX AiR 2D ionization-chamber array for patient-specific QA (PSQA) in carbon-ion therapy, comparing measured and planned dose distributions.

methodsA series of 10 test cases, including a treatment plan for a box-shaped target (6-cm side length), uniformly covered by the dose and nine patient-specific treatment plans, were assessed. Measurements were conducted at two water equivalent depths using RW3 phantoms: beam entrance and within the Spread-Out Bragg Peak (SOBP). The study examined the detector's ability to detect deviations by systematically modifying treatment plans, comparing the measured and planned dose utilizing gamma index analysis.

resultsPassing rate analysis revealed depth-dependent sensitivity to treatment plan delivery modifications. Measurements at the entrance depth showed better sensitivity to delivery changes than those taken within the SOBP

conclusionsThe MatriXX AiR detector demonstrated strong potential for PSQA in carbon ion therapy. These findings support its application in clinical workflows to enhance treatment verification and accuracy.

Indexed as

Heavy Ion RadiotherapyNeoplasmsPhantoms, ImagingQuality Assurance, Health CareRadiometryRadiotherapy Planning, Computer-AssistedHumansRadiotherapy DosageRadiotherapy, Intensity-Modulated2D ionization chamber arrayCarbon ion patient‐specific quality assuranceDelivery error detectionDetector sensitivityMatriXX AiR

Identifiers

PMID42120329
PMCPMC13167250

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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.