Evidence map›Paper›PMID 38724569›Full record

ArticleScientific reports2024

A high-resolution large-area detector for quality assurance in radiotherapy.

Andreia Maia Oliveira, Hylke B Akkerman, Saverio Braccini, Albert J J M van Breemen, Gerwin H Gelinck, Natalie Heracleous, Johannes Leidner, Fabrizio Murtas, Bart Peeters, Marco Silari

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Andreia Maia OliveiraCERN - Occupational Health & Safety and Environmental Protection Unit, Radiation Protection Group, 1211, Geneva 23, Switzerland. andreia.cristina.maia.oliveira@cern.ch.
Hylke B AkkermanHolst Centre/TNO, High Tech, Campus 31, 5656 AE, Eindhoven, The Netherlands.
Saverio BracciniLaboratory for High Energy Physics (LHEP), Albert Einstein Center for Fundamental Physics (AEC), University of Bern, Sidlerstrasse 5, 3012, Bern, Switzerland.
Albert J J M van BreemenHolst Centre/TNO, High Tech, Campus 31, 5656 AE, Eindhoven, The Netherlands.
Gerwin H GelinckHolst Centre/TNO, High Tech, Campus 31, 5656 AE, Eindhoven, The Netherlands.
Natalie HeracleousCERN - Occupational Health & Safety and Environmental Protection Unit, Radiation Protection Group, 1211, Geneva 23, Switzerland.
Johannes LeidnerCERN - Occupational Health & Safety and Environmental Protection Unit, Radiation Protection Group, 1211, Geneva 23, Switzerland.
Fabrizio MurtasCERN - Occupational Health & Safety and Environmental Protection Unit, Radiation Protection Group, 1211, Geneva 23, Switzerland.
Bart PeetersHolst Centre/TNO, High Tech, Campus 31, 5656 AE, Eindhoven, The Netherlands.
Marco SilariCERN - Occupational Health & Safety and Environmental Protection Unit, Radiation Protection Group, 1211, Geneva 23, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hadron therapy is an advanced radiation modality for treating cancer, which currently uses protons and carbon ions. Hadrons allow for a highly conformal dose distribution to the tumour, minimising the detrimental side-effects due to radiation received by healthy tissues. Treatment with hadrons requires sub-millimetre spatial resolution and high dosimetric accuracy. This paper discusses the design, fabrication and performance tests of a detector based on Gas Electron Multipliers (GEM) coupled to a matrix of thin-film transistors (TFT), with an active area of 60 × 80 mm

Identifiers

PMID38724569
PMCPMC11082155

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.