Evidence map›Paper›PMID 36850398›Full record

ArticleSensors (Basel, Switzerland)2023

Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy.

Jaap Velthuis, Yutong Li, Jordan Pritchard, Chiara De Sio, Lana Beck, Richard Hugtenburg

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

6 authors.

Jaap VelthuisSchool of Physics, University of Bristol, Bristol BS7 1TL, UK.ORCID 0000-0002-4649-3221
Yutong LiSchool of Physics, University of Bristol, Bristol BS7 1TL, UK.ORCID 0000-0003-2221-7983
Jordan PritchardSchool of Physics, University of Bristol, Bristol BS7 1TL, UK.ORCID 0000-0002-2842-6615
Chiara De SioSchool of Physics, University of Bristol, Bristol BS7 1TL, UK.ORCID 0000-0001-9112-425X
Lana BeckSchool of Physics, University of Bristol, Bristol BS7 1TL, UK.ORCID 0000-0003-4369-7648
Richard HugtenburgSchool of Physics, University of Bristol, Bristol BS7 1TL, UK.ORCID 0000-0003-0352-9607

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intensity-modulated radiotherapy is a widely used technique for accurately targeting cancerous tumours in difficult locations using dynamically shaped beams. This is ideally accompanied by real-time independent verification. Monolithic active pixel sensors are a viable candidate for providing upstream beam monitoring during treatment. We have already demonstrated that a Monolithic Active Pixel Sensor (MAPS)-based system can fulfill all clinical requirements except for the minimum required size. Here, we report the performance of a large-scale demonstrator system consisting of a matrix of 2 × 2 sensors, which is large enough to cover almost all radiotherapy treatment fields when affixed to the shadow tray of the LINAC head. When building a matrix structure, a small dead area is inevitable. Here, we report that with a newly developed position algorithm, leaf positions can be reconstructed over the entire range with a position resolution of below ∼200 μm in the centre of the sensor, which worsens to just below 300 μm in the middle of the gap between two sensors. A leaf position resolution below 300 μm results in a dose error below 2%, which is good enough for clinical deployment.

Indexed as

AlgorithmsPlant Leavesdata processing methodsdetector alignment and calibrationimage processingimage reconstruction in medical imagingMonolithic Active Pixel Sensors (MAPS)Multi Leaf Collimator (MLC)radiation-hard detectorsradiotherapy conceptsradiotherapy monitoringradiotherapy verificationsolid-state detectorsX-ray detectors

Identifiers

PMID36850398
PMCPMC9960806

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.