Evidence map›Paper›PMID 39530503›Full record

ArticleMedical physics2025

Imaging lung tumor motion using integrated-mode proton radiography-A phantom study towards tumor tracking in proton radiotherapy.

Ryan Fullarton, Mikaël Simard, Lennart Volz, Allison Toltz, Savanna Chung, Christoph Schuy, Daniel G Robertson, Gary Royle, Sam Beddar, Colin Baker and 2 more

Abstract read
In one paragraph

Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

12 authors.

Ryan FullartonDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.
Mikaël SimardDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.
Lennart VolzBiophysics, GSI Helmholtz Centre for Heavy Ion Research GmbH, Darmstadt, Germany.
Allison ToltzDepartment of Radiotherapy Physics, University College London Hospital, NHS Foundation Trust, London, UK.
Savanna ChungDepartment of Radiotherapy Physics, University College London Hospital, NHS Foundation Trust, London, UK.
Christoph SchuyBiophysics, GSI Helmholtz Centre for Heavy Ion Research GmbH, Darmstadt, Germany.
Daniel G RobertsonDivision of Medical Physics, Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
Gary RoyleDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.
Sam BeddarDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Colin BakerDepartment of Radiotherapy Physics, University College London Hospital, NHS Foundation Trust, London, UK.
Christian GraeffBiophysics, GSI Helmholtz Centre for Heavy Ion Research GmbH, Darmstadt, Germany.
Charles-Antoine Collins-FeketeDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.

Funding

Cancer Research UK City of London Centre Award C7893/A28990European Union's Horizon 2020 101008548Marie Skłodowska-Curie 101023220National Institute for Health and Care Research NIHR205508Philipps University Marburg MIT-2022-12UKRI Future Leaders Fellowship MR/T040785/1
6 · The paper itself

Abstract

backgroundMotion of lung tumors during radiotherapy leads to decreased accuracy of the delivered dose distribution. This is especially true for proton radiotherapy due to the finite range of the proton beam. Methods for mitigating motion rely on knowing the position of the tumor during treatment. PURPOSE: Proton radiography uses the treatment beam, at an energy high enough to traverse the patient, to produce a radiograph. This work shows the first results of using an integrated-mode proton radiography system to track the position of moving objects in an experimental phantom study; demonstrating the potential of using this method for measuring tumor motion.

methodsProton radiographs of an anthropomorphic lung phantom, with a motor-driven tumor insert, were acquired approximately every 1 s, using tumor inserts of 10, 20, and 30 mm undergoing a known periodic motion. The proton radiography system used a monolithic scintillator block and digital cameras to capture the residual range of each pencil beam passing through the phantom. These ranges were then used to produce a water equivalent thickness map of the phantom. The centroid of the tumor insert in the radiographs was used to determine its position. This measured position was then compared to the known motion of the phantom to determine the accuracy.

resultsSubmillimeter accuracy on the measurement of the tumor insert was achieved when using a 30 mm tumor insert with a period of 24 s and was found to be improved for decreasing motion amplitudes with a mean absolute error (MAE) of 1.0, 0.9, and 0.7 mm for 20, 15, and 10 mm respectively. Using smaller tumor inserts reduced the accuracy with a MAE of 1.8 and 1.9 mm for a 20 and 10 mm insert respectively undergoing a periodic motion with an amplitude of 20 mm and a period of 24 s. Using a shorter period resulted in significant motion artifacts reducing the accuracy to a MAE of 2.2 mm for a 12 s period and 3.1 mm for a 6 s period for the 30 mm insert with an amplitude of 20 mm.

conclusionsThis work demonstrates that the position of a lung tumor insert in a realistic anthropomorphic phantom can be measured with high accuracy using proton radiographs. Results show that the accuracy of the position measurement is the highest for slower tumor motions due to a reduction in motion artifacts. This indicates that the primary obstacle to accurate measurement is the speed of the radiograph acquisition. Although the slower tumor motions used in this study are not clinically realistic, this work demonstrates the potential for using proton radiography for measuring tumor motion with an increased scanning speed that results in a decreased acquisition time.

Indexed as

Lung NeoplasmsPhantoms, ImagingProton TherapyRadiotherapy, Image-GuidedHumansMovementRadiographyinterplay effectintrafraction motionproton radiography

Identifiers

PMID39530503
PMCPMC11788258

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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.