Evidence map›Paper›PMID 41510306›Full record

ArticlePhysics and imaging in radiation oncology2026

Patient-specific factors associated with tumour motion in lung stereotactic body radiation therapy from real-time tumour tracking traces.

Ashlesha Gill, Nicholas Bucknell, Mahsheed Sabet, Milad Mirzaei, Thomas Milan, Adriano Polpo, Pejman Rowshanfarzad

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.

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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

7 authors.

Ashlesha GillSchool of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA 6009, Australia.
Nicholas BucknellDepartment of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia.
Mahsheed SabetSchool of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA 6009, Australia.
Milad MirzaeiDepartment of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia.
Thomas MilanDepartment of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia.
Adriano PolpoSchool of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA 6009, Australia.
Pejman RowshanfarzadSchool of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA 6009, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Respiratory motion is a major source of geometric uncertainty in lung stereotactic body radiation therapy (SBRT), necessitating individualized motion management. The study aimed to examine the lung tumour motion against patient- and tumour-specific factors. Materials and methods: Motion traces were obtained from 109 retrospective CyberKnife fiducial tracking lung treatments, recorded at 25 Hz through correlation of fiducial and external marker signals. Log files were collected and motion was quantified in the superior-inferior (SI), left-right (LR) and anterior-posterior (AP) directions. Each treatment delivery node (∼2700 per patient) was individually analysed. Clinical data included demographics, comorbidities, prior lung treatments, pulmonary function, and tumour location, size, and histology. Statistical analyses used multivariate and univariate approaches. Results: Tumour location strongly predicted SI motion, with lower lobes showing up to an 8.2 mm greater motion than upper lobes. Previous surgery or radiotherapy moderately reduced LR motion (-0.5 mm), while tumour diameter showed a weak positive association with LR motion (+0.02 mm per mm). Percentage predicted forced expiratory volume in one second (FEV Conclusions: Tumour location primarily determined SI motion, with additional increases linked to better pulmonary function and higher BMI. LR motion was greater in patients without prior lung treatment and with larger tumours, while greater AP motion occurred with better pulmonary function. Lung motion variation was quantified to support sub-millimetre SBRT precision.

Indexed as

CyberKnifeLung cancerPersonalised marginsSBRTTumour motion

Identifiers

PMID41510306
PMCPMC12775970

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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 Socratic graph.