Evidence map›Paper›PMID 37393541›Full record

ArticleThe British journal of radiology2023

Evaluation of tumour motion and internal/external correlation in lung SABR.

Asmaa M Ali, Jason B Greenwood, Gerard M Walls, Louise Belshaw, Christina E Agnew, Jonathan McAleese, Glenn Whitten, Denise M Irvine, Alan R Hounsell, Conor K McGarry

Open access · hybridAbstract read
In one paragraph

Article in The British journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Asmaa M AliSchool of Mathematics and Physics, Queen's University Belfast, Belfast, Northern Ireland.
Jason B GreenwoodSchool of Mathematics and Physics, Queen's University Belfast, Belfast, Northern Ireland.ORCID 0000-0001-9470-7223
Gerard M WallsCancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, Northern Ireland.
Louise BelshawCancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, Northern Ireland.
Christina E AgnewCancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, Northern Ireland.
Jonathan McAleeseCancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, Northern Ireland.
Glenn WhittenCancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, Northern Ireland.
Denise M IrvineCancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, Northern Ireland.
Alan R HounsellCancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, Northern Ireland.
Conor K McGarryCancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, Northern Ireland.
Belfast Health and Social Care Trust · GBQueen's University Belfast · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to analyse lung tumour motion and to investigate the correlation between the internal tumour motion acquired from four-dimensional computed tomography (4DCT) and the motion of an external surrogate.

methodsA data set of 363 4DCT images was analysed. Tumours were classified based on their anatomical lobes. The recorded gross tumour volume (GTV) information included the centroid GTV motion in the superior-inferior, anteroposterior and left-right directions, and in three-dimensions (3D). For the internal/external correlation, the RPM surrogate breathing signals of 260 patients were analysed via an in-house script. The external motion was correlated with the 3D centroid motion, and the maximum tumour motion via Spearman's correlation. The effect of tumour volume on the amount of motion was evaluated.

resultsThe greatest 3D tumour amplitude was found for tumours located in the lower part of the lung, with a maximum of 26.7 mm. The Spearman's correlation of the internal 3D motion was weak in the upper (

conclusionOur results suggest that tumour location can be a good predictor of its motion. However, tumour size is a poor predictor of the motion. ADVANCES IN KNOWLEDGE: This knowledge of the distribution of tumour motion throughout the thoracic regions will be valuable to research groups investigating the refinement of motion management strategies.

Indexed as

Lung NeoplasmsRadiotherapy Planning, Computer-AssistedFour-Dimensional Computed TomographyHumansLungMotionMovementRespiration

Identifiers

PMID37393541
PMCPMC10461274
OpenAlexW4382881412

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.