Evidence map›Paper›PMID 39006164›Full record

ArticleOptica2024

T staging esophageal tumors with x rays.

T Partridge, P Wolfson, J Jiang, L Massimi, A Astolfo, N Djurabekova, S Savvidis, C J Maughan Jones, C K Hagen, E Millard and 22 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Optica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

32 authors.

T PartridgeDepartment of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.ORCID https://orcid.org/0000-0001-8135-2099
P WolfsonDepartment of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.
J JiangDepartment of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.
L MassimiDepartment of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.ORCID https://orcid.org/0000-0001-6191-869X
A AstolfoDepartment of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.
N DjurabekovaDepartment of Computer Science, UCL, London WC1E 6BT, UK.
S SavvidisDepartment of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.
C J Maughan JonesDepartment of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.ORCID https://orcid.org/0000-0002-5237-3330
C K HagenDepartment of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.
E MillardNikon X-Tek Systems Ltd., Tring, Herts HP23 4JX, UK.
W ShorrockNikon X-Tek Systems Ltd., Tring, Herts HP23 4JX, UK.
R M WalthamNikon X-Tek Systems Ltd., Tring, Herts HP23 4JX, UK.
I G HaigNikon X-Tek Systems Ltd., Tring, Herts HP23 4JX, UK.
D BateDepartment of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.
K M A HoDivision of Surgery and Interventional Science, UCL, London WC1E 6BT, UK.
H Mc BainDivision of Surgery and Interventional Science, UCL, London WC1E 6BT, UK.
A WilsonDivision of Surgery and Interventional Science, UCL, London WC1E 6BT, UK.
A HoganDivision of Surgery and Interventional Science, UCL, London WC1E 6BT, UK.
H DelaneyDepartment of Histopathology, UCL, London WC1E 6BT, UK.
A LiyadipitaDepartment of Histopathology, UCL, London WC1E 6BT, UK.
A P LevineDepartment of Histopathology, UCL, London WC1E 6BT, UK.
K DawasDepartment of Upper Gastro-Intestinal Surgery, UCLH, London NW1 2BU, UK.
B MohammadiDepartment of Upper Gastro-Intestinal Surgery, UCLH, London NW1 2BU, UK.
Y A QureshiDepartment of Upper Gastro-Intestinal Surgery, UCLH, London NW1 2BU, UK.
M D ChouhanCenter for Medical Imaging, Division of Medicine, UCL, London WC1E 6BT, UK.
S A TaylorCenter for Medical Imaging, Division of Medicine, UCL, London WC1E 6BT, UK.
M MughalDepartment of Upper Gastro-Intestinal Surgery, UCLH, London NW1 2BU, UK.
P R T MunroDepartment of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.ORCID https://orcid.org/0000-0001-9306-3673
M EndrizziDepartment of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.ORCID https://orcid.org/0000-0002-7810-2301
M NovelliResearch Department of Pathology, Cancer Institute, UCLH, London NW1 2BU, UK.
L B LovatDivision of Surgery and Interventional Science, UCL, London WC1E 6BT, UK.
A OlivoDepartment of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.ORCID https://orcid.org/0000-0002-7150-2951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With histopathology results typically taking several days, the ability to stage tumors during interventions could provide a step change in various cancer interventions. X-ray technology has advanced significantly in recent years with the introduction of phase-based imaging methods. These have been adapted for use in standard labs rather than specialized facilities such as synchrotrons, and approaches that enable fast 3D scans with conventional x-ray sources have been developed. This opens the possibility to produce 3D images with enhanced soft tissue contrast at a level of detail comparable to histopathology, in times sufficiently short to be compatible with use during surgical interventions. In this paper we discuss the application of one such approach to human esophagi obtained from esophagectomy interventions. We demonstrate that the image quality is sufficiently high to enable tumor

Identifiers

PMID39006164
PMCPMC11239146

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.