Evidence map›Paper›PMID 41970562›Full record

ArticleBiomedical optics express2026

Wide-field and non-invasive imaging of brain tumours with scattered light techniques.

Philip Binner, Jack Radford, Ilya Starshynov, Mansa Madhusudan, Karen Strathdee, Katrina Stevenson, Matthew Walker, Giuseppe Ciccone, Gonzalo Tejeda, Andrew B Tobin and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Biomedical optics express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Philip BinnerAdvanced Research Centre, School of Physics and Astronomy, University of Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-7996-7155
Jack RadfordAdvanced Research Centre, School of Physics and Astronomy, University of Glasgow, United Kingdom.ORCID https://orcid.org/0000-0003-4807-1628
Ilya StarshynovAdvanced Research Centre, School of Physics and Astronomy, University of Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-6656-9123
Mansa MadhusudanAdvanced Research Centre, School of Physics and Astronomy, University of Glasgow, United Kingdom.ORCID https://orcid.org/0009-0008-7949-4539
Karen StrathdeeWolfson Wohl Cancer Research Centre, School of Cancer Sciences, University of Glasgow, United Kingdom.
Katrina StevensonWolfson Wohl Cancer Research Centre, School of Cancer Sciences, University of Glasgow, United Kingdom.
Matthew WalkerAdvanced Research Centre, James Watt School of Engineering, University of Glasgow, United Kingdom.
Giuseppe CicconeAdvanced Research Centre, James Watt School of Engineering, University of Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-7677-6257
Gonzalo TejedaAdvanced Research Centre, School of Molecular Biosciences, University of Glasgow, United Kingdom.
Andrew B TobinAdvanced Research Centre, School of Molecular Biosciences, University of Glasgow, United Kingdom.
Massimo VassalliAdvanced Research Centre, James Watt School of Engineering, University of Glasgow, United Kingdom.
Anthony J ChalmersWolfson Wohl Cancer Research Centre, School of Cancer Sciences, University of Glasgow, United Kingdom.
Jinendra EkanayakeStanford Neuroscience Health Center, Stanford University, USA.
Daniele FaccioAdvanced Research Centre, School of Physics and Astronomy, University of Glasgow, United Kingdom.ORCID https://orcid.org/0000-0001-8397-334X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to identify tumour tissue in a label-free, contactless, and real-time manner is much needed in tumour resection surgery. Current techniques cause interruptions to surgical flow and have high false positive rates, which can cause collateral damage to healthy brain tissue. We propose laser light scattering techniques, such as diffuse correlation spectroscopy and laser speckle contrast imaging, to image mechanical stiffness differences in the brain's surface associated with tumour tissue. We validate the optimal processing technique quantitatively with a controlled experiment in which paraformaldehyde was used to induce a change in tissue stiffness in ex vivo mouse brains. We then demonstrate that the technique applies to tumour localisation using ex vivo mouse models with real tumours. Qualitative comparisons with magnetic resonance imaging indicate accurate tumour localisation using only surface stiffness changes to underlying tumours. We also demonstrate sub-millimetre precision when imaging brain slices.

Identifiers

PMID41970562
PMCPMC13064597

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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.