Evidence map›Paper›PMID 38496695›Full record

ArticleTranslational lung cancer research2024

Fibre-based fluorescence-lifetime imaging microscopy: a real-time biopsy guidance tool for suspected lung cancer.

Susan Fernandes, Elvira Williams, Neil Finlayson, Hazel Stewart, Catharine Dhaliwal, David A Dorward, William A Wallace, Ahsan R Akram, James Stone, Kevin Dhaliwal and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Translational lung cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 8 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

11 authors at 3 institutions in 1 country.

Susan FernandesTranslational Healthcare Technologies Group, Centre for Inflammation Research, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK.
Elvira WilliamsTranslational Healthcare Technologies Group, Centre for Inflammation Research, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK.
Neil FinlaysonTranslational Healthcare Technologies Group, Centre for Inflammation Research, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK.
Hazel StewartTranslational Healthcare Technologies Group, Centre for Inflammation Research, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK.
Catharine DhaliwalDepartment of Pathology, NHS Lothian, Western General Hospital, Edinburgh, UK.
David A DorwardTranslational Healthcare Technologies Group, Centre for Inflammation Research, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK.
William A WallaceDepartment of Pathology, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, UK.
Ahsan R AkramTranslational Healthcare Technologies Group, Centre for Inflammation Research, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK.
James StoneTranslational Healthcare Technologies Group, Centre for Inflammation Research, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK.
Kevin DhaliwalTranslational Healthcare Technologies Group, Centre for Inflammation Research, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK.
Gareth O S WilliamsTranslational Healthcare Technologies Group, Centre for Inflammation Research, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK.
University of Bath · GBUniversity of Edinburgh · GBWestern General Hospital · GB

Funding

Medical Research Council MR/R017794/1Wellcome Trust
6 · The paper itself

Abstract

Lung cancer is the most common cause of cancer-related deaths worldwide. Early detection improves outcomes, however, existing sampling techniques are associated with suboptimal diagnostic yield and procedure-related complications. Autofluorescence-based fluorescence-lifetime imaging microscopy (FLIM), a technique which measures endogenous fluorophore decay rates, may aid identification of optimal biopsy sites in suspected lung cancer. Our fibre-based fluorescence-lifetime imaging system, utilising 488 nm excitation, which is deliverable via existing diagnostic platforms, enables real-time visualisation and lifetime analysis of distal alveolar lung structure. We evaluated the diagnostic accuracy of the fibre-based fluorescence-lifetime imaging system to detect changes in fluorescence lifetime in freshly resected

Indexed as

diagnostic imagingfibre-opticsinterventional pulmonologyLung canceroptical imaging

Identifiers

PMID38496695
PMCPMC10938104
OpenAlexW4392787546

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.