Evidence map›Paper›PMID 42529591›Full record

ArticleChemical & biomedical imaging2026

Beveled Fiber Probe for Improving Spectroscopic Signal Sensing from Bowel Mucosa Tissue.

Omer Karaborklu, Venkataraman Subramanian, Animesh Jha

Abstract read
In one paragraph

Article in Chemical & biomedical imaging, 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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0cells of the map it votes in
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

3 authors.

Omer KaraborkluSchool of Chemical and Process Engineering, Engineering and Physical Sciences, University of Leeds, Woodhouse, Leeds LS2 9JT, United Kingdom.ORCID https://orcid.org/0009-0008-3988-4778
Venkataraman SubramanianMolecular Gastroenterology, St. James University Hospital, University of Leeds, Harehills, Leeds LS9 7TF, United Kingdom.
Animesh JhaSchool of Chemical and Process Engineering, Engineering and Physical Sciences, University of Leeds, Woodhouse, Leeds LS2 9JT, United Kingdom.ORCID https://orcid.org/0000-0003-3150-5645

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this work is to devise an optical fiber probe configuration for fiber fluorescence spectroscopy to improve its diagnostic capability in gastrointestinal (GI) cancers. Proposed design upgrades to the probe's distal tip showed a major increase in spectroscopic signal sensing compared to standard probes, indicating that the accuracy of the method may be improved significantly. GI cancers are globally common and mostly seen in the colon, stomach, and esophagus, where current diagnosis is made using endoscopy and histopathology. However, endoscopy cannot visualize early signs of cancer, while histopathology requires a biopsy and takes several weeks to conclude. Fiber spectroscopy may provide rapid and robust diagnostics at early stages in vivo or ex vivo and may be able to guide clinical decisions to further curtail the risk of advancing to later stages of cancer. However, its medical diagnostic performance has not reached the gold standard level yet and, thus, needs to be studied further to improve its accuracy. Therefore, we demonstrate the application of a beveled probe tip and specific fiber positioning in a combinatorial approach and experimentally compare the design with several standard probes to assess their efficiencies. Results show that the proposed probe is notably more efficient in collecting fluorescent signals from excised small human colon tissues. Findings of the current study may help in implementing an alternative rapid path for histopathological standardization ex vivo for unambiguous decision making and may enhance the precision of endoscope-adapted in vivo fiber spectroscopy to provide real-time and noninvasive early diagnosis in GI cancers.

Indexed as

adenomas tissuebowel and colon carcinomafluorescencegastrointestinal diagnosisoptical fiber probespectroscopy

Identifiers

PMID42529591
PMCPMC13417535

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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.