Evidence map›Paper›PMID 31015458›Full record

ArticleNature communications2019

A clinically translatable hyperspectral endoscopy (HySE) system for imaging the gastrointestinal tract.

Jonghee Yoon, James Joseph, Dale J Waterhouse, A Siri Luthman, George S D Gordon, Massimiliano di Pietro, Wladyslaw Januszewicz, Rebecca C Fitzgerald, Sarah E Bohndiek

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 3 pooled it
–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

56 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  14. LED-based, real-time, hyperspectral imaging device.Journal of medical imaging (Bellingham, Wash.) · 2025
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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

9 authors.

Jonghee YoonDepartment of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK.ORCID http://orcid.org/0000-0003-3886-2792
James JosephDepartment of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK.ORCID http://orcid.org/0000-0001-6270-2559
Dale J WaterhouseDepartment of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK.ORCID http://orcid.org/0000-0001-5530-6857
A Siri LuthmanDepartment of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK.
George S D GordonDepartment of Engineering, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0FA, UK.
Massimiliano di PietroMRC Cancer Unit, Hutchison/MRC Research Centre, University of Cambridge, Cambridge, CB2 0XZ, UK.
Wladyslaw JanuszewiczMRC Cancer Unit, Hutchison/MRC Research Centre, University of Cambridge, Cambridge, CB2 0XZ, UK.
Rebecca C FitzgeraldMRC Cancer Unit, Hutchison/MRC Research Centre, University of Cambridge, Cambridge, CB2 0XZ, UK.ORCID http://orcid.org/0000-0002-3434-3568
Sarah E BohndiekDepartment of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK. seb53@cam.ac.uk.ORCID http://orcid.org/0000-0003-0371-8635

Funding

Cancer Research UK 16267Cancer Research UK 21102Cancer Research UK 21142Cancer Research UK 24669Cancer Research UK 26851Medical Research Council MC_PC_13059
6 · The paper itself

Abstract

Hyperspectral imaging (HSI) enables visualisation of morphological and biochemical information, which could improve disease diagnostic accuracy. Unfortunately, the wide range of image distortions that arise during flexible endoscopy in the clinic have made integration of HSI challenging. To address this challenge, we demonstrate a hyperspectral endoscope (HySE) that simultaneously records intrinsically co-registered hyperspectral and standard-of-care white light images, which allows image distortions to be compensated computationally and an accurate hyperspectral data cube to be reconstructed as the endoscope moves in the lumen. Evaluation of HySE performance shows excellent spatial, spectral and temporal resolution and high colour fidelity. Application of HySE enables: quantification of blood oxygenation levels in tissue mimicking phantoms; differentiation of spectral profiles from normal and pathological ex vivo human tissues; and recording of hyperspectral data under freehand motion within an intact ex vivo pig oesophagus model. HySE therefore shows potential for enabling HSI in clinical endoscopy.

Indexed as

AnimalsChickensEndoscopesEsophagoscopyEsophagusGastroscopyHumansImage Interpretation, Computer-AssistedModels, BiologicalPhantoms, ImagingStomachSwine

Identifiers

PMID31015458
PMCPMC6478902

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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.