Evidence map›Paper›PMID 27990658›Full record

ArticleLasers in surgery and medicine2017

Identification of liver metastases with probe-based confocal laser endomicroscopy at two excitation wavelengths.

Crispin Schneider, Sean P Johnson, Kurinchi Gurusamy, Richard J Cook, Adrien E Desjardins, David J Hawkes, Brian R Davidson, Simon Walker-Samuel

Open access · hybridAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Lasers in surgery and medicine, 2017. 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
0.8field-weighted citation impact, top 22% 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, 14 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

8 authors at 3 institutions in 1 country.

Crispin SchneiderDivision of Surgery & Interventional Science, University College London, Floor 9, Royal Free Hospital, London, NW3 2QG, UK.
Sean P JohnsonUCL Centre for Advanced Biomedical Imaging, Paul O'Gorman Building, University College London, 72 Huntley Street, London, WC1E 6DD, UK.
Kurinchi GurusamyDivision of Surgery & Interventional Science, University College London, Floor 9, Royal Free Hospital, London, NW3 2QG, UK.
Richard J CookDepartment of Tissue Engineering and Biophotonics, King's College London, Dental Institute-Central Office, Floor 18, Guy's Tower, Guy's Hospital, London, SE1 9RT, UK.
Adrien E DesjardinsDepartment of Medical Physics and Biomedical Engineering, University College London, Malet Place Engineering Building, Gower Street, London, WC1E 6BT, UK.
David J HawkesCentre for Medical Image Computing, University College London, The Front Engineering Building, Floor 3, Malet Place, London, WC1E 7JE, UK.
Brian R DavidsonDivision of Surgery & Interventional Science, University College London, Floor 9, Royal Free Hospital, London, NW3 2QG, UK.
Simon Walker-SamuelUCL Centre for Advanced Biomedical Imaging, Paul O'Gorman Building, University College London, 72 Huntley Street, London, WC1E 6DD, UK.
University College London · GBThe Royal Free Hospital · GBKing's College London · GB

Funding

Cancer Research UK 16463Department of Health 10/4001/11Wellcome Trust WT100247MA
6 · The paper itself

Abstract

backgroundMetastasis of colorectal cancer to the liver is the most common indication for hepatic resection in a western population. Incomplete excision of malignancy due to residual microscopic disease normally results in worse patient outcome. Therefore, a method aiding in the real time discrimination of normal and malignant tissue on a microscopic level would be of benefit. MATERIAL AND

methodsThe ability of fluorescent probe-based confocal laser endomicroscopy (pCLE) to identify normal and malignant liver tissue was evaluated in an orthotopic murine model of colorectal cancer liver metastasis (CRLM). To maximise information yield, two clinical fluorophores, fluorescein and indocyanine green (ICG) were injected and imaged in a dual wavelength approach (488 and 660 nm, respectively). Visual tissue characteristics on pCLE examination were compared with histological features. Fluorescence intensity in both tissues was statistically analysed to elucidate if this can be used to differentiate between normal and malignant tissue.

resultsFluorescein (488 nm) enabled good visualisation of normal and CRLM tissue, whereas ICG (660 nm) visualisation was limited to normal liver tissue only. Fluorescence intensity in areas of CRLM was typically 53-100% lower than normal hepatic parenchyma. Using general linear mixed modelling and receiver operating characteristic analysis, high fluorescence intensity was found to be statistically more likely in normal hepatic tissue.

conclusionReal time discrimination between normal liver parenchyma and metastatic tissue with pCLE examination of fluorescein and ICG is feasible. Employing two (rather than a single) fluorophores allows a combination of qualitative and quantitative characteristics to be used to distinguish between hepatic parenchyma and CRLM. Lasers Surg. Med. 49:280-292, 2017. © 2016 Wiley Periodicals, Inc.

Indexed as

FluoresceinAnimalsBiopsy, NeedleDisease Models, AnimalFemaleHumansImmunohistochemistryLiver NeoplasmsMiceMice, Inbred StrainsMicroscopy, ConfocalRandom AllocationReference ValuesFluoresceinconfocal laser endomicroscopyfluoresceinfluorescence microscopyindocyanine greenliver metastasesvirtual histology

Identifiers

PMID27990658
PMCPMC5396307
OpenAlexW2564607919

What OpenQuestion holds

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LicenceCC BY
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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.