Evidence map›Paper›PMID 32968913›Full record

ArticleSurgical endoscopy2021

Quantification of ICG fluorescence for the evaluation of intestinal perfusion: comparison between two software-based algorithms for quantification.

Kristina Gosvig, Signe Steenstrup Jensen, Niels Qvist, Nikolaj Nerup, Vincent Agnus, Michele Diana, Mark Bremholm Ellebæk

Abstract read
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In one paragraph

Article in Surgical endoscopy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

7 authors.

Kristina GosvigResearch Unit for Surgery, Odense University Hospital, J. B. Winsløws Vej 4, Indgang 20, Penthouse, 5000, Odense C, Denmark. kristinagosvig@gmail.com.ORCID 0000-0001-6699-355X
Signe Steenstrup JensenResearch Unit for Surgery, Odense University Hospital, J. B. Winsløws Vej 4, Indgang 20, Penthouse, 5000, Odense C, Denmark.
Niels QvistResearch Unit for Surgery, Odense University Hospital, J. B. Winsløws Vej 4, Indgang 20, Penthouse, 5000, Odense C, Denmark.
Nikolaj NerupDepartment of Surgical Gastroenterology, Rigshospitalet Copenhagen University Hospital, Blegdamsvej 9, Afsnit 2212, 2100, Copenhagen, Denmark.
Vincent AgnusIHU-Strasbourg, Institute of Image-Guided Surgery, 1 Place de l'Hôpital, 67091, Strasbourg, France.
Michele DianaIHU-Strasbourg, Institute of Image-Guided Surgery, 1 Place de l'Hôpital, 67091, Strasbourg, France.
Mark Bremholm EllebækResearch Unit for Surgery, Odense University Hospital, J. B. Winsløws Vej 4, Indgang 20, Penthouse, 5000, Odense C, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndocyanine green fluorescence imaging (ICG-FI) can be used to evaluate intestinal perfusion prior to anastomosis. Several software for the quantification of fluorescence have emerged, but these have not previously been compared. The aim of this study was to compare the results from quantitative ICG-FI analysis of relative perfusion in an experimental setting using two different software-based quantification algorithms (FLER and Q-ICG).

methodsTwenty pigs received a laparotomy, and ischemic areas were created in three segments of the small intestine of each pig. For each ischemic area, fluorescence imaging was performed and the fluorescence recordings were quantitatively analyzed using FLER and Q-ICG. The quantitative analysis resulted in a set of perfusion lines for each software for either 30%, 60% or 100% relative perfusion. The perfusion lines were compared by registering the normalized slope for each set of perfusion lines, calculating the relative perfusion percentage in the FLER perfusion line according to Q-ICG, and measuring the length of the ischemic area for each analysis.

resultsFifty-four fluorescence recordings from 18 pigs were included. The ischemic segment for FLER was significantly longer in the 30% perfusion group and significantly shorter in the 100% perfusion group as compared to Q-ICG. The normalized slope for the FLER perfusion lines was significantly higher in the 30% perfusion group and significantly lower in the 100% perfusion group as compared to the Q-ICG perfusion lines. For the perfusion lines defined by FLER as 30%, 60%, and 100%, Q-ICG found 35.2% (p = 0.07), 63.7% (p = 0.31), and 84.1% perfusion (p = 0.003) respectively.

conclusionThe two software demonstrated significant differences in quantitative fluorescence analysis when perfusion was either very high or very low. The clinical relevance of these differences is unclear.

Indexed as

AlgorithmsIndocyanine GreenAnastomosis, SurgicalAnimalsPerfusionSoftwareSwineIndocyanine GreenAbdominal surgeryExperimental surgeryFluorescence-guided surgeryIndocyanine greenPerfusion imagingQuantification of fluorescence

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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.