Evidence map›Paper›PMID 36700999›Full record

ReviewLangenbeck's archives of surgery2023

Quantitative perfusion assessment using indocyanine green during surgery - current applications and recommendations for future use.

P Van Den Hoven, J Osterkamp, N Nerup, M B S Svendsen, Alexander Vahrmeijer, J R Van Der Vorst, M P Achiam

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

Review in Langenbeck's archives of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 pooled it
8.7field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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  8. Maximal Systolic Acceleration and Near-Infrared Fluorescence Imaging With Indocyanine Green as Predictors for Successful Lower Extremity Revascularization.Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists · 2026
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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 at 3 institutions in 2 countries.

P Van Den HovenDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands. P.van_den_hoven@lumc.nl.ORCID http://orcid.org/0000-0002-5067-560X
J OsterkampDepartment of Surgery and Transplantation, Copenhagen University Hospital Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-6329-2707
N NerupDepartment of Surgery and Transplantation, Copenhagen University Hospital Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-4066-2925
M B S SvendsenCAMES Engineering, Copenhagen Academy for Medical Education and Simulation, Centre for Human Resources and Education, The Capital Region of Denmark, Copenhagen, Denmark.
Alexander VahrmeijerDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
J R Van Der VorstDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-0669-4272
M P AchiamDepartment of Surgery and Transplantation, Copenhagen University Hospital Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-3062-5138
Copenhagen University Hospital · DKLeiden University Medical Center · NLCopenhagen Academy for Medical Education and Simulation · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIncorrect assessment of tissue perfusion carries a significant risk of complications in surgery. The use of near-infrared (NIR) fluorescence imaging with Indocyanine Green (ICG) presents a possible solution. However, only through quantification of the fluorescence signal can an objective and reproducible evaluation of tissue perfusion be obtained. This narrative review aims to provide an overview of the available quantification methods for perfusion assessment using ICG NIR fluorescence imaging and to present an overview of current clinically utilized software implementations.

methodsPubMed was searched for clinical studies on the quantification of ICG NIR fluorescence imaging to assess tissue perfusion. Data on the utilized camera systems and performed methods of quantification were collected.

resultsEleven software programs for quantifying tissue perfusion using ICG NIR fluorescence imaging were identified. Five of the 11 programs have been described in three or more clinical studies, including Flow® 800, ROIs Software, IC Calc, SPY-Q™, and the Quest Research Framework®. In addition, applying normalization to fluorescence intensity analysis was described for two software programs.

conclusionSeveral systems or software solutions provide a quantification of ICG fluorescence; however, intraoperative applications are scarce and quantification methods vary abundantly. In the widespread search for reliable quantification of perfusion with ICG NIR fluorescence imaging, standardization of quantification methods and data acquisition is essential.

Indexed as

Indocyanine GreenHumansPerfusionIndocyanine GreenIndocyanine greenNear-infrared fluorescence imagingPerfusionQuantification

Identifiers

PMID36700999
PMCPMC9879827
OpenAlexW4318049698

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.