Evidence map›Paper›PMID 35236169›Full record

ArticleJournal of endovascular therapy : an official journal of the International Society of Endovascular Specialists2023

Normalization of Time-Intensity Curves for Quantification of Foot Perfusion Using Near-Infrared Fluorescence Imaging With Indocyanine Green.

Pim Van Den Hoven, Floris Tange, Jurrian Van Der Valk, Nikolaj Nerup, Hein Putter, Catharina Van Rijswijk, Jan Van Schaik, Abbey Schepers, Alexander Vahrmeijer, Jaap Hamming and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 2 institutions in 2 countries.

Pim Van Den HovenDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Floris TangeDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Jurrian Van Der ValkDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Nikolaj NerupDepartment of Surgical Gastroenterology, Copenhagen University Hospital, Copenhagen, Denmark.ORCID 0000-0003-4066-2925
Hein PutterDepartment of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands.
Catharina Van RijswijkDepartment of Interventional Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Jan Van SchaikDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-6489-2162
Abbey SchepersDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Alexander VahrmeijerDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Jaap HammingDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Joost Van Der VorstDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-0669-4272
Leiden University Medical Center · NLCopenhagen University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNear-infrared (NIR) fluorescence imaging using indocyanine green (ICG) is gaining popularity for the quantification of tissue perfusion, including foot perfusion in patients with lower extremity arterial disease (LEAD). However, the absolute fluorescence intensity is influenced by patient-and system-related factors limiting reliable and valid quantification. To enhance the quality of quantitative perfusion assessment using ICG NIR fluorescence imaging, normalization of the measured time-intensity curves seems useful. MATERIALS AND

methodsIn this cohort study, the effect of normalization on 2 aspects of ICG NIR fluorescence imaging in assessment of foot perfusion was measured: the repeatability and the region selection. Following intravenous administration of ICG, the NIR fluorescence intensity in both feet was recorded for 10 mins using the Quest Spectrum platform

resultsSuccessful ICG NIR fluorescence imaging was performed in 54 patients (repeatability group, n = 38; region selection group, n = 16). For the repeatability group, normalization of the time-intensity curves displayed a comparable inflow pattern for repeated measurements. For the region selection group, the maximum fluorescence intensity (Imax) demonstrated significant differences between the 3 measured regions of the foot (

conclusionThis study shows the effect of normalization of time-intensity curves on both the repeatability and region selection in ICG NIR fluorescence imaging. The significant difference between absolute parameters in various regions of the foot demonstrates the limitation of absolute intensity in interpreting tissue perfusion. Therefore, normalization and standardization of camera settings are essential steps toward reliable and valid quantification of tissue perfusion using ICG NIR fluorescence imaging.

Indexed as

Indocyanine GreenLower ExtremityCohort StudiesHumansOptical ImagingPerfusionTreatment OutcomeIndocyanine Greenindocyanine greenlower extremity arterial diseasenear-infrared fluorescence imagingnormalizationperfusionperipheral artery diseasequantification

Identifiers

PMID35236169
PMCPMC10209496
OpenAlexW4214907362

What OpenQuestion holds

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LicenceCC BY
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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.