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.
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.
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.
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.
Who cites it
16 citing papers in PubMed, 27 citations in OpenAlex.
- Quantification of sigmoid perfusion with near-infrared fluorescence and indocyanine green during open abdominal aortic aneurysm reconstruction.Journal of vascular surgery cases and innovative techniques · 2026Article
- 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 · 2026Article
- Article
- Intraoperative use of NIRF following iatrogenic injury and reconstruction of the right gastroepiploic artery during esophagectomy: a case report.International journal of surgery case reports · 2026Article
- Cross-software comparison shows strong agreement for quantitative indocyanine green fluorescence angiography in reconstructive surgery.Frontiers in surgery · 2026Article
- Standardized and Quantitative ICG Perfusion Assessment: Feasibility and Reproducibility in a Multicentre Setting.Life (Basel, Switzerland) · 2025Article
- Technological Advances in Intra-Operative Navigation: Integrating Fluorescence, Extended Reality, and Artificial Intelligence.Journal of clinical medicine · 2025Review
- Intraoperative assessment of myocardial perfusion using near-infrared fluorescence and indocyanine green: A literature review.JTCVS techniques · 2025Article
- Establishing reference curves for vital tissue perfusion using quantitative near-infrared fluorescence imaging with indocyanine green.Langenbeck's archives of surgery · 2025Article
- Additional evidence from a case report supports a novel hypothesis on the association between complex regional pain syndrome and lymphedema.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- Article
- Case Report: The application of novel imaging technologies in lower extremity peripheral artery disease: NIR-II imaging, OCTA, and LSFG.Frontiers in cardiovascular medicine · 2024Article
- Quantification of indocyanine green near-infrared fluorescence bowel perfusion assessment in colorectal surgery.Surgical endoscopy · 2023Article
- Fluorescence-guided surgery: comprehensive review.BJS open · 2023Review
- Quantitative perfusion assessment using indocyanine green during surgery - current applications and recommendations for future use.Langenbeck's archives of surgery · 2023Review
- Near-Infrared Fluorescence Imaging for Intraoperative Perfusion Assessment of the Bone During Elective Non-union Surgery: A Feasibility Study.JB & JS open accessArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.