Why the study?
While near-infrared fluorescence imaging assesses tissue perfusion across surgical fields, there is large variety in perfusion parameter calculations.
What are the most potential perfusion parameters for application in near-infrared fluorescence imaging with indocyanine green?
What are the most potential perfusion parameters for application in near-infrared fluorescence imaging with indocyanine green?
Time-related parameters appear superior to absolute intensity parameters for quantifying perfusion in near-infrared fluorescence imaging with indocyanine green.
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Time-related NIRF-ICG parameters should be prioritized for perfusion assessment; extends evidence by highlighting heterogeneity versus intensity metrics.
(1) Background: Near-infrared fluorescence imaging is a technique capable of assessing tissue perfusion and has been adopted in various fields including plastic surgery, vascular surgery, coronary arterial disease, and gastrointestinal surgery. While the usefulness of this technique has been broadly explored, there is a large variety in the calculation of perfusion parameters. In this systematic review, we aim to provide a detailed overview of current perfusion parameters, and determine the perfusion parameters with the most potential for application in near-infrared fluorescence imaging. (2) Methods: A comprehensive search of the literature was performed in Pubmed, Embase, Medline, and Cochrane Review. We included all clinical studies referencing near-infrared perfusion parameters. (3) Results: A total of 1511 articles were found, of which, 113 were suitable for review, with a final selection of 59 articles. Near-infrared fluorescence imaging parameters are heterogeneous in their correlation to perfusion. Time-related parameters appear superior to absolute intensity parameters in a clinical setting. (4) Conclusions: This literature review demonstrates the variety of parameters selected for the quantification of perfusion in near-infrared fluorescence imaging.
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Goncalves et al. (2021) studied this question.
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