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Maximal Systolic Acceleration and Near-Infrared Fluorescence Imaging With Indocyanine Green as Predictors for Successful Lower Extremity Revascularization.

Authors :
Kruiswijk MW
Willems SA
Koning S
Tange FP
J W M Brouwers J
Peul RC
van Schaik J
Schepers A
Hamming J
van der Bogt KEA
van Rijswijk CSP
Vahrmeijer AL
van den Hoven P
van der Vorst JR
Source :
Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists [J Endovasc Ther] 2024 Sep 05, pp. 15266028241274568. Date of Electronic Publication: 2024 Sep 05.
Publication Year :
2024
Publisher :
Ahead of Print

Abstract

Background: Patients with lower extremity arterial disease (LEAD) frequently require revascularization procedures. Currently used diagnostic methods are insufficient in predicting successful outcomes and focus on macrovascular rather than microvascular state. Several promising modalities to increase diagnostic accuracy are emerging, including maximal systolic acceleration (ACC <subscript>max</subscript> ), measured by duplex ultrasound (DUS). For the assessment of tissue perfusion, near-infrared fluorescence (NIR) imaging using indocyanine green (ICG) demonstrates promising results. This study aims to identify the usefulness of combining these two methods for macrovascular and microvascular perfusion assessment to predict successful clinical outcomes.<br />Methods: A retrospective study was performed collecting preinterventional and postinterventional DUS and ICG NIR fluorescence imaging measurements from LEAD patients undergoing revascularization. The correlation between the preinterventional and postinterventional perfusion parameters, described as the delta (Δ) ACC <subscript>max</subscript> and ΔICG NIR fluorescence parameters, were analyzed. Improvements in perfusion parameters were compared to clinical outcomes, defined as improvement in pain-free walking distance, freedom from rest pain, or tendency toward wound and ulcer healing.<br />Results: A total of 38 patients (42 limbs) were included. ACC <subscript>max</subscript> and ICG NIR fluorescence perfusion parameters improved significantly after revascularization (p<0.001). Patients with a poor clinical outcome had a significantly lower improvement of both parameters after revascularization (p<0.001-0.016). Lack of correlation was found between the delta of ACC <subscript>max</subscript> and ICG NIR fluorescence imaging. Multiple non-congruent improvements of macrovascular parameters (ACC <subscript>max</subscript> ) and perfusion (ICG NIR fluorescence) were seen within patients. However, for all patients with a successful clinical outcome, at least one parameter improved.<br />Conclusion: Combining ACC <subscript>max</subscript> and ICG NIR fluorescence imaging revealed improvement in at least one parameter within all patients with a successful clinical outcome. This study highlights the potential of assessing both the macrovascular state and tissue perfusion following lower extremity revascularization, as both appear to reflect different aspects of vascularization.<br />Clinical Impact: Numerous techniques have been developed to assess tissue perfusion to predict clinical outcomes following revascularization in patients with peripheral artery disease. However, none are widely implemented in clinical practice. This study emphasized the importance of employing multiple modalities from different perspectives for more accurate prediction. By focusing on both the macrovascular state and tissue perfusion, clinicians can better guide themselves in their treatment strategies.<br />Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Details

Language :
English
ISSN :
1545-1550
Database :
MEDLINE
Journal :
Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists
Publication Type :
Academic Journal
Accession number :
39234961
Full Text :
https://doi.org/10.1177/15266028241274568