Near-Infrared Fluorescence Imaging With Indocyanine Green to Predict Clinical Outcome After Revascularization in Lower Extremity Arterial Disease.

clinical outcome indocyanine green lower extremity arterial disease near-infrared fluorescence revascularization

Journal

Angiology
ISSN: 1940-1574
Titre abrégé: Angiology
Pays: United States
ID NLM: 0203706

Informations de publication

Date de publication:
26 Jun 2023
Historique:
medline: 26 6 2023
pubmed: 26 6 2023
entrez: 26 6 2023
Statut: aheadofprint

Résumé

Contemporary quality control methods are often insufficient in predicting clinical outcomes after revascularization in lower extremity arterial disease (LEAD) patients. This study evaluates the potential of near-infrared fluorescence imaging with indocyanine green to predict the clinical outcome following revascularization. Near-infrared fluorescence imaging was performed before and within 5 days following the revascularization procedure. Clinical improvement was defined as substantial improvement of pain free walking distance, reduction of rest- and/or nocturnal pain, or tendency toward wound healing. Time-intensity curves and 8 perfusion parameters were extracted from the dorsum of the treated foot. The quantified postinterventional perfusion improvement was compared within the clinical outcome groups. Successful near-infrared fluorescence imaging was performed in 72 patients (76 limbs, 52.6% claudication, 47.4% chronic limb-threatening ischemia) including 40 endovascular- and 36 surgical/hybrid revascularizations. Clinical improvement was observed in 61 patients. All perfusion parameters showed a significant postinterventional difference in the clinical improvement group (

Identifiants

pubmed: 37358400
doi: 10.1177/00033197231186096
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

33197231186096

Auteurs

Floris P Tange (FP)

Department of Surgery, Leiden University Medical Center, The Netherlands.

Pim van den Hoven (P)

Department of Surgery, Leiden University Medical Center, The Netherlands.

Jan van Schaik (J)

Department of Surgery, Leiden University Medical Center, The Netherlands.

Abbey Schepers (A)

Department of Surgery, Leiden University Medical Center, The Netherlands.

Koen E A van der Bogt (KEA)

Department of Surgery, Leiden University Medical Center, The Netherlands.

Catharina S P van Rijswijk (CSP)

Department of Interventional Radiology, Leiden University Medical Center, The Netherlands.

Hein Putter (H)

Department of Medical Statistics, Leiden University Medical Center, The Netherlands.

Alexander L Vahrmeijer (AL)

Department of Surgery, Leiden University Medical Center, The Netherlands.

Jaap F Hamming (JF)

Department of Surgery, Leiden University Medical Center, The Netherlands.

Joost R van der Vorst (JR)

Department of Surgery, Leiden University Medical Center, The Netherlands.

Classifications MeSH