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

chronic limb ischemia duplex ultrasound indocyanine green maximal systolic acceleration near-infrared fluorescence imaging peripheral artery disease

Journal

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists
ISSN: 1545-1550
Titre abrégé: J Endovasc Ther
Pays: United States
ID NLM: 100896915

Informations de publication

Date de publication:
05 Sep 2024
Historique:
medline: 5 9 2024
pubmed: 5 9 2024
entrez: 5 9 2024
Statut: aheadofprint

Résumé

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 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 A total of 38 patients (42 limbs) were included. ACC Combining ACC 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.

Sections du résumé

BACKGROUND UNASSIGNED
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
METHODS UNASSIGNED
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
RESULTS UNASSIGNED
A total of 38 patients (42 limbs) were included. ACC
CONCLUSION UNASSIGNED
Combining ACC
CLINICAL IMPACT CONCLUSIONS
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.

Identifiants

pubmed: 39234961
doi: 10.1177/15266028241274568
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

15266028241274568

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Mo W Kruiswijk (MW)

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

Siem A Willems (SA)

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

Stefan Koning (S)

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

Floris P Tange (FP)

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

Jeroen J W M Brouwers (J)

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

Roderick C Peul (RC)

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

Jan van Schaik (J)

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

Abbey Schepers (A)

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

Jaap Hamming (J)

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

Koen E A van der Bogt (KEA)

Department of Surgery, Haaglanden Medical Center, The Hague, The Netherlands.

Carla S P van Rijswijk (CSP)

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

Alexander L Vahrmeijer (AL)

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

Pim van den Hoven (P)

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

Joost R van der Vorst (JR)

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

Classifications MeSH