Angiography-Based Superficial Wall Strain of De Novo Stenotic Coronary Arteries: Serial Assessment of Vessels Treated with Bioresorbable Scaffold or Drug-Eluting Stent.


Journal

Cardiovascular revascularization medicine : including molecular interventions
ISSN: 1878-0938
Titre abrégé: Cardiovasc Revasc Med
Pays: United States
ID NLM: 101238551

Informations de publication

Date de publication:
08 2023
Historique:
received: 14 03 2023
accepted: 14 03 2023
medline: 14 8 2023
pubmed: 3 4 2023
entrez: 2 4 2023
Statut: ppublish

Résumé

This study sought to present an angiography-based computational model for serial assessment of superficial wall strain (SWS, dimensionless) of de-novo coronary stenoses treated with either bioresorbable scaffold (BRS) or drug-eluting stent (DES). A novel method for SWS allows the assessment of the mechanical status of arteries in-vivo, which may help for predicting cardiovascular outcomes. Patients with arterial stenosis treated with BRS (n = 21) or DES (n = 21) were included from ABSORB Cohort B1 and AIDA trials. The SWS analyses were performed along with quantitative coronary angiography (QCA) at pre-PCI, post-PCI, and 5-year follow-up. Measurements of QCA and SWS parameters were quantified at the treated segment and adjacent 5-mm proximal and distal edges. Before PCI, the peak SWS on the 'to be treated' segment (0.79 ± 0.36) was significantly higher than at both virtual edges (0.44 ± 0.14 and 0.45 ± 0.21; both p < 0.001). The peak SWS in the treated segment significantly decreased by 0.44 ± 0.13 (p < 0.001). The surface area of high SWS decreased from 69.97mm Angiography-based SWS provided valuable information about the mechanical status of coronary arteries. Device implantation led to a significant decrease of SWS to a similar extent with either polymer-based scaffolds or permanent metallic stents.

Sections du résumé

OBJECTIVES
This study sought to present an angiography-based computational model for serial assessment of superficial wall strain (SWS, dimensionless) of de-novo coronary stenoses treated with either bioresorbable scaffold (BRS) or drug-eluting stent (DES).
BACKGROUND
A novel method for SWS allows the assessment of the mechanical status of arteries in-vivo, which may help for predicting cardiovascular outcomes.
METHODS
Patients with arterial stenosis treated with BRS (n = 21) or DES (n = 21) were included from ABSORB Cohort B1 and AIDA trials. The SWS analyses were performed along with quantitative coronary angiography (QCA) at pre-PCI, post-PCI, and 5-year follow-up. Measurements of QCA and SWS parameters were quantified at the treated segment and adjacent 5-mm proximal and distal edges.
RESULTS
Before PCI, the peak SWS on the 'to be treated' segment (0.79 ± 0.36) was significantly higher than at both virtual edges (0.44 ± 0.14 and 0.45 ± 0.21; both p < 0.001). The peak SWS in the treated segment significantly decreased by 0.44 ± 0.13 (p < 0.001). The surface area of high SWS decreased from 69.97mm
CONCLUSION
Angiography-based SWS provided valuable information about the mechanical status of coronary arteries. Device implantation led to a significant decrease of SWS to a similar extent with either polymer-based scaffolds or permanent metallic stents.

Identifiants

pubmed: 37005105
pii: S1553-8389(23)00109-4
doi: 10.1016/j.carrev.2023.03.005
pii:
doi:

Substances chimiques

Everolimus 9HW64Q8G6G

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

51-60

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest Y. Onuma reports institutional research grants related to his work as the chairman of cardiovascular imaging core labs of several clinical trials and registry sponsored by industry, for which they receive no direct compensation. P. W. Serruys reports personal fees from Sino Medical Sciences Technology, Philips/Volcano, Xeltis, outside the submitted work. S. Tu reports grants and consultancy from Pulse Medical. Authors have no other disclosures or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

Auteurs

Xinlei Wu (X)

The Lambe Institute for Translational Medicine, Smart Sensors Laboratory, Corrib Core Laboratory and Curam, University of Galway, Ireland.

Mick P L Renkens (MPL)

Amsterdam UMC, Heart Center, University of Amsterdam, Amsterdam, the Netherlands.

Laura Kerkmeijer (L)

Isala Heart Center, Zwolle, the Netherlands.

Mattia Lunardi (M)

The Lambe Institute for Translational Medicine, Smart Sensors Laboratory, Corrib Core Laboratory and Curam, University of Galway, Ireland.

Jiayue Huang (J)

The Lambe Institute for Translational Medicine, Smart Sensors Laboratory, Corrib Core Laboratory and Curam, University of Galway, Ireland.

Daixin Ding (D)

The Lambe Institute for Translational Medicine, Smart Sensors Laboratory, Corrib Core Laboratory and Curam, University of Galway, Ireland.

Neil O'Leary (N)

The Lambe Institute for Translational Medicine, Smart Sensors Laboratory, Corrib Core Laboratory and Curam, University of Galway, Ireland.

Robbert J de Winter (RJ)

Amsterdam UMC, Heart Center, University of Amsterdam, Amsterdam, the Netherlands.

Yoshinobu Onuma (Y)

The Lambe Institute for Translational Medicine, Smart Sensors Laboratory, Corrib Core Laboratory and Curam, University of Galway, Ireland.

Patrick W Serruys (PW)

The Lambe Institute for Translational Medicine, Smart Sensors Laboratory, Corrib Core Laboratory and Curam, University of Galway, Ireland.

Joanna Wykrzykowska (J)

Amsterdam UMC, Heart Center, University of Amsterdam, Amsterdam, the Netherlands; UMC Groningen, Thorax Center, University of Groningen, Groningen, the Netherlands.

Shengxian Tu (S)

Med-X Research Institute, Shanghai Jiao Tong University, China.

William Wijns (W)

The Lambe Institute for Translational Medicine, Smart Sensors Laboratory, Corrib Core Laboratory and Curam, University of Galway, Ireland. Electronic address: William.Wyns@universityofgalway.ie.

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