Article (Scientific journals)
Clinical Validation of a New Enhanced Stent Imaging Method
Ghafari, Chadi; Houissa, Khalil; Dens, Jo et al.
2023In Algorithms, 16 (6), p. 276
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Keywords :
percutaneous coronary intervention; quantitative coronary angiography; stent; Clinical validations; Coronary angiography; Imaging method; Imaging sequence; Interobserver variability; Percutaneous coronary intervention; Quantitative coronary angiography; Quantitative result; Restenosis; Stent deployments; Theoretical Computer Science; Numerical Analysis; Computational Theory and Mathematics; Computational Mathematics
Abstract :
[en] Background: Stent underexpansion is the main cause of stent thrombosis and restenosis. Coronary angiography has limitations in the assessment of stent expansion. Enhanced stent imaging (ESI) methods allow a detailed visualization of stent deployment. We qualitatively compare image results from two ESI system vendors (StentBoost™ (SB) and CAAS StentEnhancer™ (SE)) and report quantitative results of deployed stents diameters by quantitative coronary angiography (QCA) and by SE. (2) Methods: The ESI systems from SB and SE were compared and graded by two blinded observers for different characteristics: 1 visualization of the proximal and distal edges of the stents; 2 visualization of the stent struts; 3 presence of underexpansion and 4 calcifications. Stent diameters were quantitatively measured using dedicated QCA and SE software and compared to chart diameters according to the pressure of implantation. (3) Results: A total of 249 ESI sequences were qualitatively compared. Inter-observer variability was noted for strut visibility and total scores. Inter-observer agreement was found for the assessment of proximal stent edge and stent underexpansion. The predicted chart diameters were 0.31 ± 0.30 mm larger than SE diameters (p < 0.05). Stent diameters by SE after post-dilatation were 0.47 ± 0.31 mm smaller than the post-dilation balloon diameter (p < 0.05). SE-derived diameters significantly differed from QCA; by Bland–Altman analysis the bias was −0.37 ± 0.42 mm (p < 0.001). (4) Conclusions: SE provides an enhanced visualization and allows precise quantitative assessment of stent expansion without the limitations of QCA when overlapping coronary side branches are present.
Disciplines :
Cardiovascular & respiratory systems
Author, co-author :
Ghafari, Chadi  ;  Université de Mons - UMONS > Faculté de Médecine et de Pharmacie > Service de Cardiologie
Houissa, Khalil ;  Université de Mons - UMONS > Faculté de Médecine et de Pharmacie > Cardiologie ; Department of Cardiology, Military Hospital of Tunis, Tunis, Tunisia
Dens, Jo;  Cardiology Department, Ziekenhuis Oost-Limburg, Genk, Belgium
Ungureanu, Claudiu  ;  Université de Mons - UMONS ; Cardiology Department, Hopital Jolimont, La Louvière, Belgium
Kayaert, Peter;  Cardiology Department, Jessa Ziekenhuis, Hasselt, Belgium
Constant, Cyril;  Faculty of Medicine, Free University of Brussels (ULB), Bruxelles, Belgium
Carlier, Stéphane  ;  Université de Mons - UMONS > Faculté de Médecine et de Pharmac > Service de Cardiologie
Language :
English
Title :
Clinical Validation of a New Enhanced Stent Imaging Method
Publication date :
June 2023
Journal title :
Algorithms
ISSN :
1999-4893
Publisher :
MDPI
Volume :
16
Issue :
6
Pages :
276
Peer reviewed :
Peer Reviewed verified by ORBi
Research unit :
M106 - Cardiologie
Research institute :
R550 - Institut des Sciences et Technologies de la Santé
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