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Article

Clinical Validation of a New Enhanced Stent Imaging Method

1
Department of Cardiology, University of Mons (UMONS), 7000 Mons, Belgium
2
Department of Cardiology, Military Hospital of Tunis, Tunis 1000, Tunisia
3
Cardiology Department, Ziekenhuis Oost-Limburg, 3600 Genk, Belgium
4
Cardiology Department, Hopital Jolimont, 7100 La Louvière, Belgium
5
Cardiology Department, Jessa Ziekenhuis, 3500 Hasselt, Belgium
6
Faculty of Medicine, Free University of Brussels (ULB), 1050 Bruxelles, Belgium
7
Cardiology Department, CHU Ambroise Paré, 7000 Mons, Belgium
*
Author to whom correspondence should be addressed.
Algorithms 2023, 16(6), 276; https://doi.org/10.3390/a16060276
Submission received: 1 April 2023 / Revised: 24 May 2023 / Accepted: 26 May 2023 / Published: 30 May 2023
(This article belongs to the Special Issue Algorithms for Biomedical Image Analysis and Processing)

Abstract

(1) 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.
Keywords: stent; percutaneous coronary intervention; quantitative coronary angiography stent; percutaneous coronary intervention; quantitative coronary angiography

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MDPI and ACS Style

Ghafari, C.; Houissa, K.; Dens, J.; Ungureanu, C.; Kayaert, P.; Constant, C.; Carlier, S. Clinical Validation of a New Enhanced Stent Imaging Method. Algorithms 2023, 16, 276. https://doi.org/10.3390/a16060276

AMA Style

Ghafari C, Houissa K, Dens J, Ungureanu C, Kayaert P, Constant C, Carlier S. Clinical Validation of a New Enhanced Stent Imaging Method. Algorithms. 2023; 16(6):276. https://doi.org/10.3390/a16060276

Chicago/Turabian Style

Ghafari, Chadi, Khalil Houissa, Jo Dens, Claudiu Ungureanu, Peter Kayaert, Cyril Constant, and Stéphane Carlier. 2023. "Clinical Validation of a New Enhanced Stent Imaging Method" Algorithms 16, no. 6: 276. https://doi.org/10.3390/a16060276

APA Style

Ghafari, C., Houissa, K., Dens, J., Ungureanu, C., Kayaert, P., Constant, C., & Carlier, S. (2023). Clinical Validation of a New Enhanced Stent Imaging Method. Algorithms, 16(6), 276. https://doi.org/10.3390/a16060276

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