Background: Optical coherence tomography (OCT) is an imaging technology with high resolution which provides new opportunities for evaluating the vascular healing reaction after stent implantation. We used OCT to compare neointimal coverage and stent strut apposition with different types of drug-eluting stent (DES) at more than 12 months follow-up.
Methods: Fifty five patients who accepted 72 DESs (19 sirolimus-eluting stents [SES, Cypher Select], 27 paclitaxel-eluting stents [PES, Taxus Liberte], 26 zotarolimus-eluting stents [ZES, Endeavor]) were enrolled in our study. OCT was performed at 12-18 months after stent implantation. The neointimal hyperplasia (NIH) thickness and stent strut apposition at 1-mm interval and the presence of thrombus in each stent were observed.
Results: The average NIH thickness (0.1806 ± 0.1726 mm in SES vs. 0.2558 ± 0.2187 mm in PES vs. 0.2983 ± 0.2567 mm in ZES, p<0.001) and percentage of NIH area (17.21 ± 14.05% in SES vs. 23.09 ± 14.53% in PES vs. 28.73 ± 20.47% in ZES, p=0.002) were significantly greater in ZES than in other DESs. The prevalence of uncovered struts (8.96% in SES vs. 6.19% in PES vs. 2.98% in ZES, p<0.01) and malapposed struts (6.36% in SES vs. 2.32% in PES vs. 1.69% in ZES, p<0.01) was significantly lower in ZES than in other DESs. Thrombus was less frequently observed in ZES than in other DESs (SES 1.70% vs. PES 0.83% vs. ZES 0.17%, p<0.01).
Conclusions: Compared with SES and PES, ZES showed lower prevalence of uncovered struts and malapposed struts at more than 12 months follow-up.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.ijcard.2011.05.076 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Enhancing percutaneous coronary intervention using TriVOCTNet: a multi-task deep learning model for comprehensive intravascular optical coherence tomography analysis.
Phys Eng Sci Med
January 2025
Faculty of Engineering, Department of Biomedical Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
Article Synopsis
- Neointimal coverage and stent apposition are critical for improving percutaneous coronary interventions (PCI), but current algorithms struggle with automating the analysis of diverse stent types and preselecting necessary segments.
- This study introduces TriVOCTNet, a multi-task deep learning model designed to automate the classification, lumen segmentation, and stent strut segmentation in IVOCT images, all within one efficient network.
- TriVOCTNet demonstrated impressive accuracy with high classification rates and precise segmentation outputs, indicating its potential for enhancing clinical practices in PCI procedures.
Long-term Follow-up Optical Coherence Tomography Assessment of Primary Percutaneous Coronary Intervention for Unprotected Left Main.
Rev Cardiovasc Med
December 2024
Department of Cardiology, University Clinical Center of Serbia, 11000 Belgrade, Serbia.
Background: Elective unprotected left main (ULM) percutaneous coronary intervention (PCI) has long-term mortality rates comparable to surgical revascularization, thanks to advances in drug-eluting stent (DES) design, improved PCI techniques, and frequent use of intravascular imaging. However, urgent PCI of ULM culprit lesions remains associated with high in-hospital mortality and unfavourable long-term outcomes, including DES restenosis and stent thrombosis (ST). This analysis aimed to examine the long-term outcomes and healing of DES implanted in ULM during primary PCI using high-resolution optical coherence tomography (OCT) imaging.
View Article and Find Full Text PDFMobilization of endothelial progenitor cells after implantation of CD34 antibody-covered sirolimus-eluting COMBO stent: assessment with EPC colony-forming assay.
Heart Vessels
November 2024
Japan Red Cross Society, Nasu Red Cross Hospital, Otawara, Japan.
The COMBO stent is a unique stent on which the CD34 antibody is mounted to capture CD34 + endothelial progenitor cells (EPCs) and from which sirolimus is eluted to suppress neointimal hyperplasia. The COMBO stent aims to induce early re-endothelialization and vascular healing and to prevent restenosis. In the clinical setting, however, the effects of the COMBO stent have not been validated in terms of EPC biology.
View Article and Find Full Text PDFAssessment of Effectiveness of the Algorithm for Automated Quantitative Analysis of Metallic Strut Tissue Short-Term Coverage with Intravascular Optical Coherence Tomography.
J Clin Med
July 2024
Department of Biocybernetics and Biomedical Engineering, AGH University of Kraków, 30-059 Kraków, Poland.
Due to its high resolution, optical coherence tomography (OCT) is the most suitable modality for neointimal coverage assessments. Evaluation of stent healing seems crucial to accurately define their safety profile since delayed healing is connected with stent thrombosis. This study aimed to present an algorithm for automated quantitative analysis of stent strut coverage at the early stages of vessel healing in intravascular OCT.
View Article and Find Full Text PDFA minor tweak in transplant surgery protocols alters the cellular landscape of the arterial wall during transplant vasculopathy.
Front Transplant
April 2024
Institute of Metabolic and Cardiovascular Diseases (I2MC), Institut National de la Santé et de la Recherche Médicale (INSERM) U1297, University of Toulouse 3, Toulouse, France.
Introduction: Transplant vasculopathy (TV) is a major complication after solid organ transplantation, distinguished by an arterial intimal thickening that obstructs the vascular lumen and leads to organ rejection. To date, TV remains largely untreatable, mainly because the processes involved in its development remain unclear. Aortic transplantation in mice, used to mimic TV, relies on highly variable experimental protocols, particularly regarding the type of anastomosis used to connect the donor aorta to the recipient.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!