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Does Optical Coherence Tomography Identify Arterial Healing After Stenting? An in Vivo Comparison with Histology, in a Rabbit Carotid Model

Overview
Journal Heart
Date 2007 Jul 20
PMID 17639100
Citations 21
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Abstract

Objective: To verify whether optical coherence tomography (OCT) can accurately monitor the occurrence of arterial healing after stenting.

Setting: Delayed stent endothelialisation may predispose to stent thrombosis. OCT is a high-resolution intravascular imaging technique that accurately identifies stent struts and arterial tissues.

Design And Interventions: Eight New Zealand white rabbits underwent the implantation of single bare metal stents (diameter 2-2.5 mm, length 8-13 mm) in the right common carotid artery through the external carotid artery. After a median of 11 days (range 2-28), the stented arteries were visualised by OCT, with images acquired at a pull-back speed of 0.5 mm/sec. The rabbits were then euthanised, vessels were formalin-fixed and finally processed for histopathology.

Results: We analysed 32 cross-sections from eight stented carotid arteries, for a total of 384 stent struts. OCT detected all of the stent struts in 30 of 32 cross-sections (93.7%), and correctly identified the presence/absence of tissue for every strut. Histological and OCT measurements of mean neointima thickness (0.135 (SD 0.079) mm and 0.145 (SD 0.085) mm, respectively, p = NS) were similar and closely related (r = 0.85, p<0.001). Neointima area progressively increased with longer time intervals from stent deployment to sacrifice; histological and OCT measurements were similar for each time interval. The intra-observer and interobserver reproducibility of OCT neointima measurements were excellent (R2 = 0.90 and 0.88, respectively).

Conclusions: OCT is a promising means for monitoring stent strut coverage and vessel wall healing in vivo, the relevance of which will become even more significant with the increasing use of drug-eluting stents.

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Simard T, Jung R, Di Santo P, Sarathy K, Majeed K, Motazedian P J Cardiovasc Transl Res. 2023; 16(5):1194-1204.

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Yang B, Feng Y, Ma Y, Wang Y, Chen J, Li L Front Neurol. 2021; 12:678443.

PMID: 34220686 PMC: 8247572. DOI: 10.3389/fneur.2021.678443.