Literature DB >> 20129535

Accuracy of optical coherence tomography in the evaluation of neointimal coverage after stent implantation.

Akira Murata1, David Wallace-Bradley, Armando Tellez, Carlos Alviar, Michael Aboodi, Alexander Sheehy, Leslie Coleman, Laura Perkins, Gaku Nakazawa, Gary Mintz, Greg L Kaluza, Renu Virmani, Juan F Granada.   

Abstract

OBJECTIVES: This study aimed to evaluate the accuracy of optical coherence tomography (OCT) in analyzing the neointimal response to several drug-eluting stent (DES) types by comparing OCT images acquired in vivo with corresponding histological specimens using a nondiseased porcine injury model.
BACKGROUND: Optical coherence tomography is emerging as a promising endovascular imaging tool for the evaluation of neointimal response after DES implantation.
METHODS: A total of 84 stents were implanted-22 ML Vision (Abbott Vascular, Santa Clara, California), 22 Xience V (Abbott Vascular), 20 Endeavor (Medtronic, Minneapolis, Minnesota), and 20 Taxus Liberté (Boston Scientific, Natick, Massachusetts) stents-in normal porcine coronary arteries and were harvested at 28 (n=42) and 90 (n=42) days, with the different stent types equally distributed between the 2 follow-up periods. At termination, morphometric evaluation using OCT imaging was performed in all stented arteries. Histological morphometric analysis was performed and correlated with OCT.
RESULTS: A total of 622 OCT-histology matched frames acquired from all stent designs were analyzed. The luminal (13.7%) and stent (6.1%) areas were consistently larger by OCT compared with histology. The mean neointimal thickness was very similar between techniques (approximately 3.27% variation). There was a high correlation between OCT and histology for the evaluation of neointimal area (R2=0.804), luminal area (R2=0.825), and neointimal thickness (R2=0.789). Correlation for total stent area was poor (R2=0.352). Although the proportion of individual struts determined to be uncovered by OCT and histology was similar, there was significant variation in the estimation of strut coverage between OCT and histology when the neointimal thickness was between 20 and 80 microm. This variation converged for neointimal thicknesses between 80 and 100 microm.
CONCLUSIONS: Subtle differences in neointimal formation induced by current DES can be reproducibly analyzed in vivo by OCT. However, OCT measurement of stent area seems to have less correlation with histology. Copyright (c) 2010 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20129535     DOI: 10.1016/j.jcmg.2009.09.018

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN: 1876-7591


  27 in total

1.  Histological validation of frequency domain optical coherence tomography for the evaluation of neointimal formation after a novel polymer-free sirolimus-eluting stent implantation.

Authors:  Qiang Fu; Hongyu Hu; Wei Chen; Zhixu Tan; Li Li; Dezhao Wang; Buxing Chen
Journal:  Int J Clin Exp Pathol       Date:  2015-09-01

2.  A histopathological comparison of different definitions for quantifying in-stent neointimal tissue: implications for the validity of intracoronary ultrasound and optical coherence tomography measurements.

Authors:  Pedro A Lemos; Celso K Takimura; Francisco R M Laurindo; Paulo S Gutierrez; Vera D Aiello
Journal:  Cardiovasc Diagn Ther       Date:  2011-12

3.  Automatic segmentation of in-vivo intra-coronary optical coherence tomography images to assess stent strut apposition and coverage.

Authors:  G J Ughi; T Adriaenssens; K Onsea; P Kayaert; C Dubois; P Sinnaeve; M Coosemans; W Desmet; J D'hooge
Journal:  Int J Cardiovasc Imaging       Date:  2011-02-24       Impact factor: 2.357

4.  A new polymer-free drug-eluting stent with nanocarriers eluting sirolimus from stent-plus-balloon compared with bare-metal stent and with biolimus A9 eluting stent in porcine coronary arteries.

Authors:  Celso K Takimura; Micheli Z Galon; Paulo S Gutierrez; Prakash Sojitra; Ashwin Vyas; Manish Doshi; Pedro A Lemos
Journal:  Cardiovasc Diagn Ther       Date:  2015-04

5.  Immersive visualization for enhanced computational fluid dynamics analysis.

Authors:  David J Quam; Timothy J Gundert; Laura Ellwein; Christopher E Larkee; Paul Hayden; Raymond Q Migrino; Hiromasa Otake; John F LaDisa
Journal:  J Biomech Eng       Date:  2015-01-29       Impact factor: 2.097

6.  Intravascular optical coherence tomography light scattering artifacts: merry-go-rounding, blooming, and ghost struts.

Authors:  J Jacob Mancuso; David L Halaney; Sahar Elahi; Derek Ho; Tianyi Wang; Yongjian Ouyang; Jouke Dijkstra; Thomas E Milner; Marc D Feldman
Journal:  J Biomed Opt       Date:  2014-12       Impact factor: 3.170

7.  Analysis of vascular inflammation against bioresorbable Zn-Ag based alloys.

Authors:  Alexander A Oliver; Roger J Guillory; Katie L Flom; Lea M Morath; Timothy M Kolesar; Ehsan Mostaed; Malgorzata Sikora-Jasinska; Jaroslaw W Drelich; Jeremy Goldman
Journal:  ACS Appl Bio Mater       Date:  2020-09-24

8.  Preclinical In-Vivo Evaluation and Screening of Zinc Based Degradable Metals for Endovascular Stents.

Authors:  Roger J Guillory; Alexander A Oliver; Emma Davis; Elisha J Earley; Jaroslaw W Drelich; Jeremy Goldman
Journal:  JOM (1989)       Date:  2019-02-12       Impact factor: 2.471

9.  Experimental investigation of intravascular OCT for imaging of intracranial aneurysms.

Authors:  Thomas Hoffmann; Sylvia Glaßer; Axel Boese; Knut Brandstädter; Thomas Kalinski; Oliver Beuing; Martin Skalej
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-08-05       Impact factor: 2.924

10.  Very early neointimal coverage of new biodegradable polymer drug-eluting stent compared with durable polymer everolimus-eluting stent evaluated by optical frequency domain imaging.

Authors:  Norihiro Kobayashi; Yoshiaki Ito; Masahiro Yamawaki; Motoharu Araki; Tsuyoshi Sakai; Yasunari Sakamoto; Shinsuke Mori; Masakazu Tsutsumi; Masahiro Nauchi; Yohsuke Honda; Takahiro Tokuda; Kenji Makino; Shigemitsu Shirai; Keisuke Hirano
Journal:  Int J Cardiovasc Imaging       Date:  2017-11-20       Impact factor: 2.357

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