Literature DB >> 19777367

Stent implant follow-up in intravascular optical coherence tomography images.

Gozde Unal1, Serhan Gurmeric, Stéphane Guy Carlier.   

Abstract

The objectives of this article are (i) to utilize computer methods in detection of stent struts imaged in vivo by optical coherence tomography (OCT) during percutaneous coronary interventions (PCI); (ii) to provide measurements for the assessment and monitoring of in-stent restenosis by OCT post PCI. Thirty-nine OCT cross-sections from seven pullbacks from seven patients presenting varying degrees of neointimal hyperplasia (NIH) are selected, and stent struts are detected. Stent and lumen boundaries are reconstructed and one experienced observer analyzed the strut detection, the lumen and stent area measurements, as well as the NIH thickness in comparison to manual tracing using the reviewing software provided by the OCT manufacturer (LightLab Imaging, MA, USA). Very good agreements were found between the computer methods and the expert evaluations for lumen cross-section area (mean difference = 0.11 ± 0.70 mm(2); r (2) = 0.98, P < 0.0001) and the stent cross-section area (mean difference = 0.10 ± 1.28 mm(2); r (2) = 0.85, P value < 0.0001). The average number of detected struts was 10.4 ± 2.9 per cross-section when the expert identified 10.5 ± 2.8 (r (2) = 0.78, P value < 0.0001). For the given patient dataset: lumen cross-sectional area was on the average (6.05 ± 1.87 mm(2)), stent cross-sectional area was (6.26 ± 1.63 mm(2)), maximum angle between struts was on the average (85.96 ± 54.23°), maximum, average, and minimum distance between the stent and the lumen were (0.18 ± 0.13 mm), (0.08 ± 0.06 mm), and (0.01 ± 0.02 mm), respectively, and stent eccentricity was (0.80 ± 0.08). Low variability between the expert and automatic method was observed in the computations of the most important parameters assessing the degree of neointimal tissue growth in stents imaged by OCT pullbacks. After further extensive validation, the presented methods might offer a robust automated tool that will improve the evaluation and follow-up monitoring of in-stent restenosis in patients.

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Year:  2009        PMID: 19777367     DOI: 10.1007/s10554-009-9508-4

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  13 in total

1.  Visualization of coronary atherosclerotic plaques in patients using optical coherence tomography: comparison with intravascular ultrasound.

Authors:  Ik-Kyung Jang; Brett E Bouma; Dong-Heon Kang; Seung-Jung Park; Seong-Wook Park; Ki-Bae Seung; Kyu-Bo Choi; Milen Shishkov; Kelly Schlendorf; Eugene Pomerantsev; Stuart L Houser; H Thomas Aretz; Guillermo J Tearney
Journal:  J Am Coll Cardiol       Date:  2002-02-20       Impact factor: 24.094

2.  Diagnostic accuracy of optical coherence tomography and intravascular ultrasound for the detection and characterization of atherosclerotic plaque composition in ex-vivo coronary specimens: a comparison with histology.

Authors:  Johannes Rieber; Oliver Meissner; Gregor Babaryka; Susanne Reim; Melanie Oswald; Andreas Koenig; Thomas M Schiele; Michael Shapiro; Karl Theisen; Maximilian F Reiser; Volker Klauss; Udo Hoffmann
Journal:  Coron Artery Dis       Date:  2006-08       Impact factor: 1.439

3.  Neointimal coverage of sirolimus-eluting stents at 6-month follow-up: evaluated by optical coherence tomography.

Authors:  Daisuke Matsumoto; Junya Shite; Toshiro Shinke; Hiromasa Otake; Yusuke Tanino; Daisuke Ogasawara; Takahiro Sawada; Oscar Luis Paredes; Ken-ichi Hirata; Mitsuhiro Yokoyama
Journal:  Eur Heart J       Date:  2006-11-29       Impact factor: 29.983

4.  Characterization of atherosclerosis plaques by measuring both backscattering and attenuation coefficients in optical coherence tomography.

Authors:  Chenyang Xu; Joseph M Schmitt; Stephane G Carlier; Renu Virmani
Journal:  J Biomed Opt       Date:  2008 May-Jun       Impact factor: 3.170

5.  High-speed polarization sensitive optical frequency domain imaging with frequency multiplexing.

Authors:  W Y Oh; S H Yun; B J Vakoc; M Shishkov; A E Desjardins; B H Park; J F de Boer; G J Tearney; B E Bouma
Journal:  Opt Express       Date:  2008-01-21       Impact factor: 3.894

Review 6.  Current and future developments in intracoronary optical coherence tomography imaging.

Authors:  Peter Barlis; Joseph M Schmitt
Journal:  EuroIntervention       Date:  2009-01       Impact factor: 6.534

7.  Assessment of coronary plaque with optical coherence tomography and high-frequency ultrasound.

Authors:  P Patwari; N J Weissman; S A Boppart; C Jesser; D Stamper; J G Fujimoto; M E Brezinski
Journal:  Am J Cardiol       Date:  2000-03-01       Impact factor: 2.778

8.  Coronary restenosis after sirolimus-eluting stent implantation: morphological description and mechanistic analysis from a consecutive series of cases.

Authors:  Pedro A Lemos; Francesco Saia; Jurgen M R Ligthart; Chourmouzios A Arampatzis; Georgios Sianos; Kengo Tanabe; Angela Hoye; Muzaffer Degertekin; Joost Daemen; Eugene McFadden; Sjoerd Hofma; Pieter C Smits; Pim de Feyter; Willem J van der Giessen; Ron T van Domburg; Patrick W Serruys
Journal:  Circulation       Date:  2003-07-14       Impact factor: 29.690

9.  Correlation of intravascular ultrasound findings with histopathological analysis of thrombus aspirates in patients with very late drug-eluting stent thrombosis.

Authors:  Stéphane Cook; Elena Ladich; Gaku Nakazawa; Parham Eshtehardi; Michel Neidhart; Rolf Vogel; Mario Togni; Peter Wenaweser; Michael Billinger; Christian Seiler; Steffen Gay; Bernhard Meier; Werner J Pichler; Peter Jüni; Renu Virmani; Stephan Windecker
Journal:  Circulation       Date:  2009-07-20       Impact factor: 29.690

10.  Characterization of human atherosclerosis by optical coherence tomography.

Authors:  Hiroshi Yabushita; Brett E Bouma; Stuart L Houser; H Thomas Aretz; Ik-Kyung Jang; Kelly H Schlendorf; Christopher R Kauffman; Milen Shishkov; Dong-Heon Kang; Elkan F Halpern; Guillermo J Tearney
Journal:  Circulation       Date:  2002-09-24       Impact factor: 29.690

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  9 in total

1.  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

2.  Fully automated side branch detection in intravascular optical coherence tomography pullback runs.

Authors:  Ancong Wang; Jeroen Eggermont; Johan H C Reiber; Jouke Dijkstra
Journal:  Biomed Opt Express       Date:  2014-08-25       Impact factor: 3.732

3.  Automatic detection of bioresorbable vascular scaffold struts in intravascular optical coherence tomography pullback runs.

Authors:  Ancong Wang; Shimpei Nakatani; Jeroen Eggermont; Yoshi Onuma; Hector M Garcia-Garcia; Patrick W Serruys; Johan H C Reiber; Jouke Dijkstra
Journal:  Biomed Opt Express       Date:  2014-09-12       Impact factor: 3.732

4.  Automatic segmentation of coronary morphology using transmittance-based lumen intensity-enhanced intravascular optical coherence tomography images and applying a localized level-set-based active contour method.

Authors:  Shiju Joseph; Asif Adnan; David Adlam
Journal:  J Med Imaging (Bellingham)       Date:  2016-11-29

5.  3-D Stent Detection in Intravascular OCT Using a Bayesian Network and Graph Search.

Authors:  Michael W Jenkins; George C Linderman; Hiram G Bezerra; Yusuke Fujino; Marco A Costa; David L Wilson; Andrew M Rollins
Journal:  IEEE Trans Med Imaging       Date:  2015-02-24       Impact factor: 10.048

6.  Automatic stent strut detection in intravascular optical coherence tomographic pullback runs.

Authors:  Ancong Wang; Jeroen Eggermont; Niels Dekker; Hector M Garcia-Garcia; Ravindra Pawar; Johan H C Reiber; Jouke Dijkstra
Journal:  Int J Cardiovasc Imaging       Date:  2012-05-23       Impact factor: 2.357

7.  Reconstruction of stented coronary arteries from optical coherence tomography images: Feasibility, validation, and repeatability of a segmentation method.

Authors:  Claudio Chiastra; Eros Montin; Marco Bologna; Susanna Migliori; Cristina Aurigemma; Francesco Burzotta; Simona Celi; Gabriele Dubini; Francesco Migliavacca; Luca Mainardi
Journal:  PLoS One       Date:  2017-06-02       Impact factor: 3.240

Review 8.  Patient-Specific Modeling of Stented Coronary Arteries Reconstructed from Optical Coherence Tomography: Towards a Widespread Clinical Use of Fluid Dynamics Analyses.

Authors:  Claudio Chiastra; Susanna Migliori; Francesco Burzotta; Gabriele Dubini; Francesco Migliavacca
Journal:  J Cardiovasc Transl Res       Date:  2017-12-27       Impact factor: 4.132

9.  Automatic lumen segmentation in IVOCT images using binary morphological reconstruction.

Authors:  Matheus Cardoso Moraes; Diego Armando Cardona Cardenas; Sérgio Shiguemi Furuie
Journal:  Biomed Eng Online       Date:  2013-08-09       Impact factor: 2.819

  9 in total

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