Literature DB >> 31654052

Optical Coherence Tomography-Based Modeling of Stent Deployment in Heavily Calcified Coronary Lesion.

Pengfei Dong1, Hozhabr Mozafari1, David Prabhu2, Hiram G Bezerra3, David L Wilson2, Linxia Gu4.   

Abstract

In this work, a heavily calcified coronary artery model was reconstructed from optical coherence tomography (OCT) images to investigate the impact of calcification characteristics on stenting outcomes. The calcification was quantified at various cross sections in terms of angle, maximum thickness, and area. The stent deployment procedure, including the crimping, expansion, and recoil, was implemented. The influence of calcification characteristics on stent expansion, malapposition, and lesion mechanics was characterized. Results have shown that the minimal lumen area following stenting occurred at the cross section with the greatest calcification angle. The calcification angle constricted the stretchability of the lesion and thus resulted in a small lumen area. The maximum principal strain and von Mises stress distribution patterns in both the fibrotic tissue and artery were consistent with the calcification profiles. The radially projected region of the calcification tends to have less strain and stress. The peak strain and stress of the fibrotic tissue occurred near the interface with the calcification. It is also the region with a high risk of tissue dissection and strut malapposition. In addition, the superficial calcification with a large angle aggregated the malapposition at the middle of the calcification arc. These detailed mechanistic quantifications could be used to provide a fundamental understanding of the role of calcification in stent expansions, as well as to exploit their potential for enhanced pre- and post-stenting strategies.
Copyright © 2020 by ASME.

Entities:  

Keywords:  calcification; finite element analysis; malapposition; optical coherence tomography (OCT); percutaneous coronary intervention; stent deployment; stent underexpansion

Mesh:

Year:  2020        PMID: 31654052      PMCID: PMC7104774          DOI: 10.1115/1.4045285

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  4 in total

1.  Co-registration of pre- and post-stent intravascular OCT images for validation of finite element model simulation of stent expansion.

Authors:  Yazan Gharaibeh; Juhwan Lee; David Prabhu; Pengfei Dong; Vladislav N Zimin; Luis A Dallan; Hiram Bezerra; Linxia Gu; David Wilson
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2020-02-28

2.  An inverse method for mechanical characterization of heterogeneous diseased arteries using intravascular imaging.

Authors:  Bharath Narayanan; Max L Olender; David Marlevi; Elazer R Edelman; Farhad R Nezami
Journal:  Sci Rep       Date:  2021-11-18       Impact factor: 4.379

3.  Hemodynamic alternations following stent deployment and post-dilation in a heavily calcified coronary artery: In silico and ex-vivo approaches.

Authors:  Peshala T Gamage; Pengfei Dong; Juhwan Lee; Yazan Gharaibeh; Vladislav N Zimin; Luis A P Dallan; Hiram G Bezerra; David L Wilson; Linxia Gu
Journal:  Comput Biol Med       Date:  2021-10-21       Impact factor: 4.589

4.  Simulation-Driven Machine Learning for Predicting Stent Expansion in Calcified Coronary Artery.

Authors:  Pengfei Dong; Guochang Ye; Mehmet Kaya; Linxia Gu
Journal:  Appl Sci (Basel)       Date:  2020-08-22       Impact factor: 2.838

  4 in total

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