alexa Identifying Thin-Cap Fibroatheroma: Virtual-Histology Intravascular Ultrasound or Optical Coherence Tomography? | OMICS International
Atherosclerosis: Open Access
Like us on:
Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on
Medical, Pharma, Engineering, Science, Technology and Business

Identifying Thin-Cap Fibroatheroma: Virtual-Histology Intravascular Ultrasound or Optical Coherence Tomography?

Leonardo Roever*

Department of Clinical Research, Federal University of Uberlandia, Av. Para, 1720 - Bairro Umuarama Uberlandia -MG-CEP 38400-902, Brazil

*Corresponding Author:
Leonardo Roever
Department of Clinical Research
Federal University of Uberlandia, Av. Para 1720 - Bairro
Umuarama Uberlandia - MG - CEP 38400-902, Brazil
Tel: 553488039878
E-mail:
[email protected]

Received Date: October 14, 2015 Accepted Date: October 15, 2015 Published Date: November 05, 2015

Citation: Roever L (2015) Identifying Thin-Cap Fibroatheroma: Virtual-Histology Intravascular Ultrasound or Optical Coherence Tomography?. Atheroscler open access 1:e105.

Copyright: © 2015 Roever L. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Atherosclerosis: Open Access

Introduction

Studies have shown that two-thirds of all myocardial infarctions are caused by the rupture of plaques with large lipid content and necrotic core (NC), resulting in luminal thrombosis [1-4]. Thin-cap fibroatheroma (TCFA) are characterized as a presence of a large lipid pool with overlying thin fibrous cap (<65 μm) and is associated with future major adverse cardiovascular events [5-7]. The diagnosis requires a high spatial resolution (axial, lateral, elevation) and temporal [8].

Virtual-histology intravascular ultrasound (VH-IVUS) is an invasive imaging modality which is used to identify plaque components, including NC, calcification, fibrous, and fibrofatty tissue (accuracies of >93.5% to characterize coronary plaque composition and a diagnostic accuracy of 76% for TCFA) [9-10]. Intravascular optical coherence tomography (OCT) allows plaque characterization using near-infrared light to display high-resolution (≈20 μm) images of coronary lesions (sensitivities around 75% for fibrous, 95% for fibrocalcific, and 92% for lipid-rich plaques)[11].

Brown and colleagues conducted a study in 258 regions of interest from autopsied human hearts, with plaque composition and classification assessed by histology and compared with coregistered ex vivo VH-IVUS and OCT. Sixty-seven regions of interest were classified as fibroatheroma on histology, with 22 meeting criteria for TCFA. On VH-IVUS, plaque (10.91 ± 4.82 versus 8.42 ± 4.57 mm²; P=0.01) and necrotic core areas (1.59 ± 0.99 versus 1.03 ± 0.85 mm²; P=0.02) were increased in TCFA versus other fibroatheroma. On OCT, although minimal fibrous cap thickness was similar (71.8 ± 44.1 μm versus 72.6 ± 32.4; P=0.30), the number of continuous frames with fibrous cap thickness ≤ 85 μm was higher in TCFA (6.5 [1.75-11.0] versus 2.0 [0.0-7.0]; P=0.03). Maximum lipid arc on OCT was an excellent discriminator of fibroatheroma (area under the ROC, 0.92; 95% CI, 0.87-0.97) and TCFA (area under the ROC, 0.86; 95% CI, 0.81-0.92), with lipid arc ≥ 80° the optimal cut-off value. The sensitivity, specificity, and diagnostic accuracy for TCFA identification was 63.6%, 78.1%, and 76.5% for VH-IVUS and 72.7%, 79.8%, and 79.0% for OCT. Combining VH-defined fibroatheroma and fibrous cap thickness ≤ 85 μm over 3 continuous frames improved TCFA identification, with diagnostic accuracy of 89.0% [11].

This study demonstrated that VH-IVUS and OCT can identify TCFA, although OCT accuracy may be improved using lipid arc ≥ 80° and fibrous cap thickness ≤ 85 μm over 3 continuous frames. Combined VH-IVUS/OCT imaging improved TCFA identification.

References

Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Recommended Conferences

Article Usage

  • Total views: 11811
  • [From(publication date):
    December-2016 - Dec 13, 2017]
  • Breakdown by view type
  • HTML page views : 8039
  • PDF downloads : 3772
 

Post your comment

captcha   Reload  Can't read the image? click here to refresh

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

med[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

 
© 2008- 2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version