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Current Cardiology Reports

Optical Coherence Tomography in the Assessment and Management of Cardiac Allograft Vasculopathy

Published in:
Authors
Arka Chatterjee
Madhan Shanmugasundaram
Kwan S. Lee
Toshinobu Kazui
Indranee N. Rajapreyar
Deepak Acharya
Published in
Current Cardiology Reports | Issue 8/2024

Abstract  

Purpose of Review

Cardiac Allograft vasculopathy (CAV) is a major barrier to improving outcomes after heart transplantation. Coronary angiography has very low sensitivity to detect early CAV and intravascular ultrasound (IVUS) only improves it to some extent. In this article, we detail the current evidence surrounding use of Optical Coherence tomography (OCT) in patients with CAV.

Recent Findings

OCT has the ability to recognize CAV at earlier stages with intimal thickness < 150 μm, can characterize CAV in almost pathologic / microscopic detail – plaque characteristics are better visualized and novel early features such as layered fibrotic plaques and microchannels have been identified. Progression of CAV can be monitored also, with promise shown in automated serial measurements also.

Summary

OCT has significantly advanced our understanding of the pathophysiology—as well as permits precise monitoring and surveillance of the disease. Potential treatment options could also be evaluated using OCT.
Title
Optical Coherence Tomography in the Assessment and Management of Cardiac Allograft Vasculopathy
Authors
Arka Chatterjee
Madhan Shanmugasundaram
Kwan S. Lee
Toshinobu Kazui
Indranee N. Rajapreyar
Deepak Acharya
Publication date
12-06-2024
Publisher
Springer US
Published in
Current Cardiology Reports / Issue 8/2024
Print ISSN: 1523-3782
Electronic ISSN: 1534-3170
DOI
https://doi.org/10.1007/s11886-024-02078-7
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This content is intended for healthcare professionals outside of the UK.

Independent Medical Education Grant:
  • Bayer HealthCare Pharmaceuticals Inc.
Learn more Link opens in a new window
Image Credits
Abstract graphic of layered, concentric circular shapes in bright green, pink, blue, and purple on a dark blue background. The rings and segments form a complex radial pattern without text/© Springer Health+ IME