A Survey on Coronary Atherosclerotic Plaque Tissue Characterization in Intravascular Optical Coherence Tomography | springermedizin.de

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Current Atherosclerosis Reports

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01.07.2018 | Coronary Heart Disease (S. Virani and S. Naderi, Section Editors)

A Survey on Coronary Atherosclerotic Plaque Tissue Characterization in Intravascular Optical Coherence Tomography

verfasst von: Alberto Boi, Ankush D. Jamthikar, Luca Saba, Deep Gupta, Aditya Sharma, Bruno Loi, John R. Laird, Narendra N. Khanna, Jasjit S. Suri

Erschienen in: Current Atherosclerosis Reports | Ausgabe 7/2018

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Abstract

Purpose of Review

Atherosclerotic plaque deposition within the coronary vessel wall leads to arterial stenosis and severe catastrophic events over time. Identification of these atherosclerotic plaque components is essential to pre-estimate the risk of cardiovascular disease (CVD) and stratify them as a high or low risk. The characterization and quantification of coronary plaque components are not only vital but also a challenging task which can be possible using high-resolution imaging techniques.

Recent Finding

Atherosclerotic plaque components such as thin cap fibroatheroma (TCFA), fibrous cap, macrophage infiltration, large necrotic core, and thrombus are the microstructural plaque components that can be detected with only high-resolution imaging modalities such as intravascular ultrasound (IVUS) and optical coherence tomography (OCT). Light-based OCT provides better visualization of plaque tissue layers of coronary vessel walls as compared to IVUS. Three dominant paradigms have been identified to characterize atherosclerotic plaque components based on optical attenuation coefficients, machine learning algorithms, and deep learning techniques.

Summary

This review (condensation of 126 papers after downloading 150 articles) presents a detailed comparison among various methodologies utilized for plaque tissue characterization, classification, and arterial measurements in OCT. Furthermore, this review presents the different ways to predict and stratify the risk associated with the CVD based on plaque characterization and measurements in OCT. Moreover, this review discovers three different paradigms for plaque characterization and their pros and cons. Among all of the techniques, a combination of machine learning and deep learning techniques is a best possible solution that provides improved OCT-based risk stratification.

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Titel: A Survey on Coronary Atherosclerotic Plaque Tissue Characterization in Intravascular Optical Coherence Tomography
verfasst von: Alberto Boi
Ankush D. Jamthikar
Luca Saba
Deep Gupta
Aditya Sharma
Bruno Loi
John R. Laird
Narendra N. Khanna
Jasjit S. Suri
Publikationsdatum: 01.07.2018
Verlag: Springer US
Erschienen in: Current Atherosclerosis Reports / Ausgabe 7/2018
Print ISSN: 1523-3804
Elektronische ISSN: 1534-6242
DOI: https://doi.org/10.1007/s11883-018-0736-8

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