» Articles » PMID: 24631379

Intravascular Photoacoustic Imaging: a New Tool for Vulnerable Plaque Identification

Overview
Specialty Radiology
Date 2014 Mar 18
PMID 24631379
Citations 41
Authors
Affiliations
Soon will be listed here.
Abstract

The vulnerable atherosclerotic plaque is believed to be at the root of the majority of acute coronary events. Even though the exact origins of plaque vulnerability remain elusive, the thin-cap fibroatheroma, characterized by a lipid-rich necrotic core covered by a thin fibrous cap, is considered to be the most prominent type of vulnerable plaque. No clinically available imaging technique can characterize atherosclerotic lesions to the extent needed to determine plaque vulnerability prognostically. Intravascular photoacoustic imaging (IVPA) has the potential to take a significant step in that direction by imaging both plaque structure and composition. IVPA is a natural extension of intravascular ultrasound that adds tissue type specificity to the images. IVPA utilizes the optical contrast provided by the differences in the absorption spectra of plaque components to image composition. Its capability to image lipids in human coronary atherosclerosis has been shown extensively ex vivo and has recently been translated to an in vivo animal model. Other disease markers that have been successfully targeted are calcium and inflammatory markers, such as macrophages and matrix metalloproteinase; the latter two through application of exogenous contrast agents. By simultaneously displaying plaque morphology and composition, IVPA can provide a powerful prognostic marker for disease progression, and as such has the potential to transform the current practice in percutaneous coronary intervention.

Citing Articles

Quantitative photoacoustic imaging using known chromophores as fluence marker.

Thomas A, Rietberg M, Akkus M, van Soest G, Francis K Photoacoustics. 2025; 41():100673.

PMID: 39830068 PMC: 11741946. DOI: 10.1016/j.pacs.2024.100673.


Dual-modal Photoacoustic and Ultrasound Imaging: from preclinical to clinical applications.

Nyayapathi N, Zheng E, Zhou Q, Doyley M, Xia J Front Photon. 2024; 5.

PMID: 39185248 PMC: 11343488. DOI: 10.3389/fphot.2024.1359784.


The biological applications of near-infrared optical nanomaterials in atherosclerosis.

Shen L, Bi Y, Yu J, Zhong Y, Chen W, Zhao Z J Nanobiotechnology. 2024; 22(1):478.

PMID: 39135099 PMC: 11320980. DOI: 10.1186/s12951-024-02703-1.


Survival intravascular photoacoustic imaging of lipid-rich plaque in cholesterol fed rabbits.

Zhang Y, Taylor E, Huang N, Hamilton J, Cheng J Transl Biophotonics. 2024; 4(4).

PMID: 38283396 PMC: 10812843. DOI: 10.1002/tbio.202200012.


Deep learning on photoacoustic tomography to remove image distortion due to inaccurate measurement of the scanning radius.

Mondal S, Paul S, Singh N, Saha R Biomed Opt Express. 2023; 14(11):5817-5832.

PMID: 38021110 PMC: 10659812. DOI: 10.1364/BOE.501277.