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Intravascular NIRF Molecular Imaging Approaches in Coronary Artery Disease.

ABSTRACT: Progression of vulnerable coronary atherosclerotic plaques underlies the majority of acute myocardial infarction and sudden cardiac death episodes. Recent advances in biological/molecular imaging technology are now enabling the accurate identification of high-risk plaques and stents in living subjects. Due to their smaller caliber and susceptibility to cardiorespiratory motion, noninvasive molecular imaging of human coronary arteries remains challenging. Therefore, intravascular high-resolution molecular imaging approaches appear necessary to resolve molecular features of human coronary arteries and stents. Here we present recent progress in intravascular near-infrared fluorescence (NIRF) molecular imaging, including the evolution from standalone NIRF systems to those integrated with structural imaging methods including optical coherence tomography and intravascular ultrasound. Preclinical demonstrations of imaging inflammation, fibrin, and endothelial impairment are highlighted. We then close with a discussion of translation of NIRF imaging to the cardiac catheterization laboratory and showcase first-in-human intracoronary imaging results of NIR autofluorescence in CAD.

SUBMITTER: Hara T

PROVIDER: S-EPMC6419760 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature

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Intravascular NIRF Molecular Imaging Approaches in Coronary Artery Disease.

Hara Tetsuya T Jaffer Farouc A FA

Current cardiovascular imaging reports 20160307

Progression of vulnerable coronary atherosclerotic plaques underlies the majority of acute myocardial infarction and sudden cardiac death episodes. Recent advances in biological/molecular imaging technology are now enabling the accurate identification of high-risk plaques and stents in living subjects. Due to their smaller caliber and susceptibility to cardiorespiratory motion, noninvasive molecular imaging of human coronary arteries remains challenging. Therefore, intravascular high-resolution ...[more]

PMID: 30881585

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Project description:OBJECTIVES:The aims of this first-in-human pilot study of intravascular polarimetry were to investigate polarization properties of coronary plaques in patients and to examine the relationship of these features with established structural characteristics available to conventional optical frequency domain imaging (OFDI) and with clinical presentation. BACKGROUND:Polarization-sensitive OFDI measures birefringence and depolarization of tissue together with conventional cross-sectional optical frequency domain images of subsurface microstructure. METHODS:Thirty patients undergoing polarization-sensitive OFDI (acute coronary syndrome, n = 12; stable angina pectoris, n = 18) participated in this study. Three hundred forty-two cross-sectional images evenly distributed along all imaged coronary arteries were classified into 1 of 7 plaque categories according to conventional OFDI. Polarization features averaged over the entire intimal area of each cross section were compared among plaque types and with structural parameters. Furthermore, the polarization properties in cross sections (n = 244) of the fibrous caps of acute coronary syndrome and stable angina pectoris culprit lesions were assessed and compared with structural features using a generalized linear model. RESULTS:The median birefringence and depolarization showed statistically significant differences among plaque types (p < 0.001 for both, one-way analysis of variance). Depolarization differed significantly among individual plaque types (p < 0.05), except between normal arteries and fibrous plaques and between fibrofatty and fibrocalcified plaques. Caps of acute coronary syndrome lesions and ruptured caps exhibited lower birefringence than caps of stable angina pectoris lesions (p < 0.01). In addition to clinical presentation, cap birefringence was also associated with macrophage accumulation as assessed using normalized SD. CONCLUSIONS:Intravascular polarimetry provides quantitative metrics that help characterize coronary arterial tissues and may offer refined insight into coronary arterial atherosclerotic lesions in patients.

Project description:Predictive assessment of the risk of developing cardiovascular diseases is usually provided by computational approaches centred on Cox models. The complex interdependence structure underlying clinical data patterns can limit the performance of Cox analysis and complicate the interpretation of results, thus calling for complementary and integrative methods. Prognostic models are proposed for studying the risk associated with patients with known or suspected coronary artery disease (CAD) undergoing vasodilator stress echocardiography, an established technique for CAD detection and prognostication. In order to complement standard Cox models, network inference is considered a possible solution to quantify the complex relationships between heterogeneous data categories. In particular, a mutual information network is designed to explore the paths linking patient-associated variables to endpoint events, to reveal prognostic factors and to identify the best possible predictors of death. Data from a prospective, multicentre, observational study are available from a previous study, based on 4313 patients (2532 men; 64±11 years) with known (n=1547) or suspected (n=2766) CAD, who underwent high-dose dipyridamole (0.84?mg?kg(-1) over 6?min) stress echocardiography with coronary flow reserve (CFR) evaluation of left anterior descending (LAD) artery by Doppler. The overall mortality was the only endpoint analysed by Cox models. The estimated connectivity between clinical variables assigns a complementary value to the proposed network approach in relation to the established Cox model, for instance revealing connectivity paths. Depending on the use of multiple metrics, the constraints of regression analysis in measuring the association strength among clinical variables can be relaxed, and identification of communities and prognostic paths can be provided. On the basis of evidence from various model comparisons, we show in this CAD study that there may be characteristic factors involved in prognostic stratification whose complexity suggests an exploration beyond the analysis provided by the still fundamental Cox approach.

Dataset Information

Intravascular NIRF Molecular Imaging Approaches in Coronary Artery Disease.

Publications

Intravascular NIRF Molecular Imaging Approaches in Coronary Artery Disease.

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