ArticleJACC. Cardiovascular imaging2015
Macrophages and intravascular OCT bright spots: a quantitative study.
Article in JACC. Cardiovascular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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49 citing papers in PubMed, 99 citations in OpenAlex.
- Lipid-lowering therapy stabilizes the complexity of non-culprit plaques in human coronary artery: a quantitative assessment using OCT bright spot algorithm.The international journal of cardiovascular imaging · 2017Trial
- Clinical OCT computation-modeled prognosis of coronary plaque progression with validation by fusogenic macrophage nano-targeting.Nano convergence · 2026Article
- Nanomedicine-based theranostics in atherosclerotic cardiovascular diseases.Journal of biomedical science · 2026Review
- Automated lipid detection in spectroscopic optical coherence tomography using a weakly supervised deep learning network.Biomedical optics express · 2026Article
- Optical coherence tomography-derived macrophage arc as a novel biomarker for predicting adverse cardiovascular events in coronary artery disease: a multicentre study.European heart journal. Imaging methods and practice · 2026Article
- Prognostic Role and Therapeutic Implications of Intravascular Optical Coherence Tomography Detected Coronary Plaque Microstructures in Patients with Coronary Artery Disease.Journal of clinical medicine · 2025Review
- Intracoronary Structural-Molecular Imaging for Multitargeted Characterization of High-Risk Plaque: First-in-Human OCT-FLIm.JAMA cardiology · 2025Article
- Examination of the performance of machine learning-based automated coronary plaque characterization by near-infrared spectroscopy-intravascular ultrasound and optical coherence tomography with histology.European heart journal. Digital health · 2025Article
- Histology-Grounded Automated Plaque Subtype Segmentation in Intravascular Optical Coherence Tomography.Journal of the Society for Cardiovascular Angiography & Interventions · 2025Article
- What have we learnt from histology about the efficacy of coronary imaging modalities in assessing plaque composition?Frontiers in cardiovascular medicine · 2025Review
- The relationships between inflammatory biomarkers, plaque characteristics, and macrophage clusters in coronary plaque: a quantitative assessment of macrophages based on optical coherence tomography.Frontiers in cardiovascular medicine · 2025Article
- A Review Paper on Optical Coherence Tomography Evaluation of Coronary Calcification Pattern: Is It Relevant Today?Journal of cardiovascular development and disease · 2024Review
- Detection of atherosclerotic plaques with HDL-like porphyrin nanoparticles using an intravascular dual-modality optical coherence tomography and fluorescence system.Scientific reports · 2024Article
- Invasive coronary imaging of inflammation to further characterize high-risk lesions: what options do we have?Frontiers in cardiovascular medicine · 2024Review
- Residual risks and evolving atherosclerotic plaques.Molecular and cellular biochemistry · 2023Review
- Heavy macrophage infiltration identified by optical coherence tomography relates to plaque rupture.Annals of clinical and translational neurology · 2023Article
- Prevalence and patterns of in-stent neoatherosclerosis in lower extremity artery disease.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2023Article
- Role of plaque imaging for identification of vulnerable patients beyond the stage of myocardial ischemia.Frontiers in cardiovascular medicine · 2023Review
- Unravelling the role of macrophages in cardiovascular inflammation through imaging: a state-of-the-art review.European heart journal. Cardiovascular Imaging · 2022Review
- Intracoronary Imaging of Vulnerable Plaque-From Clinical Research to Everyday Practice.Journal of clinical medicine · 2022Review
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9 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesThis study hypothesized that bright spots in intravascular optical coherence tomography (IVOCT) images may originate by colocalization of plaque materials of differing indexes of refraction. To quantitatively identify bright spots, we developed an algorithm that accounts for factors including tissue depth, distance from light source, and signal-to-noise ratio. We used this algorithm to perform a bright spot analysis of IVOCT images and compared these results with histological examination of matching tissue sections.
backgroundBright spots are thought to represent macrophages in IVOCT images, and studies of alternative etiologies have not been reported.
methodsFresh human coronary arteries (n = 14 from 10 hearts) were imaged with IVOCT in a mock catheterization laboratory and then processed for histological analysis. The quantitative bright spot algorithm was applied to all images.
resultsResults are reported for 1,599 IVOCT images co-registered with histology. Macrophages alone were responsible for only 23% of the bright spot-positive regions, although they were present in 57% of bright spot-positive regions (as determined by histology). Additional etiologies for bright spots included cellular fibrous tissue (8%), interfaces between calcium and fibrous tissue (10%), calcium and lipids (5%), and fibrous cap and lipid pool (3%). Additionally, we showed that large pools of macrophages in CD68(+) histology sections corresponded to dark regions in comparative IVOCT images; this is due to the fact that a pool of lipid-rich macrophages will have the same index of refraction as a pool of lipid and thus will not cause bright spots.
conclusionsBright spots in IVOCT images were correlated with a variety of plaque components that cause sharp changes in the index of refraction. Algorithms that incorporate these correlations may be developed to improve the identification of some types of vulnerable plaque and allow standardization of IVOCT image interpretation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.