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Background And Purpose: Intraplaque neovessels (INVs) have been recognized as a major cause of intraplaque hemorrhage and subsequent vulnerability of the carotid plaque. However, the exact mechanisms by which INVs cause intraplaque hemorrhage remain unclear. Various sizes of INVs coexist in carotid plaques pathologically, and we hypothesized that the size of INVs would be associated with carotid plaque histology, particularly in terms of intraplaque hemorrhage. Detection method of INV is important when determining whether carotid plaques are vulnerable, and contrast-enhanced ultrasonography (CEUS) is one of the most useful methods to detect them. The purpose of this study was to examine the relationship between findings from CEUS and vascular pathology obtained by carotid endarterectomy (CEA). We focused on associations between small and large INVs evaluated by CEUS and histologically defined intraplaque hemorrhage.
Methods: Participants comprised 115 patients (mean age, 73.0 ± 7.2 years; 96 men) who underwent preoperative CEUS and underwent CEA. CEUS findings were evaluated as vascular grade at 0 min (Vas-G0) and 10 min (Vas-G10) after contrast injection. Plaques were histologically evaluated quantitatively for the total area of intraplaque hemorrhage, cholesterol, and calcification and the thinnest fibrous cap. Immunohistochemical studies were conducted using anti-CD-34 antibody as a marker for endothelial cells. INVs were divided into two groups depending on diameter: small INVs, <50 μm; and large INVs, ≥50 μm. The numbers of small and large blood vessels in the plaque were quantified histologically. Associations of small and large INVs with CEUS, plaque histology, and clinical findings were assessed by uni- and multivariable analyses.
Results: Multivariable analyses indicated that CEUS Vas-G0 was associated with the 4th quartile of the number of small INVs compared with other quartiles, and Vas-G10 was associated with the 4th quartile of the number of large INVs. Histologically, the presence and area of intraplaque hemorrhage were associated with the number of small INVs, while the increased number of large INVs was associated with infrequent plaque disruption and thicker fibrous cap.
Conclusions: Our study showed that early phase enhancement in the CEUS can help identify plaque vulnerability by predicting a larger number of small INVs. This information can also help determine treatment strategies for carotid plaque.
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http://dx.doi.org/10.1159/000525097 | DOI Listing |
Eur J Vasc Endovasc Surg
September 2025
Department of Epidemiology, Maastricht University, Maastricht, the Netherlands. Electronic address:
Objective: The current selection of patients for carotid revascularisation is mainly based on neurological symptoms and the degree of carotid artery stenosis. Individualised MRI based PRediction scOre using plaque Vulnerability for symptomatic carotid artEry disease patients (IMPROVE) can identify high risk patients who may benefit from carotid revascularisation, based on intraplaque haemorrhage, stenosis severity, cerebral symptoms, sex, and age. For use in clinical trials and eventual practice, the decision rule must be acceptable to clinicians.
View Article and Find Full Text PDFFront Neurol
August 2025
Department of Medical Imaging Center, Affiliated Hospital of Qinghai University, Xining, Qinghai, China.
Objective: To investigate the correlation between the changes of peripheral carotid fat density (PFD), the occurrence of acute cerebral ischemia events and the characteristics of different dangerous plaques.
Methods: A retrospective analysis was performed on patients diagnosed with carotid plaque by head and neck CTA in the Affiliated Hospital of Qinghai University from January 2021 to March 2023. All patients received head magnetic plain scan, DWI and high resolution vascular wall imaging (MR HR-VWI).
Catheter Cardiovasc Interv
September 2025
University of Texas, Houston, Texas, USA.
Background: Hydrodynamic contrast recanalization (HDR) is a novel technique to facilitate wire crossing during chronic total occlusion (CTO) percutaneous coronary interventions (PCI). The mechanisms underlying HDR have not been fully described.
Aims: To investigate the impact of HDR on plaque morphology and wire tracking during CTO PCI using intravascular ultrasound (IVUS) imaging.
Cardiovasc Ultrasound
September 2025
School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Vulnerable plaques are significant risk factors for acute ischemic events, and intraplaque neovascularization (IPN) is an important indicator for evaluating plaque vulnerability. This review summarizes the importance of IPN in the assessment of carotid plaque vulnerability, the current status of ultrasound examination of IPN, and the technical advancements in ultrasound imaging of IPN, These techniques include: Superb micro-vascular imaging; Contrast-enhanced ultrasound; Plane wave ultra-sensitive blood flow imaging; Ultrasound-targeted microbubble destruction; Ultrasound Super-Resolution Imaging. Aiming to provide a reference for the prevention and treatment of ischemic cardiovascular and cerebrovascular events.
View Article and Find Full Text PDFEur Heart J
August 2025
Dept. of Clinical Sciences Malmö, Lund University, Clinical Research Centre, Malmö, Malmö, Sweden.
In this study of human carotid endarterectomy plaques (using 1128 regions of interest in a total of 10 plaques), we found that photon counting computed tomography (PCCT) can differentiate between attenuation and the spectral patterns of calcium, intra-plaque haemorrhage, thrombus, fibrosis, necrosis and lipid core. This is the first study to show the potential of PCCT in living patients using clinical routine acquisition settings, with many energy levels to detect atherosclerotic plaque features relevant for plaque rupture (which underlies most strokes and myocardial infarctions). Deepened knowledge of the atherosclerotic plaque features using non-invasive, high-resolution techniques as the recent PCCT is a crucial step towards detecting rupture-prone plaques and, thus, improve risk stratification for diagnosis, prevention or monitoring of therapeutic interventions.
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