Advanced searches left 3/3

Carotid Plaque - DOAJ

Summarized by Plex Scholar
Last Updated: 02 October 2022

* If you want to update the article please login/register

Impaired sensitivity to thyroid hormones and carotid plaque in patients with coronary heart disease: A RCSCD-TCM study in China

ContextPrevious studies on the relationship between thyroid function and carotid plaque have contradictory findings, which may be due to thyroid hormone sensitivity and thyroid hormone indices. paraphrased plaque in patients with CHD were found in this study, which used logistic regression to determine the relationship between central and peripheral thyroid hormone sensitivity and carotid plaque in patients with CHD. 4843 patients had carotid plaque. The OR value for carotid plaque in males and people over 60 years was higher than in females and people over 60 years than in males and people over 60 years. Conclusion: The FT3/FT4 ratio was negatively correlated with carotid plaque, and the OR value for carotid plaque in patients with CHD was found to be higher in males, patients, and drinkers, according to this report.

Source link: https://doi.org/10.3389/fendo.2022.940633


Non-HDL-C/HDL-C ratio is associated with carotid plaque stability in general population: A cross-sectional study

paraphrasedoutput:MethodsThis report was conducted on 26,436 urban workers aged 20 years or older who participated in a comprehensive health screening between January 2016 and December 2017. However, there are no studies on the relationship between non-HDL-C/HDL-C ratio and carotid plaque stability. With increasing non-HDL-C/HDL-C ratio quartile levels and a related link to fragile carotid plaque, the incidence of stable carotid plaque has greatly increased. The mean non-carotid plaque, stable carotid plaque, and unstable carotid plaque gradually increased, according to the mean non-HDL-C/HDL-C ratios. paraphrased plaque adherence, and the results of subgroup analysis and sensitivity analysis were similar. Conclusion: The non-HDL-C/HDL-C ratio was significantly associated with carotid plaque stability and could be a good indicator of early detection of high-risk carotid plaque formation, and was a good predictor of early detection of high-risk carotid plaque adherence, according to our report.

Source link: https://doi.org/10.3389/fneur.2022.875134


Detecting vulnerable carotid plaque and its component characteristics: Progress in related imaging techniques

Primary risk factors for acute ischemic cerebrovascular disease are Carotid atherosclerotic plaque rupture and thrombosis. The timely detection of a vulnerable plaque can prevent strokes and provide evidence for clinical care. To effectively prevent and treat cerebrovascular disease, this research compares current clinical imaging techniques, as well as the benefits and drawbacks of various imaging techniques for detecting vulnerable carotid plaque.

Source link: https://doi.org/10.3389/fneur.2022.982147


High systemic immune-inflammation index is associated with carotid plaque vulnerability: New findings based on carotid ultrasound imaging in patients with acute ischemic stroke

The systemic immune-inflammation index is a novel measure of immune inflammation obtained from routine whole blood cell count testing, which comprehensively measures the body's inflammation and immune balance. This research sought to investigate the correlation between SIII level and carotid plaque vulnerability, plaque composition data, and acute ischemic stroke severity. We divided the patients into stable plaques group and a vulnerable plaque group, examining the correlation between plaque vulnerability and plaque vulnerability using carotid ultrasound to measure the carotid-responsible plaque quality. Compared to the low SII group, the high SII group had more fragile plaques and a high incidence of plaque fibrous cap rupture. Our analysis shows that elevated doses of SII may have adverse effects on stroke patients with fragile plaques with ruptured fibrous caps, which may exacerbate the severity of AIS.

Source link: https://doi.org/10.3389/fneur.2022.959531


Computed Tomography Texture Analysis of Carotid Plaque as Predictor of Unfavorable Outcome after Carotid Artery Stenting: A Preliminary Study

After carotid artery stenting, we therefore wanted to investigate the correlation between textural characteristics of carotid plaque at computed tomography angiography and unfavorable results. Between January 2010 and January 2021, were selected 172 patients who underwent CAS with CTA of the supra-aortic vessels in the first six months. The predictive model for unfavorable outcome incorporating CTA textural elements outperformed the model without textural information. Curtid plaque kurtosis derived by CTA density histogram analysis is an independent predictor of poor outcomes after CAS.

Source link: https://doi.org/10.3390/diagnostics11122214


High Sensitivity C-Reactive Protein Increases the Risk of Carotid Plaque Instability in Male Dyslipidemic Patients

Background: The aim of this study was to determine how the high sensitivity C-reactive protein levels could influence the risk of carotid plaque instability in association with other cardiovascular risk factors. Methods: One hundred and fifty-six carotid plaques from both symptomatic and asymptomatic patients requiring surgical carotid endarterectomy were retrospectively obtained. Conclusions: The results of our study show that elevated hs-CRP levels dramatically raise the carotid plaque instability in dyslipidemic patients. In patients with elevated LDL-C, a 67% rise in the risk of carotid plaque instability was found.

Source link: https://doi.org/10.3390/diagnostics11112117


FRDD-Net: Automated Carotid Plaque Ultrasound Images Segmentation Using Feature Remapping and Dense Decoding

Automated segmentation and analysis of carotid plaques ultrasound images is of utmost importance for the diagnosis and early intervention of high-risk groups of cardiovascular and cerebrovascular disease. We also have an encoder-u2013decoder system to automatically distinguish carotid plaques in this paper, so we suggest FRDD-Net, a new deep convolutional neural network that solves those challenges. In addition, we also built a compound loss function to help our network grow its network's tenacity in the face of numerous cases. In several carotid plaque ultrasound datasets and our testing methods show the best results when compared to other state-of-the-art technologies. We train and test our network and determine the best results.

Source link: https://doi.org/10.3390/s22030887

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions