Peripheral Artery Disease

CASP1 as a key autophagy-related gene in atherosclerosis: Identification by bioinformatics analysis and experimental validation.

OBJECTIVE: This study identified potential autophagy-related genes (ARGs) in atherosclerosis using bioinformatics strategies, aiming to explore novel therapeutic targets for the clinical management of atherosclerosis. METHODS: Four gene expression datasets associated with atherosclerosis (GSE100927, GSE43292, GSE28829, and GSE20129) were retrieved from the GEO database of the NCBI and subjected to...

Examining parent-assisted sanitary pad changing education for girls with intellectual disability.

Menstrual hygiene management poses challenges for girls with intellectual disability, particularly when instruction is limited to informal or unsystematic approaches. This study examined the effectiveness of a structured instructional program targeting sanitary pad changing skills for girls with intellectual disability. A multiple-baseline-across-participants single-case design was implemented wit...

Artificial Intelligence-Assisted Contrast-Enhanced Ultrasound for Perfusion Evaluation: State-of-the-Art Review.

Accurate perfusion evaluation is crucial for clinical diagnosis and treatment, such as lesion characterization and risk stratification of carotid athe...

Precision Lipid Management in the Era of Biotechnology and Artificial Intelligence: From Gene Editing to Smart Drug Delivery.

BACKGROUND: Hyperlipidemia is a major modifiable contributor to atherosclerotic cardiovascular disease (ASCVD). Despite statins as first-line therapy,...

Spatial decoupling of plaque and circulating immune programs defines a robust gene signature in atherosclerosis: A multi-cohort integrative analysis.

Atherosclerosis (AS) is driven by chronic vascular inflammation, yet the relationship between immune activity within atherosclerotic lesions and syste...

Assessing the prognostic value of artificial intelligence for opportunistic prediction of coronary artery calcium score on routine non-gated computed tomography in patients treated with immune checkpoint inhibitors.

BACKGROUND: Immune checkpoint inhibitors (ICI) improve cancer outcomes but are associated with increased atherosclerotic cardiovascular risk. Opportun...

Machine Learning Models Integrating CYP2C19 Genotypes for Long-Term Risk Prediction and Personalized Antiplatelet Therapy Selection in Myocardial Infarction.

Machine learning (ML) models integrating genetic and clinical data show promise for personalizing antiplatelet therapy after myocardial infarction (MI...

Sex-Related Performance Disparities in Convolutional Neural Networks for Imaging-Based Assessment of Coronary Atherosclerosis and Ischemic Heart Disease: A Systematic Review.

Sex-related disparities persist in the diagnosis and management of ischemic heart disease (IHD), raising concern that convolutional neural networks (C...

A Cross-Sectional Analysis of Vascular Geometry in Adults: Associations of Age and Biological Sex with Iliofemoral Arterial and Venous Tortuosity.

Iliofemoral vascular tortuosity may reflect vascular aging, yet natural anatomic variation remains poorly characterized at scale. In this single-cente...

Associations Between Deep Learning-Derived Infrapatellar Fat Pad Volume on MRI with Cartilage Thickness and Imaging Features of Knee Osteoarthritis: Data from the Osteoarthritis Initiative.

OBJECTIVE: To investigate associations between infrapatellar fat pad volume (IPFPVol) measured on MRI with imaging features of knee osteoarthritis. DE...

MRI-based shear stress profiles in subclinical carotid atherosclerosis - A feasibility study.

Arterial wall shear stress (WSS) plays an important role in atherosclerosis, but its assessment is often limited to small, retrospective studies due t...

A machine learning-based framework for predicting type 2 diabetes mellitus using hematological indices.

OBJECTIVE: This study aimed to develop a machine learning (ML) framework to predict incident type 2 diabetes mellitus (T2DM) using routinely available...

Prediction of coronary atherosclerosis progression in type 2 diabetes mellitus based on AI-derived CCTA parameters and clinical factors: a follow-up study.

OBJECTIVE: To develop a predictive model for coronary atherosclerosis progression in patients with type 2 diabetes mellitus (T2DM) based on Artificial...

AI-quantified Myosteatosis at CAC CT for Prediction of Atrial Fibrillation and Heart Failure: The Multi-Ethnic Study of Atherosclerosis.

Purpose To evaluate whether the artificial intelligence (AI)-quantified mean thoracic skeletal muscle (TSM) attenuation from coronary artery calcium (...

Modular RNA-seq Analytics for Exploratory Biomarker Discovery using Public Data.

Publicly available RNA sequencing (RNA-seq) data provide a cost-effective springboard for biomarker discovery. However, heterogeneity across studies o...

Intracranial pressure physiology, monitoring and individualized management in the acute brain injured patient.

Acute brain injury (ABI), including traumatic brain injury, ischemic and hemorrhagic stroke, is associated with high morbidity and mortality, which is...

Machine Learning Based on Multiparametric Features from Dual-Layer Detector Spectral CT for Identifying Ulcer-Like Projection in Aortic Intramural Hematoma.

Aortic intramural hematoma (IMH) is a high-risk subtype of acute aortic syndrome (AAS). The presence of ulcer-like projection (ULP) significantly incr...

Accelerated brain aging and anterior white matter hyperintensity burden in chronic post-stroke aphasia: a lesion-aware MRI analysis.

BACKGROUND AND PURPOSE: Chronic post-stroke aphasia is heterogeneous, and focal lesion models do not fully explain persistent language impairment. We ...

Long-Term Particulate Matter Exposure and Coronary Inflammation: A Large-Scale Cohort Study Assessed by Pericoronary Fat Attenuation Index.

Particulate matter (PM) is known to accelerate atherosclerosis through systemic inflammation, yet its specific impact on local coronary inflammation r...

Association Between Inflammatory Biomarkers And Carotid Ultrasound Parameters In The Northern Manhattan Stroke Study.

Inflammation contributes to atherosclerosis and vascular remodeling, but the immune pathways associated with distinct carotid ultrasound phenotypes, i...