Deep Learning-Based Detection of Carotid Plaques Informs Cardiovascular Risk Prediction and Reveals Genetic Drivers of Atherosclerosis
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Deep learning accurately detects carotid plaques in 45% of individuals, improving cardiovascular event prediction. Genetic analysis reveals novel risk factors, including lipoprotein(a) and IL-6 signaling, for atherosclerosis.
Area Of Science
- Cardiovascular Disease Research
- Medical Imaging AI
- Genetics and Genomics
Background
- Atherosclerotic cardiovascular disease is the leading global cause of death.
- Carotid plaques, detected by ultrasound, indicate subclinical atherosclerosis.
- Accurate plaque assessment is crucial for cardiovascular risk prediction.
Purpose Of The Study
- To develop and validate a deep learning model for carotid plaque detection.
- To investigate the prevalence, risk factors, and prognostic significance of carotid plaques.
- To explore the genetic architecture of subclinical atherosclerosis using genome-wide association studies.
Main Methods
- Trained a deep learning model on 177,757 carotid ultrasound images from UK Biobank participants.
- Assessed model performance with accuracy, sensitivity, specificity, and PPV.
- Conducted genome-wide association study meta-analysis and Mendelian randomization analyses.
Main Results
- The deep learning model achieved high performance (e.g., 89.3% accuracy), identifying plaques in 45% of the cohort.
- Plaque presence and count significantly predicted future cardiovascular events.
- Identified two novel genomic loci associated with carotid plaques, implicating Lp(a) and IL-6 signaling.
Conclusions
- Carotid plaque assessment using AI enhances cardiovascular risk prediction.
- Novel genetic insights into atherosclerosis pathogenesis were uncovered.
- The study provides a valuable resource for population-based atherosclerosis research.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
Related Concept Videos
Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...