CCTA with AI Plaque Analysis
Coronary Computed Tomography Angiography (CCTA) with AI Plaque Analysis
AI plaque analysis uses machine learning software (artificial intelligence) to analyze images from a standard CCTA in order to quantify and characterize plaque in the arteries.
Benefits of CCTA with AI Plaque Analysis
Who is CCTA with AI Plaque Analysis for?
The artificial intelligence (AI) algorithms create a 2D model of the arterial lumen and outer wall. Included in the analysis are:
- Calcified, noncalcified and low-attenuation plaque areas
- Total plaque volume (TPV)
- For patients with acute or stable chest pain with 1-69% stenosis in their coronary arteries
Risk Factors
Age: Prevalence of CAD increases after age 35 in both men and women
Ethnicity: Blacks, Hispanics, Latinos, and Southeast Asians are ethnic groups with an increased risk of CAD morbidity and mortality* (National Library of Medicine)
Family History: Patients with a family history of premature cardiac disease younger than 50 years of age have an increased CAD mortality risk
Gender: Men are at increased risk compared to women (National Library of Medicine)
Other factors include: Hypertension, Hyperlipidemia, Diabetes mellitus, Obesity, Smoking, Poor diet, Sedentary lifestyle, Elevated Lipoprotein (a)
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Why Choose RadNet for Cardiac Imaging?
Your heart deserves nothing less than the best care. That’s why we’re at the forefront of cardiac imaging, combining advanced technology with expert radiology to deliver precise and reliable results.
