Advances in the Assessment of Coronary Artery Disease Activity with PET/CT and CTA.
Jacek KwiecinskiRafał R WolnyAlicja ChwalaPiotr SlomkaPublished in: Tomography (Ann Arbor, Mich.) (2023)
Non-invasive testing plays a pivotal role in the diagnosis, assessment of progression, response to therapy, and risk stratification of coronary artery disease. Although anatomical plaque imaging by computed tomography angiography (CTA) and ischemia detection with myocardial perfusion imaging studies are current standards of care, there is a growing body of evidence that imaging of the processes which drive atherosclerotic plaque progression and rupture has the potential to further enhance risk stratification. In particular, non-invasive imaging of coronary plaque inflammation and active calcification has shown promise in this regard. Positron emission tomography (PET) with newly-adopted radiotracers provides unique insights into atheroma activity acting as a powerful independent predictor of myocardial infarctions. Similarly, by providing a quantitative measure of coronary inflammation, the pericoronary adipose tissue density (PCAT) derived from standard coronary CTA enhances cardiac risk prediction and allows re-stratification over and above current state-of-the-art assessments. In this review, we shall discuss the recent advances in the non-invasive methods of assessment of disease activity by PET and CTA, highlighting how these methods could improve risk stratification and ultimately benefit patients with coronary artery disease.
Keyphrases
- coronary artery disease
- positron emission tomography
- pet ct
- high resolution
- computed tomography
- coronary artery
- disease activity
- cardiovascular events
- percutaneous coronary intervention
- adipose tissue
- coronary artery bypass grafting
- rheumatoid arthritis
- left ventricular
- systemic lupus erythematosus
- healthcare
- oxidative stress
- aortic stenosis
- machine learning
- chronic kidney disease
- magnetic resonance
- palliative care
- pet imaging
- insulin resistance
- heart failure
- big data
- quality improvement
- ankylosing spondylitis
- climate change
- juvenile idiopathic arthritis
- fluorescence imaging
- aortic valve
- chronic pain
- artificial intelligence
- skeletal muscle
- bone marrow
- risk assessment
- real time pcr
- replacement therapy
- pain management