Lancet Review: Non-Invasive Cardiac Imaging and AI for Chronic Coronary Artery Disease Diagnosis
This Lancet review provides a comprehensive overview of imaging modalities for diagnosing chronic coronary artery disease, including CT coronary angiography, stress echocardiography, SPECT, PET, and cardiac MRI. The authors compare anatomical versus functional testing strategies and examine the emerging role of artificial intelligence in image interpretation, risk stratification, and workflow optimization across these modalities.
The original study
Contemporary, non-invasive imaging diagnosis of chronic coronary artery disease.
- Authors
- van der Bijl P, Gulati M, Saraste A, Marwick T, Kwong R, Blankstein R, et al.
- Journal
- Lancet (London, England)
- Type
- Journal Article, Review
- PMID
- 41318214
Original abstract
Coronary artery disease is one of the leading causes of morbidity and mortality worldwide. Although it can present with an acute coronary syndrome, it is often characterised by long periods of stability, known as chronic coronary artery disease. This Review presents a comprehensive overview of the diagnosis of the disease, with a focus on cardiac imaging. We discuss various cardiac imaging modalities, including CT coronary angiography, stress echocardiogram, stress single-photon emission CT, PET, and stress cardiac magnetic resonance. We also compare the roles of anatomical (eg, CT coronary angiography) versus functional (eg, stress echocardiogram) tests and examine the potential utility of artificial intelligence in more detail.