Cardiovascular magnetic resonance (CMR) imaging has become a cornerstone in the diagnosis, risk stratification, and management of cardiovascular disease (CVD), particularly heart failure (HF) and cardiomyopathies. Renowned as the gold standard for non-invasive quantification of ventricular volumes and ejection fraction, CMR delivers superior spatial and temporal resolution with excellent tissue–blood contrast. Recent advancements, including T1, T2, and T2* mapping, extracellular volume quantification, and late gadolinium enhancement, enable precise tissue characterization, allowing early detection of myocardial changes such as fibrosis, edema, and infiltration. These features provide critical insights into the pathophysiological mechanisms underlying HF phenotypes and diverse cardiomyopathies, enhancing diagnostic accuracy and guiding therapeutic decisions. This review explores the expanding role of CMR in CV disease, highlighting its diagnostic value in HF and in several cardiomyopathies, as well as its contribution to improving patient outcomes through detailed tissue characterization and prognosis.

A substantial proportion of cardiovascular (CV) events occurs in individuals without previously diagnosed CV disease, underscoring the need for improved primary prevention strategies. Traditional risk scores provide probabilistic estimates but fail to directly identify the presence and heterogeneity of subclinical atherosclerosis. This review summarizes current evidence on advanced multimodality imaging approaches for identifying high-risk individuals without prior CV events. Evidence from cohort studies, randomized trials, and meta-analyses was examined to evaluate the role of coronary artery calcium (CAC) scoring, coronary computed tomography angiography (CCTA), perivascular fat attenuation index (FAI), and vascular ultrasound in risk stratification. CAC scoring remains the most validated and widely recommended tool, offering robust prognostic value and significant risk reclassification, particularly in intermediate-risk individuals. CCTA provides additional insights into plaque burden and high-risk phenotypes, while FAI enables noninvasive assessment of coronary inflammation, improving risk prediction beyond anatomical measures. Vascular ultrasound offers a radiation-free, accessible method for detecting systemic plaque burden and refining risk estimation. Overall, multimodality imaging enhances the identification of subclinical disease and supports more individualized, disease-based risk assessment. Future research should clarify cost effectiveness, optimize patient selection, and determine whether imaging-guided strategies improve long-term clinical outcomes.