Advances in Imaging and Diagnosis of Abdominal Aortic Aneurysm: A Shift in Clinical Practice

Abdominal aortic aneurysm (AAA) is a potentially life-threatening vascular condition, with rupture carrying a high mortality risk. Advances in imaging technologies have significantly improved the detection, risk stratification, and management of AAA, necessitating periodic updates to international clinical guidelines. This review examines recent advancements in AAA imaging modalities, their role in diagnosis and risk assessment, and evolving screening strategies in response to changing epidemiological trends. A systematic literature search was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, identifying key studies on diagnostic imaging techniques such as ultrasonography (US), computed tomography angiography (CTA), magnetic resonance angiography (MRA), intravascular US (IVUS), positron emission tomography-computed tomography (PET-CT), and artificial intelligence (AI)-driven imaging. US remains the preferred screening tool due to its cost-effectiveness, while CTA is the gold standard for preoperative planning. MRA is an alternative for patients with renal impairment, and emerging technologies such as AI-based imaging, IVUS, and PET-CT enhance risk prediction and surgical decision-making. Declining AAA prevalence, attributed to reduced smoking rates and improved cardiovascular risk management, has led to a shift from population-wide screening to targeted screening based on individual risk factors. Additionally, the standardization of imaging protocols and caliper placement techniques is crucial for accurate measurements and consistent clinical decision-making. As imaging technology continues to evolve, integrating AI, genetic markers, and biomarkers into screening and diagnostic protocols may enable more precise and personalized AAA management. Future research should focus on refining imaging-based risk stratification models to optimize screening and treatment strategies.