Multimodality Imaging for Thoracic Aortic Aneurysms

Thoracic aortic disease involves diverse degenerative, syndromic, and genetic conditions, posing lifelong risks of high morbidity and mortality. Early detection and multimodal imaging are crucial for effective surveillance and reducing complications. Understanding imaging characteristics and disease-specific features enables personalized management strategies. Emerging research on parameters like aortic length and indexed ratios promises to refine risk assessment and surgical timing beyond traditional size criteria. However, data gaps remain for heterogeneous groups such as hereditary thoracic aortopathies and vascular Ehlers-Danlos syndrome. As medicine advances toward personalized care, a comprehensive framework for multimodal imaging is essential for optimal patient outcomes.