Incorporating functional and biological markers, such as endothelial dysfunction and aortic stiffness, alongside morphological assessment improves risk stratification for thoracic aortic diseases.
Thoracic aortic disease has traditionally been assessed using morphological parameters, primarily maximal aortic diameter. However, accumulating experimental and clinical evidence indicates that this approach is insuf cient for individualised risk prediction. Endothelial dysfunction, chronic in ammation, and immune activation play central roles in the pathogenesis of aortic disease, driving vascular wall remodelling and functional instability that are not captured by static imaging. Increased aortic stiffness has emerged as a clinically measurable integrator of these processes, re ecting vascular ageing, in ammatory burden, and impaired mechanotransduction. By affecting central hemodynamics, aortic stiffness increases left ventricular afterload, compromises diastolic coronary perfusion, and contributes to myocardial ischemia and the development of heart failure with preserved ejection fraction. Incorporating functional and biological markers alongside morphological assessment may improve risk strati cation and help explain the occurrence of adverse aortic and cardiovascular events in patients without advanced aortic dilatation.
I. Zheleva-Kyuchukova (Thu,) conducted a review in Thoracic aortic disease. Incorporating functional and biological markers, such as endothelial dysfunction and aortic stiffness, alongside morphological assessment improves risk stratification for thoracic aortic diseases.