Computational morphofunctional assessment across different imaging modalities shows progress in evaluating coronary artery disease, though further research is needed for routine clinical application.
This editorial highlights recent advancements in computational morphofunctional assessment of coronary artery disease across different imaging modalities, emphasizing its potential to assist prognostication and clinical decision-making in interventional cardiology.
Identification of ischemia-producing lesions through functional assessment is fundamental in the treatment of patients with chronic coronary syndrome when percutaneous coronary intervention is considered. This process often includes evaluation of hemodynamic significance of obstructive epicardial coronary stenosis as well as microvascular disease without obstructive epicardial stenosis (1). In addition to functional evaluation, morphological assessment of coronary artery disease has gained traction for planning and evaluation of invasive procedures (2).The growing availability of computational solutions allows for an comprehensive assessment of coronary artery disease (3). This special issue of Frontiers Cardiovascular Medicine on "Computational Morphofunctional assessment of Coronary Artery Disease" provides new insight into advancements of identifying clinical scenarios where computational morphofunctional modelling can assist prognostication and clinical decision-making. In total, four papers were included and summarized below. The presented manuscripts underscore the progress in imaging for interventional cardiology, particularly with the use of computational morphofunctional assessment across different imaging modalities. However, further research is needed to evaluate the feasibility and clinical applicability of these methods in routine clinical practice.
Westra et al. (Fri,) conducted a editorial in Coronary artery disease. Computational morphofunctional assessment was evaluated. Computational morphofunctional assessment across different imaging modalities shows progress in evaluating coronary artery disease, though further research is needed for routine clinical application.