Optimizing decision-making remains essential in the management of stable coronary artery disease (CAD). Recent studies of the pullback pressure gradient (PPG), a novel tool for evaluating CAD patterns, have demonstrated that the effectiveness of percutaneous coronary intervention (PCI) is strongly influenced by the baseline CAD pattern (focal vs diffuse). The capacity of PPG to predict the success of PCI provides a means to better inform decision-making, revascularization strategies and, potentially, improve clinical outcomes.