Coronary arteries are susceptible to atherosclerosis, a chronic inflammatory condition of the arterial wall that gradually narrows the lumen due to plaque buildup and leading to coronary artery disease (CAD), ranking as the third leading cause of death globally. In this context, arterial anatomical features play a key role in shaping local hemodynamics and its harmful effects on the endothelium, which contribute to the onset and progression of CAD. Statistical shape models (SSMs) are increasingly being used in the cardiovascular field to investigate the complex anatomical variations of cardiovascular structures. By capturing the geometric variability within populations, SSMs might enable the identification of specific shape patterns and deviations associated with diseases.