In the field of computational biomechanics and hip prosthesis design, the study and understanding of pelvic morphological variability provide an advantage for designing patient-specific implants and supporting custom-made production. Moreover, in the case of oncological patients with bone metastases, the pelvis may present defects and missing parts, complicating preoperative planning. A complete and standardized mathematical description of the variability of the pelvic bone is still lacking, resulting in gaps in the knowledge of local and global shape variations. To address this issue and enable the reconstruction of missing geometries in the pelvis, a powerful tool is represented by Statistical Shape Models (SSMs), which mathematically describe the main features of shape variation.