Still, in literature, strategies to model breast deformations are abundant and designed to different applications: estimate pose transformation , assist registration tasks among different radiological imaging modalities , model breast deformation , guide surgery , predict the healing process of the breast after tumor removal , among others. In particular, we highlight the work of Vavourakis et al. , that proposed a 3D surgical simulator to predict a patient-specific outcome after BCS. This framework predicts the breast shape after surgery taking the wound healing process into account. The simulator relies on a coupled multiscale Finite Element (FE) numerical procedure to solve two mathematical models: a biochemical model for wound healing and angiogenesis, and a biomechanical model for soft tissues and pose estimation. The first considers both wound healing biochemical process and the formation of new blood vessels, while the second predicts the breast shape as function of the breast tissues mass density and the body force vector. The final shape of the breast is then predicted as an integration of both models.