Historically, several factors have been identified to have a significant impact on the shape deformations caused by BCS, which can be grouped into patient, tumor and surgery related factors . Hence, any model designed to predict breast deformations should take into account the influence of those characteristics. Since the main goal of this study is to learn the influence of different combinations of those factors, a large number of 3D data of patient’s breast before and after surgery (≈1 year) is mandatory. However, there is no available dataset that satisfies such requirements. As consequence, an in-house dataset was constructed, taking advantage of available MRI data, acquired before surgery and having some anatomical structures of interest annotated. Due to the lack of post-surgery data, the wound healing process was simulated using the BCS simulator proposed by Vavourakis et al. , which made the source code available for the scientific community.