Advances in Finite Element Modeling of Breast Tissue Mechanics: Applications and Challenges

Abstract

Finite Element Modeling (FEM) has emerged as a transformative tool in the study of breast tissue mechanics, ushering in a new era of understanding and innovation in breast healthcare and research. This comprehensive review explores the intricate landscape of breast tissue, spanning its anatomy and diverse mechanical properties. It delves into the fundamentals of FEM, illuminating its principles and applications, with a particular focus on its role in diagnosis, surgical planning, implant design, and radiation therapy. Challenges in data acquisition, model complexity, and validation are addressed. Emerging trends, including machine learning integration and multi-scale modeling, are examined. Ethical and regulatory considerations are also underscored. Through this exploration, the review underscores the potential of FEM to revolutionize breast healthcare, providing personalized solutions and advancing our understanding of breast tissue mechanics. Keywords: Breast tissue, Finite Element Modeling (FEM), mechanical properties, biomechanics, medical imaging, surgical planning, breast cancer diagnosis, implant design, radiation therapy, machine learning, multi-scale modeling, personalized healthcare, ethical considerations.