Cadaveric preservation is fundamental to medical education, research, and surgical training, offering unmatched understanding of human anatomy and tissue dynamics. Although formalin fixation facilitates extended specimen preservation, its toxicity, tissue rigidity, and disruption of molecular analysis have prompted the creation of safer, more biologically representative alternatives. This review delineates the progression of cadaveric preservation, spanning from classical formaldehyde-based techniques through transitional low-toxicity chemical approaches to emerging formaldehyde-free methodologies. We assess the composition, benefits, and drawbacks of each technique, emphasizing the integration with machine learning-guided perfusion, nanotechnology-enhanced polymers, and hybrid approaches that combine digital imaging, 3D scaffolds, and automated monitoring. We propose a decision-making framework that integrates preservation decisions with instructional goals, surgical simulation needs, and research priorities, while adhering to ethical and environmental standards. This thorough analysis combines classic and innovative methodologies to provide practical suggestions for institutions aiming to enhance cadaveric resources for future medical professionals.
Revitalizing the Silent Teacher: Cutting-Edge Techniques for High-Fidelity Cadaveric Anatomy
Salvatore Pezzino
;Tonia Luca;Stefano Puleo;Sergio Castorina
2026-01-01
Abstract
Cadaveric preservation is fundamental to medical education, research, and surgical training, offering unmatched understanding of human anatomy and tissue dynamics. Although formalin fixation facilitates extended specimen preservation, its toxicity, tissue rigidity, and disruption of molecular analysis have prompted the creation of safer, more biologically representative alternatives. This review delineates the progression of cadaveric preservation, spanning from classical formaldehyde-based techniques through transitional low-toxicity chemical approaches to emerging formaldehyde-free methodologies. We assess the composition, benefits, and drawbacks of each technique, emphasizing the integration with machine learning-guided perfusion, nanotechnology-enhanced polymers, and hybrid approaches that combine digital imaging, 3D scaffolds, and automated monitoring. We propose a decision-making framework that integrates preservation decisions with instructional goals, surgical simulation needs, and research priorities, while adhering to ethical and environmental standards. This thorough analysis combines classic and innovative methodologies to provide practical suggestions for institutions aiming to enhance cadaveric resources for future medical professionals.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


