Nicholas J. Dunbar , Yuhui Zhu , Ata Babazadeh-Naseri , John E. Akin , Benedetta Spazzoli , Claudio Belvedere , Davide M. Donati , Alberto Leardini , Benjamin J. Fregly
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引用次数: 0
Abstract
Additively manufactured, custom-made implants used for reconstruction are a promising treatment following tumor resection. However, failure rates due to mechanical factors remain high when used in the pelvis for even state-of-the-art prosthesis designs. In a collaborative effort between a clinical and an engineering research team, this study evaluated whether patient-specific biomechanical modeling could predict, in a blinded fashion, the mode and location of a clinically-observed mechanical failure. Multiple failure criteria were considered including the risk of bone fracture due to overloading or stress shielding and prosthesis fracture due to overloading or fatigue. The blinded predictions indicated that the risk of fatigue failure in the pubic screws were eight times higher than the most critical ilium screw and two times higher than the most critical cancellous screw. Simulation of stress-shielding during walking matched evidence of osteolysis in the ilium and pubis. Incorporating patient-specific modeling into the custom implant design process may lead to improved durability.
期刊介绍:
Medical Engineering & Physics provides a forum for the publication of the latest developments in biomedical engineering, and reflects the essential multidisciplinary nature of the subject. The journal publishes in-depth critical reviews, scientific papers and technical notes. Our focus encompasses the application of the basic principles of physics and engineering to the development of medical devices and technology, with the ultimate aim of producing improvements in the quality of health care.Topics covered include biomechanics, biomaterials, mechanobiology, rehabilitation engineering, biomedical signal processing and medical device development. Medical Engineering & Physics aims to keep both engineers and clinicians abreast of the latest applications of technology to health care.