Schmidt Walter, LiArno Sally, Khlopas Anton, Petersik Andreas, Mont Michael A
Modeling & Simulation Department, Stryker Orthopaedics, Mahwah, New Jersey.
Stryker Orthopaedics, Mahwah, New Jersey.
Surg Technol Int. 2018 Jun 1;32:315-324.
Due to the differences in bone morphology between demographics such as age, gender, body mass index, and ethnicity, the development of orthopaedic implants requires a large number of anatomical data from various patient populations. In an effort to assess these demographic variations, Stryker Orthopaedic Modeling and Analytics (SOMA) has been developed. SOMA is a suite of tools which utilizes a comprehensive database of computed tomography scans (CT-scans), plus associated three-dimensional (3D) bone models, allowing the user to assess population differences in bone morphology, bone density, and implant fit for the purposes of research and development. Several additional software tools are currently in development to further analyze bone density and have the potential to enhance component fit. These tools, in combination with the database, have been previously utilized for development of many implant designs and techniques in hip and knee arthroplasty, as well as in trauma surgery.
由于年龄、性别、体重指数和种族等人群在骨骼形态上存在差异,骨科植入物的研发需要大量来自不同患者群体的解剖学数据。为了评估这些人群差异,史赛克骨科建模与分析(SOMA)系统应运而生。SOMA是一套工具,它利用一个包含计算机断层扫描(CT扫描)的综合数据库以及相关的三维(3D)骨骼模型,使用户能够出于研发目的评估骨骼形态、骨密度和植入物适配方面的人群差异。目前还有几个额外的软件工具正在开发中,用于进一步分析骨密度,并有可能提高部件适配性。这些工具与数据库相结合,此前已被用于髋关节和膝关节置换术以及创伤手术中许多植入物设计和技术的研发。