成人大肠:描述环境形态以有效开发生物医学设备

J. Norton, James W. Martin, Conchubhair Winters, Bruno Scaglioni, K. Obstein, Venkataraman Subramanian, Pietro Valdastri
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引用次数: 0

摘要

了解生物环境,尤其是物理形态,对于开发医疗设备和软件应用程序至关重要。它不仅为适当的设计输入提供信息,还提供了在投入昂贵的临床研究之前通过虚拟或合成模型评估输出结果的机会。大肠就是一个相关的例子,它对有效的技术解决方案有着重大需求,以满足临床未满足的需求。尽管在这一领域做出了许多努力,但准确可靠的文献数据仍然很少。这项工作回顾了现有的数据,包括处理过的数据集和原始医学图像,然后为生物医学工程师全面定量描述了人体这一区域和相关区域的环境。来自 75 名患者的 CT 图像以及不同的数学和计算方法被用来计算和定义几个关键指标,包括:典型的成人体型(腹围)和腹部形状、肠道在腹腔内的位置(或深度)、大肠长度、管腔直径、挠曲数量和特征、体积和解剖迂曲度。这些指标按性别和体态进行审查和定义,并尽可能按大肠的不同解剖区域进行划分。由此得出的数据可用于描述现实的 "平均 "成人大肠环境,从而推动设计规范和高保真测试环境的发展。
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The adult large bowel: describing environment morphology for effective biomedical device development
An understanding of the biological environment, and in particular the physical morphology, is crucial for those developing medical devices and software applications. It not only informs appropriate design inputs, but provides the opportunity to evaluate outputs via virtual or synthetic models before investing in costly clinical investigations. The large bowel is a pertinent example, having a major demand for effective technological solutions to clinical unmet needs. Despite numerous efforts in this area, there remains a paucity of accurate and reliable data in literature. This work reviews what is available, including both processed datasets and raw medical images, before providing a comprehensive quantitative description of the environment for biomedical engineers in this and related regions of the body. CT images from 75 patients, and a blend of different mathematical and computational methods, are used to calculate and define several crucial metrics, including: a typical adult size (abdominal girth) and abdominal shape, location (or depth) of the bowel inside the abdomen, large bowel length, lumen diameter, flexure number and characteristics, volume and anatomical tortuosity. These metrics are reviewed and defined by both gender and body posture, as well as – wherever possible – being spilt into the various anatomical regions of the large bowel. The resulting data can be used to describe a realistic “average” adult large bowel environment and so drive both design specifications and high fidelity test environments.
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