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一种用于量化松质骨中螺钉初始稳定性的新型计算机模拟方法。

A novel in silico method to quantify primary stability of screws in trabecular bone.

作者信息

Steiner Juri A, Christen Patrik, Affentranger Remo, Ferguson Stephen J, van Lenthe Gerrit Harry

机构信息

Institute for Biomechanics, ETH Zurich, Vladimir-Prelog-Weg 3, 8093 Zurich, Switzerland.

Biomechanics Section, KU Leuven-University of Leuven, Celestijnenlaan 300, 3001 Leuven, Belgium.

出版信息

J Orthop Res. 2017 Nov;35(11):2415-2424. doi: 10.1002/jor.23551. Epub 2017 Mar 8.

DOI:10.1002/jor.23551
PMID:28240380
Abstract

Insufficient primary stability of screws in bone leads to screw loosening and failure. Unlike conventional continuum finite-element models, micro-CT based finite-element analysis (micro-FE) is capable of capturing the patient-specific bone micro-architecture, providing accurate estimates of bone stiffness. However, such in silico models for screws in bone highly overestimate the apparent stiffness. We hypothesized that a more accurate prediction of primary implant stability of screws in bone is possible by considering insertion-related bone damage. We assessed two different screw types and loading scenarios in 20 trabecular bone specimens extracted from 12 cadaveric human femoral heads (N = 5 for each case). In the micro-FE model, we predicted specimen-specific Young's moduli of the peri-implant bone damage region based on morphometric parameters such that the apparent stiffness of each in silico model matched the experimentally measured stiffness of the corresponding in vitro specimen as closely as possible. The standard micro-FE models assuming perfectly intact peri-implant bone overestimated the stiffness by over 330%. The consideration of insertion related damaged peri-implant bone corrected the mean absolute percentage error down to 11.4% for both loading scenarios and screw types. Cross-validation revealed a mean absolute percentage error of 14.2%. We present the validation of a novel micro-FE modeling technique to quantify the apparent stiffness of screws in trabecular bone. While the standard micro-FE model overestimated the bone-implant stiffness, the consideration of insertion-related bone damage was crucial for an accurate stiffness prediction. This approach provides an important step toward more accurate specimen-specific micro-FE models. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 35:2415-2424, 2017.

摘要

螺钉在骨内的初始稳定性不足会导致螺钉松动和失效。与传统的连续体有限元模型不同,基于微计算机断层扫描(micro-CT)的有限元分析(micro-FE)能够捕捉患者特异性的骨微观结构,从而准确估计骨刚度。然而,这种骨内螺钉的计算机模拟模型会高度高估表观刚度。我们假设,通过考虑与植入相关的骨损伤,可以更准确地预测螺钉在骨内的初始植入稳定性。我们评估了从12具尸体人股骨头中提取的20个松质骨标本中的两种不同螺钉类型和加载情况(每种情况N = 5)。在micro-FE模型中,我们基于形态学参数预测植入物周围骨损伤区域的标本特异性杨氏模量,以使每个计算机模拟模型的表观刚度尽可能接近相应体外标本的实验测量刚度。假设植入物周围骨完全完整的标准micro-FE模型将刚度高估了330%以上。考虑与植入相关的受损植入物周围骨后,两种加载情况和螺钉类型的平均绝对百分比误差均降至11.4%。交叉验证显示平均绝对百分比误差为14.2%。我们展示了一种新型micro-FE建模技术的验证,该技术用于量化松质骨中螺钉的表观刚度。虽然标准micro-FE模型高估了骨-植入物刚度,但考虑与植入相关的骨损伤对于准确的刚度预测至关重要。这种方法为更准确的标本特异性micro-FE模型迈出了重要一步。© 2017年矫形外科学会。由威利期刊公司出版。《矫形外科学研究》35:2415 - 2424,2017年。

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