Reducing uncertainty when using knee-specific finite element models by assessing the effect of input parameters.
Reducing uncertainty when using knee-specific finite element models by assessing the effect of input parameters.
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DOI：
10.1002/jor.23513
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发表时间：
2017-10
期刊：
影响因子：
--
通讯作者：
Maher SA
中科院分区：
文献类型：
--
作者：
Guo H;Santner TJ;Lerner AL;Maher SA
对影响接触力学的膝关节特定因素知之甚少。有限元（FE）模型为研究接触力学提供了一个强大的工具，但输入的精确值（例如组织特性）往往存在模糊性，这可能导致输出值的范围。我们的目标是量化当已知的预定义值用于临床可测量的输入时，来自人类膝关节的FE模型的输出值范围（本文定义为“不确定性”）的减少。为了实现这一目标，我们应用了三维增强有限元方法，三个人尸体膝关节的完整几何和运动学数据。模拟了两组条件：所有模型输入（临床可测量或不可测量）均发生变化，以代表“正常”患者人群（条件1）;临床可测量变量输入的子集固定在特定值（称为患者衍生输入或PDI），而其他变量在“正常”值范围内变化（条件2）。我们发现，通过固定体重指数和骨盆-骨骼插入点的前后位置，模型输出的不确定性降低了五分之一到五分之三。不确定性降低的幅度受到个体膝关节的强烈影响。据观察，当使用PDI时，步态期间前后平移较大的膝关节的不确定性降低更大。本研究代表了基于临床环境中患者的输入开发人体膝关节FE模型的第一步。我们使用了三个人体尸体膝关节的有限元模型来量化使用临床可测量输入变量时模型输出不确定性的降低。输入值的范围被选择为跨越“正常”群体的范围（条件1），或者包括可以在临床环境中量化的特定患者来源的输入（条件2）。通过了解膝关节几何形状、运动学、BMI和关节插入部位的位置，模型输出不确定性降低了五分之三。
Little is known about knee-specific factors that influence contact mechanics. Finite Element (FE) models offer a powerful tool to study contact mechanics, but there often exists ambiguity in the exact values of the inputs (tissue properties, for example), which can result in a range of output values. Our objective was to quantify the reduction in the range of output values (defined herein as “uncertainty”) from FE models of the human knee joint when known pre-defined values are used for clinically measurable inputs. To achieve this goal, we applied a statistically-augmented FE approach to three human cadaveric knees for which full geometric and kinematic data were available. Two sets of conditions were simulated: All model inputs, clinically measurable or not, were varied to represent a ‘normal’ patient population (Condition 1); subsets of clinically measurable variable inputs were fixed at specific values (called patient derived inputs, or PDIs) while the other variables were varied over ‘normal’ values (Condition 2). We found that by fixing body mass index and the anterior-posterior position of the meniscal-bony insertion points, model output uncertainty was reduced by one- to three-fifths. The magnitude of uncertainty reduction was strongly influenced by the individual knee. It was observed that knees with great anterior-posterior translation during gait had greater reductions in uncertainty when PDIs were used. This study represents the first step in developing FE models of the human knee joint based on inputs that can be derived from patients in a clinical setting. We used three Finite Element models of cadaveric human knees to quantify the reduction in model output uncertainty when clinically measurable input variables are used. The range of input values was chosen to span that of the ‘normal’ population (Condition 1) or, to include specific patient derived inputs that could be quantified in a clinical setting (Condition 2). Model output uncertainty was reduced by up to three-fifths by knowing knee joint geometry, kinematics, BMI, and position of meniscal insertion sites.
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影响因子：
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作者：
Gerus P;Sartori M;Besier TF;Fregly BJ;Delp SL;Banks SA;Pandy MG;D'Lima DD;Lloyd DG
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DOI：
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