Reproducibility in simulation-based prediction of natural knee mechanics

基于模拟的自然膝关节力学预测的可重复性

• 批准号: 10655984
• 负责人: AHMET ERDEMIR
• 金额: $ 66.1万
• 依托单位: CLEVELAND CLINIC LERNER COM-CWRU
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2027-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10655984
• 关键词: Acceleration; Adoption; Adult; Anatomy; Award; Biomechanics; Clinic; Clinical; Clinical Research; Cohort Studies; Collaborations; Communities; Computer Models; Computer software; Consensus; Consensus Development; Data; Degenerative polyarthritis; Dependence; Development; Diagnosis; Discipline; Disease; Ecosystem; Engineering; Etiology; Evaluation; Foundations; Goals; Health; Healthcare; Homeostasis; Implant; Infrastructure; Inherited; Injury; Institution; Joints; Knee; Knowledge; Life Cycle Stages; Ligaments; Mechanics; Meniscus structure of joint; Methods; Modeling; Musculoskeletal; Musculoskeletal Diseases; Operative Surgical Procedures; Organ; Orthopedics; Outcome; Output; Pathologic; Patients; Performance; Physics; Prevalence; Process; Prognosis; PubMed; Publishing; Quality of life; Reconstructive Surgical Procedures; Rehabilitation therapy; Replacement Arthroplasty; Reproducibility; Research; Resolution; Resources; Risk; Risk Factors; Rupture; Safety; Science; Site; Source; Specificity; Standardization; Structure; Structure-Activity Relationship; Team Process; Technology; Testing; Time; Tissues; Uncertainty; Variant; Visit; Work; biomechanical model; cartilage degradation; clinical care; clinical translation; cohort; community engagement; computing resources; cost effective; digital twin; disability; empowerment; experimental study; health care settings; healthcare community; improved; in silico; injured; innovation; knee mechanics; model building; models and simulation; musculoskeletal injury; operation; outreach; pre-clinical research; predictive modeling; preference; prototype; rehabilitation strategy; simulation; therapy design; tissue reconstruction; virtual; virtual delivery; virtual experiments

PROJECT SUMMARY Simulations of knee biomechanics are increasingly utilized to develop individualized and actionable knowledge regarding healthy homeostasis, impact of musculoskeletal diseases, and risk of injury. Computational modeling is also appealing to predict performance and safety of implants, and informs surgical tissue reconstruction and rehabilitation strategies. This is a natural result of the ubiquity of modeling and simulation in biomedicine, and it is motivated by the knee being a primary concern in musculoskeletal healthcare. However, start-to-end and turn- key examples of mechanistic simulations, to accelerate biomedical discovery and to routinely inform clinical care, are scarce. In knee biomechanics specifically, the compelling promise of modeling and simulation has not been fulfilled. Delivery of computational models and their intended utilization require many operations that collectively define the modeling and simulation workflow. Variations in the modeler’s choices and the ambiguity of their implementation introduce uncertainties that impact reproducibility across the modeling and simulation lifecycle, from intermediate products to end-point simulation results. Reproducibility is essential to the broader credibility of modeling practices. Its absence within an acceptable threshold, as dictated by the model’s intended use, is a significant barrier for adoption of simulation. Scalable uses of knee models are also impeded by the burden of modeling and simulation activities and a lack of specialized guidance. In the past award period, we documented the art of modeling and simulation in knee biomechanics. Starting with the same data and with the intent to simulate the same model use cases, five teams demonstrated how each team’s processes vary from others. This resulted in differences in anatomical and mechanical representations of tissue structures and, most importantly, simulation predictions. In the proposed project, we first aim to determine consensus workflows that represent good practices in computational knee biomechanics. Consensus will be established specific to a diverse set of model contexts of use as credibility frameworks already acknowledge the dependence of the depth and intensity of modeling activities on the intended use of models. Context of use also dictates the fidelity of the model, the amount of data to build the model and validate its predictions, computing resources, and subject- specificity. Consensus building will be facilitated by the Delphi method, which will provide the means for a structured and iterative outreach to the knee modeling experts worldwide. In the second aim, the reproducibility and accuracy of context relevant consensus workflows will be tested against required resolution of simulation outputs. Five teams will develop models and conduct simulations using the same data, with the same intent, and this time, relying on the same modeling and simulation workflow. Documented and disseminated consensus workflows, including outcomes and by-products of use cases, will unify, and possibly standardize, the highly fragmented ecosystem of knee modeling approaches. Subsequently, they will enable multi-site, large scale, and dependable in silico trials in knee biomechanics.

项目概要 膝关节生物力学的模拟越来越多地用于开发个性化和可操作的知识 关于健康的体内平衡、肌肉骨骼疾病的影响和计算模型的风险。 还可以预测植入物的性能和安全性，并为手术组织重建和 这是生物医学中建模和模拟普遍存在的自然结果。 其动机是膝盖是肌肉骨骼保健的主要关注点，然而，从开始到结束和转身。 机械模拟的关键示例，以加速生物医学发现并定期为临床护理提供信息， 特别是在膝关节生物力学方面，建模和模拟的前景还很稀缺。 计算模型的交付及其预期用途需要许多操作共同完成。 定义建模和仿真工作流程的变化及其模糊性。 实施引入了不确定性，影响整个建模和仿真生命周期的可重复性， 从中间产品到终点模拟结果，可重复性对于更广泛的可信度至关重要。 根据模型的预期用途，其在可接受阈值内的缺失是一个问题。 采用模拟的重大障碍也受到膝盖模型的负担的阻碍。 在过去的颁奖期间，我们记录了建模和模拟活动以及缺乏专门指导。 膝盖生物力学的建模和模拟艺术从相同的数据开始，目的是 通过模拟相同的模型用例，五个团队演示了每个团队的流程与其他团队的流程有何不同。 这导致了组织结构的解剖学和机械表征的差异，并且大多数 重要的是，在拟议的项目中，我们首先旨在确定共识工作流程。 代表计算膝关节生物力学的良好实践，将针对具体问题建立共识。 作为可信度框架使用的不同模型上下文已经承认深度的依赖性 模型预期用途的建模活动的强度和强度也决定了模型的保真度。 模型、构建模型并验证其预测的数据量、计算资源和主题- 德尔菲法将有助于达成共识，这将为达成共识提供手段。 与全球膝盖建模专家进行结构化和迭代的联系 第二个目标是可重复性。 上下文相关共识工作流程的准确性将根据所需的模拟分辨率进行测试 五个团队将出于相同的意图使用相同的数据开发模型并进行模拟。 这一次，依靠相同的建模和模拟工作流程记录和传播共识。 工作流程，包括用例的结果和副产品，将统一并可能标准化高度 随后，它们将实现多站点、大规模和多点建模的碎片化生态系统。 依赖于膝关节生物力学的计算机模拟试验。

项目成果

Deciphering the ?Art? in Modeling and Simulation of the Knee Joint.

破译“艺术”？

• 发表时间: 2019-03-30
• 作者: Erdemir, Ahmet;Besier, Thor F;Halloran, Jason P;Imhauser, Carl;Laz, Peter J;Morrison, Tina;Shelburne, Kevin B
• 通讯作者: Shelburne, Kevin B

A Method to Compare Heterogeneous Types of Bone and Cartilage Meshes.

一种比较异种类型的骨和软骨网格的方法。

• 发表时间: 2021
• 作者: Rooks, Nynke B;Schneider, Marco T Y;Erdemir, Ahmet;Halloran, Jason P;Laz, Peter J;Shelburne, Kevin B;Hume, Donald R;Imhauser, Carl W;Zaylor, William;Elmasry, Shady;Schwartz, Ariel;Chokhandre, Snehal K;Abdollahi Nohouji, Neda;Besier, Thor F
• 通讯作者: Besier, Thor F

Deciphering the "Art" in Modeling and Simulation of the Knee Joint: Overall Strategy.

解读膝关节建模与仿真的“艺术”：总体策略。

• 发表时间: 2019
• 作者: Erdemir, Ahmet;Besier, Thor F;Halloran, Jason P;Imhauser, Carl W;Laz, Peter J;Morrison, Tina M;Shelburne, Kevin B
• 通讯作者: Shelburne, Kevin B

Assessment of reporting practices and reproducibility potential of a cohort of published studies in computational knee biomechanics.

对计算膝关节生物力学方面已发表的一组研究的报告实践和可重复性潜力进行评估。

• 发表时间: 2023-02
• 作者: Halloran, Jason P;Abdollahi Nohouji, Neda;Hafez, Mhd A;Besier, Thor F;Chokhandre, Snehal K;Elmasry, Shady;Hume, Donald R;Imhauser, Carl W;Rooks, Nynke B;Schneider, Marco T Y;Schwartz, Ariel;Shelburne, Kevin B;Zaylor, William;Erdemir, Ahmet
• 通讯作者: Erdemir, Ahmet

Deciphering the "Art" in Modeling and Simulation of the Knee Joint: Assessing Model Calibration Workflows and Outcomes.

解读膝关节建模和仿真中的“艺术”：评估模型校准工作流程和结果。

• 发表时间: 2023-12-01
• 作者: Andreassen, Thor E;Laz, Peter J;Erdemir, Ahmet;Besier, Thor F;Halloran, Jason P;Imhauser, Carl W;Chokhandre, Snehal;Schwartz, Ariel;Nohouji, Neda Abdollahi;Rooks, Nynke B;Schneider, Marco T Y;Elmasry, Shady;Zaylor, William;Hume, Donald R;She
• 通讯作者: She