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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

基本信息

批准号：
10004617
负责人：
AHMET ERDEMIR
金额：
$ 62.54万
依托单位：
CLEVELAND CLINIC LERNER COM-CWRU
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-21 至 2023-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10004617
关键词：
Adult Anatomy Arts Biomechanics Biomedical Computing Clinic Clinical Clinical Research Communities Community Healthcare Computer Models Computer software Critiques Data Data Set Degenerative polyarthritis Development Diagnosis Discipline Disease Documentation Engineering Etiology Evaluation Foundations Goals Health Health Professional Healthcare Implant Individual Inherited Institution Intervention Intuition Joints Knee Knee joint Knowledge Laboratory Research Ligaments Masks Mechanics Medical Medical Device Meniscus structure of joint Modeling Musculoskeletal Operative Surgical Procedures Orthopedics Pathologic Pathology Physicians Population Prevalence PubMed Recovery Rehabilitation therapy Replacement Arthroplasty Reproducibility Research Research Activity Research Personnel Resources Risk Factors Rupture Sampling Site Source Specimen Structure-Activity Relationship Tissues Translating Trauma Uncertainty United States Variant Visit Work base biomechanical model clinical care clinical decision-making cost effective data exchange data sharing design early onset experience health care delivery improved in silico injured innovation joint function joint injury knee mechanics model development models and simulation outcome forecast predictive modeling preference prospective prototype reconstruction restoration simulation skills therapy design virtual virtual experiments

项目摘要

Computational modeling have become a routine and powerful strategy for academic research and clinical care. Consequently, significant scientific discoveries were made, innovative products were launched, and individualized delivery of healthcare has become a possibility. The scientific and clinical domain of knee biomechanics is no exception. The knee is a major site of orthopaedic problems resulting in annual physician visits on the order of tens of millions. Modeling and simulation offers a cost-effective and prompt path to respond to the pressing medical needs for restoration of knee function. However, the reproducibility of simulation results, to inform scientific and clinical decision making, is questionable. Reproducibility is a pressing issue in scientific conduct. For modeling and simulation, there is added scrutiny particularly with the desire to repurpose and reuse virtual specimens for prospective solutions of diverse scientific and clinical problems. A significant portion of modeling and simulation workflow includes model development, evaluation, and simulation. This workflow, while based on objective scientific principles, commonly requires intuition during implementation; therefore relies on the knowledge and expertise of the modeler. This ‘art of modeling’ can be a fundamental source of diminished reproducibility. The goal of this study is to understand how modelers’ choices to build models, even when using the same data, may influence predictions and therefore the reproducibility of simulation results. Five modeling and simulation teams will independently develop computational models of knees based on the same data sets and simulate the same scenarios, which are relevant to scientific and clinical understanding of knee biomechanics. Ideally, predicted joint and tissue mechanics will be the same. In practice, the skills and experiences of model developers will reflect upon their modeling choices; and as a result, discrepancies will exist. The proposed activity will document the magnitude and potential sources of such discrepancies through comparisons of model components and simulation results. This project will examine and critique the current state of model development and simulation reproducibility in joint and tissue mechanics. This will translate into reliable models of the knee joint for simulation-based discoveries and in silico design and evaluation of medical devices and interventions. The required exchange of data, model components, and simulation results among the teams and with the public will also impact developers and users of such resources. Specifications, to facilitate data and model exchange and to develop data and modeling standards, and guidance, to inform modeling and simulation workflows, will likely emerge as by-products of the research activity. The investigators are leaders in simulation-based explorations of knee biomechanics and include representatives of prominent research laboratories and clinical institutions worldwide. With this project, they will establish the necessary scientific rigor to recognize computational modeling and simulation as a dependable component of knee research and the joint's clinical care.

计算建模已经成为学术研究和临床护理的常规和强大的策略。