Considerations for reporting finite element analysis studies in biomechanics.
Considerations for reporting finite element analysis studies in biomechanics.
复制标题
报告生物力学有限元分析研究的考虑因素。
DOI：
10.1016/j.jbiomech.2011.11.038
复制
发表时间：
2012-02-23
影响因子：
2.4
通讯作者：
Morrison TM
中科院分区：
文献类型：
--
作者：
Erdemir A;Guess TM;Halloran J;Tadepalli SC;Morrison TM
基于模拟的医学和生物结构的复杂计算机模型的开发对于推进生物医学工程和临床研究变得无处不在。在过去的几十年中，有限元分析（FEA）已被广泛用于理解和预测生物力学现象。生物力学的建模和仿真方法是高度跨学科的，涉及生物医学工程和生物学所有领域的新手和熟练的开发人员。虽然模型开发和仿真平台的最新进展为研究人员提供了广泛的工具，但建模和仿真期间的决策过程变得更加不透明。因此，用于医疗决策和驱动多尺度分析的这种模型的可靠性受到质疑。建立模型开发和传播的指导方针是一项艰巨的任务，特别是对于FEA中使用的复杂和错综复杂的模型。尽管如此，如果能够建立更好的报告，研究人员将更好地理解模型的价值，并通过共享提高可重用性的潜力。因此，本文件的目标是确定资源和考虑生物力学FEA研究的报告参数。这些需要不同级别的报告参数，用于模型识别、模型结构、模拟结构、验证、确认和可用性。虽然我们认识到，可能无法提供和详细说明所提出的所有报告考虑因素，但有选择地使用这些参数可以建立一定程度的信心。然而，更详细的报告可以在基于模拟的分析中建立一个明确的决策过程大纲，以增强再现性，可重用性和共享性。
Simulation-based medicine and the development of complex computer models of biological structures is becoming ubiquitous for advancing biomedical engineering and clinical research. Finite element analysis (FEA) has been widely used in the last few decades to understand and predict biomechanical phenomena. Modeling and simulation approaches in biomechanics are highly interdisciplinary, involving novice and skilled developers in all areas of biomedical engineering and biology. While recent advances in model development and simulation platforms offer a wide range of tools to investigators, the decision making process during modeling and simulation has become more opaque. Hence, reliability of such models used for medical decision making and for driving multiscale analysis comes into question. Establishing guidelines for model development and dissemination is a daunting task, particularly with the complex and convoluted models used in FEA. Nonetheless, if better reporting can be established, researchers will have a better understanding of a model’s value and the potential for reusability through sharing will be bolstered. Thus, the goal of this document is to identify resources and considerate reporting parameters for FEA studies in biomechanics. These entail various levels of reporting parameters for model identification, model structure, simulation structure, verification, validation, and availability. While we recognize that it may not be possible to provide and detail all of the reporting considerations presented, it is possible to establish a level of confidence with selective use of these parameters. More detailed reporting, however, can establish an explicit outline of the decision-making process in simulation-based analysis for enhanced reproducibility, reusability, and sharing.
登录
查看更多内容
DOI：
10.1016/j.jclinepi.2010.03.004
发表时间：
2010-01-01
期刊：
Open medicine : a peer-reviewed, independent, open-access journal
影响因子：
--
作者：
Schulz, Kenneth F;Altman, Douglas G;Moher, David
通讯作者：
Moher, David
影响因子：
4.5
作者：
Tsafnat, Guy
通讯作者：
Tsafnat, Guy
影响因子：
46.9
作者：
Taylor, Chris F.;Field, Dawn;Sansone, Susanna-Assunta;Aerts, Jan;Apweiler, Rolf;Ashburner, Michael;Ball, Catherine A.;Binz, Pierre-Alain;Bogue, Molly;Booth, Tim;Brazma, Alvis;Brinkman, Ryan R.;Clark, Adam Michael;Deutsch, Eric W.;Fiehn, Oliver;Fostel, Jennifer;Ghazal, Peter;Gibson, Frank;Gray, Tanya;Grimes, Graeme;Hancock, John M.;Hardy, Nigel W.;Hermjakob, Henning;Julian, Randall K., Jr.;Kane, Matthew;Kettner, Carsten;Kinsinger, Christopher;Kolker, Eugene;Kuiper, Martin;Le Novere, Nicolas;Leebens-Mack, Jim;Lewis, Suzanna E.;Lord, Phillip;Mallon, Ann-Marie;Marthandan, Nishanth;Masuya, Hiroshi;McNally, Ruth;Mehrle, Alexander;Morrison, Norman;Orchard, Sandra;Quackenbush, John;Reecy, James M.;Robertson, Donald G.;Rocca-Serra, Philippe;Rodriguez, Henry;Rosenfelder, Heiko;Santoyo-Lopez, Javier;Scheuermann, Richard H.;Schober, Daniel;Smith, Barry;Snape, Jason;Stoeckert, Christian J., Jr.;Tipton, Keith;Sterk, Peter;Untergasser, Andreas;Vandesompele, Jo;Wiemann, Stefan
通讯作者：
Wiemann, Stefan
影响因子：
2.4
作者：
Guilak, F;Mow, VC
通讯作者：
Mow, VC
影响因子：
2.4
作者：
HUISKES, R;CHAO, EYS
通讯作者：
CHAO, EYS