Reproducibility in modeling and simulation of the knee: Academic, industry, and regulatory perspectives. Review uri icon

Overview

abstract

  • Stakeholders in the modeling and simulation (M&S) community organized a workshop at the 2019 Annual Meeting of the Orthopaedic Research Society (ORS) entitled "Reproducibility in Modeling and Simulation of the Knee: Academic, Industry, and Regulatory Perspectives." The goal was to discuss efforts among these stakeholders to address irreproducibility in M&S focusing on the knee joint. An academic representative from a leading orthopedic hospital in the United States described a multi-institutional, open effort funded by the National Institutes of Health to assess model reproducibility in computational knee biomechanics. A regulatory representative from the United States Food and Drug Administration indicated the necessity of standards for reproducibility to increase utility of M&S in the regulatory setting. An industry representative from a major orthopedic implant company emphasized improving reproducibility by addressing indeterminacy in personalized modeling through sensitivity analyses, thereby enhancing preclinical evaluation of joint replacement technology. Thought leaders in the M&S community stressed the importance of data sharing to minimize duplication of efforts. A survey comprised 103 attendees revealed strong support for the workshop and for increasing emphasis on computational modeling at future ORS meetings. Nearly all survey respondents (97%) considered reproducibility to be an important issue. Almost half of respondents (45%) tried and failed to reproduce the work of others. Two-thirds of respondents (67%) declared that individual laboratories are most responsible for ensuring reproducible research whereas 44% thought that journals are most responsible. Thought leaders and survey respondents emphasized that computational models must be reproducible and credible to advance knee M&S.

authors

  • Imhauser, Carl W.
  • Baumann, Andrew P
  • Liu, Xiangyi Cheryl
  • Bischoff, Jeffrey E
  • Verdonschot, Nico
  • Fregly, Benjamin J
  • Elmasry, Shady S
  • Abdollahi, Neda N
  • Hume, Donald R
  • Rooks, Nynke B
  • Schneider, Marco T-Y
  • Zaylor, William
  • Besier, Thor F
  • Halloran, Jason P
  • Shelburne, Kevin B
  • Erdemir, Ahmet

publication date

  • June 22, 2023

Research

keywords

  • Knee Joint

Identity

Scopus Document Identifier

  • 85164621821

Digital Object Identifier (DOI)

  • 10.1002/jor.25652

PubMed ID

  • 37350016