A Lower Extremity Neuromusculoskeletal Human Simulator

Investigators
Kevin Shelburne
Contact info (email)
kevin.shelburne@du.edu
1. Define context(s)
aid in clinical decision making
identify/explore new therapies
Current Conformance Level / Target Conformance Level
Adequate
Primary goal of the model/tool/database

Our vision is to create data and models to describe the human musculoskeletal system with the realism needed to understand pathology and improve treatment. Diseases and injuries often affect tissues at the microstructural scale and small-scale pathology impacts biomechanics at larger scales, leading to whole-body movement compensations and oftentimes further injury or degeneration. Ultimately, a multiscale approach, describing the behavior of individual tissues, and the biomechanics of the whole body, is needed to elucidate the etiology of diseases, mechanisms of adaptation and best treatments. The overall goal is to create a comprehensive multiscale musculoskeletal model of the human lower extremity, which includes the seamless connection between tissue and whole-body function during dynamic human activities and enables realistic investigations of musculoskeletal disease and treatment. 

Biological domain of the model
Human musculoskeletal system
Structure(s) of interest in the model
cartilage, ligament, muscle, tendon, bone, fat
Spatial scales included in the model
mm (e.g. cartilage) to m (e.g. whole-body) to human cohorts
Time scales included in the model
millisecond to minutes
Other uses for the model (optional)

Our targets are understanding the effects of knee osteoarthritis on patient function and optimizing treatment through total knee arthroplasty (TKA), however we will create and share models with broad applicability to study human musculoskeletal biomechanics.

2. Data for building and validating the model
Data for building the model Published? Private? How is credibility checked? Current Conformance Level / Target Conformance Level
in vitro (primary cells cell, lines, etc.)
ex vivo (excised tissues) Y Y Adequate
in vivo pre-clinical (lower-level organism or small animal)
in vivo pre-clinical (large animal)
Human subjects/clinical Y Y Adequate
Other: ________________________
Data for validating the model Published? Private? How is credibility checked? Current Conformance Level / Target Conformance Level
in vitro (primary cells cell, lines, etc.)
ex vivo (excised tissues) Y Y Adequate
in vivo pre-clinical (lower-level organism or small animal)
in vivo pre-clinical (large animal)
Human subjects/clinical Y Y Adequate
Other: ________________________
3. Validate within context(s)
Who does it? When does it happen? How is it done? Current Conformance Level / Target Conformance Level
Verification PI and staff Year 2 comparison to prior work Adequate
Validation PI and outside reviewers Year 3 and 4 recreate models and simulations to match in vivo data Adequate
Uncertainty quantification
Sensitivity analysis
Other:__________
Additional Comments
4. Limitations
Disclaimer statement (explain key limitations) Who needs to know about this disclaimer? How is this disclaimer shared with that audience? Current Conformance Level / Target Conformance Level
TBD
5. Version control
Current Conformance Level / Target Conformance Level
Partial
Naming Conventions? Repository? Code Review?
individual modeler TBD
within the lab
collaborators
6. Documentation
Current Conformance Level / Target Conformance Level
Code commented? Adequate
Scope and intended use described? Adequate
User’s guide? TBD
Developer’s guide?
7. Dissemination
Current Conformance Level / Target Conformance Level
Adequate
Target Audience(s): “Inner circle” Scientific community Public
Simulations SimTK.org, Digital Commons
Models SimTK.org, Digital Commons
Software SimTK.org, Digital Commons
Results
Implications of results
8. Independent reviews
Current Conformance Level / Target Conformance Level
TBD
Reviewer(s) name & affiliation:
When was review performed?
How was review performed and outcomes of the review?
9. Test competing implementations
Current Conformance Level / Target Conformance Level
TBD
Yes or No (briefly summarize)
Were competing implementations tested?
Did this lead to model refinement or improvement?
10. Conform to standards
Current Conformance Level / Target Conformance Level
Partial
Yes or No (briefly summarize)
Are there operating procedures, guidelines, or standards for this type of multiscale modeling? Partially and in process of development
How do your modeling efforts conform?
11. (optional) Additional information to support items 1-10
§1 The goal is to create a comprehensive multiscale musculoskeletal model of the human lower extremity, which enables realistic investigations of musculoskeletal disease and treatment
§2  We will measure and share publicly multiscale biomechanical data linking tissue and body movement mechanics.  The dataset will consist of knee stereo radiography, MRI and CT imaging, EMG, ground force, and whole-body motion and habitus
§3 Evaluate within context: Verification, validation, uncertainty quantification, and sensitivity analysis of the model or simulation are accomplished with respect to the in vivo data sets collected as part of item #2.
§4 As the models and data become available, limitations will be shared via a dedicated website: currently shared models and data are available at www.simtk.org/projects/knee_model and www.simtk.org/projects/kneehub and www.simtk.or/projects/readysim
§5 Version control is established by the version manager staff member at the Center for Orthopaedic Biomechanics at the Univ of Denver
§6 Documentation will follow guidelines being developed by R01EB024573 “Reproducibility in simulation­-based prediction of natural knee mechanics”
§7 Models and data will be shared via a dedicated website: currently shared models and data are available at www.simtk.org/projects/knee_model and www.simtk.org/projects/kneehub and www.simtk.or/projects/readysim
§8 Independent reviewers have agreed to test the project simulations starting in year 3 (2021)
§9 Competing implementations will be tested as they become available
§10 We will adopt and promote applicable operating procedures, guidelines, and regulations. We will complete and share the Credibility Assessment Matrices related to verification, validation, and uncertainty quantification