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Record W3084281877 · doi:10.32393/csme.2020.81

Mechanically Dynamic Scaffolds for Enhanced Anterior Cruciate Ligament Reconstruction

2020· article· en· W3084281877 on OpenAlexaffabout
Jean-Gabriel Lacombe, Megan E. Cooke, H. Park, José L. Ramírez-GarcíaLuna, David Slawaska‐Eng, F. Almarek, DH Rosenzweig, Paul A. Martineau

Bibliographic record

VenueProgress in Canadian Mechanical Engineering. Volume 3 · 2020
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsMcGill University Health CentreMcGill University
Fundersnot available
KeywordsAnterior cruciate ligamentAnterior cruciate ligament reconstructionComputer scienceBiomedical engineeringMaterials scienceAnatomyMedicine

Abstract

fetched live from OpenAlex

Close to a quarter of a million ACL injuries occur each year in Canada and the United States. These injuries can result in reduced functional performance and are associated with long-term clinical conditions that include meniscal tears, chondral lesions and an increased risk of early onset osteoarthritis (OA). Surgical reconstruction is the current gold standard of care for ACL injuries. However, surgical treatment is costly and associated with high risk of post-traumatic OA within two decades of injury. Researchers have explored tissue engineering (TE) to address these shortcomings and have developed degradable graft materials that can guide functional connective tissue formation. However, scaffolds fabricated using TE methods still do not accurately mimic the anisotropic architecture and biomechanical properties of the ACL. Furthermore, the biological graft remodeling process causes significant reductions in tensile properties of the tissue-engineered scaffolds, which adds complexity to the design of such structures. Our hypothesis is that reductions in mechanical properties can be minimized by enclosing the scaffold in an artificial semi-permeable membrane and incubating it in vivo prior to ACL surgical reconstruction. A low-cost ACL scaffold was additively manufactured via fused deposition modeling using LAY-FOMM material (thermoplastic polyurethanes co-polymer with polyvinyl alcohol). Scaffolds replicating the anatomical dimensions of the ACL were printed on a Flashforge Creator Pro 3D Printer and evaluated for mechanical properties such as tensile strength, strain at failure, compression strength and Young's modulus. Second, the scaffolds will be soaked in a solution containing bFGF and TGF- growth factors and seeded with human adipose derived mesenchymal stem cells (ADSCs). The scaffolds will then be placed in a semi-permeable membrane and cells will be investigated for viability via a live/dead analysis and metabolic activity. Cell phenotype will be characterized using western blot and PCR to assess collagen types I and III, fibronectin and tenascin. Lastly, the impact of mechanical stimuli on tissue formation will be investigated using the Mechanoculture T6 bioreactor. There is currently a need for tissue-engineered ACL scaffolds that can appropriately mimic the biomechanical properties of the ACL and guide ligament formation. Due to the nature of the biological processes involved in graft reconstruction, most grafts undergo a significant reduction in tensile properties. The incubation of graft material prior to surgical intervention could maximize mechanical stability and allow patients to go back to regular activities faster with lower risk of recurring injuries.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.959
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.248
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueProgress in Canadian Mechanical Engineering. Volume 3Same topicKnee injuries and reconstruction techniquesFrench-language works237,207