Multibody Computer Model of the Entire Equine Forelimb Simulates Forces Causing Catastrophic Fractures of the Carpus during a Traditional Race.
Eleonora PagliaraAlvise PasinatoAlberto ValazzaBarbara RiccioFederica CantatoreMara TerziniGiovanni PutameAnnapaola ParrilliMaria SartoriMilena FiniElisabetta M ZanettiAndrea BertugliaPublished in: Animals : an open access journal from MDPI (2022)
A catastrophic fracture of the radial carpal bone experienced by a racehorse during a Palio race was analyzed. Computational modelling of the carpal joint at the point of failure informed by live data was generated using a multibody code for dynamics simulation. The circuit design in a turn, the speed of the animal and the surface characteristics were considered in the model. A macroscopic examination of the cartilage, micro-CT and histology were performed on the radio-carpal joint of the limb that sustained the fracture. The model predicted the points of contact forces generated at the level of the radio-carpal joint where the fracture occurred. Articular surfaces of the distal radius, together with the proximal articular surface of small carpal bones, exhibited diffuse wear lines, erosions of the articular cartilage and subchondral bone exposure. Even though the data in this study originated from a single fracture and further work will be required to validate this approach, this study highlights the potential correlation between elevated impact forces generated at the level of contact surfaces of the carpal joint during a turn and cartilage breakdown in the absence of pre-existing pathology. Computer modelling resulted in a useful tool to inversely calculate internal forces generated during specific conditions that cannot be reproduced in-vivo because of ethical concerns.
Keyphrases
- computed tomography
- hip fracture
- deep learning
- electronic health record
- fluorescent probe
- magnetic resonance imaging
- big data
- sensitive detection
- magnetic resonance
- escherichia coli
- body composition
- soft tissue
- cystic fibrosis
- living cells
- machine learning
- high grade
- quantum dots
- decision making
- extracellular matrix
- single molecule
- staphylococcus aureus
- pet ct