Fractures and Joint Injuries

1955 ◽  
Vol 2 (20) ◽  
pp. 811-812
Keyword(s):  
Joint Injuries

scholarly journals Computationally Efficient Magnetic Resonance Imaging Based Surface Contact Modeling as a Tool to Evaluate Joint Injuries and Outcomes of Surgical Interventions Compared to Finite Element Modeling

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Joshua E. Johnson ◽  
Phil Lee ◽  
Terence E. McIff ◽  
E. Bruce Toby ◽  
Kenneth J. Fischer
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Joint Mechanics ◽  
Computationally Efficient ◽  
Efficient Manner ◽  
Element Modeling ◽  
Joint Injuries ◽  
Surface Contact ◽  
Joint Contact ◽  
Contact Pressures

Joint injuries and the resulting posttraumatic osteoarthritis (OA) are a significant problem. There is still a need for tools to evaluate joint injuries, their effect on joint mechanics, and the relationship between altered mechanics and OA. Better understanding of injuries and their relationship to OA may aid in the development or refinement of treatment methods. This may be partially achieved by monitoring changes in joint mechanics that are a direct consequence of injury. Techniques such as image-based finite element modeling can provide in vivo joint mechanics data but can also be laborious and computationally expensive. Alternate modeling techniques that can provide similar results in a computationally efficient manner are an attractive prospect. It is likely possible to estimate risk of OA due to injury from surface contact mechanics data alone. The objective of this study was to compare joint contact mechanics from image-based surface contact modeling (SCM) and finite element modeling (FEM) in normal, injured (scapholunate ligament tear), and surgically repaired radiocarpal joints. Since FEM is accepted as the gold standard to evaluate joint contact stresses, our assumption was that results obtained using this method would accurately represent the true value. Magnetic resonance images (MRI) of the normal, injured, and postoperative wrists of three subjects were acquired when relaxed and during functional grasp. Surface and volumetric models of the radiolunate and radioscaphoid articulations were constructed from the relaxed images for SCM and FEM analyses, respectively. Kinematic boundary conditions were acquired from image registration between the relaxed and grasp images. For the SCM technique, a linear contact relationship was used to estimate contact outcomes based on interactions of the rigid articular surfaces in contact. For FEM, a pressure-overclosure relationship was used to estimate outcomes based on deformable body contact interactions. The SCM technique was able to evaluate variations in contact outcomes arising from scapholunate ligament injury and also the effects of surgical repair, with similar accuracy to the FEM gold standard. At least 80% of contact forces, peak contact pressures, mean contact pressures and contact areas from SCM were within 10 N, 0.5 MPa, 0.2 MPa, and 15 mm2, respectively, of the results from FEM, regardless of the state of the wrist. Depending on the application, the MRI-based SCM technique has the potential to provide clinically relevant subject-specific results in a computationally efficient manner compared to FEM.

Posterior Sternoclavicular Joint Injuries in Skeletally Immature Patients

2014 ◽  
Vol 34 (4) ◽  
pp. 369-375 ◽  
Author(s):  
Jared T. Lee ◽  
Adam Y. Nasreddine ◽  
Eric M. Black ◽  
Donald S. Bae ◽  
Mininder S. Kocher
Keyword(s):  
Sternoclavicular Joint ◽  
Skeletally Immature ◽  
Joint Injuries

Descriptive epidemiology of joint injuries in Thoroughbred racehorses in training

2011 ◽  
Vol 44 (1) ◽  
pp. 13-19 ◽  
Author(s):  
S. R. REED ◽  
B. F. JACKSON ◽  
C. W. MC ILWRAITH ◽  
I. M. WRIGHT ◽  
R. PILSWORTH ◽  
...  
Keyword(s):  
Descriptive Epidemiology ◽  
Joint Injuries ◽  
Thoroughbred Racehorses

Bilateral tarsometatarsal joint injuries: An unusual mechanism producing unusual variants

The Foot ◽  
2015 ◽  
Vol 25 (2) ◽  
pp. 120-123 ◽  
Author(s):  
P.S. Young ◽  
V.L. Clement ◽  
A. Lomax ◽  
J. Badhesha ◽  
R.J. Miller ◽  
...  
Keyword(s):  
Joint Injuries ◽  
Tarsometatarsal Joint

scholarly journals Infrared Fiber-Optic Spectroscopy Detects Bovine Articular Cartilage Degeneration

Cartilage ◽  
2021 ◽  
pp. 194760352199322
Author(s):  
Vesa Virtanen ◽  
Ervin Nippolainen ◽  
Rubina Shaikh ◽  
Isaac O. Afara ◽  
Juha Töyräs ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Infrared Spectroscopy ◽  
Articular Cartilage ◽  
Fiber Optic ◽  
Mechanical Damage ◽  
Attenuated Total Reflectance ◽  
Support Vector ◽  
Mid Infrared ◽  
Total Reflectance ◽  
Joint Injuries

Objective Joint injuries may lead to degeneration of cartilage tissue and initiate development of posttraumatic osteoarthritis. Arthroscopic surgeries can be used to treat joint injuries, but arthroscopic evaluation of articular cartilage quality is subjective. Fourier transform infrared spectroscopy combined with fiber optics and attenuated total reflectance crystal could be used for the assessment of tissue quality during arthroscopy. We hypothesize that fiber-optic mid-infrared spectroscopy can detect enzymatically and mechanically induced damage similar to changes occurring during progression of osteoarthritis. Design Bovine patellar cartilage plugs were extracted and degraded enzymatically and mechanically. Adjacent untreated samples were utilized as controls. Enzymatic degradation was done using collagenase and trypsin enzymes. Mechanical damage was induced by (1) dropping a weight impactor on the cartilage plugs and (2) abrading the cartilage surface with a rotating sandpaper. Fiber-optic mid-infrared spectroscopic measurements were conducted before and after treatments, and spectral changes were assessed with random forest, partial least squares discriminant analysis, and support vector machine classifiers. Results All models had excellent classification performance for detecting the different enzymatic and mechanical damage on cartilage matrix. Random forest models achieved accuracies between 90.3% and 77.8%, while partial least squares model accuracies ranged from 95.8% to 84.7%, and support vector machine accuracies from 91.7% to 80.6%. Conclusions The results suggest that fiber-optic Fourier transform infrared spectroscopy attenuated total reflectance spectroscopy is a viable way to detect minor and major degeneration of articular cartilage. Objective measures provided by fiber-optic spectroscopic methods could improve arthroscopic evaluation of cartilage damage.

Knee-joint Injuries

BMJ ◽  
1964 ◽  
Vol 2 (5404) ◽  
pp. 313-313
Author(s):  
J. Cyriax
Keyword(s):  
Knee Joint ◽  
Joint Injuries

Sports-related sternoclavicular joint injuries

2019 ◽  
Vol 47 (3) ◽  
pp. 253-261 ◽  
Author(s):  
Justin E. Hellwinkel ◽  
Eric C. McCarty ◽  
Morteza Khodaee
Keyword(s):  
Sternoclavicular Joint ◽  
Joint Injuries
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