Osteoarthritis is a degenerative disease in which the articular cartilage protecting the joint starts to degenerate and wear off over time. The main risk factors of osteoarthritis are advanced age and overweight-induced significant stresses on the knee joint.
Current imaging methods such as MRI and X-ray provide information about the thickness and composition of the cartilage, but they do not provide a quantitative estimate of the patient-specific risk of osteoarthritis or its progression.
Published in Nature, researchers developed and validated a novel computational modelling method for the assessment of the patient-specific progression of osteoarthritis in the knee joint by using MRI data. "The method we have developed is based on stresses experienced by the knee joint during walking, and these were simulated on a computer. Our idea was that walking-induced cumulative stresses that exceed a certain threshold will cause local degeneration in the articular cartilage of the knee," says the author.
The patient-specific estimates of the progression of osteoarthritis obtained by computer modelling were validated against four-year follow-up data from X-ray measurements, in which the thickness of the articular cartilage in the knee was evaluated by using the Kellgren-Lawrence method. For the validation of the model, two patient groups were established: the normal weight group and the overweight group.
In the normal weight group, the thickness of healthy cartilage did not change over the four-year follow-up, whereas significant degeneration was observed in the overweight group.
"The study shows that this new method, which is based on computer modelling, was able to predict similar changes in the articular cartilage of the knee as experimental follow-up data," author says.
In the future, the method can serve as a new tool for making patient-specific prognoses on the progression of osteoarthritis. Furthermore, the method can be used for assessing the patient-specific effects of overweight on the future health of the knee joint as well as the success of clinical treatment such as menisectomy, a widely used surgical procedure.
http://www.uef.fi/-/uusi-fysiologisiin-rasituksiin-perustuva-tietokonemallinnusmenetelma-osoittaa-polviruston-ohenevan-merkitsevasti-ylipainoisilla-ihmisilla-ajan-kuluess
New computational method reveals significant degeneration of knee cartilage in overweight people
- 1,213 views
- Added
Edited
Latest News
Circadian rhythms can influ…
By newseditor
Posted 27 Apr
With hybrid brains, these m…
By newseditor
Posted 27 Apr
Blocking activation of NF-κ…
By newseditor
Posted 27 Apr
Vitamin D regulates microbi…
By newseditor
Posted 27 Apr
Role of alternative splicin…
By newseditor
Posted 27 Apr
Other Top Stories
New gene therapy for vision loss proven safe in humans
Read more
Mechanism behind rapid smell source localization discovered!
Read more
Efficient aggregating protein production using spider silk method
Read more
Deep sleep maintains the learning efficiency of the brain
Read more
Multicolor 3-D in vivo imaging using ultra-compact Compton camera
Read more
Protocols
A programmable targeted pro…
By newseditor
Posted 23 Apr
MemPrep, a new technology f…
By newseditor
Posted 08 Apr
A tangible method to assess…
By newseditor
Posted 08 Apr
Stem cell-derived vessels-o…
By newseditor
Posted 06 Apr
Single-cell biclustering fo…
By newseditor
Posted 01 Apr
Publications
Single dose creatine improv…
By newseditor
Posted 27 Apr
Autonomous circadian rhythm…
By newseditor
Posted 27 Apr
Functional sensory circuits…
By newseditor
Posted 27 Apr
Positive selection CRISPR s…
By newseditor
Posted 27 Apr
Focal clusters of peri-syna…
By newseditor
Posted 27 Apr
Presentations
Hydrogels in Drug Delivery
By newseditor
Posted 12 Apr
Lipids
By newseditor
Posted 31 Dec
Cell biology of carbohydrat…
By newseditor
Posted 29 Nov
RNA interference (RNAi)
By newseditor
Posted 23 Oct
RNA structure and functions
By newseditor
Posted 19 Oct
Posters
A chemical biology/modular…
By newseditor
Posted 22 Aug
Single-molecule covalent ma…
By newseditor
Posted 04 Jul
ASCO-2020-HEALTH SERVICES R…
By newseditor
Posted 23 Mar
ASCO-2020-HEAD AND NECK CANCER
By newseditor
Posted 23 Mar
ASCO-2020-GENITOURINARY CAN…
By newseditor
Posted 23 Mar