A computational framework to model cartilage degeneration induced by mechanoinflammation and cytokine-driven inflammation in post-traumatic osteoarthritis
Moustafa Hamada, Atte S. A. Eskelinen, Joonas P. Kosonen…·Petri Tanska
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University of Eastern FinlandORCID 0000-0002-3486-7855Unclaimed ORCID profile · follow to get notified of new preprints
9 papers
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Moustafa Hamada, Atte S. A. Eskelinen, Joonas P. Kosonen…·Petri Tanska
Rasmus K. Hiltunen, Nina Pesonen, Simo P. Ojanen…·Petri Tanska
This study shows that proteoglycan loss is less severe in the pericellular matrix than in the extracellular matrix in the middle zone of cartilage early after ACLT in rabbits.
Moustafa Hamada, Atte S. A. Eskelinen, Joonas P. Kosonen…·Rami Kristian Korhonen
This study develops a computational model to simulate collagen loss in cartilage after injury, showing that MMP release from damaged cells leads to significant collagen degradation.
Seyed Ali Elahi, Rocío Castro-Viñuelas, Petri Tanska…·Ilse Jonkers
This study develops a mechanoregulatory model to predict how mechanical loading affects glycosaminoglycan content in human cartilage, showing increased GAG production in damaged cartilage under physiological loading.
Atte S. A. Eskelinen, Joonas P. Kosonen, Moustafa Hamada…·Rami Kristian Korhonen
The paper develops a computational model to estimate how mechanoinflammatory mechanisms affect cartilage aggrecan content over time following joint injury.
Joonas P. Kosonen, Atte S. A. Eskelinen, Gustavo A. Orozco…·Rami Kristian Korhonen
This paper develops a computational model to simulate impact-induced cartilage damage, oxidative stress, and NAC treatment effects, showing NAC reduces proteoglycan loss by mitigating cell death and enzymatic depletion.
Judith Piet, Amir Esrafilian, Seyed Ali Elahi…·Ilse Jonkers
This study uses a rat model to assess joint and tissue mechanics in post-traumatic osteoarthritis, finding no increased mechanical loading in the medial compartment despite structural changes.
Santeri J. O. Rytky, Aleksei Tiulpin, Mikko Finnilä…·Jaakko L. Niinimäki
This paper develops a deep learning-based super-resolution method to enhance clinical CT image resolution for musculoskeletal and dental imaging, showing improved microstructural detail but with some artifacts and grayscale distribution changes.
Santeri J. O. Rytky, Lingwei Huang, Petri Tanska…·Mikko Finnilä
The paper develops a deep learning segmentation method for analyzing calcified cartilage thickness using micro-CT and compares it to histology across rabbit knee regions.