Isaac Afara
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Associate Professor
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About
Isaac Afara is an Associate Professor at the University of Eastern Finland. His research focuses on tissue engineering, specifically the assessment of cartilage maturity using spectroscopy and machine learning. He has contributed to numerous studies exploring the mechanical properties of human tendons and the optical properties of articular cartilage. His work includes innovations in understanding the microenvironment of osteoarthritis and techniques for characterizing fibrotic tissues.
Recent Grants
Grant: Close
Computational modelling in spectroscopic characterization of connective tissues in osteoarthritis (COMPaCT)
Open Date: 2018-09-01
Close Date: 2023-08-01
Grant: Close
Computational modelling in spectroscopic characterization of connective tissues in osteoarthritis (COMPaCT)
Open Date: 2018-09-01
Close Date: 2021-08-01
Grant: Close
Near infrared spectroscopy for arthroscopic diagnostics of cartilage and meniscus degeneration
Open Date: 2016-04-01
Close Date: 2019-03-01
Articles (12)
Year:
2025
Year:
2025
Year:
2024
Year:
2024
Year:
2024
Year:
2023
Year:
2023
Year:
2023
Year:
2023
The aim of this study is to assess whether articular cartilage changes in an equine model of post‐traumatic osteoarthritis (PTOA), induced by surgical creation of standard (blunt) grooves, and very subtle sharp grooves, could be detected with ex vivo T 1 relaxation time mapping utilizing three‐dimensional (3D) readout sequence with zero echo time. Grooves were made on the articular surfaces of the middle carpal and radiocarpal joints of nine mature Shetland ponies and osteochondral samples were harvested at 39 weeks after being euthanized under respective ethical permissions. T 1 relaxation times of the samples ( n = 8 + 8 for experimental and n = 12 for contralateral controls) were measured with a variable flip angle 3D multiband‐sweep imaging with Fourier transform sequence. Equilibrium and instantaneous Young's moduli and proteoglycan (PG) content from OD of Safranin‐O‐stained histological sections were measured and utilized as reference parameters for the T 1 relaxation times. T 1 relaxation time was significantly ( p < 0.05) increased in both groove areas, particularly in the blunt grooves, compared with control samples, with the largest changes observed in the superficial half of the cartilage. T 1 relaxation times correlated weakly ( R s ≈ 0.33) with equilibrium modulus and PG content ( R s ≈ 0.21). T 1 relaxation time in the superficial articular cartilage is sensitive to changes induced by the blunt grooves but not to the much subtler sharp grooves, at the 39‐week timepoint post‐injury. These findings support that T 1 relaxation time has potential in detection of mild PTOA, albeit the most subtle changes could not be detected.
Year:
2023
Year:
2023
Year:
2021
Collaborators (13)
Bayden R. Wood
MONASH UNIVERSITY
Olli Nykänen
-
Jos Malda
Universitair Medisch Centrum Utrecht
Nonappa Nonappa
University of Tampere
Jaishankar Raman
Professor
University of Melbourne
Janne T. A. Mäkelä
-
Florian Foschum
Fraunhofer Institute for Laser Technology
Achim Kohler
Norwegian University of Life Sciences
Riccardo Levato
-
Ervin Nippolainen
University of Eastern Finland
Rene van Weeren
-
Louise M Burrell
University of Melbourne
Dr Rubina Shaikh
Technological University Dublin
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