Research

Key project of Academy of Finland

Title: New algorithm for personalized prediction of the progression of osteoarthritis

Principal investigator: Professor Rami Korhonen

Funded by: Academy of Finland (01.10.2016 - 30.09.2018) / Decision No. 305138

Project description:

In our previous ERC funded project, we developed an algorithm that was able to predict the progression of osteoarthritis. Provided that this kind of algorithm was in clinical use, different interventions could be tested and preventive, personalized treatments could be started before clinically significant symptoms are observed. Current proposal is aiming at validation and utilization of the aforementioned algorithm, specific aims being: 1)validate the algorithm in clinical environment, 2)quantify the health and economic outcomes of the algorithm, 3)develop an easy-to use application for prediction of osteoarthritis. Clinical data collection is done in collaboration with Hospitals, while the development of image analysis and implementation of the algorithm is done in collaboration with medical device companies. The ultimate goal after the project is to have a product or service, which would aid diagnostics in hospitals and have market potential in medical device companies.


Figure 1: Ultimate goal of the project.

The latest results:

Scientific publications

  1. Törmälehto SM, Aarnio E, Mononen ME, Arokoski JPA, Korhonen RK, Martikainen JA, Trajectories of deterioration in health-related quality of life in persons with or at risk of knee osteoarthritis: data from Osteoarthritis Initiative (OAI) 8-year follow-up study. (UNDER REVIEW)

  2. Mononen ME, Liukkonen MK, Korhonen RK. Template modeling in predicting knee osteoarthritis: Data from the Osteoarthritis Initiative. (UNDER REVIEW)

  3. Orozco GA, Tanska P, Mononen ME, Halonen KS Korhonen RK. (2018). The effect of constitutive representations and structural constituents of ligaments on knee joint mechanics. Scientific Reports 8(1):15599.

  4. Törmälehto S, Mononen ME, Aarnio E, Arokoski JPA, Korhonen RK, Martikainen J. (2018). Health-related quality of life in relation to shark symptomatic and radiographic definitions of knee osteoarthritis:data from Osteoarthritis Initiative (OAI) 4-year follow- up study. Health and Quality of Life Outcomes 16(1):154.

  5. Orozco GA, Tanska P, Florea C, Grodzinsky AJ, Korhonen RK. (2018). A novel mechanobiological model can predict how physiologically relevant dynamic loading causes proteoglycan loss in mechanically injured articular cartilage.. Scientific Reports 8(1):2323.

  6. Klets O, Mononen ME, Liukkonen MK, Nevalainen MT, Nieminen MK, Saarakkala S, Korhonen RK. (2018). Estimation of the Effect of Body Weight on the Development of Osteoarthritis Based on Cumulative Stresses in Cartilage: Data from the Osteoarthritis Initiative. Annals of Biomedical Engineering 46(2):334-344.

  7. Räsänen LP, Tanska P, Zbýn Š, van Donkelaar CC, Trattnig S, Nieminen MT, Korhonen RK. (2017). The effect of fixed charge density and cartilage swelling on mechanics of knee joint cartilage during simulated gait. Journal of Biomechanics 61:34-44.

  8. Tanska P, Julkunen P, Korhonen RK. (2017). A computational algorithm to simulate disorganization of collagen network in injured articular cartilage. Biomechanics and Modeling in Mechanobiology DOI:10.1007/s10237-017-0986-3.

  9. Mononen ME, Tanska P, Isaksson H, Korhonen RK. (2017). New Algorithm for Simulation of Proteoglycan Loss and Collagen Degeneration in the Knee Joint: Data from the Osteoarthritis Initiative. Journal of Orthopaedic Research DOI:10.1002/jor.23811.

  10. Liukkonen MK, Mononen ME, Vartiainen P, Kaukinen P, Bragge T, Suomalainen JS, Malo MKH, Venesmaa S, Kakela P, Pihlajamaki J, Karjalainen PA, Arokoski JP, Korhonen RK. (2017). Evaluation of the effect of bariatric surgery-induced weight loss on knee gait and cartilage degeneration. Journal of Biomechanical Engineering DOI:10.1115/1.4038330.

  11. Liukkonen MK, Mononen ME, Tanska P, Saarakkala S, Nieminen MT, Korhonen RK. (2017). Application of a semi-automatic cartilage segmentation method for biomechanical modeling of the knee joint. Computer Methods in Biomechanics and Biomedical Engineering DOI:10.1080/10255842.2017.1375477.

  12. Liukkonen MK, Mononen ME, Klets O, Arokoski JP, Saarakkala S, Korhonen RK. (2017). Simulation of Subject-Specific Progression of Knee Osteoarthritis and Comparison to Experimental Follow-up Data: Data from the Osteoarthritis Initiative. Scientific Reports 7:9177, DOI:10.1038/s41598-017-09013-7.


Publications for general public

  1. Gustavo GA. Orozco, Petri Tanska, Cristina Florea, Alan J. Grodzinsky and Rami K. Korhonen, Tutkijat löysivät syyn miksi nivelvammat johtavat nivelrikkoon. Lehdistötiedote. 2018 (UEF)

  2. Orozco GA, Polvinivelen biomekaaninen vaste pystytään mallintamaan myös nivelen ligamenttien yksinkertaistetulla esitystavoilla. Lehdistötiedote. 2018 (UEF)

  3. Törmälehto S, Jopa miljoona suomalaista kärsii nivelrikosta – Tutkija neuvoo, miten polvikivun kanssa pärjää ja milloin kannattaa hakeutua lääkäriin. Helsingin Sanomat 15.8.2018

  4. Törmälehto S, Kipu kertoo röntgenkuvaa paremmin polven nivelrikon vaikutuksesta elämänlaatuun. Lehdistötiedote. 2018 (UEF)

  5. Liukkonen MK, Mononen ME, Nivelrikon etenemistä voidaan ennustaa. Niveltieto. 2017 4:22-23

  6. Korhonen RK, Itä-Suomen yliopistossa kehitetylle nivelrikkoalgoritmille haetaan kaupallistamismahdollisuuksia. Niveltieto. 2017 vol 4


Invention disclosures

  1. Mononen ME, Korhonen RK. Computational method to predict progression of knee osteoarthritis, accepted 07.06.2017

Project collaborators:

Contact: +358 29 4451111 (Switch), email: bbc-l [at] lists.uef.fi