Introduction
Knee osteoarthritis is a common condition that causes pain and stiffness for millions of people worldwide. In the UK alone, more than 10 million people live with osteoarthritis , making it one of the leading causes of joint pain and mobility difficulty, especially among older adults. Despite how widespread it is, there’s still plenty of confusion about exactly what knee osteoarthritis is and how best to diagnose it. This uncertainty can make it harder for doctors to choose effective treatments, and for patients to fully understand their condition. In this article, we’ll break down what knee osteoarthritis really means, the challenges doctors face in diagnosing it, how the disease is currently classified, and explore the latest research that’s reshaping our understanding and management of this condition.
What Is Knee Osteoarthritis?
Osteoarthritis is often known as a ‘wear and tear’ disease, but that label doesn’t tell the whole story. In simple terms, osteoarthritis develops when the protective cartilage that cushions the ends of bones in a joint begins to break down. When this process affects the knees, it’s called knee osteoarthritis.
Cartilage is a smooth, slippery tissue that lets joints move easily. As it wears away, bones can start to rub directly against one another, leading to pain and swelling. Over time, the bone underneath the cartilage (the subchondral bone) thickens, and bony growths called osteophytes—or bone spurs—may develop. These changes narrow the joint space, limit movement, and increase discomfort.
Importantly, osteoarthritis isn’t just the result of joints ‘wearing out’ from use. Complex biological processes—including inflammation and changes in joint structure—play a big role. Recognizing this helps explain why symptoms can vary so much from person to person, and why treatment needs to be tailored to the individual. Recent studies emphasize that osteoarthritis significantly impacts both physical and mental well-being, making it a critical health issue.
Challenges in Diagnosing Knee Osteoarthritis
Diagnosing knee osteoarthritis is not always straightforward. The most common way to assess its severity is with the Kellgren-Lawrence grading system, which uses X-rays to evaluate joint damage. This system classifies osteoarthritis into four stages, from mild changes to severe deformity.
However, this method has important limitations. For instance, it can be hard to tell if joint space narrowing seen on X-rays is due to cartilage loss or bone spurs. This can lead to some uncertainty in making a diagnosis.
Another challenge is telling osteoarthritis apart from other joint diseases, such as rheumatoid arthritis. Osteoarthritis results mainly from cartilage breakdown, whereas rheumatoid arthritis is an autoimmune disorder that causes inflammation and swelling as the body’s immune system attacks the joints. Because early symptoms can overlap, diagnosing based solely on symptoms and X-rays can be difficult.
These hurdles highlight the need for more precise tools to help doctors make confident decisions and offer the best treatment plans.
New Developments in Diagnosis and Understanding
Recent advances in medical imaging and research on biochemical markers are improving the way we define and diagnose knee osteoarthritis. Traditional X-rays show bones clearly but struggle to capture soft tissues like cartilage and ligaments. Magnetic resonance imaging (MRI), however, provides detailed images of all parts of the joint, revealing damage that X-rays can miss.
Scientists are also looking at biomarkers—substances in the blood or joint fluid—that may signal the presence or progression of osteoarthritis. For instance, higher levels of a protein called osteopontin have been linked to joint changes in osteoarthritis. Monitoring these markers could eventually help detect the disease earlier and track how well treatments are working.
According to the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis (ESCEO), monitoring radiographic joint space narrowing over time can help identify patients whose disease is worsening rapidly and who may need more aggressive treatment.
One key finding is that even when doctors combine clinical signs and X-rays, this approach is only slightly better at predicting symptoms than relying on each one separately. This underscores just how complex osteoarthritis is, and why better diagnostic tools are still needed.
Exciting new studies are also leveraging technology to improve diagnosis. For example, recent research in Thailand used advanced motion analysis and machine learning to distinguish typical knee movement from osteoarthritis-affected movement, achieving accuracy rates as high as 97%. The same technology could eventually help with treatment planning, tracking progress, and even injury prevention.
Along with better diagnosis, new treatments currently being developed aim to address the biological processes behind osteoarthritis, not just relieve symptoms. The hope is that these therapies might slow, or even halt, disease progression for better long-term outcomes.
What This Means for Treatment and Patients
Having a clearer, more accurate definition of knee osteoarthritis is crucial for effective treatment. When doctors understand exactly what is happening inside the knee joint —and how severe the changes are—they can recommend the most appropriate therapies, from lifestyle changes and physiotherapy to medications and, if needed, surgery.
Personalized care is becoming ever more important, since osteoarthritis can affect everyone differently. Some people experience mild pain and manage well through exercise and weight management, while others need more targeted interventions. As diagnostic tools and our understanding of the disease improve, doctors can design treatments that truly fit each person’s needs.
Conclusion
Knee osteoarthritis is a common but complex disease that needs clearer definitions and better diagnostic methods. Traditional grading systems like the Kellgren-Lawrence classification are helpful, but don’t always capture the full story, sometimes leaving doctors uncertain. Ongoing research, including progress in MRI and biochemical markers, is paving the way for earlier diagnosis, more individualized care, and improved outcomes.
As scientists continue to unravel the details of knee osteoarthritis, patients and clinicians can look forward to treatments that go beyond simply easing pain, targeting the processes that cause the disease instead. Ultimately, refining how we define and diagnose knee osteoarthritis will mean better management, less pain, and greater mobility for millions of people affected by this challenging condition.
References
- Hart, D., Spector, T. D., Egger, P., Coggon, D., & Cooper, C. (1994). Defining osteoarthritis of the hand for epidemiological studies: the Chingford Study. Annals of the Rheumatic Diseases, 53(4), 220-223. https://doi.org/10.1136/ard.53.4.220
- Cooper, C., Adachi, J. D., Bardin, T., Berenbaum, F., Flamion, B., Jónsson, H., Kanis, J. А., Pelousse, F., Lems, W. F., Pelletier, J.‐P., Martel‐Pelletier, J., Reiter, S., Reginster, J.‐Y., Rizzoli, R., & Bruyère, O. (2013). How to define responders in osteoarthritis. Current Medical Research and Opinion, 29(6), 719-729. https://doi.org/10.1185/03007995.2013.792793
- Saklertwilai, S., & Tangwongcharoen, W. (2023). Defining the pattern of the Thai osteoarthritis movement data model. International Journal of Membrane Science and Technology, 10(2), 4204-4218. https://doi.org/10.15379/ijmst.v10i2.3348