JUN 19, 2018 6:07 AM PDT

Three-Dimensional Diagnosis of Osteoarthritis

WRITTEN BY: Kara Marker

There is a new way to diagnose arthritis and watch its progression slowly over time to determine the best route of treatment. From the University of Cambridge, scientists introduce an algorithm based on three-dimensional imaging scans to monitor arthritis.

Micrograph showing degenerative joint disease compatible with osteoarthritis. Credit: Nephron

Unlike existing methods, the new approach can detect the smallest changes in arthritic joints. This way, scientists and physicians could test new treatments and understand more about how the disease develops. Learning more about arthritis could help experts better define the differences between severe cases and minor cases of arthritis.

Osteoarthritis is a degenerative joint disease, the most common chronic condition of the joints. It develops when the cartilage that cushions joint movement deteriorates, causing stiffness, swelling, and pain. Excess weight, injury, and overuse can increase the risk of osteoarthritis, and it can only be treated with surgery to replace joints with an artificial alternative.

Current diagnostic methods for osteoarthritis include x-ray imaging, scans of which would show a loss of joint cartilage in joints between bones. However, this method requires human interpretation, which can vary, and it can’t effectively keep track of small changes in joint deterioration over time.

"Our ability to detect structural changes to identify disease early, monitor progression and predict treatment response is frustratingly limited by this,” said lead author Dr. Tom Turmezei.

The new technique is called joint space mapping (JSM), and it uses three-dimensional images from a standard computerized tomography (CT) scan. A CT scan produces cross-sectional images of anatomy, uses only low doses of radiation, and can be used by clinicians to diagnose and monitor various health conditions.

CT scan-directed JSM can successfully identify even the smallest changes in the space between the bones of an arthritic joint. Researchers conducted tests on human hip joints to develop an algorithm for diagnosing osteoarthritis with JSM, and they found that the new test is twice as sensitive – possibly more – as x-rays at detecting small structural changes in the joint

"Using this technique, we'll hopefully be able to identify osteoarthritis earlier, and look at potential treatments before it becomes debilitating," Turmezei explained. "It could be used to screen at-risk populations, such as those with known arthritis, previous joint injury, or elite athletes who are at risk of developing arthritis due to the continued strain placed on their joints."

The present study was published in the journal Scientific Reports.

Source: Arthritis Foundation, U.S. Food and Drug Administration, University of Cambridge

About the Author
  • I am a scientific journalist and enthusiast, especially in the realm of biomedicine. I am passionate about conveying the truth in scientific phenomena and subsequently improving health and public awareness. Sometimes scientific research needs a translator to effectively communicate the scientific jargon present in significant findings. I plan to be that translating communicator, and I hope to decrease the spread of misrepresented scientific phenomena! Check out my science blog: ScienceKara.com.
You May Also Like
MAY 10, 2021
Clinical & Molecular DX
Noninvasive Device Warns When Wounds Are Bleeding
MAY 10, 2021
Noninvasive Device Warns When Wounds Are Bleeding
Patients with kidney failure have to undergo hemodialysis—a process where a dialysis machine takes the place of ki ...
MAY 26, 2021
Genetics & Genomics
Connecting Bacterial Genes to Human Disease
MAY 26, 2021
Connecting Bacterial Genes to Human Disease
This kind of research gets us closer to using fecal samples to get a snapshot of the microbiome, and make disease risk p ...
JUN 30, 2021
Clinical & Molecular DX
A Deep Learning Tool for Faster, Better Heart Disease Diagnoses
JUN 30, 2021
A Deep Learning Tool for Faster, Better Heart Disease Diagnoses
A new deep learning tool could help slash the time it takes to interpret cardiology scans to diagnose obstructive corona ...
AUG 24, 2021
Clinical & Molecular DX
A New Chapter in Metastatic Breast Cancer Biomarkers
AUG 24, 2021
A New Chapter in Metastatic Breast Cancer Biomarkers
For patients diagnosed with metastatic breast cancer, it’s often not the primary tumor that has fatal consequences ...
AUG 28, 2021
Cannabis Sciences
Could Eye-tracking Data Detect THC Levels?
AUG 28, 2021
Could Eye-tracking Data Detect THC Levels?
Eye-tracking data shows promise for detecting levels of tetrahydrocannabinol (THC). The corresponding study was publishe ...
SEP 01, 2021
Clinical & Molecular DX
Will Childhood Cancer Survivors Go On to Have Broken Hearts?
SEP 01, 2021
Will Childhood Cancer Survivors Go On to Have Broken Hearts?
Patients are seven times more likely to have a heart attack or stroke than the general population after receiving treatm ...
Loading Comments...