Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning
Abstract
Many diseases lack visual cues in early stages, eluding image-based detection. Today, osteoarthritis is diagnosed at an irreversible stage after bone damage has occurred. This research demonstrates that osteoarthritis detection in healthy individuals may be possible 3 y prior to symptoms or bone damage. We describe a technique combining mass transport theory with statistical pattern recognition, discovering sensitive cartilage phenotypes that predict future osteoarthritis progression with high accuracy. As our approach is based on mass transport principles, the cartilage phenotype defining predictive ability can be directly visualized, a key contribution of this work. This research demonstrates that transport-based learning might enable early osteoarthritis detection and visualization at a potentially reversible stage.
- Publication:
-
Proceedings of the National Academy of Science
- Pub Date:
- October 2020
- DOI:
- 10.1073/pnas.1917405117
- Bibcode:
- 2020PNAS..11724709K