Diffusion Tensor Imaging in Diseased Human Meniscus
Motivation: Degeneration of the knee meniscus can lead to severe outcomes like osteoarthritis, but early detection can reduce burdens on patients and healthcare systems. Current detection methods are invasive, destructive, or superficial. Goal(s): We aim to develop a nondestructive technique capable of detecting small changes in whole human menisci. Approach: Sixteen human menisci at various stages of degradation were imaged and then analyzed using the DTI (diffusion tensor imaging) model. Results: Severely degraded menisci had more disorganized fiber orientations than moderately degraded ones. Moreover, tissue microstructure showed significant differences between these two groups. Impact: DTI (diffusion tensor imaging) shows great potential in detecting changes to the microstructure of human menisci at various stages of degeneration. This technique may allow for more precise pathological evaluation and treatment selection for patients suffering from degenerative joint disease.
Authors
- S. Ould Salem
- Nian Wang (ORCID: https://orcid.org/0000-0001-6547-8580)
- Yang Xia (ORCID: https://orcid.org/0000-0003-4653-1862)
- Rui Hu (ORCID: https://orcid.org/0000-0002-1385-9047)
- Zaiyi Liu (ORCID: https://orcid.org/0000-0002-9307-8522)
- Jie Chen (ORCID: https://orcid.org/0000-0003-0266-0929)
- Nataliya Tod
- Saira Tabassam
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/4692
- Primary Topic
- Cardiovascular Effects of Exercise
- Type
- article
- Field-Weighted Citation Impact
- 0.00