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Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
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Advances in cartilage imaging techniques
Ali Guermazi1,2, Felix Eckstein3,4, Garry Gold5
1Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, USA. guermazi@bu.edu.
Nature Reviews. Rheumatology
|February 3, 2026
Summary
Advanced imaging techniques like MRI and CT arthrography are crucial for diagnosing and monitoring rheumatic diseases affecting articular cartilage. Emerging technologies and AI promise to further enhance early detection and personalized treatment of cartilage damage.
Area of Science:
- Orthopedics and Rheumatology
- Medical Imaging
- Biomedical Engineering
Background:
- Articular cartilage damage is a key feature of rheumatic diseases, with limited natural regeneration.
- Early diagnosis and monitoring of cartilage health are vital for effective patient management.
- Non-invasive imaging plays a critical role in assessing cartilage morphology and composition.
Purpose of the Study:
- To review the current state and future potential of advanced imaging techniques for articular cartilage.
- To highlight the role of imaging in early detection, diagnosis, and management of cartilage pathologies in rheumatic diseases.
- To explore the impact of emerging technologies, including artificial intelligence, on cartilage imaging.
Main Methods:
- Review of established and advanced Magnetic Resonance Imaging (MRI) techniques (T2 mapping, T1ρ, dGEMRIC, sodium imaging, diffusion imaging, UTE imaging).
- Evaluation of Computed Tomography (CT) arthrography as an alternative for cartilage surface lesion detection.
- Discussion of emerging modalities like ultrasonography and Positron Emission Tomography (PET).
- Exploration of the role of Artificial Intelligence (AI) in accelerating acquisition, segmentation, and interpretation.
Main Results:
- High-resolution and compositional MRI techniques enable early detection of matrix alterations preceding structural damage.
- CT arthrography is effective for evaluating cartilage surface lesions, especially when MRI is contraindicated.
- AI integration is set to revolutionize cartilage imaging, improving efficiency and clinical adoption.
Conclusions:
- Advanced cartilage imaging, particularly MRI, is essential for comprehensive assessment in rheumatic diseases.
- Emerging technologies and AI offer significant promise for improving the diagnosis and management of cartilage pathology.
- Optimized, individualized management of cartilage diseases will increasingly rely on sophisticated imaging insights.
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