New Tools for Imaging Retinal Inflammation
At ARVO 2026, Ethan A. Rossi, PhD, presented data on multimodal AOSLO imaging of immune cells in the living eye.
Clinical Scorecard: New Tools for Imaging Retinal Inflammation
At a Glance
| Category | Detail |
|---|
| Condition | Retinal Inflammation |
| Key Mechanisms | Multimodal adaptive optics imaging to visualize immune cells and their activity. |
| Target Population | Patients with infectious and noninfectious uveitis, and retinal degenerations. |
| Care Setting | Uveitis clinics |
Key Highlights
- Advancements in adaptive optics scanning laser ophthalmoscopy (AOSLO) enable high-resolution imaging of retinal inflammation.
- Direct observation of immune cell activity in living human eyes provides new insights into retinal diseases.
- Dynamic imaging captures changes in cellular morphology and movement over time.
- Image processing techniques enhance the ability to detect and interpret cellular features.
- Longitudinal imaging shows treatment effects on inflammatory changes.
Guideline-Based Recommendations
Diagnosis
- Utilize multimodal AOSLO imaging for detailed assessment of retinal inflammation.
Management
- Monitor cellular activity and structural changes in patients with uveitis and retinal degenerations.
Monitoring & Follow-up
- Implement longitudinal imaging to observe treatment response and disease progression.
Risks
- Interpretation of imaging results remains challenging; further understanding is required.
Patient & Prescribing Data
Patients with active uveitis and retinal degenerations.
Imaging can reveal dynamic changes in immune cell activity and vascular structures, informing treatment strategies.
Clinical Best Practices
- Incorporate advanced imaging techniques in clinical assessments of retinal inflammation.
- Use segmentation tools and machine learning for quantifying cellular features in imaging data.
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