Retinal Thickness Deviation: A New OCT Parameter for Assessing Diabetic Macular Edema.
Paola Marolo1, Enrico Borrelli2, Francesco Gelormini1
1Department of Ophthalmology, University of Turin, 10126 Turin, Italy.
Journal of Clinical Medicine
|June 28, 2023
Summary
Retinal thickness deviation (RTD) effectively predicts visual acuity in diabetic macular edema (DME) patients receiving intravitreal therapy. This metric demonstrates a stronger association with visual outcomes than central subfield thickness over time.
Area of Science:
- Ophthalmology
- Retinal Imaging
- Diabetic Retinopathy
Background:
- Diabetic macular edema (DME) is a leading cause of vision loss in diabetic patients.
- Intravitreal therapy is a common treatment for DME, but predicting visual outcomes remains crucial.
- Retinal thickness deviation (RTD) is a novel metric to assess retinal changes.
Purpose of the Study:
- To evaluate the "retinal thickness deviation" (RTD) in eyes with DME treated with intravitreal therapy.
- To determine the association between RTD and best-corrected visual acuity (BCVA) over two years.
- To compare the predictive power of RTD versus central subfield thickness (CST) on visual outcomes.
Main Methods:
- Retrospective analysis of 104 eyes with DME undergoing intravitreal therapy.
- Collected BCVA and CST data at baseline, 12 months, and 24 months.
- Calculated RTD as the difference between measured and normative CST; performed linear regression analyses.
Main Results:
- RTD significantly decreased over 24 months of treatment (p < 0.001).
- RTD showed a substantial association with BCVA at 24 months (R² = 0.272, p < 0.001).
- CST association with BCVA weakened over time, becoming weak at 24 months (R² = 0.065, p = 0.009).
Conclusions:
- RTD is a valuable indicator of visual outcomes in DME patients treated with intravitreal therapy.
- RTD demonstrates a stronger and more consistent association with BCVA compared to CST over two years.
- RTD may serve as a more reliable biomarker for monitoring treatment response and predicting visual prognosis in DME.


