Predicting Progression of Age-Related Macular Degeneration Using OCT and Fundus Photography.

PURPOSE: To compare the performance of automatically quantified OCT imaging biomarkers and conventional risk factors manually graded on color fundus photographs for predicting progression to late age-related macular degeneration (AMD).

DESIGN

Longitudinal observational study.

PARTICIPANTS

Two hundred eighty eyes from 140 participants with bilateral large drusen.

METHODS

All participants underwent OCT and color fundus photography (CFP) at baseline and were then reviewed at 6-month intervals to determine progression to late AMD. Color fundus photographs were graded manually and OCT scans underwent automated image analyses to quantify risk factors and imaging biomarkers, respectively, based on drusen and AMD pigmentary abnormalities. Four predictive models for progression to late AMD or atrophic AMD were only developed (each including age) based on: (1) CFP only (2 parameters); (2) OCT biomarkers, minimal (3 parameters); (3) OCT biomarkers, extended (7 parameters); and (4) CFP and OCT combined (8 parameters).

MAIN OUTCOME MEASURES: Predictive performance for progression to late AMD, examined based on the area under the receiver operating characteristic curve (AUC) for correctly predicting progression.

RESULTS

The AUC for predicting late AMD development was similar for the models based on CFP alone (model 1; 0.80), OCT alone (models 2 and 3; 0.82 for both), and when using both methods together (model 4; 0.85). In addition, these models also performed similarly for predicting the end point of atrophic AMD only (AUC, 0.83, 0.84, 0.85, and 0.88 for models 1, 2, 3, and 4, respectively).

CONCLUSIONS

OCT imaging biomarkers could provide an automatic method of risk stratification for progression to vision-threatening late AMD as well as manual grading of CFP.