Document Detail


Accuracy and Reproducibility of Automated Drusen Segmentation in Eyes with Non-neovascular Age-Related Macular Degeneration.
MedLine Citation:
PMID:  23150629     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
PURPOSE: To evaluate the accuracy and reproducibility of drusen quantification by an automated drusen segmentation algorithm in spectral domain optical coherence tomography (SD-OCT) images of eyes with non-neovascular age-related macular degeneration (AMD). METHODS: Drusen segmentation was performed using both a commercial automated algorithm (Cirrus OCT RPE analysis tool) and manual segmentation in 44 eyes of 30 subjects with dry AMD who underwent volume OCT scanning. The drusen (space between outer RPE layer and Bruch's membrane) was segmented automatically using an automated RPE tool and manually by 3D-OCTOR. Drusen area and volume were calculated in all eyes. Age and visual acuity data was also collected. Reproducibility of manual and automated measurements was assessed by intraclass correlation (ICC). RESULTS: The mean age of subjects was 78.24 (± 9.4, range; 56 - 97 years). Mean Log MAR visual acuity was 0.4 (Snellen equivalent ~ 20/50) (SD: 0.40; range: 0 - 1.3). The mean (SD) drusen area was 5.05 (3.67) mm2 with manual segmentation and 4.66 (3.51) mm2 with the automated RPE tool; the absolute difference was 2.63 (2.5) mm2. Mean drusen volume was 1.49 (0.42) mm3 with manual segmentation and 1.42 (0.43) mm3 with the automated RPE tool; the absolute difference was 1.42 (0.43) mm3. Agreement between manual and automated measurements of drusen volume (highest ICC=0.95) was better than the agreement for drusen area (ICC=0.65). CONCLUSION: The quantification of drusen area and volume using an automated RPE yielded better agreement for volume than for area when compared with human expert manual segmentation. Using this software, drusen volume measurements may be a useful tool for quantifying drusen burden in clinical trials and clinical practice.
Authors:
Muneeswar Gupta Nittala; Humberto Ruiz-Garcia; Srinivas R Sadda
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-11-13
Journal Detail:
Title:  Investigative ophthalmology & visual science     Volume:  -     ISSN:  1552-5783     ISO Abbreviation:  Invest. Ophthalmol. Vis. Sci.     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-11-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7703701     Medline TA:  Invest Ophthalmol Vis Sci     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Department of Ophthalmology, University of Southern California, Doheny Eye Institute, Keck School of Medicine, Los Angeles, CA, United States.
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