Automated assessment of drusen using three-dimensional spectral-domain optical coherence tomography

To compare automated assessment of macular drusen delineated by the authors' originally developed algorithm on three-dimensional (3D) spectral-domain optical coherence tomography (SD-OCT) with the assessment by certified graders on color fundus photographs in nonneovascular age-related macular...

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Bibliographic Details
Published in:Investigative ophthalmology & visual science Vol. 53; no. 3; p. 1576
Main Authors: Iwama, Daisuke, Hangai, Masanori, Ooto, Sotaro, Sakamoto, Atsushi, Nakanishi, Hideo, Fujimura, Takashi, Domalpally, Amitha, Danis, Ronald P, Yoshimura, Nagahisa
Format: Journal Article
Language:English
Japanese
Published: United States 21.03.2012
Subjects:
Aged
Aged, 80 and over
Algorithms
Diagnostic Techniques, Ophthalmological
Female
Humans
Japan
Macular Degeneration - diagnosis
Male
Prospective Studies
Retinal Drusen - diagnosis
Tomography, Optical Coherence - methods
Japan
ISSN:1552-5783, 1552-5783
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Summary:To compare automated assessment of macular drusen delineated by the authors' originally developed algorithm on three-dimensional (3D) spectral-domain optical coherence tomography (SD-OCT) with the assessment by certified graders on color fundus photographs in nonneovascular age-related macular degeneration (AMD). Automated assessment of macular drusen was performed using raster scan by 3D OCT scans in 18 eyes with nonneovascular AMD with at least one large druse (≥125 μm) and predominantly soft indistinct drusen. Drusen was defined as the regions that have the distance between the retinal pigment epithelium and calculated Bruch's membrane lines > predefined threshold distances. The agreement was assessed on maximum drusen size and drusen area within grid between 3D SD-OCT and color fundus photographs, and false-negative and false-positive drusen at each threshold distance. There was agreement or agreement within one step in all eyes in maximum drusen size, and 15 (83.3%) of the eyes in the drusen area, except 6 pixels, regardless of threshold distances. However, the number of eyes with exact agreement in the drusen area increased when the threshold distances were smaller than 4 pixels. In the three cases with disagreement in the drusen area, false-negative drusen on 3D SD-OCT were characterized by being small in area and height. Automated assessment of drusen parameters based on the authors' algorithm on 3D SD-OCT, which was limited by the poor detection ability of small drusen, showed good agreement with the assessment by certified graders on color fundus photography in these subjects.
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ISSN:1552-5783
1552-5783
DOI:10.1167/iovs.11-8103