Performance of drusen detection by spectral-domain optical coherence tomography.

@article{Schlanitz2010PerformanceOD,
  title={Performance of drusen detection by spectral-domain optical coherence tomography.},
  author={Ferdinand Schlanitz and Christian Ahlers and Stefan Sacu and Christopher Sch{\"u}tze and M. Cunill Rodr{\'i}guez and Sabine M Schriefl and Isabelle Golbaz and Tobias Spalek and G{\'e}raldine Stock and Ursula Margarethe Schmidt-Erfurth},
  journal={Investigative ophthalmology \& visual science},
  year={2010},
  volume={51 12},
  pages={
          6715-21
        }
}
PURPOSE To evaluate the performance of automated analyses integrated in three spectral-domain optical coherence tomography (SD-OCT) devices to identify drusen in eyes with early (i.e., nonatrophic and nonneovascular) age-related macular degeneration (AMD). METHODS Twelve eyes of 12 AMD patients, classified as AREDS 2 and 3 and having a mean count of 113 drusen were examined with three clinical SD-OCT devices (Cirrus [Carl Zeiss Meditec, Dublin CA], 3DOCT-1000 [Topcon, Tokyo, Japan], and… 

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TLDR
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TLDR
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TLDR
The ability of human graders to qualitatively assess drusen volume by inspection of OCT B-scans was evaluated and this approach may be useful in the assessment of risk for progression to late age-related macular degeneration.
Validation of a Novel Automated Algorithm to Measure Drusen Volume and Area Using Swept Source Optical Coherence Tomography Angiography
TLDR
A novel automated swept source optical coherence tomography angiography algorithm to measure elevations of the retinal pigment epithelium (RPE) in eyes with nonexudative age-related macular degeneration (neAMD) was validated and was shown to be highly reproducible.
Automated intraretinal segmentation of SD-OCT images in normal and age-related macular degeneration eyes.
TLDR
The accuracy and image detail of the automated intra-retinal segmentation method was superior in healthy and early or intermediate AMD eyes, and the performance was not as good in advanced AMD, but still better than the manual outlines or the comparison method (which failed in such cases).
Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images.
TLDR
The automatic algorithm accurately and reproducibly segmented three retinal boundaries in images containing drusen and GA can reduce time and labor costs and yield objective measurements that potentially reveal quantitative RPE changes in longitudinal clinical AMD studies.
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