Literature DB >> 21388687

Spectral domain optical coherence tomography imaging of drusen in nonexudative age-related macular degeneration.

Giovanni Gregori1, Fenghua Wang, Philip J Rosenfeld, Zohar Yehoshua, Ninel Z Gregori, Brandon J Lujan, Carmen A Puliafito, William J Feuer.   

Abstract

PURPOSE: To measure drusen area and volume in eyes with nonexudative age-related macular degeneration (AMD) using spectral domain optical coherence tomography imaging (SD-OCT).
DESIGN: Evaluation of diagnostic technology. PARTICIPANTS: One hundred three eyes from 74 patients with drusen.
METHODS: Patients with drusen secondary to nonexudative AMD were enrolled in this study. Five separate SD-OCT scans, each consisting of 40 000 uniformly spaced A-scans organized as 200 A-scans in each B-scan and 200 horizontal B-scans, were performed on each eye. Each scan covered a retinal area of 6×6 mm centered on the fovea. A novel algorithm was used to quantitatively assess drusen area and volume. Measurements from the entire scans, as well as in regions contained within 3- and 5-mm circles centered on the fovea, were analyzed. Test-retest standard deviations of drusen area and volume measurements were calculated for each eye. MAIN OUTCOME MEASURES: Drusen area and volume.
RESULTS: The algorithm created drusen maps that permitted both qualitative and quantitative assessment of drusen area and volume. Both the qualitative appearance and the quantitative measurements of drusen area and volume were highly reproducible over the 5 different datasets. The intraclass correlation coefficient was >0.99 for both area and volume measurements on the entire dataset as well as the 3- and 5-mm circles. The correlation between lesion size and the test-retest standard deviations can be eliminated by performing a square root transformation of the area measurements and a cube root transformation of the volume measurements. These transformed data allowed for the inclusion of all drusen sizes in the calculation of an estimated single pooled test-retest standard deviation, which will be useful for longitudinal studies of drusen natural history.
CONCLUSIONS: A novel algorithm for the qualitative and quantitative assessment of drusen imaged using SD-OCT was shown to be highly reproducible. The ability to assess drusen volume reliably represents a new quantitative parameter to measure in AMD and may be useful when assessing disease progression, particularly in trials for treatments of nonexudative AMD.
Copyright © 2011 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2011        PMID: 21388687      PMCID: PMC3129493          DOI: 10.1016/j.ophtha.2010.11.013

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  19 in total

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Review 2.  Use of fundus imaging in quantification of age-related macular change.

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3.  Simultaneous acquisition of sectional and fundus ophthalmic images with spectral-domain optical coherence tomography.

Authors:  Shuliang Jiao; Robert Knighton; Xiangrun Huang; Giovanni Gregori; Carmen Puliafito
Journal:  Opt Express       Date:  2005-01-24       Impact factor: 3.894

4.  The Wisconsin age-related maculopathy grading system.

Authors:  R Klein; M D Davis; Y L Magli; P Segal; B E Klein; L Hubbard
Journal:  Ophthalmology       Date:  1991-07       Impact factor: 12.079

5.  Comparison of retinal thickness measurements and segmentation performance of four different spectral and time domain OCT devices in neovascular age-related macular degeneration.

Authors:  G Mylonas; C Ahlers; P Malamos; I Golbaz; G Deak; C Schuetze; Stefan Sacu; U Schmidt-Erfurth
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6.  Analysis of posterior retinal layers in spectral optical coherence tomography images of the normal retina and retinal pathologies.

Authors:  Maciej Szkulmowski; Maciej Wojtkowski; Bartosz Sikorski; Tomasz Bajraszewski; Vivek J Srinivasan; Anna Szkulmowska; Jakub J Kałuzny; James G Fujimoto; Andrzej Kowalczyk
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7.  Assessment of artifacts and reproducibility across spectral- and time-domain optical coherence tomography devices.

Authors:  Joseph Ho; Alan C Sull; Laurel N Vuong; Yueli Chen; Jonathan Liu; James G Fujimoto; Joel S Schuman; Jay S Duker
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8.  Accuracy of retinal thickness measurements obtained with Cirrus optical coherence tomography.

Authors:  P A Keane; P S Mand; S Liakopoulos; A C Walsh; S R Sadda
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9.  Reproducibility of peripapillary retinal nerve fiber thickness measurements with stratus OCT in glaucomatous eyes.

Authors:  Donald L Budenz; Marie-Josée Fredette; William J Feuer; Douglas R Anderson
Journal:  Ophthalmology       Date:  2007-08-13       Impact factor: 12.079

10.  Spectral domain optical coherence tomography for quantitative evaluation of drusen and associated structural changes in non-neovascular age-related macular degeneration.

Authors:  K Yi; M Mujat; B H Park; W Sun; J W Miller; J M Seddon; L H Young; J F de Boer; T C Chen
Journal:  Br J Ophthalmol       Date:  2008-08-12       Impact factor: 4.638

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  60 in total

1.  Is drusen area really so important? An assessment of risk of conversion to neovascular AMD based on computerized measurements of drusen.

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2.  Quantitative classification of eyes with and without intermediate age-related macular degeneration using optical coherence tomography.

Authors:  Sina Farsiu; Stephanie J Chiu; Rachelle V O'Connell; Francisco A Folgar; Eric Yuan; Joseph A Izatt; Cynthia A Toth
Journal:  Ophthalmology       Date:  2013-08-29       Impact factor: 12.079

Review 3.  Dry age-related macular degeneration: mechanisms, therapeutic targets, and imaging.

Authors:  Catherine Bowes Rickman; Sina Farsiu; Cynthia A Toth; Mikael Klingeborn
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-12-13       Impact factor: 4.799

4.  A false color fusion strategy for drusen and geographic atrophy visualization in optical coherence tomography images.

Authors:  Qiang Chen; Theodore Leng; Sijie Niu; Jiajia Shi; Luis de Sisternes; Daniel L Rubin
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5.  Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images.

Authors:  Pratul P Srinivasan; Leo A Kim; Priyatham S Mettu; Scott W Cousins; Grant M Comer; Joseph A Izatt; Sina Farsiu
Journal:  Biomed Opt Express       Date:  2014-09-12       Impact factor: 3.732

6.  Machine learning based detection of age-related macular degeneration (AMD) and diabetic macular edema (DME) from optical coherence tomography (OCT) images.

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7.  Topography of choriocapillaris flow deficit predicts development of neovascularization or atrophy in age-related macular degeneration.

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8.  Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age-related macular degeneration.

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9.  Semiautomated segmentation and analysis of retinal layers in three-dimensional spectral-domain optical coherence tomography images of patients with atrophic age-related macular degeneration.

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10.  Automatic segmentation of up to ten layer boundaries in SD-OCT images of the mouse retina with and without missing layers due to pathology.

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Journal:  Biomed Opt Express       Date:  2014-01-07       Impact factor: 3.732

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