Literature DB >> 19952989

Optical coherence tomography-raster scanning and manual segmentation in determining drusen volume in age-related macular degeneration.

Samuel R Freeman1, Igor Kozak, Lingyun Cheng, Dirk-Uwe Bartsch, Francesca Mojana, Nitin Nigam, Manpreet Brar, Ritchie Yuson, William R Freeman.   

Abstract

PURPOSE: Drusen are the hallmark of age-related macular degeneration (AMD), and substantial evidence exists that the amount of drusen and their effect on retinal pigment epithelium is a strong predictor of progression of AMD and vision loss. Until recently, it was not possible to quantitate the volume of the drusen. However, the use of image-stabilized scanning laser ophthalmoscope or spectral domain-optical coherence tomography (OCT) has enabled determination of drusen volume of this abnormal material. The purpose of this study was to assess the correlation of drusen volume with Age-Related Eye Disease Study (AREDS) grade and drusen area in dry AMD.
METHODS: Thirty-six eyes from 18 patients with nonexudative AMD with visual acuity between 20/16 and 20/160 were studied. Spectral domain-OCT or simultaneous OCT scans were taken as color fundus photographs (35 degrees ) of each eye. Early Treatment Diabetic Retinopathy Study visions were also recorded. The full AREDS score excluding late-stage AMD was determined by agreement between two trained observers. Drusen volume was determined by examination of a series of 96 spectral domain-OCT scans taken from arcade to arcade for a length of 6 mm. The volume was determined by calculating the drusen area in each scan and determining the drusen volume by calculating the effective volume of each cut using National Institutes of Health Image J. Drusen were identified and outlined manually, not using an automated algorithm.
RESULTS: There was a strong and significant correlation between drusen volume and AREDS-determined drusen area (P < 0.0001, r = 0.78). In addition, there was a correlation between AREDS classification and drusen volume (P = 0.023, r = 0.43) as determined by pairwise correlation.
CONCLUSION: Drusen volume as determined by spectral domain-OCT correlates with AREDS-determined drusen area and AREDS grade in nonexudative AMD. The correlation is not perfect, however, because drusen area and volume average 40% and 82% of the variation, respectively. Drusen volume can provide additional information in grading the severity of eyes with dry AMD.

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Year:  2010        PMID: 19952989     DOI: 10.1097/IAE.0b013e3181bd2f94

Source DB:  PubMed          Journal:  Retina        ISSN: 0275-004X            Impact factor:   4.256


  25 in total

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

Authors:  Thomas R Friberg; Richard A Bilonick; Peter Brennen
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-04-02       Impact factor: 4.799

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

3.  VISUALIZATION OF MACULAR PUCKER BY MULTICOLOR SCANNING LASER IMAGING.

Authors:  Ilkay Kilic Muftuoglu; Dirk-Uwe Bartsch; Giulio Barteselli; Raouf Gaber; Joseph Nezgoda; William R Freeman
Journal:  Retina       Date:  2018-02       Impact factor: 4.256

Review 4.  Optical coherence tomography: history, current status, and laboratory work.

Authors:  Michelle L Gabriele; Gadi Wollstein; Hiroshi Ishikawa; Larry Kagemann; Juan Xu; Lindsey S Folio; Joel S Schuman
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-04-14       Impact factor: 4.799

5.  Natural history of drusen morphology in age-related macular degeneration using spectral domain optical coherence tomography.

Authors:  Zohar Yehoshua; Fenghua Wang; Philip J Rosenfeld; Fernando M Penha; William J Feuer; Giovanni Gregori
Journal:  Ophthalmology       Date:  2011-07-02       Impact factor: 12.079

6.  Comparison of drusen area detected by spectral domain optical coherence tomography and color fundus imaging.

Authors:  Zohar Yehoshua; Giovanni Gregori; SriniVas R Sadda; Fernando M Penha; Raquel Goldhardt; Muneeswar G Nittala; Ranjith K Konduru; William J Feuer; Pooja Gupta; Ying Li; Philip J Rosenfeld
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-04-03       Impact factor: 4.799

7.  Retinal imaging using adaptive optics technology.

Authors:  Igor Kozak
Journal:  Saudi J Ophthalmol       Date:  2014-02-26

8.  Optical Coherence Tomography Predictors of Risk for Progression to Non-Neovascular Atrophic Age-Related Macular Degeneration.

Authors:  Karim Sleiman; Malini Veerappan; Katrina P Winter; Michelle N McCall; Glenn Yiu; Sina Farsiu; Emily Y Chew; Traci Clemons; Cynthia A Toth
Journal:  Ophthalmology       Date:  2017-08-26       Impact factor: 12.079

Review 9.  Three dimensional optical coherence tomography imaging: advantages and advances.

Authors:  Michelle L Gabriele; Gadi Wollstein; Hiroshi Ishikawa; Juan Xu; Jongsick Kim; Larry Kagemann; Lindsey S Folio; Joel S Schuman
Journal:  Prog Retin Eye Res       Date:  2010-06-11       Impact factor: 21.198

10.  Relationship between retinal layer thickness and the visual field in early age-related macular degeneration.

Authors:  Jennifer H Acton; R Theodore Smith; Donald C Hood; Vivienne C Greenstein
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-11-09       Impact factor: 4.799

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