Literature DB >> 28834946

IDENTIFYING FEATURES OF EARLY AND LATE AGE-RELATED MACULAR DEGENERATION: A Comparison of Multicolor Versus Traditional Color Fundus Photography.

Katie W Graham1, Usha Chakravarthy, Ruth E Hogg, K Alyson Muldrew, Ian S Young, Frank Kee.   

Abstract

PURPOSE: To compare multicolor (MC) and traditional color fundus photography (CFP) in their ability to detect features of early and late age-related macular degeneration (AMD).
METHODS: Study design: Observational case series. PARTICIPANTS: fundus images captured using standard CFP and MC imaging from 33 patients attending hospital clinics and 26 participants from the pilot phase of the Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA). Systematic grading of early and late AMD features; (hard drusen, soft drusen, reticular pseudodrusen, pigment clumping, non-geographic atrophy hypopigmentation, atrophy, hemorrhage, and fibrosis) on CFP and MC.
RESULTS: There were 105 eyes with gradable images for comparison. Using CFP as the gold standard, sensitivity values for MC ranged from 100% for atrophy, non-geographic atrophy hypopigmentation, and fibrosis to 69.7% for pigment clumping. Specificity values were high: >80% for all features. On using MC as the comparator, CFP had lower sensitivity for the detection of early AMD features (27.8% for reticular drusen to 77.8% for non-geographic atrophy hypopigmention). Analysis of OCT in discrepant cases showed better agreement with MC for all AMD lesions, except hemorrhage and non-geographic atrophy hypopigmentation. For pigment clumping, CFP and MC were in equal agreement with OCT.
CONCLUSION: Multicolor retinal imaging allowed for improved detection and definition of AMD features.

Entities:  

Mesh:

Year:  2018        PMID: 28834946     DOI: 10.1097/IAE.0000000000001777

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


  16 in total

1.  Comment on "performance characteristics of multicolor versus blue light and infrared imaging in the identification of reticular pseudodrusen".

Authors:  Kumar Saurabh; Rupak Roy
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2.  Efficacy of Multicolor Imaging in Patients With Asteroid Hyalosis: Seeing the Unseen.

Authors:  Kumar Saurabh; Rupak Roy; Maitreyi Chowdhury
Journal:  JAMA Ophthalmol       Date:  2018-04-01       Impact factor: 7.389

3.  Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.

Authors:  Gregory Ghahramani; Matthew Brendel; Mingquan Lin; Qingyu Chen; Tiarnan Keenan; Kun Chen; Emily Chew; Zhiyong Lu; Yifan Peng; Fei Wang
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

4.  Multimodal imaging of experimental choroidal neovascularization.

Authors:  Ioanna Tsioti; Xuan Liu; Petra Schwarzer; Martin S Zinkernagel; Despina Kokona
Journal:  Int J Ophthalmol       Date:  2022-06-18       Impact factor: 1.645

5.  COMPARISON OF RETINAL PATHOLOGY VISUALIZATION IN MULTISPECTRAL SCANNING LASER IMAGING.

Authors:  Amit Meshi; Tiezhu Lin; Kunny Dans; Kevin C Chen; Manuel Amador; Kyle Hasenstab; Ilkay Kilic Muftuoglu; Eric Nudleman; Daniel Chao; Dirk-Uwe Bartsch; William R Freeman
Journal:  Retina       Date:  2019-07       Impact factor: 4.256

6.  Orange ring sign: A novel finding on multicolor imaging in eyes with idiopathic choroidal neovascular membrane.

Authors:  Rupak Roy; Kumar Saurabh; Sugandha Goel
Journal:  Indian J Ophthalmol       Date:  2020-10       Impact factor: 1.848

7.  Validation of multicolor imaging signatures of central serous chorioretinopathy lesions vis-a-vis conventional color fundus photographs.

Authors:  Kumar Saurabh; Rupak Roy; Sugandha Goel; Barun Garg; Samarth Mishra
Journal:  Indian J Ophthalmol       Date:  2020-05       Impact factor: 1.848

8.  Multicolor imaging for retinal nerve fiber layer defect in glaucoma.

Authors:  Tamonash Basu; Dhaivat Shah; Debmalaya Das; Kumar Saurabh; Rupak Roy
Journal:  Indian J Ophthalmol       Date:  2018-09       Impact factor: 1.848

9.  Multimodal imaging characteristics of hydroxychloroquine retinopathy.

Authors:  Kumar Saurabh; Rupak Roy; Nicey Roy Thomas; Maitreyi Chowdhury
Journal:  Indian J Ophthalmol       Date:  2018-02       Impact factor: 1.848

10.  Relationship of Gensini score with retinal vessel diameter and arteriovenous ratio in senile CHD.

Authors:  Ning Wang; Changsen Liang
Journal:  Open Life Sci       Date:  2021-07-16       Impact factor: 0.938

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