Clinical and Multimodal Imaging Features of Subretinal Drusenoid Deposits

Purpose: To describe the multimodal imaging (MMI) features of subretinal drusenoid deposits (SDD) in Indian population. Methods: Patients diagnosed to have SDD from January 2016 to December 2018 at our tertiary care center were recruited. The diagnosis of SDD was made on the basis of MMI consi...

Full description

Bibliographic Details
Main Authors: Devesh Kumawat, Srikanta K. Padhy, Vinod Kumar
Format: Article
Language:English
Published: Knowledge E 2021-05-01
Series:Journal of Ophthalmic & Vision Research
Subjects:
Online Access:https://doi.org/10.18502/jovr.v16i2.9082
_version_ 1797991107229908992
author Devesh Kumawat
Srikanta K. Padhy
Vinod Kumar
author_facet Devesh Kumawat
Srikanta K. Padhy
Vinod Kumar
author_sort Devesh Kumawat
collection DOAJ
description Purpose: To describe the multimodal imaging (MMI) features of subretinal drusenoid deposits (SDD) in Indian population. Methods: Patients diagnosed to have SDD from January 2016 to December 2018 at our tertiary care center were recruited. The diagnosis of SDD was made on the basis of MMI consisting of a combination of color fundus photography (CFP), optical coherence tomography (OCT), red-free (RF) imaging, blue autofluorescence (BAF), and near-infra red reflectance (NIR) imaging. The morphological type and distribution of SDD and the associated retinal lesions were reviewed. Results: Twenty-three patients with SDD were included. The mean age of the patients was 68.1 ± 12.2 years. SDD were noted in 77.8% of eyes clinically (n = 35/45) and could be detected in 100% of these eyes with OCT. The morphology of SDD was nodular in 65.7% of eyes (n = 23/35), reticular in 5.7% (n = 2/35), and mixed pattern in the remaining cases. BAF and NIR showed hyporeflective nodular lesions often with a target configuration. The location was commonly in the perifoveal area, mostly involving the superotemporal quadrant (74.3%, n = 26/35). Associated retinal lesions were type-3 neovascularization or retinal angiomatous proliferation in 17.1% (n = 6/35), disciform scar in 11.4% (n = 4/35), type-1 neovascularization in 8.5% (n = 3/35), and geographic atrophy in 5.7% (n = 2/35) of eyes. The mean subfoveal choroidal thickness was 186.2 ± 57.8 µm. Conclusion: SDD commonly have a nodular morphology and their identification often requires confirmations with OCT. Advanced age-related macular degeneration features are frequently present in eyes with SDD and the fellow eyes.
first_indexed 2024-04-11T08:47:13Z
format Article
id doaj.art-2b112ed89c6c46ceab874af7bf10a716
institution Directory Open Access Journal
issn 2008-322X
language English
last_indexed 2024-04-11T08:47:13Z
publishDate 2021-05-01
publisher Knowledge E
record_format Article
series Journal of Ophthalmic & Vision Research
spelling doaj.art-2b112ed89c6c46ceab874af7bf10a7162022-12-22T04:33:55ZengKnowledge EJournal of Ophthalmic & Vision Research2008-322X2021-05-011618719410.18502/jovr.v16i2.9082Clinical and Multimodal Imaging Features of Subretinal Drusenoid DepositsDevesh Kumawat0Srikanta K. Padhy1Vinod Kumar2Dr Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, IndiaDr Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, IndiaDr Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, IndiaPurpose: To describe the multimodal imaging (MMI) features of subretinal drusenoid deposits (SDD) in Indian population. Methods: Patients diagnosed to have SDD from January 2016 to December 2018 at our tertiary care center were recruited. The diagnosis of SDD was made on the basis of MMI consisting of a combination of color fundus photography (CFP), optical coherence tomography (OCT), red-free (RF) imaging, blue autofluorescence (BAF), and near-infra red reflectance (NIR) imaging. The morphological type and distribution of SDD and the associated retinal lesions were reviewed. Results: Twenty-three patients with SDD were included. The mean age of the patients was 68.1 ± 12.2 years. SDD were noted in 77.8% of eyes clinically (n = 35/45) and could be detected in 100% of these eyes with OCT. The morphology of SDD was nodular in 65.7% of eyes (n = 23/35), reticular in 5.7% (n = 2/35), and mixed pattern in the remaining cases. BAF and NIR showed hyporeflective nodular lesions often with a target configuration. The location was commonly in the perifoveal area, mostly involving the superotemporal quadrant (74.3%, n = 26/35). Associated retinal lesions were type-3 neovascularization or retinal angiomatous proliferation in 17.1% (n = 6/35), disciform scar in 11.4% (n = 4/35), type-1 neovascularization in 8.5% (n = 3/35), and geographic atrophy in 5.7% (n = 2/35) of eyes. The mean subfoveal choroidal thickness was 186.2 ± 57.8 µm. Conclusion: SDD commonly have a nodular morphology and their identification often requires confirmations with OCT. Advanced age-related macular degeneration features are frequently present in eyes with SDD and the fellow eyes.https://doi.org/10.18502/jovr.v16i2.9082subretinal drusenoid depositspseudodrusenmultimodal imagingoptical coherence tomographyage-related macular degeneration
spellingShingle Devesh Kumawat
Srikanta K. Padhy
Vinod Kumar
Clinical and Multimodal Imaging Features of Subretinal Drusenoid Deposits
Journal of Ophthalmic & Vision Research
subretinal drusenoid deposits
pseudodrusen
multimodal imaging
optical coherence tomography
age-related macular degeneration
title Clinical and Multimodal Imaging Features of Subretinal Drusenoid Deposits
title_full Clinical and Multimodal Imaging Features of Subretinal Drusenoid Deposits
title_fullStr Clinical and Multimodal Imaging Features of Subretinal Drusenoid Deposits
title_full_unstemmed Clinical and Multimodal Imaging Features of Subretinal Drusenoid Deposits
title_short Clinical and Multimodal Imaging Features of Subretinal Drusenoid Deposits
title_sort clinical and multimodal imaging features of subretinal drusenoid deposits
topic subretinal drusenoid deposits
pseudodrusen
multimodal imaging
optical coherence tomography
age-related macular degeneration
url https://doi.org/10.18502/jovr.v16i2.9082
work_keys_str_mv AT deveshkumawat clinicalandmultimodalimagingfeaturesofsubretinaldrusenoiddeposits
AT srikantakpadhy clinicalandmultimodalimagingfeaturesofsubretinaldrusenoiddeposits
AT vinodkumar clinicalandmultimodalimagingfeaturesofsubretinaldrusenoiddeposits