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Clinical and Multimodal Imaging Features of Subretinal Drusenoid Deposits.
Journal of Ophthalmic & Vision Research 2021 April
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.
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.
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