Mihoko Suzuki1, Taku Sato1, Richard F Spaide2. 1. Vitreous Retina Macula Consultants of New York; and the LuEsther T. Mertz Retinal Research Center, Manhattan Eye, Ear, and Throat Hospital, New York, New York. 2. Vitreous Retina Macula Consultants of New York; and the LuEsther T. Mertz Retinal Research Center, Manhattan Eye, Ear, and Throat Hospital, New York, New York. Electronic address: rick.spaide@gmail.com.
Abstract
PURPOSE: To subclassify pseudodrusen based on their appearance in multimodal imaging. DESIGN: Retrospective, observational series. METHODS: The color fundus photographs and infrared scanning laser ophthalmoscope (IR-SLO) images of patients with pseudodrusen were evaluated along with spectral-domain optical coherence tomography (SD OCT) by masked readers. Distinct types of pseudodrusen could be differentiated. RESULTS: There were 140 eyes of 93 patients with a mean age of 82.4 years. Multimodal imaging analysis showed 3 subtypes of pseudodrusen. One principal type was an orderly array of whitish discrete accumulations principally located in the perifovea, termed dot pseudodrusen. They appeared as hyporeflective spots, often with a target configuration, in IR-SLO images. The second type was interconnected bands of yellowish-white material forming a reticular pattern, called ribbon pseudodrusen, which were located in the perifovea. This subtype was faintly hyporeflective in IR-SLO imaging. Dot pseudodrusen were detected more commonly with IR-SLO imaging than in color photography (P = .014) and ribbon pseudodrusen were seen more frequently in color than in IR-SLO images (P < .001). An uncommon third type of pseudodrusen, yellow-white globules primarily located peripheral to the perifoveal region, appeared hyper-reflective in IR-SLO and were called peripheral pseudodrusen. All 3 types were seen as subretinal drusenoid deposits by SD OCT. CONCLUSION: Pseudodrusen may be classified into at least 3 categories, each with optimal methods of detection and only 1 that formed a reticular pattern. These findings suggest pseudodrusen could contain differing constituents and therefore may vary in conferred risk for progression to advanced age-related macular disease.
PURPOSE: To subclassify pseudodrusen based on their appearance in multimodal imaging. DESIGN: Retrospective, observational series. METHODS: The color fundus photographs and infrared scanning laser ophthalmoscope (IR-SLO) images of patients with pseudodrusen were evaluated along with spectral-domain optical coherence tomography (SD OCT) by masked readers. Distinct types of pseudodrusen could be differentiated. RESULTS: There were 140 eyes of 93 patients with a mean age of 82.4 years. Multimodal imaging analysis showed 3 subtypes of pseudodrusen. One principal type was an orderly array of whitish discrete accumulations principally located in the perifovea, termed dot pseudodrusen. They appeared as hyporeflective spots, often with a target configuration, in IR-SLO images. The second type was interconnected bands of yellowish-white material forming a reticular pattern, called ribbon pseudodrusen, which were located in the perifovea. This subtype was faintly hyporeflective in IR-SLO imaging. Dot pseudodrusen were detected more commonly with IR-SLO imaging than in color photography (P = .014) and ribbon pseudodrusen were seen more frequently in color than in IR-SLO images (P < .001). An uncommon third type of pseudodrusen, yellow-white globules primarily located peripheral to the perifoveal region, appeared hyper-reflective in IR-SLO and were called peripheral pseudodrusen. All 3 types were seen as subretinal drusenoid deposits by SD OCT. CONCLUSION: Pseudodrusen may be classified into at least 3 categories, each with optimal methods of detection and only 1 that formed a reticular pattern. These findings suggest pseudodrusen could contain differing constituents and therefore may vary in conferred risk for progression to advanced age-related macular disease.
Authors: Yuhua Zhang; Xiaolin Wang; Pooja Godara; Tianjiao Zhang; Mark E Clark; C Douglas Witherspoon; Richard F Spaide; Cynthia Owsley; Christine A Curcio Journal: Retina Date: 2018-01 Impact factor: 4.256
Authors: Anna V Zarubina; David C Neely; Mark E Clark; Carrie E Huisingh; Brian C Samuels; Yuhua Zhang; Gerald McGwin; Cynthia Owsley; Christine A Curcio Journal: Ophthalmology Date: 2016-02-10 Impact factor: 12.079
Authors: Craig Wilde; Ali Poostchi; Rajnikant L Mehta; Jonathan G Hillman; Hamish K MacNab; Marco Messina; Marco Morales; Stephen A Vernon; Winfried M Amoaku Journal: Eye (Lond) Date: 2018-03-01 Impact factor: 3.775