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Can I read MultiColor imaging to detect different subtypes of retinal microaneurysms in diabetic retinopathy on EtoBox?

MultiColor imaging to detect different subtypes of retinal microaneurysms in diabetic retinopathy by Alessandro Arrigo; Michel Teussink; Emanuela Aragona; Francesco Bandello; Maurizio Battaglia Parodi is a Medicine article available to read on EtoBox.

What is MultiColor imaging to detect different subtypes of retinal microaneurysms in diabetic retinopathy about?

## Background: Retinal microaneurysms (mas) are among the earliest signs of diabetic retinopathy (dr) and are typically detected by fluorescein angiography (fa). confocal multicolor is a noninvasive-imaging technique able to analyze different retinal features by capturing three simultaneous reflectance images. the main aim of the present study was to characterize morphological features of mas by means of multicolor images and to compare these with spectral domain optical coherence tomography (sd-oct) and fa findings. ## Methods: A cross-sectional, observational study setting was chosen. multimodal imaging included multicolor, sd-oct and fa images. we performed a qualitative analysis in order to assess the relationship between multicolor and its green- and red-reflectance components, sd-oct (hyperreflective, hyporeflective and mixed reflectivity) and fa findings. mas detected on our multicolor images were then categorized in accordance with a previously published histological classification. ## Results: In our study fa images were used to detect 153 mas in 30 eyes displaying dr. multicolor was able to distinguish 122 mas (80%). we identified green (16%), red (19%), and mixed (65%) m

Who reads MultiColor imaging to detect different subtypes of retinal microaneurysms in diabetic retinopathy?

It is typically read by researchers, students, and practitioners in Medicine.

Author
Alessandro Arrigo; Michel Teussink; Emanuela Aragona; Francesco Bandello; Maurizio Battaglia Parodi
Publisher
Nature Publishing Group; Springer Science and Business Media LLC (ISSN 0950-222X)
Published
2020
Language
EN
Field
Medicine (Health Sciences)