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Characterization, structural analysis, evolution of AMD drusenoid deposits ‘L’, Lipid type and ‘P’, Protein‐cellular type, with multimodal imaging and morphology‐structural software
Author(s) -
Gonzalez C.
Publication year - 2016
Publication title -
acta ophthalmologica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.534
H-Index - 87
eISSN - 1755-3768
pISSN - 1755-375X
DOI - 10.1111/j.1755-3768.2016.0314
Subject(s) - drusen , geology , retinal , medicine , ophthalmology
Purpose To study AMD drusenoid deposits ‘L'and ‘P’ with multimodal imaging and morphology‐structural software, see the input of this technique, software on their knowledge, etiopathogeny Methods 284 eyes of 142 patients, 44 men, 98 women, with AMD drusenoid deposits ‘L’, Lipid Type (soft Drusen, Drusenoid PED ‘L’) and ‘P’, Protein‐cellular type (Pseudovitellifom AMD, Cuticular drusen, Subretinal drusenoid deposits (SDD),Drusenoid PED, ‘P’).Deposits were evaluated by Autofluorescence, IR imaging, OCT, OCT en Face (Spectralis HRA‐OCT),Morphology‐Structural software (M‐S software); Size, characteristics, number, topography of ‘L’, ‘P’ deposits, their environment above and below too;ETDRS visual acuity (VA),complete ophthalmic examination, Fundus exam added. M‐S software let analyze drusenoid deposit volume and contours, 3D deposit reconstruction, let volume, density (deposits grey levels),structure (structural measures, texture parameters),composition (density calculation) evaluation and characterization of ‘L’ and ‘P’ type deposits Results AMD Drusenoid Deposits: ‘L’ are roughly uniform, dome‐shaped, dark grey, translucent, equal and the same in all cross‐section, fatty, under the Retinal Pigment epithelium (RPE),abnormal RPE above, but layer quite preserved, evolution to atrophy; ‘P’ are dense, white, heterogeneous PED, below RPE, granular, as Protein, cellular component, different in all cross‐sections, abnormal RPE above, heavily unstructured, layer interrupted, cells disappeared, evolution to neovascularization. M‐S software allows selective drusenoid deposits characterization, differentiation: ‘L’ type, lipid components, ‘P’ type, protein composition, so entities determination, so get morphologic, structural Biomarkers Conclusions Multimodal Imaging, Morphology‐Structural Software contribute to and improve AMD Drusenoid deposits ‘L’, ‘P’, knowledge, identity, so, let define AMD biomarkers and better understand etiopathogeny.