Diabetic retino-choroidopathy: Automated morpho-functional assessment

Session Details

Session Title: Free Paper Session 2: Vascular Diseases & Diabetic Retinopathy I

Session Date/Time: Thursday 07/09/2017 | 09:00-10:30

Paper Time: 10:00

Venue: Room 117

First Author: : M.Lupidi ITALY

Co Author(s): :    T. Fiore   F. Coscas   C. Cagini   G. Coscas                    

Abstract Details

Purpose:

To perform a fully automated quantitative assessment of retinal and choroidal microvasculature in eyes with diabetic maculopathy (DM) using optical coherence tomography angiography (OCT-A) and to identify potential compensatory mechanisms secondary to focal vascular impairment.

Setting:

Department of Biomedical and Surgical Sciences, Section of Ophthalmology, University of Perugia, Perugia, Italy; Centre Ophtalmologique de l’Odéon, Paris, France

Methods:

Retrospective case series of 48 eyes of 48 patients with DM (19 females, mean age 66.2 ± 9.4 years) and 47 eyes of 47 age-matched controls evaluated by Spectralis HRA-OCT2 (Heidelberg Engineering, Heidelberg, Germany). The Full-spectrum probabilistic-decorrelation angiography (FS-PDA) generated optical coherence tomography angiograms of the superficial (SCP) and deep (DCP) capillary plexuses and of the choriocapillaris (CC) layer. A fully automated micro-structural analysis, obtained by a custom built software (AngiOCTool+™) provided data on FAZ surface and SCP, DCP or CC vessel density. A comparative analysis between different vascular layers was performed; the obtained data were also compared with those of healthy subjects.

Results:

A statistically significant difference (p<0.05) in FAZ surface values was shown between the SCP and DCP both in diabetic and healthy subjects, while no differences were reported for vascular densities. A negative linear correlation in terms of vessel density was reported between CC and both SCP and DCP in diabetic patients (Spearman’s coefficient of rank correlation); at the reverse a positive linear correlation between the same parameters was noticed in healthy subjects. Capillary density values were significantly lower (p<0.05) in all retinal vascular layers and choriocapillaris of DM patients compared with healthy subjects.

Conclusions:

A fully automated quantitative OCT-A approach is a useful imaging system for detecting diabetic-induced focal vascular impairment both in retinal and choroidal layers. Retinal and choroidal vascular networks, although distinct entities, seem functionally interconnected: varying the degree of perfusion may be a mutual compensatory mechanism in response to an ischaemic injury.

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