Assessment of retinal arteriolar tortuosity in patients with COL4A1 or COL4A2 mutations.

Purpose: Qualitative and quantitative analyzes of retinal arteriolar tortuosity (RAT) in patients with COL4A1 and COL4A2 mutations to identify a tortuosity index (TI) threshold for detecting increased RAT.

Methods: Fifty-two eyes of 28 patients were included. Group 1 included eyes with a normal arteriolar pattern (n=19, 37%), group 2 included eyes with moderately increased arteriolar tortuosity (n=13, 25%), and group 3 included eyes with typical abnormal arteriolar tortuosity (n=20, 38%).

Multilayer Retinal Correspondence of the Structural and Vascular Anomalies in Eyes With Early Macular Telangiectasia Type 2.

Purpose: To assess the correspondence between interdigitation zone (IZ) reflectivity, ellipsoid zone (EZ) loss, inner retinal layer reflectivity, patterns of capillary dilation, and telangiectasia in eyes with early macular telangiectasia type 2 (MacTel).

Patients And Methods: Twenty-eight eyes of 22 patients with grade 0-2 MacTel (according to the MacTel project classification) and 28 healthy control eyes were included in this study. Multimodal imaging, including optical coherence tomography (OCT) angiography, adaptive optics flood illumination ophthalmoscopy (AO-FIO) and blue light reflectance (BLR), was performed.

FROM OUTER RETINAL NEOVACULARIZATION TO EXUDATIVE SUBRETINAL NEOVASCULARIZATION IN MACULAR TELANGIECTASIA TYPE 2.

Purpose: To describe the progression from outer retinal neovascularization (ORNV) to exudative subretinal new vessels (SRNVs) in idiopathic macular telangiectasia type 2.

Methods: A total of 135 patients (270 eyes) imaged with optical coherence tomography angiography were included.

Main Outcome Measures: Ellipsoid zone loss, outer retinal hyperreflectivity, ORNV, and SRNVs.

Characterization of Retinal Arteries by Adaptive Optics Ophthalmoscopy Image Analysis.

Objective: This paper aims at quantifying biomarkers from the segmentation of retinal arteries in adaptive optics ophthalmoscopy images (AOO).

Methods: The segmentation is based on the combination of deep learning and knowledge-driven deformable models to achieve a precise segmentation of the vessel walls, with a specific attention to bifurcations. Biomarkers (junction coefficient, branching coefficient, wall to lumen ratio ( wlr)) are derived from the resulting segmentation.

Early remodeling and loss of light-induced dilation of retinal small arteries in CADASIL.

A major hurdle to therapeutic development in cerebral small vessel diseases is the lack of in-vivo method that can be used repeatedly for evaluating directly cerebral microvessels. We hypothesised that Adaptive Optics (AO), which allows resolution images up to 1-2 μm/pixel at retinal level, could provide a biomarker for monitoring vascular changes in CADASIL, a genetic form of such condition. In 98 patients and 35 healthy individuals, the wall to lumen ratio (WLR), outer and inner diameter, wall thickness and wall cross-sectional area were measured in a parapapillary and/or paramacular retinal artery.