Unknown

Dataset Information

0

Radial Peripapillary Capillary Plexus Sparing and Underlying Retinal Vascular Impairment in Intermediate Age-Related Macular Degeneration.


ABSTRACT:

Purpose

To examine location-specific retinal vascular changes in intermediate age-related macular degeneration (iAMD) using age-matched, high-density en face optical coherence tomography angiography (OCTA) cluster analysis.

Methods

En face OCTA images of the 6 × 6 mm macular area were retrospectively acquired from 60 iAMD eyes and 60 age-matched normal eyes and then subdivided into 126 × 126 (47.62 × 47.62 µm) grids within the superficial and deep vascular complex. Grid-wise vessel perfusion (VP) were compared between iAMD and normal eyes from the corresponding 10-yearly age cohort, forming difference plots. Difference plots were further separated by normative topographical map spatial clusters (C1-6), derived from normaldatabase eyes (n = 236, 20-81 years old).

Results

Overall difference plots showed decreased VP in the superficial (-12.19%) and deep vascular complex (-6.44%) of iAMD compared to normal eyes (P < 0.0001 both comparisons). Cluster-based difference plots highlighted nonuniform changes in the superficial vascular complex, with sparing of VP at the nasal macula (corresponding to the radial peripapillary capillary plexus) versus decreased VP toward the temporal macula and foveal avascular zone (FAZ) (C1-6 all comparisons P < 0.0001, except C1 vs. C2P > 0.99 and C4 vs. C5P = 0.11). The deep vascular complex displayed diffusely decreased VP, greater at the FAZ (P < 0.0001).

Conclusions

High-density en face OCTA cluster analysis suggests relative sparing of the radial peripapillary capillary plexus and impairment of underlying retinal vasculature, supporting potential anterograde transsynaptic degeneration in iAMD. These location-specific data may better guide future diagnostic and management protocol of iAMD.

SUBMITTER: Trinh M 

PROVIDER: S-EPMC8024775 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC7065970 | biostudies-literature
| S-EPMC4782823 | biostudies-other
| S-EPMC5567819 | biostudies-literature
| S-EPMC3640702 | biostudies-literature
2019-02-11 | GSE115828 | GEO
| S-EPMC4360733 | biostudies-other
2022-06-20 | E-MTAB-11642 | biostudies-arrayexpress
2004-09-02 | GSE1719 | GEO
| S-EPMC6314194 | biostudies-literature
| S-EPMC4816373 | biostudies-other