Choroidal Thickness in Non-proliferative Diabetic Retinopathy vs Healthy Eyes using SS-OCT

Background The association between choroidal changes and diabetic retinopathy pathophysiology remains unclear. Objective We aimed to assess choroidal thickness (CT) in patients with Non-Proliferative Diabetic Retinopathy (NPDR) using swept-source optical coherence tomography (SS-OCT) and compare it with that of healthy individuals. Methods We included patients with NPDR (NPDR group) and healthy individuals (control group). All the enrolled eyes were examined using SS-OCT, and CT measurements were obtained within a 6×6 mm area centered on the macular fovea. The area was divided into three regions: the central foveal region (0–1 mm), inner ring (1–3 mm from the foveal center), and outer ring (3–6 mm from the foveal center). Furthermore, both the inner and outer rings were segmented into four quadrants (superior, inferior, nasal, and temporal). Results The mean CT in the central foveal region was higher in NPDR group than in control group (P < 0.001). The mean CT in the four quadrants in the inner ring was higher in NPDR group than in control group (superior: P = 0.023; inferior: P = 0.003; nasal: P = 0.001; temporal: P = 0.003). In the outer ring region, the mean CT in the inferior and nasal quadrants was higher in NPDR group than in control group (P = 0.037; P < 0.001). The mean CT in the superior and temporal quadrants in the outer ring was higher in the NPDR group, but the difference was not significant. Conclusion This study concludes that CT was greater in patients with NPDR than in healthy individuals.

Authors

Institutions

Publication Details

Journal
The Open Ophthalmology Journal
Published
2025-03-28
DOI
https://doi.org/10.2174/0118743641367379250327083650
Primary Topic
Retinal Diseases and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Choroidal Thickness in Non-proliferative Diabetic Retinopathy vs Healthy Eyes using SS-OCT

Bin Xu, Ji Pang, Dongmei Wang, Ting Xu et al.
The Open Ophthalmology Journal
Retinal Diseases and Treatments
article

Choroidal Thickness in Non-proliferative Diabetic Retinopathy vs Healthy Eyes using SS-OCT

Bin Xu, Ji Pang, Dongmei Wang, Ting Xu, Yu Zhou, Man Li, Jiaojiao Kou
article en

Abstract

Background The association between choroidal changes and diabetic retinopathy pathophysiology remains unclear. Objective We aimed to assess choroidal thickness (CT) in patients with Non-Proliferative Diabetic Retinopathy (NPDR) using swept-source optical coherence tomography (SS-OCT) and compare it with that of healthy individuals. Methods We included patients with NPDR (NPDR group) and healthy individuals (control group). All the enrolled eyes were examined using SS-OCT, and CT measurements were obtained within a 6×6 mm area centered on the macular fovea. The area was divided into three regions: the central foveal region (0–1 mm), inner ring (1–3 mm from the foveal center), and outer ring (3–6 mm from the foveal center). Furthermore, both the inner and outer rings were segmented into four quadrants (superior, inferior, nasal, and temporal). Results The mean CT in the central foveal region was higher in NPDR group than in control group (P < 0.001). The mean CT in the four quadrants in the inner ring was higher in NPDR group than in control group (superior: P = 0.023; inferior: P = 0.003; nasal: P = 0.001; temporal: P = 0.003). In the outer ring region, the mean CT in the inferior and nasal quadrants was higher in NPDR group than in control group (P = 0.037; P < 0.001). The mean CT in the superior and temporal quadrants in the outer ring was higher in the NPDR group, but the difference was not significant. Conclusion This study concludes that CT was greater in patients with NPDR than in healthy individuals.

The Open Ophthalmology JournalVol. 19(1)
Affiliated Hospital of Southwest Medical University (CN)
Openalex Percentile: Top 87%
Retinal Diseases and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.