Unknown

Dataset Information

Three-Dimensional Choroidal Vessels Assessment in Fellow Eyes of Patients With Central Serous Chorioretinopathy.


ABSTRACT:

Purpose

To evaluate choroidal vasculature using a novel three-dimensional algorithm in fellow eyes of patients with unilateral chronic central serous chorioretinopathy (cCSC).

Methods

Patients with unilateral cCSC were retrospectively included. Automated choroidal segmentation was conducted using a deep-learning ResUNet model. Phansalkar thresholding was applied to binarize choroidal vasculature, and three-dimensional maps were created. Mean choroidal vessel diameter, intervessel distance, choroidal thickness, and choroidal vascularity index (CVI) were measured. Linear mixed models were used for statistical analysis.

Results

Thirty unilateral cCSC eyes, 22 fellow, and 26 controls were included. Both cCSC and fellow eyes exhibited significant higher mean choroidal vess

SUBMITTER: Valsecchi N 

PROVIDER: S-EPMC12422394 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature