Ontology highlight
ABSTRACT: Purpose
To evaluate the performance of an automated choroid segmentation algorithm in optical coherence tomography (OCT) data using a longitudinal kidney donor and recipient cohort.Methods
We assessed 22 donors and 23 patients requiring renal transplantation over up to 1 year posttransplant. We measured choroidal thickness (CT) and area and compared our automated CT measurements to manual ones at the same locations. We estimated associations between choroidal measurements and markers of renal function (estimated glomerular filtration rate [eGFR], serum creatinine, and urea) using correlation and linear mixed-effects (LME) modeling.Results
There was good agreement between manual and automated CT. Automated measures were more precise because of smaller measurement err
SUBMITTER: Burke J
PROVIDER: S-EPMC10668611 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature