Evaluation of an automated choroid segmentation algorithm in a longitudinal kidney donor and recipient cohort

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 post-transplant. We...

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Bibliographic Details
Published in:arXiv.org 2023-08
Main Authors: Burke, Jamie, Pugh, Dan, Farrah, Tariq, Hamid, Charlene, Godden, Emily, MacGillivray, Tom, Dhaun, Neeraj, Baillie, J Kenneth, King, Stuart, MacCormick, Ian J C
Format: Article
Language:English
Subjects:
Algorithms
Automation
Correlation analysis
Creatinine
Error analysis
Error reduction
Image enhancement
Image segmentation
Kidney diseases
Longitudinal studies
Optical Coherence Tomography
Performance evaluation
Renal function
Ureas
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Summary: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 post-transplant. 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) modelling. Results: There was good agreement between manual and automated CT. Automated measures were more precise because of smaller measurement error over time. External adjudication of major discrepancies were in favour of automated measures. Significant differences were observed in the choroid pre- and post-transplant in both cohorts, and LME modelling revealed significant linear associations observed between choroidal measures and renal function in recipients. Significant associations were mostly stronger with automated CT (eGFR P
ISSN:2331-8422