Validating DevCheck: a semi-automated computer algorithm for measuring foveal immaturity in premature infants
We developed DevCheck, a user-friendly Python algorithm for measuring foveal development from handheld SD-OCT. The tool demonstrated good to excellent agreement between graders and comparable results to a prior validated MATLAB program, except for outer retinal thickness at the parafovea. These findings support the feasibility of DevCheck for future research and clinical applications.
Authors
- Laura E. Grant
- Leona Ding (ORCID: https://orcid.org/0000-0002-6234-6109)
- Claire Park (ORCID: https://orcid.org/0000-0002-3616-5451)
- Ayesha Shariff
- Michelle Cabrera
- Thomas B. Gillette
- Jason J. Bunk
- Hyeshin Jeon
- Jeannette Y. Stallworth
Institutions
- Seattle Children's Hospital (US)
- University of Washington (US)
- Baylor Scott & White Health (US)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-12-31
- DOI
- https://doi.org/10.21037/qims-2025-1460
- Primary Topic
- Retinopathy of Prematurity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00