{"doi":"10.1167/tvst.13.10.8","title":"Characteristics of a Large Database of Healthy Eyes From Optometry Practices: Implications for a Real-World Reference Database","abstract":"Purpose: To compare an optical coherence tomography (OCT) real-world reference database (RW-RDB) of \"healthy\" eyes obtained from optometry practices to a commercial reference database (RDB). Methods: OCT scans from 6804 individuals 18 years and older were sampled from a larger database tested at 10 optometry practices involved in refractive and screening services. Employing a reading center method, OCT scans from both eyes of 4932 (4.9K) individuals were judged to be of acceptable quality with an absence of pathology. The 4.9K RW-RDB was compared to a commercial RDB with 398 eyes (398 RDB). Results: The means and distributions of global circumpapillary retinal nerve fiber layer (G-cpRNFL) and global ganglion cell layer (G-GCL) thickness, as well as five key anatomical parameters affecting cpRNFL thickness, were not significantly different for all but one parameter (fovea-to-disc distance) and one thickness metric (G-cpRNFL). In both cases, the difference amounted to less than 1.5%. By design, the number of 4.9K RW-RDB eyes 70 years and older (724, 14.7%) was greater than for the 398 RDB (40, 10.1%). The error bands on the 5% and 1% quantile regression lines (QRLs) were substantially narrower for the 4.9K RW-RDB. Conclusions: The 398 RDB and 4.9K RW-RDB have similar characteristics and appear to come from a similar population. However, the large size of the 4.9K RW-RDB leads to narrower error bands of the QRLs, which has the potential to increase accuracy. Translational Relevance: The larger RW-RDB offers the opportunity to better characterize healthy eyes for clinical diagnosis and clinical trials by furthering our understanding of the patterns of artifacts, exploring covariates, developing separate RW-RDBs, and/or improving AI models.","journal":"Translational Vision Science & Technology","year":2024,"id":449335,"datarank":0.26876392038420827,"base_score":1.791759469228055,"endowment":1.791759469228055,"self_citation_contribution":0.26876392038420827,"citation_network_contribution":0.0,"self_endowment_contribution":0.26876392038420827,"citer_contribution":0.0,"corpus_percentile":41.6,"corpus_rank":7490,"citation_count":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.9234,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":304781,"name":"Mary K Durbin","orcid":"0000-0001-6789-940X","position":1,"is_corresponding":false},{"id":921553,"name":"Sol La Bruna","orcid":"0000-0003-2421-6001","position":2,"is_corresponding":false},{"id":1065647,"name":"Chris Lee","orcid":"0000-0001-7020-2036","position":3,"is_corresponding":false},{"id":1269103,"name":"Yi Sing Hsiao","orcid":null,"position":4,"is_corresponding":false},{"id":370057,"name":"Nevin W. El-Nimri","orcid":null,"position":5,"is_corresponding":false},{"id":342308,"name":"Carlos Gustavo De Moraes","orcid":"0000-0002-5626-0894","position":6,"is_corresponding":false},{"id":385412,"name":"Emmanouil Tsamis","orcid":"0000-0001-7418-1033","position":7,"is_corresponding":false},{"id":921555,"name":"Donald C. Hood","orcid":"0000-0001-6717-4791","position":0,"is_corresponding":true}],"reference_count":26,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:02:16.291892Z","pmid":"39361315","pmcid":"PMC11451834","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}