{"doi":"10.1080/02713683.2022.2081981","title":"Effect of OCT B-Scan Density on Sensitivity for Detection of Intraretinal Hyperreflective Foci in Eyes with Age-Related Macular Degeneration","abstract":"Purpose To evaluate the impact of reducing the density of B-scans in an optical coherence tomography (OCT) volume on the sensitivity for detecting intraretinal hyperreflective foci (IHRF) in eyes with intermediate age-related macular degeneration (AMD)Methods A total of 165 eyes with intermediate AMD and IHRF were evaluated in this retrospective analysis. For each case, Cirrus HD-OCT volumes were imported into the reading center 3 D-OCTOR software. The number of IHRF cases was assessed based on all 128 B-scans (spaced 47 μm apart), using a categorical scale (graded as 1–4, 5–9, 10–14, 15–19, and >20). Additionally, the B-scan densities in the volume were lowered to 64 B-scans (spaced 94 μm apart), 43 B-scans (spaced 140 μm apart), and 32 B-scans (spaced 188 μm apart). The number of eyes with any IHRF and the numerical category of IHRF in the eye were used to compare the sensitivity at each reduced B-scan density against the reference 128 B-scan volume.Results In the primary analysis for the qualitative presence or absence of any IHRF, the sensitivity decreased to 98.2% (p = .32) with 64 B-scans, 92.7% (p = .001) with 43 B-scans, and 75.2% (p = .001) with 32 B-scans, compared with the 128 B-scan reference. With regard to the number of IHRF per eye, there was a significant difference (with a lower level chosen on the scale) when the B-scan density was reduced to 43 or 32 B-scans (p = .002 and p < .001, respectively).Conclusion Increasing the inter-B-scan spacing from 47 to 188 microns significantly reduced the ability to accurately determine whether IHRF were present in an eye. An increase in inter-B-scan spacing to 140 microns was associated with a significant misclassification of the IHRF quantity. These findings may be relevant in the design of OCT scanning protocols for studies utilizing these biomarkers for AMD progression.","journal":"Current Eye Research","year":2022,"id":267585,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":7,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.6651,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":42344,"name":"Navid Manafi","orcid":"0000-0002-4610-402X","position":1,"is_corresponding":false},{"id":708012,"name":"Muneeswar Gupta Nittala","orcid":"0000-0002-3802-6594","position":2,"is_corresponding":false},{"id":708013,"name":"Swetha Bindu Velaga","orcid":"0000-0002-4637-6914","position":3,"is_corresponding":false},{"id":213780,"name":"Dwight Stambolian","orcid":null,"position":4,"is_corresponding":false},{"id":6903,"name":"Margaret A. Pericak‐Vance","orcid":"0000-0001-7283-8804","position":5,"is_corresponding":false},{"id":6896,"name":"Jonathan L. Haines","orcid":"0000-0002-4351-4728","position":6,"is_corresponding":false},{"id":263805,"name":"Srinivas R. Sadda","orcid":"0000-0002-4939-3306","position":7,"is_corresponding":false},{"id":928642,"name":"Deniz Oncel","orcid":"0000-0002-3855-7205","position":0,"is_corresponding":true}],"reference_count":24,"raw_metadata":null,"created_at":"2026-07-19T00:27:06.198948Z","pmid":"35603911","pmcid":null,"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":[]}