{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T21:33:35Z","timestamp":1791236015160,"version":"4.1.0"},"reference-count":22,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T00:00:00Z","timestamp":1749600000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Ophthalmology"],"published-print":{"date-parts":[[2025,11]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To evaluate the variability in choriocapillaris (CC) blood flow measurements across different optical coherence tomography angiography (OCTA) systems.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A cross-sectional study with 13 healthy volunteers (10 females, 26 [24;27] years). Central 3\u2009\u00d7\u20093 mm OCTA were obtained using: HRA\u2009+\u2009OCT Spectralis, Heidelberg Engineering; DRI OCT Triton, Topcon (software versions IMAGEnet 6 1.36 and 1.38); Mocean 4000, Moptim; Avanti RTVue-XR, Optovue; Solix, Optovue; Revo NX130, Optopol Technology. CC flow parameters (flow deficit (FD) number, FD density, and mean FD area) were analysed using the Phansalkar method. Binarization windows and FD thresholds were calculated individually for each device.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      OCTA images exhibited significant variability in FD number (F(6, 85)\u2009=\u20098.062,\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009&lt;\u20090.001), FD density (F(6, 99)\u2009=\u20093.957,\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009=\u20090.028), and mean FD area (F(6, 99)\u2009=\u200958.936,\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009&lt;\u20090.001). Strong correlation was found only between Avanti and DRI OCT Triton (ver. 1.38) for FD number (\n                      <jats:italic toggle=\"yes\">r<\/jats:italic>\n                      \u2009=\u20090.955,\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009=\u20090.017) and FD density (\n                      <jats:italic toggle=\"yes\">r<\/jats:italic>\n                      \u2009=\u20090.912,\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009=\u20090.033). ICC demonstrated poor agreement among devices.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Significant differences in CC visualization across devices highlight OCTA limitations. Device-specific algorithms are needed to ensure accurate CC evaluation, and quantitative assessments should be interpreted with caution in clinical and research settings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/11206721251347814","type":"journal-article","created":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T03:38:34Z","timestamp":1749613114000},"page":"2204-2212","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Comparative analysis of choriocapillaris visualization across various optical coherence tomography systems"],"prefix":"10.1177","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7928-5410","authenticated-orcid":false,"given":"Nataliya","family":"Semenova","sequence":"first","affiliation":[{"name":"Lomonosov Moscow State University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5121-803X","authenticated-orcid":false,"given":"Anna","family":"Stulova","sequence":"additional","affiliation":[{"name":"Lomonosov Moscow State University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0481-3642","authenticated-orcid":false,"given":"Vladimir","family":"Akopyan","sequence":"additional","affiliation":[{"name":"Lomonosov Moscow State University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,6,11]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.preteyeres.2021.100997"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1080\/08820538.2022.2109939"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10792-019-01182-w"},{"key":"e_1_3_2_5_2","article-title":"Assessment of inter-device agreement in quantifying choriocapillaris flow deficits in normal eyes","volume":"64","author":"Gnanaraj R","year":"2023","unstructured":"Gnanaraj R, Corradetti G, Kadomoto S, et al. 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