{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T17:58:35Z","timestamp":1782755915146,"version":"3.54.5"},"reference-count":27,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2021,11,23]],"date-time":"2021-11-23T00:00:00Z","timestamp":1637625600000},"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":[[2022,3]]},"abstract":"<jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To estimate the sensitivity and specificity of topographic and tomographic corneal parameters as determined by Sirius (CSO, Florence, Italy) in discriminating keratoconus (KC) and suspect keratoconus from normal cornea.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>In this retrospective case-series study, keratoconus screening indices were measured using Sirius tomographer. Receiver operating characteristics (ROC) curves were used to determine the test's overall predictive accuracy (area under the curve) and to identify optimal cut-off points to maximize sensitivity and specificity in differentiating keratoconus and suspect keratoconus from normal corneas.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Receiver operating characteristics (ROC) curve analyses showed high predictive accuracy for Symmetry Index back (SIb), Keratoconus Vertex front (KVf), Symmetry Index front (SIf), Keratoconus Vertex back (KVb), Apex Keratometry (Curve-Apex) and Minimum corneal Thickness (ThkMin) to distinguish keratoconus from normal (area under the curve &gt; 0.9, all). Symmetry Index back was identified as the best diagnostic parameter for detecting suspect keratoconus with AUC of 0.86. Highest specificity to detect keratoconus and suspect keratoconus was seen for SIb, 99.87% and 84.66%, respectively. These values were associated with optimal cut-off points of 0.46 D for keratoconus and 0.12 D for suspect keratoconus.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Sirius parameters evaluated in the study were effective to differentiate keratoconus from normal corneas. However, Symmetry Index back was the index with the highest ability to detect suspect keratoconus.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/11206721211060139","type":"journal-article","created":{"date-parts":[[2021,11,23]],"date-time":"2021-11-23T06:52:33Z","timestamp":1637650353000},"page":"790-797","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":19,"title":["Sensitivity and specificity of Sirius indices in diagnosis of keratoconus and suspect keratoconus"],"prefix":"10.1177","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1042-8153","authenticated-orcid":false,"given":"Abdelrahman","family":"Salman","sequence":"first","affiliation":[{"name":"Tartous Specialist Eye center, Tartous, Syrian Arab Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taym","family":"Darwish","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Tishreen University, Lattakia, Syrian Arab Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7584-1598","authenticated-orcid":false,"given":"Ali","family":"Ali","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Tishreen University, Lattakia, Syrian Arab Republic-"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marwan","family":"Ghabra","sequence":"additional","affiliation":[{"name":"Whipps Cross University Hospital, London, UK-"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Rafea Shaaban","sequence":"additional","affiliation":[{"name":"Tartous University, Tartous, Syrian Arab 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