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Diagnostic Validation of the Screening Corneal Objective Risk of Ectasia Analyzer Evaluated by Swept Source Optical Coherence Tomography for Keratoconus in an Asian Population.
Kim, Kookyoung; Koh, Kyungmin; Lee, Seongjun; Lee, Yongwoo.
Afiliación
  • Kim K; Nuri Eye Hospital, Daejeon 35233, Republic of Korea.
  • Koh K; Kim's Eye Hospital, Seoul 07301, Republic of Korea.
  • Lee S; Nuri Eye Hospital, Daejeon 35233, Republic of Korea.
  • Lee Y; Departement of Ophthalmology, Kangwon National University Hopsital, Kangwon National University School of Medicine, Chuncheon, Gangwon 24289, Republic of Korea.
Bioengineering (Basel) ; 10(11)2023 Nov 20.
Article en En | MEDLINE | ID: mdl-38002459
ABSTRACT
We aimed to investigate the diagnostic accuracy of Screening Corneal Objective Risk of Ectasia (SCORE) Analyzer software using ANTERION, a swept-source optical coherence tomography device, for keratoconus diagnosis in an Asian population. A total of 151 eyes of 151 patients were included in this retrospective study as follows 60, 45, and 46 keratoconus, keratoconus suspects, and normal control eyes, respectively. Parameters in the SCORE calculation, including six indices, were compared for the three groups. The receiver operating characteristic curve analysis and cut-off value were estimated to assess the diagnostic ability to differentiate keratoconus and keratoconus suspect eyes from the normal group. The SCORE value and six indices were significantly correlated-"AntK max" (R = 0.864), "AntK oppoK" (R = 0.866), "Ant inf supK" (R = 0.943), "Ant irre 3mm" (R = 0.741), "post elevation at the thinnest point" (R = 0.943), and "minimum corneal thickness" (R = -0.750). The SCORE value showed high explanatory power (98.1%), sensitivity of 81.9%, and specificity of 78.3% (cut-off value 0.25) in diagnosing normal eyes from the keratoconus suspect and keratoconus eyes. The SCORE Analyzer was found to be valid and consistent, showing good sensitivity and specificity for keratoconus detection in an Asian population.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Bioengineering (Basel) Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Bioengineering (Basel) Año: 2023 Tipo del documento: Article
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