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dc.contributor.authorVentura, Bruna V.
dc.contributor.authorMachado, Aydano P.
dc.contributor.authorAmbrosio, Renato [UNIFESP]
dc.contributor.authorRibeiro, Guilherme
dc.contributor.authorAraujo, Luana N.
dc.contributor.authorLuz, Allan [UNIFESP]
dc.contributor.authorLyra, Joao Marcelo
dc.date.accessioned2016-01-24T14:34:24Z
dc.date.available2016-01-24T14:34:24Z
dc.date.issued2013-09-01
dc.identifierhttp://dx.doi.org/10.3928/1081597X-20130819-05
dc.identifier.citationJournal of Refractive Surgery. Thorofare: Slack Inc, v. 29, n. 9, p. 637-+, 2013.
dc.identifier.issn1081-597X
dc.identifier.urihttp://repositorio.unifesp.br/handle/11600/36740
dc.description.abstractPURPOSE: To evaluate the Ocular Response Analyzer (ORA; Reichert Ophthalmic Instruments, Depew, NY) performance in differentiating grades I and II keratoconus from normal corneas using 41 parameters individually and to assess the effect of analyzing all parameters together.METHODS: This study compared the mean value of 41 ORA parameters in grades I and II keratoconus with healthy age-matched control eyes. Only eyes with a central corneal thickness between 500 and 600 mu m were included. the area under the receiver operating characteristic curve was calculated for each of the 41 parameters independently and for all of the parameters together.RESULTS: This study included 136 eyes with normal corneas and 68 eyes with grades I and II keratoconus. When analyzed individually, four ORA parameters (p1area, p1area1, p2area, and p2area1) had an area under the curve greater than 0.900 for discriminating between both groups. the p2area was the parameter that achieved the largest area under the curve individually (0.931). the area under the curve increased to 0.978 when analyzing all parameters together.CONCLUSION: Alternative ORA parameters are better for differentiating grades I and II keratoconus from normal corneas than the four parameters originally available for ophthalmologists (corneal hysteresis, Goldmann-correlated intraocular pressure, corneal-compensated intraocular pressure, and corneal resistance factor). Although the ORA did not achieve 100% accuracy, the discrimination between these two groups was optimized by combining all parameters.en
dc.format.extent637-+
dc.language.isoeng
dc.publisherSlack Inc
dc.relation.ispartofJournal of Refractive Surgery
dc.rightsAcesso restrito
dc.titleAnalysis of Waveform-Derived ORA Parameters in Early Forms of Keratoconus and Normal Corneasen
dc.typeArtigo
dc.contributor.institutionBrazilian Study Grp Artificial Intelligence & Cor
dc.contributor.institutionAltino Ventura Fdn
dc.contributor.institutionUniv Fed Alagoas
dc.contributor.institutionInst Olhos Renato Ambrosio
dc.contributor.institutionUniversidade Federal de São Paulo (UNIFESP)
dc.contributor.institutionUniv Ciencias Saude Alagoas
dc.description.affiliationBrazilian Study Grp Artificial Intelligence & Cor, Rio de Janeiro, Brazil
dc.description.affiliationAltino Ventura Fdn, Recife, PE, Brazil
dc.description.affiliationUniv Fed Alagoas, Maceio, Brazil
dc.description.affiliationInst Olhos Renato Ambrosio, Rio de Janeiro, Brazil
dc.description.affiliationUniversidade Federal de São Paulo, São Paulo, Brazil
dc.description.affiliationUniv Ciencias Saude Alagoas, Maceio, Brazil
dc.description.affiliationUnifespUniversidade Federal de São Paulo, EPM, São Paulo, Brazil
dc.identifier.doi10.3928/1081597X-20130819-05
dc.description.sourceWeb of Science
dc.identifier.wosWOS:000327313500009


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