Detection of Keratoconus With a New Biomechanical Index

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dc.citation.issue12
dc.citation.volume32
dc.contributor.authorVinciguerra, Riccardo
dc.contributor.authorAmbrósio Junior, Renato [UNIFESP]
dc.contributor.authorElsheikh, Ahmed
dc.contributor.authorRoberts, Cynthia J.
dc.contributor.authorLopes, Bernardo [UNIFESP]
dc.contributor.authorMorenghi, Emanuela
dc.contributor.authorAzzolini, Claudio
dc.contributor.authorVinciguerra, Paolo
dc.coverageThorofare
dc.date.accessioned2020-07-31T12:47:06Z
dc.date.available2020-07-31T12:47:06Z
dc.date.issued2016
dc.description.abstractPURPOSE: To evaluate the ability of a new combined biomechanical index called the Corvis Biomechanical Index (CBI) based on corneal thickness profile and deformation parameters to separate normal from keratoconic patients. METHODS: Six hundred fifty-eight patients (329 eyes in each database) were included in this multicenter retrospective study. Patients from two clinics located on different continents were selected to test the capability of the CBI to separate healthy and keratoconic eyes in more than one ethnic group using the Corvis ST (Oculus Optikgerate GmbH, Wetzlar, Germany). Logistic regression was employed to determine, based on Database 1 as the development dataset, the optimal combination of parameters to accurately separate normal from keratoconic eyes. The CBI was subsequently independently validated on Database 2. RESULTS: The CBI included several dynamic corneal response parameters: deformation amplitude ratio at 1 and 2 mm, applanation 1 velocity, standard deviation of deformation amplitude at highest concavity, Ambrosio's Relational Thickness to the horizontal profile, and a novel stiffness parameter. The receiver operating characteristic curve analysis of the training database showed an area under the curve of 0.983. With a cut-off value of 0.5, 98.2% of the cases were correctly classified with 100% specificity and 94.1% sensitivity. In the validation dataset, the same cut-off point correctly classified 98.8% of the cases with 98.4% specificity and 100% sensitivity. CONCLUSIONS: The CBI was shown to be highly sensitive and specific to separate healthy from keratoconic eyes. The presence of an external validation dataset confirms this finding and suggests the possible use of the CBI in everyday clinical practice to aid in the diagnosis of keratoconus.en
dc.description.affiliationUniv Insubria, Div Ophthalmol, Dept Surg Sci, Varese, Italy
dc.description.affiliationRio de Janeiro Corneal Tomog & Biomech Study Grp, Rio De Janeiro, Brazil
dc.description.affiliationUniv Fed Sao Paulo, Dept Ophthalmol, Sao Paulo, Brazil
dc.description.affiliationUniv Liverpool, Sch Engn, Liverpool, Merseyside, England
dc.description.affiliationMoorfields Eye Hosp NHS Fdn Trust, NIHR Biomed Res Ctr Ophthalmol, London, England
dc.description.affiliationUCL Inst Ophthalmol, London, England
dc.description.affiliationOhio State Univ, Dept Biomed Engn, Dept Ophthalmol & Visual Sci, Columbus, OH 43210 USA
dc.description.affiliationHumanitas Res Hosp, Biostat Unit, Milan, Italy
dc.description.affiliationHumanitas Clin & Res Ctr, Ctr Eye, Milan, Italy
dc.description.affiliationHumanitas Univ, Milan, Italy
dc.description.affiliationVincieye Clin, Milan, Italy
dc.description.affiliationUnifespDepartment of Ophthalmology, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
dc.description.sourceWeb of Science
dc.description.sponsorshipOculus Optikgerate GmbH
dc.format.extent803-810
dc.identifierhttp://dx.doi.org/10.3928/1081597X-20160629-01
dc.identifier.citationJournal Of Refractive Surgery. Thorofare, v. 32, n. 12, p. 803-810, 2016.
dc.identifier.doi10.3928/1081597X-20160629-01
dc.identifier.fileWOS000393129400002.pdf
dc.identifier.issn1081-597X
dc.identifier.urihttps://repositorio.unifesp.br/handle/11600/56588
dc.identifier.wosWOS:000393129400002
dc.language.isoeng
dc.publisherSlack Inc
dc.relation.ispartofJournal Of Refractive Surgery
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleDetection of Keratoconus With a New Biomechanical Indexen
dc.typeinfo:eu-repo/semantics/article
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