Ability of corneal biomechanical metrics and anterior segment data in the differentiation of keratoconus and healthy corneas

Detalhes bibliográficos
Autor(a) principal: Fontes,Bruno Machado
Data de Publicação: 2010
Outros Autores: Ambrósio Junior,Renato, Jardim,Daniela, Velarde,Guillermo Coca, Nosé,Walton
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Arquivos brasileiros de oftalmologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-27492010000400006
Resumo: PURPOSE: To evaluate the sensitivity, specificity, and test accuracy of corneal biomechanical metrics and anterior segment data in differentiating keratoconus from healthy corneas. METHODS: Comparative case series. Patients with and without keratoconus (gender and age-matched) were submitted for complete eye examinations including corneal hysteresis (CH) and corneal resistance factor (CRF) as measured by the Ocular Response Analyzer and anterior segment data as gathered through Pentacam assessments. The anterior segment data measurement included average central keratometric readings (K-Ave), corneal astigmatism (CA), central corneal thickness (CCT), anterior chamber depth (AC depth) and corneal volume (CV). All parameters were assessed, compared and analyzed. A receiver operating characteristic (ROC) curve was used to identify the best cutoff point by which to maximize the sensitivity and specificity of discriminating keratoconus from normal corneas for each data category. RESULTS: Seventy seven eyes from forty three patients (24 male, 19 female) with keratoconus and eighty six eyes from forty three (24 male, 19 female) healthy controls were enrolled. ROC curve analysis showed poor overall predictive accuracy for all studied parameters in differentiating keratoconus from normal corneas. The highest sensitivity (79.2%) was obtained for both AC depth and CH (cutoff points 3.22 mm and 9.39 mmHg respectively). The best specificity (89.5%) and test accuracy (80.34%) were obtained for CA (cutoff point of 2.2 D). CONCLUSION: When considered together, studied parameters showed statistical differences between groups. However, when considered independently they presented low sensitivity, specificity and test accuracy in differentiating keratoconus from healthy corneas.
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spelling Ability of corneal biomechanical metrics and anterior segment data in the differentiation of keratoconus and healthy corneasCorneaCorneal diseasesCorneal topographyBiomechanicsKeratoconusPURPOSE: To evaluate the sensitivity, specificity, and test accuracy of corneal biomechanical metrics and anterior segment data in differentiating keratoconus from healthy corneas. METHODS: Comparative case series. Patients with and without keratoconus (gender and age-matched) were submitted for complete eye examinations including corneal hysteresis (CH) and corneal resistance factor (CRF) as measured by the Ocular Response Analyzer and anterior segment data as gathered through Pentacam assessments. The anterior segment data measurement included average central keratometric readings (K-Ave), corneal astigmatism (CA), central corneal thickness (CCT), anterior chamber depth (AC depth) and corneal volume (CV). All parameters were assessed, compared and analyzed. A receiver operating characteristic (ROC) curve was used to identify the best cutoff point by which to maximize the sensitivity and specificity of discriminating keratoconus from normal corneas for each data category. RESULTS: Seventy seven eyes from forty three patients (24 male, 19 female) with keratoconus and eighty six eyes from forty three (24 male, 19 female) healthy controls were enrolled. ROC curve analysis showed poor overall predictive accuracy for all studied parameters in differentiating keratoconus from normal corneas. The highest sensitivity (79.2%) was obtained for both AC depth and CH (cutoff points 3.22 mm and 9.39 mmHg respectively). The best specificity (89.5%) and test accuracy (80.34%) were obtained for CA (cutoff point of 2.2 D). CONCLUSION: When considered together, studied parameters showed statistical differences between groups. However, when considered independently they presented low sensitivity, specificity and test accuracy in differentiating keratoconus from healthy corneas.Conselho Brasileiro de Oftalmologia2010-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-27492010000400006Arquivos Brasileiros de Oftalmologia v.73 n.4 2010reponame:Arquivos brasileiros de oftalmologia (Online)instname:Conselho Brasileiro de Oftalmologia (CBO)instacron:CBO10.1590/S0004-27492010000400006info:eu-repo/semantics/openAccessFontes,Bruno MachadoAmbrósio Junior,RenatoJardim,DanielaVelarde,Guillermo CocaNosé,Waltoneng2010-10-04T00:00:00Zoai:scielo:S0004-27492010000400006Revistahttp://aboonline.org.br/https://old.scielo.br/oai/scielo-oai.phpaboonline@cbo.com.br||abo@cbo.com.br1678-29250004-2749opendoar:2010-10-04T00:00Arquivos brasileiros de oftalmologia (Online) - Conselho Brasileiro de Oftalmologia (CBO)false
dc.title.none.fl_str_mv Ability of corneal biomechanical metrics and anterior segment data in the differentiation of keratoconus and healthy corneas
title Ability of corneal biomechanical metrics and anterior segment data in the differentiation of keratoconus and healthy corneas
spellingShingle Ability of corneal biomechanical metrics and anterior segment data in the differentiation of keratoconus and healthy corneas
Fontes,Bruno Machado
Cornea
Corneal diseases
Corneal topography
Biomechanics
Keratoconus
title_short Ability of corneal biomechanical metrics and anterior segment data in the differentiation of keratoconus and healthy corneas
title_full Ability of corneal biomechanical metrics and anterior segment data in the differentiation of keratoconus and healthy corneas
title_fullStr Ability of corneal biomechanical metrics and anterior segment data in the differentiation of keratoconus and healthy corneas
title_full_unstemmed Ability of corneal biomechanical metrics and anterior segment data in the differentiation of keratoconus and healthy corneas
title_sort Ability of corneal biomechanical metrics and anterior segment data in the differentiation of keratoconus and healthy corneas
author Fontes,Bruno Machado
author_facet Fontes,Bruno Machado
Ambrósio Junior,Renato
Jardim,Daniela
Velarde,Guillermo Coca
Nosé,Walton
author_role author
author2 Ambrósio Junior,Renato
Jardim,Daniela
Velarde,Guillermo Coca
Nosé,Walton
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Fontes,Bruno Machado
Ambrósio Junior,Renato
Jardim,Daniela
Velarde,Guillermo Coca
Nosé,Walton
dc.subject.por.fl_str_mv Cornea
Corneal diseases
Corneal topography
Biomechanics
Keratoconus
topic Cornea
Corneal diseases
Corneal topography
Biomechanics
Keratoconus
description PURPOSE: To evaluate the sensitivity, specificity, and test accuracy of corneal biomechanical metrics and anterior segment data in differentiating keratoconus from healthy corneas. METHODS: Comparative case series. Patients with and without keratoconus (gender and age-matched) were submitted for complete eye examinations including corneal hysteresis (CH) and corneal resistance factor (CRF) as measured by the Ocular Response Analyzer and anterior segment data as gathered through Pentacam assessments. The anterior segment data measurement included average central keratometric readings (K-Ave), corneal astigmatism (CA), central corneal thickness (CCT), anterior chamber depth (AC depth) and corneal volume (CV). All parameters were assessed, compared and analyzed. A receiver operating characteristic (ROC) curve was used to identify the best cutoff point by which to maximize the sensitivity and specificity of discriminating keratoconus from normal corneas for each data category. RESULTS: Seventy seven eyes from forty three patients (24 male, 19 female) with keratoconus and eighty six eyes from forty three (24 male, 19 female) healthy controls were enrolled. ROC curve analysis showed poor overall predictive accuracy for all studied parameters in differentiating keratoconus from normal corneas. The highest sensitivity (79.2%) was obtained for both AC depth and CH (cutoff points 3.22 mm and 9.39 mmHg respectively). The best specificity (89.5%) and test accuracy (80.34%) were obtained for CA (cutoff point of 2.2 D). CONCLUSION: When considered together, studied parameters showed statistical differences between groups. However, when considered independently they presented low sensitivity, specificity and test accuracy in differentiating keratoconus from healthy corneas.
publishDate 2010
dc.date.none.fl_str_mv 2010-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-27492010000400006
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0004-27492010000400006
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Conselho Brasileiro de Oftalmologia
publisher.none.fl_str_mv Conselho Brasileiro de Oftalmologia
dc.source.none.fl_str_mv Arquivos Brasileiros de Oftalmologia v.73 n.4 2010
reponame:Arquivos brasileiros de oftalmologia (Online)
instname:Conselho Brasileiro de Oftalmologia (CBO)
instacron:CBO
instname_str Conselho Brasileiro de Oftalmologia (CBO)
instacron_str CBO
institution CBO
reponame_str Arquivos brasileiros de oftalmologia (Online)
collection Arquivos brasileiros de oftalmologia (Online)
repository.name.fl_str_mv Arquivos brasileiros de oftalmologia (Online) - Conselho Brasileiro de Oftalmologia (CBO)
repository.mail.fl_str_mv aboonline@cbo.com.br||abo@cbo.com.br
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