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

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 com...

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Detalles Bibliográficos
Autores: Fontes, Bruno Machado [UNIFESP], Ambrósio Junior, Renato, Jardim, Daniela, Velarde, Guillermo Coca, Nosé, Walton [UNIFESP]
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2010
País:Brasil
Institución:Universidade Federal de São Paulo (UNIFESP)
Repositorio:Repositório Institucional da UNIFESP
Idioma:inglés
OAI Identifier:oai:repositorio.unifesp.br:11600/5859
Acceso en línea:http://dx.doi.org/10.1590/S0004-27492010000400006
http://repositorio.unifesp.br/handle/11600/5859
Access Level:acceso abierto
Palabra clave:Cornea
Corneal diseases
Corneal topography
Biomechanics
Keratoconus
Córnea
Doenças da córnea
Topografia da córnea
Biomecânica
Ceratocone
Descripción
Sumario: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.