The disc damage likelihood scale: Diagnostic accuracy and correlations with cup-to-disc ratio, structural tests and standard automated perimetry
| Autor: | Ivan Maynart Tavares, Angelica T. N. H. Endo, Mauro T. Leite, Andrea C. Kara-José, Luiz Alberto S. Melo, Bruno L. B. Esporcatte |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Male
Eye Diseases genetic structures Optic disk Nerve fiber layer Glaucoma Scanning laser polarimetry lcsh:Medicine Cup-to-disc ratio Severity of Illness Index Diagnostic Radiology 0302 clinical medicine Nerve Fibers Animal Cells Medicine and Health Sciences lcsh:Science Tomography Mathematics Neurons Multidisciplinary medicine.diagnostic_test Radiology and Imaging Middle Aged Prognosis medicine.anatomical_structure Optical Equipment Scanning Laser Polarimetry Area Under Curve Engineering and Technology Female Anatomy Cellular Types Glaucoma Open-Angle Tomography Optical Coherence Optic disc Research Article medicine.medical_specialty Imaging Techniques Ocular Anatomy Optic Disk Equipment Research and Analysis Methods Optic Disc Retina 03 medical and health sciences Optical coherence tomography Ocular System Diagnostic Medicine Ophthalmology medicine Humans Aged Receiver operating characteristic Lasers lcsh:R Biology and Life Sciences Cell Biology medicine.disease eye diseases Cross-Sectional Studies ROC Curve Cellular Neuroscience 030221 ophthalmology & optometry Eyes Visual Field Tests lcsh:Q sense organs Head 030217 neurology & neurosurgery Neuroscience |
| Zdroj: | PLoS ONE, Vol 12, Iss 7, p e0181428 (2017) Repositório Institucional da UNIFESP Universidade Federal de São Paulo (UNIFESP) instacron:UNIFESP PLoS ONE |
| ISSN: | 1932-6203 |
| Popis: | CAPES/Ministry of Education of Brazil CNPq/Ministry of Science and Technology of Brazil Our objective was to compare the diagnostic accuracies of and to determine the correlations between the disc damage likelihood scale (DDLS) and anatomical and functional tests used for glaucoma detection. A total of 54 healthy subjects (54 eyes) and 47 primary open-angle glaucoma patients (47 eyes) were included in this cross-sectional observational study. DDLS scores and cup-to-disc (C/D) ratios were evaluated. Subjects underwent standard automated perimetry (SAP), optic disc and retinal nerve fiber layer (RNFL) imaging with time and spectral-domain optical coherence tomography (TD and SD-OCT), Heidelberg Retina Tomograph (HRT II), and scanning laser polarimetry (GDx-VCC). Areas under the receiver operating characteristic curves (AROCs) for DDLS and diagnostic tests parameters were calculated. DDLS correlations (Spearman's rank) among these parameters were analyzed. Fifty-four eyes were healthy and 47 had glaucoma, including 16 preperimetric glaucoma. DDLS, vertical and horizontal C/D ratios had the largest AROCs (0.92, 0.94 and 0.91, respectively). DDLS diagnostic accuracy was better than the accuracies of HRT II parameters, TD and SD-OCT RNFL thicknesses, and SAP mean deviation (MD) index. There were no significant differences between the accuracies of the DDLS and the C/D ratios, TD-OCT vertical (0.89) and horizontal (0.86) C/D ratios, TD-OCT C/D area ratio (0.89), and GDx-VCC NFI (0.81). DDLS showed significant strong correlations with vertical (r = 0.79) and horizontal (0.74) C/D ratios, and with the parameters vertical C/D ratio and C/D area ratio from HRT II (both 0.77) and TD-OCT (0.75 and 0.72, respectively). DDLS had significant moderate correlations with most of the other structural measurements and SAP MD. The optic disc clinical evaluation with DDLS system and C/D ratio demonstrated excellent accuracy in distinguishing glaucomatous from healthy eyes. DDLS had moderate to strong correlations with most structural and functional parameters. These findings stress the importance of optic disc clinical examination to detect glaucoma in a clinical scenario. Univ Fed Sao Paulo, Escola Paulista Med, Dept Ophthalmol & Visual Sci, Glaucoma Div, Sao Paulo, SP, Brazil Univ Fed Sao Paulo, Escola Paulista Med, Dept Ophthalmol & Visual Sci, Glaucoma Div, Sao Paulo, SP, Brazil CAPES CNPq Web of Science |
| Databáze: | OpenAIRE |
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