The Estimates of Retinal Ganglion Cell Counts Performed Better than Isolated Structure and Functional Tests for Glaucoma Diagnosis
Arquivos
Data
2017
Autores
Esporcatte, Bruno L. B. 
Kara-Jose, Andrea C.
Melo, Luiz Alberto S., Jr.
Pinto, Luciano M.
Tavares, Ivan M.
Tipo
Artigo
Título da Revista
ISSN da Revista
Título de Volume
Resumo
Purpose. To evaluate the diagnostic accuracy of retinal ganglion cell (RGC) counts as estimated by combining data from standard automated perimetry (SAP) and spectral domain optical coherence tomography (SD-OCT). Methods. Healthy individuals and glaucoma patients were included in this cross-sectional study. All eyes underwent 24-2 SITA SAP and structural imaging tests. RGC count estimates were obtained using a previously described algorithm, which combines estimates of RGC numbers from SAP sensitivity thresholds and SD-OCT retinal nerve fiber layer (RNFL) average thickness. Results. A total of 119 eyes were evaluated, including 75 eyes of 48 healthy individuals and 44 eyes of 29 glaucoma patients. RGC count estimates performed better than data derived from SD-OCT RNFL average thickness or SAP mean deviation alone (area under ROC curves: 0.98, 0.92, and 0.79
P < 0 001) for discriminating healthy from glaucomatous eyes, even in a subgroup of eyes with mild disease (0.97, 0.88, and 0.75
P < 0 001). There was a strong and significant correlation between estimates of RGC numbers derived from SAP and SD-OCT (R-2 = 0 74
P < 0 001). Conclusion. RGC count estimates obtained by combined structural and functional data showed excellent diagnostic accuracy for discriminating the healthy from the glaucomatous eyes and performed better than isolated structural and functional parameters.
P < 0 001) for discriminating healthy from glaucomatous eyes, even in a subgroup of eyes with mild disease (0.97, 0.88, and 0.75
P < 0 001). There was a strong and significant correlation between estimates of RGC numbers derived from SAP and SD-OCT (R-2 = 0 74
P < 0 001). Conclusion. RGC count estimates obtained by combined structural and functional data showed excellent diagnostic accuracy for discriminating the healthy from the glaucomatous eyes and performed better than isolated structural and functional parameters.
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Citação
Journal Of Ophthalmology. London, v. , p. -, 2017.