Glaucoma is a group of optic neuropathies characterized by a progressive degeneration of retina ganglion cells (RGCs) and their axons that precedes functional changes detected on the visual field. The macular ganglion cell complex (GCC), available in commercial Fourier-domain optical coherence tomography, allows the quantification of the innermost retinal layers that are potentially involved in the glaucomatous damage, including the retinal nerve fiber (RNFL), ganglion cell and inner plexiform layers. The average GCC thickness and its related parameters represent a reliable biomarker in detecting preperimetric glaucomatous damage. The most accurate GCC parameters are represented by average and inferior GCC thicknesses, and they can be associated with progressive visual field loss. Although the diagnostic accuracy increases with more severe glaucomatous damage and higher signal strength values, it is not affected by increasing axial length, resulting in a more accurate discrimination of glaucomatous damage in myopic eyes with respect to the traditional RNFL thickness. The analysis of the structure-function relationship revealed a good agreement between the loss in retinal sensitivity and GCC thickness. The use of a 10-2° visual field grid, adjusted for the anatomical RGCs displacement, describes more accurately the relationship between RGCs thickness and visual field sensitivity loss.

Ganglion cell complex analysis in glaucoma patients: what can it tell us? / Scuderi, G.; Fragiotta, S.; Scuderi, L.; Iodice, C. M.; Perdicchi, A.. - In: EYE AND BRAIN. - ISSN 1179-2744. - 12:(2020), pp. 33-44. [10.2147/EB.S226319]

Ganglion cell complex analysis in glaucoma patients: what can it tell us?

Scuderi G.
Primo
;
Fragiotta S.
Secondo
;
Scuderi L.;
2020

Abstract

Glaucoma is a group of optic neuropathies characterized by a progressive degeneration of retina ganglion cells (RGCs) and their axons that precedes functional changes detected on the visual field. The macular ganglion cell complex (GCC), available in commercial Fourier-domain optical coherence tomography, allows the quantification of the innermost retinal layers that are potentially involved in the glaucomatous damage, including the retinal nerve fiber (RNFL), ganglion cell and inner plexiform layers. The average GCC thickness and its related parameters represent a reliable biomarker in detecting preperimetric glaucomatous damage. The most accurate GCC parameters are represented by average and inferior GCC thicknesses, and they can be associated with progressive visual field loss. Although the diagnostic accuracy increases with more severe glaucomatous damage and higher signal strength values, it is not affected by increasing axial length, resulting in a more accurate discrimination of glaucomatous damage in myopic eyes with respect to the traditional RNFL thickness. The analysis of the structure-function relationship revealed a good agreement between the loss in retinal sensitivity and GCC thickness. The use of a 10-2° visual field grid, adjusted for the anatomical RGCs displacement, describes more accurately the relationship between RGCs thickness and visual field sensitivity loss.
2020
retinal ganglion cells; retinal nerve fiber layer; spectral-domain optical coherence tomography; standard automated perimetry
01 Pubblicazione su rivista::01g Articolo di rassegna (Review)
Ganglion cell complex analysis in glaucoma patients: what can it tell us? / Scuderi, G.; Fragiotta, S.; Scuderi, L.; Iodice, C. M.; Perdicchi, A.. - In: EYE AND BRAIN. - ISSN 1179-2744. - 12:(2020), pp. 33-44. [10.2147/EB.S226319]
File allegati a questo prodotto
File Dimensione Formato  
Scuderi_Ganglion Cell Complex_2020.pdf

accesso aperto

Note: https://www.dovepress.com/ganglion-cell-complex-analysis-in-glaucoma-patients-what-can-it-tell-u-peer-reviewed-article-EB
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 1.91 MB
Formato Adobe PDF
1.91 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1413724
Citazioni
  • ???jsp.display-item.citation.pmc??? 29
  • Scopus 56
  • ???jsp.display-item.citation.isi??? 48
social impact