June 2015
Volume 56, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2015
Layer by Layer Automated Retinal Segmentationwith SD-OCT in the Macula of Normal and Glaucomatous Eyes
Author Affiliations & Notes
  • Marta Pazos
    Ophthalmology, Hospital de l'Esperança-Parc de Salut Mar, Barcelona, Spain
    Institut de la Macula i la Retina, Centre mèdic Quirón-Teknon, Barcelona, Spain
  • Agnieszka Anna Dyrda
    Ophthalmology, Hospital de l'Esperança-Parc de Salut Mar, Barcelona, Spain
    Institut Català de la Retina., Barcelona, Spain
  • Alicia Gómez
    Institut Català de la Retina., Barcelona, Spain
  • Carlos Martín
    Institut Català de la Retina., Barcelona, Spain
  • Alfonso Anton-Lopez
    Ophthalmology, Hospital de l'Esperança-Parc de Salut Mar, Barcelona, Spain
    Institut Català de la Retina., Barcelona, Spain
  • Footnotes
    Commercial Relationships Marta Pazos, Heidelberg Engineering (R); Agnieszka Dyrda, None; Alicia Gómez, None; Carlos Martín, None; Alfonso Anton-Lopez, Heidelberg Engineering (F)
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2015, Vol.56, 4525. doi:
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      Marta Pazos, Agnieszka Anna Dyrda, Alicia Gómez, Carlos Martín, Alfonso Anton-Lopez; Layer by Layer Automated Retinal Segmentationwith SD-OCT in the Macula of Normal and Glaucomatous Eyes. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):4525.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract
 
Purpose
 

To evaluate thickness of the different retinal layers in the macular area in normal and glaucomatous eyes using the automated layer by layer retinal segmentation software of SPECTRALIS Spectral-Domain Optical Coherence Tomograph (SD-OCT).

 
Methods
 

Sixty-four eyes (24 normal, 20 mild glaucoma and 20 moderate glaucoma) were prospectively studied. Complete ophthalmological examination was done, including reliable 24-2 Humphrey Visual Field (HFV), Intraocular Pressure (IOP), optic disc evaluation by glaucoma specialists and a good quality (Q≥20) SPECTRALIS posterior pole imaging with the automated retinal layers segmentation software (figure 1). Inclusion criteria for the normal group: IOP≤ 21 mmHg, normal optic disc appearance and normal HVF. For glaucoma: IOP>21 mmHg with glaucomatous optic disc. HVF Mean Deviation (MD) was used for glaucoma classification (mild: MD<-6Db; moderate: MD≥-6dB). A thickness map of 9 regions using the ETDRS circle (1-3-4 mm rings centered on the fovea) was obtained for each layer/group of layers including Retinal Nerve Fiber Layer (RNFL), Ganglion cell complex (GCCx) and Ganglion Cell layer (GCL). Differences among groups were assessed with ANOVA at p<0.01.

 
Results
 

RNFL volume was 0.99±0.1 mm3 for the normal group, 0.84±0.1 mm3 for the mild, and 0.76±0.1 mm3 for the moderate glaucoma, and inferior quadrants showed the highest thickness difference (42±5, 32.4±8 and 24.9±4.6 µm, respectively)(p<0.001). GCCx volumes were 2.11±0.2, 1.74±0.2 and 1.54±0.2 mm3 for the normal, mild and moderate glaucoma, respectively (p<0.001). Both for GCCx and GCL, 8 regions in the mild glaucoma group (except the central area) and all 9 regions studied in the moderate glaucoma group, showed a significant thickness reduction when compared to normal eyes; when comparing mild vs moderate glaucoma, significant thinning was found in the inferior and temporal quadrants (see figure 2 for GCL quantitative results).

 
Conclusions
 

1. The Automated segmentation of the SD-OCT Spectralis allows visualization and quantification of the different retinal layers in the macula including isolated GCL (without Inner Plexiform Layer).<br /> 2. This segmentation showed significant thinning of RNFL, GCCx and GCL in glaucomatous eyes when compared to normal eyes.<br /> 3. GCCx and GCL thickness were found to be significantly thinner in the temporal and inferior areas of moderate glaucoma when compared to mild glaucoma.  

 

 
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