June 2017
Volume 58, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2017
Normative dataset for retinal layers’ thickness maps automatically generated by spectral domain optical coherence tomography in a Caucasian population
Author Affiliations & Notes
  • Alessandra Acquistapace
    Department of Clinical Science, Sacco Hospital Eye Clinic, Milano, Italy
  • Alessandro Invernizzi
    Department of Clinical Science, Sacco Hospital Eye Clinic, Milano, Italy
    University of Sydney, Save Sight Institute, Sidney, New South Wales, Australia
  • Marco Pellegrini
    Department of Clinical Science, Sacco Hospital Eye Clinic, Milano, Italy
  • Eleonora Benatti
    University of Milan, Ophthalmological Unit, IRCCS-Cà Granda Foundation – Ospedale Maggiore Policlinico, Department of Clinical Sciences and Community Health, Milan, Italy
  • Stefano Erba
    Department of Clinical Science, Sacco Hospital Eye Clinic, Milano, Italy
  • Mariano Cozzi
    Department of Clinical Science, Sacco Hospital Eye Clinic, Milano, Italy
  • Mario V Cigada
    Department of Clinical Science, Sacco Hospital Eye Clinic, Milano, Italy
  • Francesco Viola
    University of Milan, Ophthalmological Unit, IRCCS-Cà Granda Foundation – Ospedale Maggiore Policlinico, Department of Clinical Sciences and Community Health, Milan, Italy
  • Giovanni Staurenghi
    Department of Clinical Science, Sacco Hospital Eye Clinic, Milano, Italy
  • Footnotes
    Commercial Relationships   Alessandra Acquistapace, None; Alessandro Invernizzi, Allergan (R); Marco Pellegrini, Optovue (R); Eleonora Benatti, None; Stefano Erba, None; Mariano Cozzi, Alcon (F), Bayer AG (F), Heidelberg Engeneering (F); Mario Cigada, None; Francesco Viola, Bayer (C), Novartis (C); Giovanni Staurenghi, Alcon (C), Alcon (R), Allergan (C), Bayer (C), Bayer (R), Boehringer Ingelheim (C), Genentech (C), Heidelberg Engineering (C), Heidelberg Engineering (R), Novartis (F), Novartis (C), Novartis (R), Ocular Instruments (P), Optos (C), Optovue (F), Roche (C), Zeiss (F), Zeiss (C)
  • Footnotes
    Support  none
Investigative Ophthalmology & Visual Science June 2017, Vol.58, 679. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to Subscribers Only
      Sign In or Create an Account ×
    • Get Citation

      Alessandra Acquistapace, Alessandro Invernizzi, Marco Pellegrini, Eleonora Benatti, Stefano Erba, Mariano Cozzi, Mario V Cigada, Francesco Viola, Giovanni Staurenghi; Normative dataset for retinal layers’ thickness maps automatically generated by spectral domain optical coherence tomography in a Caucasian population. Invest. Ophthalmol. Vis. Sci. 2017;58(8):679.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : To collect a dataset of normative ETDRS thickness maps values for each of the 7 retinal layers automatically generated by the Spectralis SD-OCT software (Heidelberg Engineering, Germany) in a healthy Caucasian population and to test the effect of age, sex and axial length (AXL) on such values.

Methods : 30x25 degrees volume scans centred on the fovea (61 b-scans, 120 mm inter-scan distance, 16 ART frames) were collected on healthy Caucasian subjects. Automatic segmentation of retinal layers was performed using the inbuilt software function. In one eye from each subject mean thickness values in the central subfield (C), inner ring (IR) and outer ring (OR) of the ETDRS grid were than calculated for each layer. A multivariate regression analysis was used to test the effect of age, sex and AXL on these values.

Results : 200 subjects (110 females) were enrolled. Mean age was 39.9±13.9 years (range 20-74). Mean AXL was 24.30±1.07 mm (range 22.23-27.14). Thickness values in the 3 main ETDRS subfield are reported for each retinal layer in Table 1. Nerve fiber layer thickness increased with age in the IR (p=0.006). Ganglion cells thickness was higher in males (p=0.009) in the IR and OR, it was also negatively correlated with AXL in the OR (p<0.0001) but positively correlated with the AXL in the C (p=0.001). Inner plexyform layer was thicker in males (p=0.0007) in the IR and thinner in longer eyes in the OR (p=0.0001). Inner Nuclear Layer was thicker in males in the C and IR (p<0.0001) and negatively correlated with age in the OR (p=0.008). Outer plexyform layer thickness didn’t change with age and gender but was positively correlated with AXL in the C (p=0.0004). Outer nuclear layer thickness was higher in males in all subfields (all p<0.0009) and decreased in with age in the OR (p=0.003). Retinal pigment epithelium increased in thickness with age (p=0.008) in the IR but wasn’t affected by sex or AXL in any of the subfields.

Conclusions : The thickness of each retinal layer in a large Caucasian population are provided. Age, sex and AXL have an influence on retinal layers thickness. The effect of these factors may vary according to the layer and the ETDRS subfield. Large datasets are needed to provide normative referring values.

This is an abstract that was submitted for the 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.

 

Thickness values in the 3 main ETDRS subfields and the effect of age, sex, axial length are reported for each retinal layer.

Thickness values in the 3 main ETDRS subfields and the effect of age, sex, axial length are reported for each retinal layer.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×