Investigative Ophthalmology & Visual Science Cover Image for Volume 57, Issue 12
September 2016
Volume 57, Issue 12
Open Access
ARVO Annual Meeting Abstract  |   September 2016
Comparative Analysis: To assess the level of agreement between PRIMUS (ZEISS India) and CIRRUS (ZEISS Dublin CA) SD-OCT Normative Database limits.
Author Affiliations & Notes
  • KRUNALKUMAR RAMANBHAI PATEL
    CARIn, Carl Zeiss India, BANGALORE, KARNATAKA, India
  • Ganesh Babu T C
    CARIn, Carl Zeiss India, BANGALORE, KARNATAKA, India
  • Sribhargava Natesh
    Nethra Eye Hospital, BANGALORE, India
  • Footnotes
    Commercial Relationships   KRUNALKUMAR RAMANBHAI PATEL, Carl Zeiss India (E); Ganesh Babu T C, Carl Zeiss India (E); Sribhargava Natesh, Nethra Eye Hospital (F)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science September 2016, Vol.57, 4229. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      KRUNALKUMAR RAMANBHAI PATEL, Ganesh Babu T C, Sribhargava Natesh; Comparative Analysis: To assess the level of agreement between PRIMUS (ZEISS India) and CIRRUS (ZEISS Dublin CA) SD-OCT Normative Database limits.. Invest. Ophthalmol. Vis. Sci. 2016;57(12):4229.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : CIRRUS and PRIMUS are two distinct SD-OCT devices developed by Carl Zeiss Meditec Inc. Both devices are having normative database for quantitative comparison of patient data with normal representative population. PRIMUS normative limit is derived from CIRRUS by appropriate correction using regression analysis based on data obtained from an agreement analyses and repeatability & reproducibility assessment study. The purpose of this study is to assess the level of agreement (by Cohen’s kappa method) achieved on normative limits provided by PRIMUS & CIRRUS for Macula and ONH/RNFL measurement parameters obtained from normal, retinal disease & glaucoma subjects.

Methods : Macular scans were obtained from 46 normal subjects & 39 subjects with retinal disease whereas ONH/RNFL scans were obtained from 45 normal subjects & 43 subjects with glaucoma. All the subjects underwent scanning on both PRIMUS & CIRRUS and had 11 macular, 4 ONH and 3 RNFL measurement parameters obtained from both the devices.
The classification results for the measurement parameters; 11 Macular parameters – Cube Volume, Cube Average Thickness, ETDRS Subfields (Central, Inner Inferior, Inner Superior, Inner Nasal, Inner Temporal, Outer Inferior, Outer Superior, Outer Nasal, Outer Temporal); 4 ONH parameters – Rim Area, Average Cup to Disc Ratio, Vertical Cup to Disc Ratio , Cup Volume; 3 RNFL parameters – Average RNFL Thickness, Superior RNFL Thickness, Inferior RNFL Thickness; were generated using latest PRIMUS as well as CIRRUS software. The classifier provided the appropriate color code for each parameter according to the classification criteria. Cohen’s Kappa statistical test was used for the calculation of Percentage Agreement and Cohen’s Kappa Agreement Specificity.

Results : The Percentage Agreement specificity and Cohen’s Kappa Agreement specificity for each of the measurement parameters are presented in Table 1.

Conclusions : All the Macular, ONH and RNFL measurement parameters listed above had Percentage Agreement of >=83% and Cohen’s Kappa Agreement of >=64%. Based on the results of this study, it can be concluded that there is substantial level of agreement in normative limits between normative databases of PRIMUS & CIRRUS for the measurement parameters obtained from a given subject.

This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.

 

Table 1. Percentage Agreement and Cohen's Kappa Agreement for each measurement parameter

Table 1. Percentage Agreement and Cohen's Kappa Agreement for each measurement parameter

×
×

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.

×