Validation of tablet-based evaluation of color fundus images

Mark Christopher, Daniela C. Moga, Stephen R. Russell, James C. Folk, Todd Scheetz, Michael D. Abràmoff

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Purpose: To compare diabetic retinopathy (DR) referral recommendations made by viewing fundus images using a tablet computer with those made using a standard desktop display. Methods: A tablet computer (iPad) and a desktop computer with a high-definition color display were compared. For each platform, 2 retinal specialists independently rated 1,200 color fundus images from patients at risk for DR using an annotation program Truthseeker. The specialists determined whether each image had referable DR and also how urgently each patient should be referred for medical examination. Graders viewed and rated the randomly presented images independently and were masked to their ratings on the alternative platform. Tablet-based and desktop display-based referral ratings were compared using cross-platform intraobserver kappa as the primary outcome measure. Additionally, interobserver kappa, sensitivity, specificity, and area under the receiver operating characteristic were determined. Results: A high level of cross-platform intraobserver agreement was found for the DR referral ratings between the platforms (κ = 0.778) and for the 2 graders (κ = 0.812). Interobserver agreement was similar for the 2 platforms (κ = 0.544 and κ = 0.625 for tablet and desktop, respectively). The tablet-based ratings achieved a sensitivity of 0.848, a specificity of 0.987, and an area under the receiver operating characteristic of 0.950 compared with desktop display-based ratings. Conclusion: In this pilot study, tablet-based rating of color fundus images for subjects at risk for DR was consistent with desktop display-based rating. These results indicate that tablet computers can be reliably used for clinical evaluation of fundus images for DR.

Original languageEnglish
Pages (from-to)1629-1635
Number of pages7
JournalRetina
Volume32
Issue number8
DOIs
StatePublished - Sep 2012

Keywords

  • diabetic retinopathy
  • fundus images
  • iPad
  • tablet computers

ASJC Scopus subject areas

  • Ophthalmology

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