American Journal of Ophthalmology
Volume 153, Issue 3 , Pages 544-551.e2, March 2012

Evaluation of Vascular Disease Progression in Retinopathy of Prematurity Using Static and Dynamic Retinal Images

  • Jane S. Myung

      Affiliations

    • Department of Ophthalmology, Weill-Cornell Medical College, New York, New York
  • ,
  • Rony Gelman

      Affiliations

    • Department of Ophthalmology, Columbia University College of Physicians and Surgeons, New York, New York
  • ,
  • Grant D. Aaker

      Affiliations

    • Department of Ophthalmology, Weill-Cornell Medical College, New York, New York
  • ,
  • Nathan M. Radcliffe

      Affiliations

    • Department of Ophthalmology, Weill-Cornell Medical College, New York, New York
  • ,
  • R.V. Paul Chan

      Affiliations

    • Department of Ophthalmology, Weill-Cornell Medical College, New York, New York
  • ,
  • Michael F. Chiang

      Affiliations

    • Department of Ophthalmology, Columbia University College of Physicians and Surgeons, New York, New York
    • Department of Biomedical Informatics, Columbia University College of Physicians and Surgeons, New York, New York
    • Corresponding Author InformationInquiries to Michael F. Chiang, Casey Eye Institute, Oregon Health and Science University, 3375 SW Terwilliger Blvd, Portland, OR 97239

Accepted 19 August 2011. published online 24 October 2011.

Purpose

To measure accuracy and speed for detection of vascular progression in retinopathy of prematurity (ROP) from serial images. Two strategies are compared: static side-by-side presentation and dynamic flickering of superimposed image pairs.

Design

Prospective comparative study.

Methods

Fifteen de-identified, wide-angle retinal image pairs were taken from infants who eventually developed plus disease. Image pairs representing vascular disease progression were taken ≥1 week apart, and control images without progression were taken on the same day. Dynamic flickering pairs were created by digital image registration. Ten experts independently reviewed each image pair on a secure website using both strategies, and were asked to identify progression or state that images were identical. Accuracy and speed were measured, using examination date and ophthalmoscopic findings as a reference standard.

Results

Using static images, experts were accurate in a mean (%) ± standard deviation (SD) of 11.4 of 15 (76%) ± 1.7 image pairs. Using dynamic flickering images, experts were accurate in a mean (%) ± SD of 11.3 of 15 (75%) ± 1.7 image pairs. There was no significant difference in accuracy between these strategies (P = .420). Diagnostic speed was faster using dynamic flickering (24.7 ± 8.3 seconds) vs static side-by-side images (40.3 ± 18.3 seconds) (P = .002). Experts reported higher confidence when interpreting dynamic flickering images (P = .001).

Conclusions

Retinal imaging provides objective documentation of vascular appearance, with potentially improved ability to recognize ROP progression compared to standard ophthalmoscopy. Speed of identifying vascular progression was faster by review of dynamic flickering image pairs than by static side-by-side images, although there was no difference in accuracy.

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 Supplemental Material available at AJO.com.

 Michael Chiang is currently affiliated with the Departments of Ophthalmology & Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, Oregon.

PII: S0002-9394(11)00672-6

doi:10.1016/j.ajo.2011.08.030

American Journal of Ophthalmology
Volume 153, Issue 3 , Pages 544-551.e2, March 2012