Detection of Potentially Severe Retinopathy of Prematurity by Remote Image Grading

Graham E Quinn1,2,3, Gui-Shuang Ying3, Wei Pan3

  • 1Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

JAMA Ophthalmology
|August 11, 2017
PubMed

Insights

Telemedicine for retinopathy of prematurity (ROP) can detect serious ROP earlier than clinical exams. Standardized telemedicine protocols are crucial for widespread adoption and timely infant eye care.

Area of Science:

  • Ophthalmology
  • Neonatology
  • Medical Imaging

Background:

  • Telemedicine for retinopathy of prematurity (ROP) offers timely care for at-risk infants.
  • Early detection of ROP is critical to prevent severe visual impairment.

Purpose of the Study:

  • To characterize eyes at risk for ROP.
  • To determine which ROP types are most effectively detected early via image grading.

Main Methods:

  • Secondary analysis of the Telemedicine Approaches to Evaluating Acute-Phase Retinopathy of Prematurity (e-ROP) study data.
  • Compared ROP detection times between image evaluation and clinical examination in premature infants.

Main Results:

  • Image grading detected referral-warranted ROP (RW-ROP) earlier than clinical examination in 42.7% of eyes.
  • Stage 3 or Zone I ROP constituted a significant proportion of RW-ROP.
  • Findings in early-detected RW-ROP eyes were largely consistent with subsequent clinical examinations.

Conclusions:

  • Telemedicine for ROP shows potential for earlier detection of critical ROP stages.
  • Zone I and Stage 3 ROP are key indicators for RW-ROP.
  • Standardized protocols are essential for effective ROP telemedicine implementation.
Abstract

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