Assessment of image-based technology: impact of referral cutoff on accuracy and reliability of remote retinopathy of prematurity diagnosis.

Michael F. Chiang*, Jeremy D. Keenan, Yunling E. Du, William Schiff, Gaetano Barile, Joan Li, Ditte J. Hess, Rose Anne Johnson, John T. Flynn, Justin Starren

*Corresponding author for this work

Research output: Contribution to journalArticle

15 Scopus citations

Abstract

Telemedicine has potential to improve the delivery, quality, and accessibility of ophthalmic care for infants with Retinopathy of Prematurity (ROP). Using a telemedicine screening strategy, three potential diagnostic cutoffs may be used to define disease that warrants ophthalmologic referral: presence of any ROP, presence of moderate ("type-2 prethreshold") ROP, or presence of severe ROP requiring treatment. This study examines the relationship between accuracy and reliability of diagnosis by three masked ophthalmologist graders at each of these diagnostic cutoffs. The sensitivity, specificity, inter-grader reliability, and intra-grader reliability showed significant variation depending on the diagnostic cutoff, with best results at cutoffs of type-2 prethreshold ROP or treatment-requiring ROP. Before the large-scale adoption of telemedicine for image-based screening of diseases such as ROP, standards defining clinically-relevant referral cutoffs must be established, and diagnostic accuracy and reliability at these cutoffs must be characterized.

Original languageEnglish (US)
Pages (from-to)126-130
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - Jan 1 2005

ASJC Scopus subject areas

  • Medicine(all)

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