Literature DB >> 28087400

Plus Disease in Retinopathy of Prematurity: Diagnostic Trends in 2016 Versus 2007.

Chace Moleta1, J Peter Campbell1, Jayashree Kalpathy-Cramer2, R V Paul Chan3, Susan Ostmo1, Karyn Jonas3, Michael F Chiang4.   

Abstract

PURPOSE: To identify any temporal trends in the diagnosis of plus disease in retinopathy of prematurity (ROP) by experts.
DESIGN: Reliability analysis.
METHODS: ROP experts were recruited in 2007 and 2016 to classify 34 wide-field fundus images of ROP as plus, pre-plus, or normal, coded as "3," "2," and "1," respectively, in the database. The main outcome was the average calculated score for each image in each cohort. Secondary outcomes included correlation on the relative ordering of the images in 2016 vs 2007, interexpert agreement, and intraexpert agreement.
RESULTS: The average score for each image was higher for 30 of 34 (88%) images in 2016 compared with 2007, influenced by fewer images classified as normal (P < .01), a similar number of pre-plus (P = .52), and more classified as plus (P < .01). The mean weighted kappa values in 2006 were 0.36 (range 0.21-0.60), compared with 0.22 (range 0-0.40) in 2016. There was good correlation between rankings of disease severity between the 2 cohorts (Spearman rank correlation ρ = 0.94), indicating near-perfect agreement on relative disease severity.
CONCLUSIONS: Despite good agreement between cohorts on relative disease severity ranking, the higher average score and classifications for each image demonstrate that experts are diagnosing pre-plus and plus disease at earlier stages of disease severity in 2016, compared with 2007. This has implications for patient care, research, and teaching, and additional studies are needed to better understand this temporal trend in image-based plus disease diagnosis.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28087400      PMCID: PMC5376516          DOI: 10.1016/j.ajo.2016.12.025

Source DB:  PubMed          Journal:  Am J Ophthalmol        ISSN: 0002-9394            Impact factor:   5.258


  44 in total

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Authors:  J M Herron; T M Bender; W L Campbell; J H Sumkin; H E Rockette; D Gur
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Review 2.  The International Classification of Retinopathy of Prematurity revisited.

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Journal:  Arch Ophthalmol       Date:  2005-07

3.  Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image Analysis.

Authors:  J Peter Campbell; Esra Ataer-Cansizoglu; Veronica Bolon-Canedo; Alican Bozkurt; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Samir N Patel; James D Reynolds; Jason Horowitz; Kelly Hutcheson; Michael Shapiro; Michael X Repka; Phillip Ferrone; Kimberly Drenser; Maria Ana Martinez-Castellanos; Susan Ostmo; Karyn Jonas; R V Paul Chan; Michael F Chiang
Journal:  JAMA Ophthalmol       Date:  2016-06-01       Impact factor: 7.389

4.  Diagnostic Discrepancies in Retinopathy of Prematurity Classification.

Authors:  J Peter Campbell; Michael C Ryan; Emily Lore; Peng Tian; Susan Ostmo; Karyn Jonas; R V Paul Chan; Michael F Chiang
Journal:  Ophthalmology       Date:  2016-05-27       Impact factor: 12.079

5.  Plus Disease in Retinopathy of Prematurity: A Continuous Spectrum of Vascular Abnormality as a Basis of Diagnostic Variability.

Authors:  J Peter Campbell; Jayashree Kalpathy-Cramer; Deniz Erdogmus; Peng Tian; Dharanish Kedarisetti; Chace Moleta; James D Reynolds; Kelly Hutcheson; Michael J Shapiro; Michael X Repka; Philip Ferrone; Kimberly Drenser; Jason Horowitz; Kemal Sonmez; Ryan Swan; Susan Ostmo; Karyn E Jonas; R V Paul Chan; Michael F Chiang
Journal:  Ophthalmology       Date:  2016-08-31       Impact factor: 12.079

6.  Accuracy of retinopathy of prematurity diagnosis by retinal fellows.

Authors:  R V Paul Chan; Steven L Williams; Yoshihiro Yonekawa; David J Weissgold; Thomas C Lee; Michael F Chiang
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Review 1.  Plus Disease in Retinopathy of Prematurity: More Than Meets the ICROP?

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2.  Variability in Plus Disease Identified Using a Deep Learning-Based Retinopathy of Prematurity Severity Scale.

Authors:  Rene Y Choi; James M Brown; Jayashree Kalpathy-Cramer; R V Paul Chan; Susan Ostmo; Michael F Chiang; J Peter Campbell
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3.  Federated Learning for Multicenter Collaboration in Ophthalmology: Implications for Clinical Diagnosis and Disease Epidemiology.

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4.  Artificial Intelligence for Retinopathy of Prematurity: Validation of a Vascular Severity Scale against International Expert Diagnosis.

Authors:  J Peter Campbell; Michael F Chiang; Jimmy S Chen; Darius M Moshfeghi; Eric Nudleman; Paisan Ruambivoonsuk; Hunter Cherwek; Carol Y Cheung; Praveer Singh; Jayashree Kalpathy-Cramer; Susan Ostmo; Malvina Eydelman; R V Paul Chan; Antonio Capone
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5.  Impact of Artificial Intelligence on Medical Education in Ophthalmology.

Authors:  Nita G Valikodath; Emily Cole; Daniel S W Ting; J Peter Campbell; Louis R Pasquale; Michael F Chiang; R V Paul Chan
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6.  The genetics of retinopathy of prematurity: a model for neovascular retinal disease.

Authors:  Ryan Swan; Sang Jin Kim; J Peter Campbell; R V Paul Chan; Kemal Sonmez; Kent D Taylor; Xiaohui Li; Yii-Der Ida Chen; Jerome I Rotter; Charles Simmons; Michael F Chiang
Journal:  Ophthalmol Retina       Date:  2018-03-08

7.  Changing consumption of resources for respiratory support and short-term outcomes in four consecutive geographical cohorts of infants born extremely preterm over 25 years since the early 1990s.

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