Literature DB >> 27657673

Analysis of Discrepancy Between Diagnostic Clinical Examination Findings and Corresponding Evaluation of Digital Images in the Telemedicine Approaches to Evaluating Acute-Phase Retinopathy of Prematurity Study.

Graham E Quinn1, Anna Ells2, Antonio Capone3, G Baker Hubbard4, Ebenezer Daniel5, P Lloyd Hildebrand6, Gui-Shuang Ying5.   

Abstract

IMPORTANCE: As effective treatments for potentially blinding retinopathy of prematurity (ROP) have been introduced, the importance of consistency in findings has increased, especially with the shift toward retinal imaging in infants at risk of ROP.
OBJECTIVE: To characterize discrepancies in findings of ROP between digital retinal image grading and examination results from the Telemedicine Approaches to Evaluating Acute-Phase Retinopathy of Prematurity study, conducted from May 2011 to October 2013. DESIGN, SETTING, AND PARTICIPANTS: A poststudy consensus review of images was conducted by 4 experts, who examined discrepancies in findings between image grades by trained nonphysician readers and physician examination results in infants with referral-warranted ROP (RW-ROP). Images were obtained from 13 North American neonatal intensive care units from eyes of infants with birth weights less than 1251 g. For discrepancy categories with more than 100 cases, 40 were randomly selected; in total, 188 image sets were reviewed. MAIN OUTCOMES AND MEASURES: Consensus evaluation of discrepant image and examination findings for RW-ROP components.
RESULTS: Among 5350 image set pairs, there were 161 instances in which image grading did not detect RW-ROP noted on clinical examination (G-/E+) and 854 instances in which grading noted RW-ROP when the examination did not (G+/E-). Among the sample of G-/E+ cases, 18 of 32 reviews (56.3%) agreed with clinical examination findings that ROP was present in zone I and 18 of 40 (45.0%) agreed stage 3 ROP was present, but only 1 of 20 (5.0%) agreed plus disease was present. Among the sample of G+/E- cases, 36 of 40 reviews (90.0%) agreed with readers that zone I ROP was present, 23 of 40 (57.5%) agreed with readers that stage 3 ROP was present, and 4 of 16 (25.0%) agreed that plus disease was present. Based on the consensus review results of the sampled cases, we estimated that review would agree with clinical examination findings in 46.5% of the 161 G-/E+ cases (95% CI, 41.6-51.6) and agree with trained reader grading in 70.0% of the 854 G+/E- cases (95% CI, 67.3-72.8) for the presence of RW-ROP. CONCLUSIONS AND RELEVANCE: This report highlights limitations and strengths of both the remote evaluation of fundus images and bedside clinical examination of infants at risk for ROP. These findings highlight the need for standardized approaches as ROP telemedicine becomes more widespread.

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Year:  2016        PMID: 27657673      PMCID: PMC5989319          DOI: 10.1001/jamaophthalmol.2016.3502

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN: 2168-6165            Impact factor:   7.389


  27 in total

1.  Inadvertent skip areas in treatment of zone 1 retinopathy of prematurity.

Authors:  Saad Shaikh; Antonio Capone; Steven D Schwartz; Christine Gonzales; Michael T Trese
Journal:  Retina       Date:  2003-02       Impact factor: 4.256

Review 2.  The International Classification of Retinopathy of Prematurity revisited.

Authors: 
Journal:  Arch Ophthalmol       Date:  2005-07

3.  Telemedical retinopathy of prematurity diagnosis: accuracy, reliability, and image quality.

Authors:  Michael F Chiang; Lu Wang; Mihai Busuioc; Yunling E Du; Patrick Chan; Steven A Kane; Thomas C Lee; David J Weissgold; Audina M Berrocal; Osode Coki; John T Flynn; Justin Starren
Journal:  Arch Ophthalmol       Date:  2007-11

Review 4.  Feasibility of telemedicine in detecting diabetic retinopathy and age-related macular degeneration.

Authors:  Kamyar Vaziri; Darius M Moshfeghi; Andrew A Moshfeghi
Journal:  Semin Ophthalmol       Date:  2013-10-30       Impact factor: 1.975

5.  Inter-expert and intra-expert agreement on the diagnosis and treatment of retinopathy of prematurity.

Authors:  Andreas Gschließer; Eva Stifter; Thomas Neumayer; Elisabeth Moser; Andrea Papp; Niklas Pircher; Guido Dorner; Stefan Egger; Nenad Vukojevic; Isabel Oberacher-Velten; Ursula Schmidt-Erfurth
Journal:  Am J Ophthalmol       Date:  2015-05-21       Impact factor: 5.258

6.  Telemedicine and eye examinations for diabetic retinopathy: a time to maximize real-world outcomes.

Authors:  Paolo S Silva; Lloyd Paul Aiello
Journal:  JAMA Ophthalmol       Date:  2015-05       Impact factor: 7.389

7.  Safety of Retinopathy of Prematurity Examination and Imaging in Premature Infants.

Authors:  Kelly C Wade; Maxwell Pistilli; Agnieshka Baumritter; Karen Karp; Alice Gong; Alex R Kemper; Gui-Shuang Ying; Graham Quinn
Journal:  J Pediatr       Date:  2015-08-20       Impact factor: 4.406

8.  Evidence-based screening criteria for retinopathy of prematurity: natural history data from the CRYO-ROP and LIGHT-ROP studies.

Authors:  James D Reynolds; Velma Dobson; Graham E Quinn; Alistair R Fielder; Earl A Palmer; Richard A Saunders; Robert J Hardy; Dale L Phelps; John D Baker; Michael T Trese; David Schaffer; Betty Tung
Journal:  Arch Ophthalmol       Date:  2002-11

9.  Influence of Fluorescein Angiography on the Diagnosis and Management of Retinopathy of Prematurity.

Authors:  Michael A Klufas; Samir N Patel; Michael C Ryan; Mrinali Patel Gupta; Karyn E Jonas; Susan Ostmo; Maria Ana Martinez-Castellanos; Audina M Berrocal; Michael F Chiang; R V Paul Chan
Journal:  Ophthalmology       Date:  2015-05-28       Impact factor: 12.079

10.  Validity of a telemedicine system for the evaluation of acute-phase retinopathy of prematurity.

Authors:  Graham E Quinn; Gui-shuang Ying; Ebenezer Daniel; P Lloyd Hildebrand; Anna Ells; Agnieshka Baumritter; Alex R Kemper; Eleanor B Schron; Kelly Wade
Journal:  JAMA Ophthalmol       Date:  2014-10       Impact factor: 7.389

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  17 in total

1.  Teleophthalmology image-based navigated retinal laser therapy for diabetic macular edema: a concept of retinal telephotocoagulation.

Authors:  Igor Kozak; John F Payne; Patrik Schatz; Eman Al-Kahtani; Moritz Winkler
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2017-04-26       Impact factor: 3.117

2.  Single grading vs double grading with adjudication in the telemedicine approaches to evaluating acute-phase retinopathy of prematurity (e-ROP) study.

Authors:  Ebenezer Daniel; Wei Pan; Graham E Quinn; Eli Smith; Agnieshka Baumritter; Gui-Shuang Ying
Journal:  J AAPOS       Date:  2017-12-20       Impact factor: 1.220

3.  Telemedicine for Retinopathy of Prematurity in 2020.

Authors:  Theodore Bowe; Cindy Ung; J Peter Campbell; Yoshihiro Yonekawa
Journal:  J Vitreoretin Dis       Date:  2019-09-05

4.  Detection of Potentially Severe Retinopathy of Prematurity by Remote Image Grading.

Authors:  Graham E Quinn; Gui-Shuang Ying; Wei Pan; Agnieshka Baumritter; Ebenezer Daniel
Journal:  JAMA Ophthalmol       Date:  2017-09-01       Impact factor: 7.389

Review 5.  Artificial intelligence for retinopathy of prematurity.

Authors:  Rebekah H Gensure; Michael F Chiang; John P Campbell
Journal:  Curr Opin Ophthalmol       Date:  2020-09       Impact factor: 3.761

6.  Practice Guidelines for Ocular Telehealth-Diabetic Retinopathy, Third Edition.

Authors:  Mark B Horton; Christopher J Brady; Jerry Cavallerano; Michael Abramoff; Gail Barker; Michael F Chiang; Charlene H Crockett; Seema Garg; Peter Karth; Yao Liu; Clark D Newman; Siddarth Rathi; Veeral Sheth; Paolo Silva; Kristen Stebbins; Ingrid Zimmer-Galler
Journal:  Telemed J E Health       Date:  2020-03-25       Impact factor: 3.536

7.  Accuracy and Reliability of a Handheld, Nonmydriatic Fundus Camera for the Remote Detection of Optic Disc Edema.

Authors:  Lulu Bursztyn; Maria A Woodward; Wayne T Cornblath; Hilary M Grabe; Jonathan D Trobe; Leslie Niziol; Lindsey B De Lott
Journal:  Telemed J E Health       Date:  2017-10-13       Impact factor: 3.536

8.  A Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning to Monitor Disease Regression After Treatment.

Authors:  Kishan Gupta; J Peter Campbell; Stanford Taylor; James M Brown; Susan Ostmo; R V Paul Chan; Jennifer Dy; Deniz Erdogmus; Stratis Ioannidis; Jayashree Kalpathy-Cramer; Sang J Kim; Michael F Chiang
Journal:  JAMA Ophthalmol       Date:  2019-07-03       Impact factor: 7.389

9.  Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning.

Authors:  Stanford Taylor; James M Brown; Kishan Gupta; J Peter Campbell; Susan Ostmo; R V Paul Chan; Jennifer Dy; Deniz Erdogmus; Stratis Ioannidis; Sang J Kim; Jayashree Kalpathy-Cramer; Michael F Chiang
Journal:  JAMA Ophthalmol       Date:  2019-07-03       Impact factor: 7.389

Review 10.  Telemedicine for Retinopathy of Prematurity.

Authors:  Christopher J Brady; Samantha D'Amico; J Peter Campbell
Journal:  Telemed J E Health       Date:  2020-03-25       Impact factor: 3.536

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