Literature DB >> 29621387

Diagnostic Accuracy of Ophthalmoscopy vs Telemedicine in Examinations for Retinopathy of Prematurity.

Hilal Biten1, Travis K Redd1, Chace Moleta1, J Peter Campbell1, Susan Ostmo1, Karyn Jonas2, R V Paul Chan2,3, Michael F Chiang1,4.   

Abstract

Importance: Examinations for retinopathy of prematurity (ROP) are typically performed using binocular indirect ophthalmoscopy. Telemedicine studies have traditionally assessed the accuracy of telemedicine compared with ophthalmoscopy as a criterion standard. However, it is not known whether ophthalmoscopy is truly more accurate than telemedicine. Objective: To directly compare the accuracy and sensitivity of ophthalmoscopy vs telemedicine in diagnosing ROP using a consensus reference standard. Design, Setting, and Participants: This multicenter prospective study conducted between July 1, 2011, and November 30, 2014, at 7 neonatal intensive care units and academic ophthalmology departments in the United States and Mexico included 281 premature infants who met the screening criteria for ROP. Exposures: Each examination consisted of 1 eye undergoing binocular indirect ophthalmoscopy by an experienced clinician followed by remote image review of wide-angle fundus photographs by 3 independent telemedicine graders. Main Outcomes and Measures: Results of both examination methods were combined into a consensus reference standard diagnosis. The agreement of both ophthalmoscopy and telemedicine was compared with this standard, using percentage agreement and weighted κ statistics.
Results: Among the 281 infants in the study (127 girls and 154 boys; mean [SD] gestational age, 27.1 [2.4] weeks), a total of 1553 eye examinations were classified using both ophthalmoscopy and telemedicine. Ophthalmoscopy and telemedicine each had similar sensitivity for zone I disease (78% [95% CI, 71%-84%] vs 78% [95% CI, 73%-83%]; P > .99 [n = 165]), plus disease (74% [95% CI, 61%-87%] vs 79% [95% CI, 72%-86%]; P = .41 [n = 50]), and type 2 ROP (stage 3, zone I, or plus disease: 86% [95% CI, 80%-92%] vs 79% [95% CI, 75%-83%]; P = .10 [n = 251]), but ophthalmoscopy was slightly more sensitive in identifying stage 3 disease (85% [95% CI, 79%-91%] vs 73% [95% CI, 67%-78%]; P = .004 [n = 136]). Conclusions and Relevance: No difference was found in overall accuracy between ophthalmoscopy and telemedicine for the detection of clinically significant ROP, although, on average, ophthalmoscopy had slightly higher accuracy for the diagnosis of zone III and stage 3 ROP. With the caveat that there was variable accuracy between examiners using both modalities, these results support the use of telemedicine for the diagnosis of clinically significant ROP.

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Mesh:

Year:  2018        PMID: 29621387      PMCID: PMC6036899          DOI: 10.1001/jamaophthalmol.2018.0649

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


  50 in total

1.  Reference standards, judges, and comparison subjects: roles for experts in evaluating system performance.

Authors:  George Hripcsak; Adam Wilcox
Journal:  J Am Med Inform Assoc       Date:  2002 Jan-Feb       Impact factor: 4.497

2.  Telephotoscreening to detect retinopathy of prematurity: preliminary study of the optimum time to employ digital fundus camera imaging to detect ROP.

Authors:  Kimberly G Yen; Ditte Hess; Barbara Burke; Rose Anne Johnson; William J Feuer; John T Flynn
Journal:  J AAPOS       Date:  2002-04       Impact factor: 1.220

3.  Detection of clinically significant retinopathy of prematurity using wide-angle digital retinal photography: a report by the American Academy of Ophthalmology.

Authors:  Michael F Chiang; Michele Melia; Angela N Buffenn; Scott R Lambert; Franco M Recchia; Jennifer L Simpson; Michael B Yang
Journal:  Ophthalmology       Date:  2012-04-27       Impact factor: 12.079

4.  Accuracy and reliability of remote retinopathy of prematurity diagnosis.

Authors:  Michael F Chiang; Jeremy D Keenan; Justin Starren; Yunling E Du; William M Schiff; Gaetano R Barile; Joan Li; Rose Anne Johnson; Ditte J Hess; John T Flynn
Journal:  Arch Ophthalmol       Date:  2006-03

Review 5.  Plus disease.

Authors:  Bradley V Davitt; David K Wallace
Journal:  Surv Ophthalmol       Date:  2009-08-08       Impact factor: 6.048

6.  Childhood blindness.

Authors:  P G Steinkuller; L Du; C Gilbert; A Foster; M L Collins; D K Coats
Journal:  J AAPOS       Date:  1999-02       Impact factor: 1.220

7.  Telemedical diagnosis of retinopathy of prematurity: accuracy of expert versus non-expert graders.

Authors:  Steven L Williams; Lu Wang; Steven A Kane; Thomas C Lee; David J Weissgold; Audina M Berrocal; Daniel Rabinowitz; Justin Starren; John T Flynn; Michael F Chiang
Journal:  Br J Ophthalmol       Date:  2009-12-02       Impact factor: 4.638

8.  Revised indications for the treatment of retinopathy of prematurity: results of the early treatment for retinopathy of prematurity randomized trial.

Authors: 
Journal:  Arch Ophthalmol       Date:  2003-12

9.  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

10.  Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the "i-ROP" System and Image Features Associated With Expert Diagnosis.

Authors:  Esra Ataer-Cansizoglu; Veronica Bolon-Canedo; J Peter Campbell; Alican Bozkurt; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Samir Patel; Karyn Jonas; R V Paul Chan; Susan Ostmo; Michael F Chiang
Journal:  Transl Vis Sci Technol       Date:  2015-11-30       Impact factor: 3.283

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  11 in total

1.  A renaissance of teleophthalmology through artificial intelligence.

Authors:  Edward Korot; Edward Wood; Adam Weiner; Dawn A Sim; Michael Trese
Journal:  Eye (Lond)       Date:  2019-01-08       Impact factor: 3.775

2.  Is This the Right Reference Standard Diagnosis for Retinopathy of Prematurity?-Reply.

Authors:  Travis K Redd; J Peter Campbell; Michael F Chiang
Journal:  JAMA Ophthalmol       Date:  2018-12-01       Impact factor: 7.389

3.  Cost-effectiveness of Artificial Intelligence-Based Retinopathy of Prematurity Screening.

Authors:  Steven L Morrison; Dmitry Dukhovny; R V Paul Chan; Michael F Chiang; J Peter Campbell
Journal:  JAMA Ophthalmol       Date:  2022-04-01       Impact factor: 8.253

4.  Portable wide-field digital imaging for screening of neonatal visual impairment causes in Rio de Janeiro, Brazil: a budget impact analysis.

Authors:  Lorena M Haefeli; Luiza M Neves; Andrea Zin; Ana Carolina Carioca Costa; Zilton Farias Meira de Vasconcelos; Marcia Pinto
Journal:  BMJ Open       Date:  2022-06-10       Impact factor: 3.006

5.  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

6.  Smartphone-based fundus photography for screening of plus-disease retinopathy of prematurity.

Authors:  Tapan P Patel; Michael T Aaberg; Yannis M Paulus; Philip Lieu; Vaidehi S Dedania; Cynthia X Qian; Cagri G Besirli; Todd Margolis; Daniel A Fletcher; Tyson N Kim
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2019-09-09       Impact factor: 3.117

7.  Diagnostic accuracy of a digital fundus photographic system for detection of retinopathy of prematurity requiring treatment (ROP-RT).

Authors:  Phanthipha Wongwai; Sirinya Suwannaraj; Somkiat Asawaphureekorn
Journal:  PLoS One       Date:  2018-07-31       Impact factor: 3.240

Review 8.  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

9.  Auto-Processed Retinal Vessel Shadow View Images From Bedside Optical Coherence Tomography to Evaluate Plus Disease in Retinopathy of Prematurity.

Authors:  Kai R Seely; Kira L Wang; Vincent Tai; S Grace Prakalapakorn; Stephanie J Chiu; Christian Viehland; Sara Grace; Joseph A Izatt; Sharon F Freedman; Cynthia A Toth
Journal:  Transl Vis Sci Technol       Date:  2020-08-07       Impact factor: 3.283

10.  Key factors in a rigorous longitudinal image-based assessment of retinopathy of prematurity.

Authors:  Tatiana R Rosenblatt; Marco H Ji; Daniel Vail; Cassie A Ludwig; Ahmad Al-Moujahed; Malini Veerappan Pasricha; Natalia F Callaway; Jochen Kumm; Darius M Moshfeghi
Journal:  Sci Rep       Date:  2021-03-08       Impact factor: 4.379

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