Literature DB >> 27591053

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

J Peter Campbell1, Jayashree Kalpathy-Cramer2, Deniz Erdogmus3, Peng Tian3, Dharanish Kedarisetti3, Chace Moleta1, James D Reynolds4, Kelly Hutcheson5, Michael J Shapiro6, Michael X Repka7, Philip Ferrone8, Kimberly Drenser9, Jason Horowitz10, Kemal Sonmez11, Ryan Swan11, Susan Ostmo1, Karyn E Jonas12, R V Paul Chan12, Michael F Chiang13.   

Abstract

PURPOSE: To identify patterns of interexpert discrepancy in plus disease diagnosis in retinopathy of prematurity (ROP).
DESIGN: We developed 2 datasets of clinical images as part of the Imaging and Informatics in ROP study and determined a consensus reference standard diagnosis (RSD) for each image based on 3 independent image graders and the clinical examination results. We recruited 8 expert ROP clinicians to classify these images and compared the distribution of classifications between experts and the RSD. PARTICIPANTS: Eight participating experts with more than 10 years of clinical ROP experience and more than 5 peer-reviewed ROP publications who analyzed images obtained during routine ROP screening in neonatal intensive care units.
METHODS: Expert classification of images of plus disease in ROP. MAIN OUTCOME MEASURES: Interexpert agreement (weighted κ statistic) and agreement and bias on ordinal classification between experts (analysis of variance [ANOVA]) and the RSD (percent agreement).
RESULTS: There was variable interexpert agreement on diagnostic classifications between the 8 experts and the RSD (weighted κ, 0-0.75; mean, 0.30). The RSD agreement ranged from 80% to 94% for the dataset of 100 images and from 29% to 79% for the dataset of 34 images. However, when images were ranked in order of disease severity (by average expert classification), the pattern of expert classification revealed a consistent systematic bias for each expert consistent with unique cut points for the diagnosis of plus disease and preplus disease. The 2-way ANOVA model suggested a highly significant effect of both image and user on the average score (dataset A: P < 0.05 and adjusted R2 = 0.82; and dataset B: P < 0.05 and adjusted R2 = 0.6615).
CONCLUSIONS: There is wide variability in the classification of plus disease by ROP experts, which occurs because experts have different cut points for the amounts of vascular abnormality required for presence of plus and preplus disease. This has important implications for research, teaching, and patient care for ROP and suggests that a continuous ROP plus disease severity score may reflect more accurately the behavior of expert ROP clinicians and may better standardize classification in the future.
Copyright © 2016 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2016        PMID: 27591053      PMCID: PMC5077639          DOI: 10.1016/j.ophtha.2016.07.026

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  43 in total

Review 1.  Measuring agreement in medical informatics reliability studies.

Authors:  George Hripcsak; Daniel F Heitjan
Journal:  J Biomed Inform       Date:  2002-04       Impact factor: 6.317

2.  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

Review 3.  The International Classification of Retinopathy of Prematurity revisited.

Authors: 
Journal:  Arch Ophthalmol       Date:  2005-07

4.  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

5.  Computer-assisted quantification of vascular tortuosity in retinopathy of prematurity (an American Ophthalmological Society thesis).

Authors:  David K Wallace
Journal:  Trans Am Ophthalmol Soc       Date:  2007

6.  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

7.  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
Journal:  Retina       Date:  2010-06       Impact factor: 4.256

8.  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

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

View more
  31 in total

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

Authors:  Chace Moleta; J Peter Campbell; Jayashree Kalpathy-Cramer; R V Paul Chan; Susan Ostmo; Karyn Jonas; Michael F Chiang
Journal:  Am J Ophthalmol       Date:  2017-01-11       Impact factor: 5.258

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

Authors:  Hilal Biten; Travis K Redd; Chace Moleta; J Peter Campbell; Susan Ostmo; Karyn Jonas; R V Paul Chan; Michael F Chiang
Journal:  JAMA Ophthalmol       Date:  2018-05-01       Impact factor: 7.389

Review 3.  Anti-Vascular Endothelial Growth Factor and the Evolving Management Paradigm for Retinopathy of Prematurity.

Authors:  Dana Darwish; Ru-Ik Chee; Samir N Patel; Karyn Jonas; Susan Ostmo; J Peter Campbell; Michael F Chiang; R V Paul Chan
Journal:  Asia Pac J Ophthalmol (Phila)       Date:  2018-05-29

Review 4.  Plus Disease in Retinopathy of Prematurity: More Than Meets the ICROP?

Authors:  Layla Ghergherehchi; Sang Jin Kim; J Peter Campbell; Susan Ostmo; R V Paul Chan; Michael F Chiang
Journal:  Asia Pac J Ophthalmol (Phila)       Date:  2018-05-24

5.  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

6.  Development of a scale for grading pre-plus and plus disease using retinal images: A pilot study.

Authors:  David A Nasrazadani; David K Wallace; Sharon F Freedman; S Grace Prakalapakorn
Journal:  J AAPOS       Date:  2018-04-06       Impact factor: 1.220

7.  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
Journal:  Ophthalmol Retina       Date:  2020-05-04

8.  Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.

Authors:  James M Brown; J Peter Campbell; Andrew Beers; Ken Chang; Susan Ostmo; R V Paul Chan; Jennifer Dy; Deniz Erdogmus; Stratis Ioannidis; Jayashree Kalpathy-Cramer; Michael F Chiang
Journal:  JAMA Ophthalmol       Date:  2018-07-01       Impact factor: 7.389

9.  Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity.

Authors:  Travis K Redd; John Peter Campbell; James M Brown; Sang Jin Kim; Susan Ostmo; Robison Vernon Paul Chan; Jennifer Dy; Deniz Erdogmus; Stratis Ioannidis; Jayashree Kalpathy-Cramer; Michael F Chiang
Journal:  Br J Ophthalmol       Date:  2018-11-23       Impact factor: 4.638

10.  Plus Disease in Retinopathy of Prematurity: Improving Diagnosis by Ranking Disease Severity and Using Quantitative Image Analysis.

Authors:  Jayashree Kalpathy-Cramer; J Peter Campbell; 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:  2016-08-24       Impact factor: 12.079

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.