Literature DB >> 32380115

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

Rene Y Choi1, James M Brown2, Jayashree Kalpathy-Cramer3, R V Paul Chan4, Susan Ostmo1, Michael F Chiang5, J Peter Campbell6.   

Abstract

PURPOSE: Retinopathy of prematurity is a leading cause of childhood blindness worldwide, but clinical diagnosis is subjective, which leads to treatment differences. Our goal was to determine objective differences in the diagnosis of plus disease between clinicians using an automated retinopathy of prematurity (ROP) vascular severity score.
DESIGN: This retrospective cohort study used data from the Imaging and Informatics in ROP Consortium, which comprises 8 tertiary care centers in North America. Fundus photographs of all infants undergoing ROP screening examinations between July 1, 2011, and December 31, 2016, were obtained. PARTICIPANTS: Infants meeting ROP screening criteria who were diagnosed with plus disease and treatment initiated by an examining physician based on ophthalmoscopic examination results.
METHODS: An ROP severity score (1-9) was generated for each image using a deep learning (DL) algorithm. MAIN OUTCOME MEASURES: The mean, median, and range of ROP vascular severity scores overall and for each examiner when the diagnosis of plus disease was made.
RESULTS: A total of 5255 clinical examinations in 871 babies were analyzed. Of these, 168 eyes were diagnosed with plus disease by 11 different examiners and were included in the study. The mean ± standard deviation vascular severity score for patients diagnosed with plus disease was 7.4 ± 1.9, median was 8.5 (interquartile range, 5.8-8.9), and range was 1.1 to 9.0. Within some examiners, variability in the level of vascular severity diagnosed as plus disease was present, and 1 examiner routinely diagnosed plus disease in patients with less severe disease than the other examiners (P < 0.01).
CONCLUSIONS: We observed variability both between and within examiners in the diagnosis of plus disease using DL. Prospective evaluation of clinical trial data using an objective measurement of vascular severity may help to define better the minimum necessary level of vascular severity for the diagnosis of plus disease or how other clinical features such as zone, stage, and extent of peripheral disease ought to be incorporated in treatment decisions.
Copyright © 2020 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2020        PMID: 32380115      PMCID: PMC7867469          DOI: 10.1016/j.oret.2020.04.022

Source DB:  PubMed          Journal:  Ophthalmol Retina        ISSN: 2468-6530


  23 in total

1.  Experts do not agree when to treat retinopathy of prematurity based on plus disease.

Authors:  Carina Slidsborg; Julie Lyng Forman; Alistair R Fielder; Sven Crafoord; Kirsten Baggesen; Regitze Bangsgaard; Hans Callø Fledelius; Gorm Greisen; Morten la Cour
Journal:  Br J Ophthalmol       Date:  2011-12-15       Impact factor: 4.638

2.  Plus disease in retinopathy of prematurity: qualitative analysis of diagnostic process by experts.

Authors:  Nina J Hewing; David R Kaufman; R V Paul Chan; Michael F Chiang
Journal:  JAMA Ophthalmol       Date:  2013-08       Impact factor: 7.389

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.  Multicenter trial of cryotherapy for retinopathy of prematurity. Preliminary results. Cryotherapy for Retinopathy of Prematurity Cooperative Group.

Authors: 
Journal:  Arch Ophthalmol       Date:  1988-04

5.  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

6.  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

7.  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

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.  Interobserver agreement in the interpretation of single-field digital fundus images for diabetic retinopathy screening.

Authors:  Paisan Ruamviboonsuk; Khemawan Teerasuwanajak; Montip Tiensuwan; Kanokwan Yuttitham
Journal:  Ophthalmology       Date:  2006-05       Impact factor: 12.079

10.  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

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  4 in total

1.  Federated Learning for Multicenter Collaboration in Ophthalmology: Implications for Clinical Diagnosis and Disease Epidemiology.

Authors:  Adam Hanif; Charles Lu; Ken Chang; Praveer Singh; Aaron S Coyner; James M Brown; Susan Ostmo; Robison V Paul Chan; Daniel Rubin; Michael F Chiang; Jayashree Kalpathy-Cramer; John Peter Campbell
Journal:  Ophthalmol Retina       Date:  2022-03-16

2.  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
Journal:  Ophthalmology       Date:  2022-02-12       Impact factor: 14.277

3.  Applications of Artificial Intelligence for Retinopathy of Prematurity Screening.

Authors:  J Peter Campbell; Praveer Singh; Travis K Redd; James M Brown; Parag K Shah; Prema Subramanian; Renu Rajan; Nita Valikodath; Emily Cole; Susan Ostmo; R V Paul Chan; Narendran Venkatapathy; Michael F Chiang; Jayashree Kalpathy-Cramer
Journal:  Pediatrics       Date:  2021-03       Impact factor: 7.124

4.  Intravitreal bevacizumab to treat retinopathy of prematurity in 865 eyes: a study to determine predictors of primary treatment failure and recurrence.

Authors:  Kaveh Fadakar; Mohammadreza Mehrabi Bahar; Hamid Riazi-Esfahani; Afsaneh Azarkish; Afsar Dastjani Farahani; Mostafa Heidari; Fatemeh Bazvand
Journal:  Int Ophthalmol       Date:  2022-01-20       Impact factor: 2.029

  4 in total

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