Literature DB >> 31116862

Evaluation of a Remote Telemedicine Screening System for Severe Retinopathy of Prematurity.

Brett A Begley, Joseph Martin, Geoffrey T Tufty, Donny W Suh.   

Abstract

PURPOSE: To evaluate the validity of remote telemedicine screening for retinopathy of prematurity (ROP) in a population of at-risk preterm infants in Iowa and South Dakota.
METHODS: The medical records for all preterm infants screened for ROP at neonatal intensive care units (NICUs) in Sioux City, Iowa, and Sioux Falls, South Dakota, from September 1, 2017, to July 31, 2018, were retrospectively reviewed. The RetCam Shuttle (Natus Medical Inc., Pleasanton, CA) was used to capture retinal images, which were posted on a secure server for evaluation by a pediatric ophthalmologist. Infants with suspected ROP approaching the criteria for treatment with anti-vascular endothelial growth factor (VEGF) medications were transferred to the Children's Hospital and Medical Center NICU in Omaha, Nebraska, where a comprehensive examination was performed and treatment was administered when indicated. The remaining infants received an outpatient comprehensive examination by one of two pediatric ophthalmologists within 2 weeks of discharge.
RESULTS: A total of 124 telemedicine examinations were performed on 35 infants during the study period. Remote telemedicine screening for referral-warranted ROP using the RetCam Shuttle had a sensitivity of 100%, specificity of 97%, positive predictive value of 66.7%, and negative predictive value of 100%. Of the three infants transferred for referral-warranted ROP, two required treatment with anti-VEGF medications. Good outcomes were noted in all cases, and no patients progressed beyond stage 3 ROP.
CONCLUSIONS: Telemedicine screening reliably detected referral-warranted ROP in at-risk premature infants at two remote sites, with no poor outcomes during the 11-month period. These results demonstrate the validity and utility of remote telemedicine screening for ROP. [J Pediatr Ophthalmol Strabismus. 2019;56(3):157-161.]. Copyright 2019, SLACK Incorporated.

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Year:  2019        PMID: 31116862     DOI: 10.3928/01913913-20190215-01

Source DB:  PubMed          Journal:  J Pediatr Ophthalmol Strabismus        ISSN: 0191-3913            Impact factor:   1.402


  2 in total

1.  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

Review 2.  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

  2 in total

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