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Remote Photo Screening Effective in Detecting Eye Damage in Premature Babies - 07/03/2014
Remote Photo Screening Effective in Detecting Eye Damage in Premature Babies
Telemedicine could improve access, reduce screening costs
Release Date: July 3, 2014
Credit: National Eye Institute, National Institutes of Health
Remote examination of eye scans can be nearly as effective as traditional eye exams in detecting premature newborns with a potentially blinding eye disorder, according to findings from a new federally funded study conducted by investigators at the Johns Hopkins Children’s Center and 12 other institutions.
The condition, known as retinopathy of prematurity, affects about 15,000 U.S. babies a year and is marked by abnormal growth of blood vessels in the light-collecting portion of the eye, or the retina. This leads to retinal scarring, detachment and eventually loss of eyesight. Many infants outgrow the disorder within a few weeks of birth, but 10 percent have a form severe enough to require prompt treatment to stave off permanent damage and vision loss.
The results of the new study, published online June 26 in JAMA Ophthalmology, provide evidence that the remote evaluation approach, known as telemedicine, can correctly identify those in need of surgery — a finding that can help speed up diagnosis and treatment among premature babies born in underserved areas of the country and around the world without pediatric eye experts.
The study, which involved more than 1,250 premature infants born in 13 neonatal intensive care units, compared how accurately either method could identify babies with forms of the disease severe enough to require further exams and, eventually, surgery. All babies were evaluated by both a pediatric ophthalmologist and by two non-physician image readers located off site who analyzed photographs of the babies’ eyes obtained via retinal scans. Infants whose initial on-site exam showed retinopathy of prematurity had follow-up exams at approximately 10-day intervals to monitor disease progression. Babies who showed unremitting eye damage underwent corrective surgery.
Overall, physician exam and remote image reading had similar accuracy in picking up severe forms of the disease. Remote image readers correctly identified 90 percent of patients diagnosed by expert ophthalmologists. When presented with images of infants with milder forms of the disease, the image readers accurately identified them as not severe 87 percent of the time. When investigators focused solely on results of the final exam, the accuracy of remote image readers increased to 98 percent, suggesting that detection greatly improves as the disease progresses.
“Our findings provide solid evidence that remote evaluation of newborns with eye disease is an effective and safe alternative to frequent physician eye exams in areas that lack access to such specialized services,” says Michael X. Repka, M.D., a pediatric ophthalmologist at the Wilmer Eye Institute at Johns Hopkins and director of ophthalmology at the Johns Hopkins Children’s Center.
The investigators, however, caution that despite its high accuracy, the remote screening approach is not perfect and that a small number of babies requiring treatment could be missed by remote evaluation.
“One missed case is one case too many,” Repka says. “This approach was highly accurate in detecting severe retinopathy of prematurity but no screening system or exam for this condition is yet fool-proof so we need to design and implement safeguards that would render remote screening 100 percent accurate 100 percent of the time. This is our next step.”
Other institutions involved in the research included:
The Children’s Hospital of Philadelphia
Boston Children’s Hospital
Nationwide Children’s Hospital and Ohio State University Hospital
University of Louisville
University of Minnesota
University of Oklahoma
University of Texas Health Science Center at San Antonio
University of Utah
Foothills Medical Centre in Calgary, Alberta, Canada
University of Pennsylvania
The study was funded by the National Eye Institute, part of the National Institutes of Health.