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

• Published in: PloS one Vol. 13; no. 7; p. e0201544
• Main Authors: Wongwai, Phanthipha, Suwannaraj, Sirinya, Asawaphureekorn, Somkiat
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 31.07.2018; Public Library of Science (PLoS)
• Subjects: Accuracy; Analysis; Babies; Biology and Life Sciences; Birth weight; Confidence intervals; Developing countries; Diagnostic equipment (Medical); Diagnostic systems; Digital imaging; Engineering and Technology; Gestational age; Hospitals; Image detection; Infants; LDCs; Likelihood ratio; Medical diagnosis; Medical imaging; Medical personnel; Medicine and Health Sciences; Parameter sensitivity; People and Places; Research and Analysis Methods; Retina; Retinopathy; Retinopathy of prematurity; Science Policy; Sensitivity; Statistical analysis; Technicians; Telemedicine; Thailand
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0201544

To evaluate the diagnostic accuracy of a digital fundus photographic system that consists of taking fundus photographs by a trained technician using a RetCam® shuttle and interpreting fundus images by an expert to detect Retinotapthy of Prematurity requiring treatment (ROP-RT) which defined as type I ROP according to the Early Treatment for ROP study (ETROP). One hundred infants were examined by (1) an expert ophthalmologist experienced in ROP care using indirect ophthalmoscopy; (2) digital wide-field imaging by a trained technician using a RetCam® shuttle and images were sent remotely for interpretation by two ophthalmologists experienced in ROP care (Reader A, and Reader B); and (3) local ophthalmologists using indirect ophthalmoscopy. The diagnostic acurracy consisting of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+), and negative likelihood ratio (LR-) were calculated. Agreement between all examiners and readers were evaluated. A total of 100 infants (mean gestational age 31.1 weeks, mean birth weight 1,511.1 grams) participated in the study. Nine infants were classified as ROP-RT. Reader A and B had very good agreement in detection of ROP- RT (Kappa 1.00, 95% CI 1.00, 1.00). For reader A, diagnostic performance parameters (95% confidence intervals) for detecting ROP-RT were; sensitivity 100.0% (66.4, 100.0), specificity 97.8% (92.1, 99.7), PPV 81.8% (48.2, 97.7), NPV 100.0% (95.8, 100.0), LR+ 44.5 (11.3, 175.2), and LR- 0.1 (0.0, 0.8). For reader B these were; sensitivity 100.0% (66.4, 100.0), specificity 95.6% (89.0, 98.8), PPV 69.2% (38.6, 90.9), NPV 100.0% (95.8, 100.0), LR+ 22.5 (8.6, 58.6), LR- 0.1 (0.0, 0.8). No adverse events were reported. Diagnosis of ROP-RT from RetCam® images taken by trained technicians and evaluated remotely by an expert ophthalmologist had good diagnostic accuracy for screening purposes.