1. Telemedical diagnosis of retinopathy of prematurity: accuracy of expert versus non-expert graders.
- Author
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Williams SL, Wang L, Kane SA, Lee TC, Weissgold DJ, Berrocal AM, Rabinowitz D, Starren J, Flynn JT, and Chiang MF
- Subjects
- Education, Medical, Continuing methods, Humans, Infant, Newborn, Infant, Premature, New York, Observer Variation, Ophthalmology education, Ophthalmoscopy methods, Pilot Projects, Reproducibility of Results, Sensitivity and Specificity, Telemedicine methods, Clinical Competence, Retinopathy of Prematurity diagnosis, Telemedicine standards
- Abstract
Background/aims: To assess accuracy of telemedical retinopathy of prematurity (ROP) diagnosis by trained non-expert graders compared with expert graders., Methods: Eye examinations (n=248) from 67 consecutive infants were captured using wide-angle retinal photography (RetCam-II, Clarity Medical Systems, Pleasanton, California, USA). Non-expert graders attended two 1-h training sessions on image-based ROP diagnosis. Using a web-based telemedicine system, 14 non-expert and three expert graders provided a diagnosis for each eye: no ROP, mild ROP, type 2 pre-threshold ROP or treatment-requiring ROP. All diagnoses were compared with a reference standard of dilated indirect ophthalmoscopy by an experienced paediatric ophthalmologist., Results: For detection of type 2 or worse ROP, the mean (range) sensitivities and specificities were 0.95 (0.94-0.97) and 0.93 (0.91-0.96) for experts, 0.87 (0.71-0.97) and 0.73 (0.39-0.95) for resident non-experts, and 0.73 (0.41-0.88) and 0.91 (0.84-0.96) for student non-experts, respectively. For detection of treatment-requiring ROP, the mean (range) sensitivities and specificities were 1.00 (1.00-1.00) and 0.93 (0.88-0.96) for experts, 0.88 (0.50-1.00) and 0.84 (0.71-0.98) for resident non-experts, and 0.82 (0.42-1.00) and 0.92 (0.83-0.97) for student non-experts, respectively., Conclusions: Mean sensitivity and specificity of trained non-experts were lower than that of experts, although several non-experts had high accuracy. Development of methods for training non-expert graders may help support telemedical ROP evaluation.
- Published
- 2010
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