Literature DB >> 29796680

Comparison Study of Funduscopic Examination Using a Smartphone-Based Digital Ophthalmoscope and the Direct Ophthalmoscope.

Amy Ruomei Wu, Samiksha Fouzdar-Jain, Donny W Suh.   

Abstract

PURPOSE: To assess the ease of use of the D-EYE digital ophthalmoscope (D-EYE Srl, Padova, Italy) in retinal screening against the conventional direct ophthalmoscope. The digital ophthalmoscope used comprised a smartphone equipped with a D-EYE lens that produces digital retinal images.
METHODS: Twenty-five medical students were given 30 minutes of instruction regarding how to use a direct ophthalmoscope and D-EYE digital ophthalmoscope by a pediatric ophthalmologist. Afterwards, they used two methods to view the fundus under dim light on two undilated volunteer participants under supervision of the pediatric ophthalmologist. Each student had to describe their findings and show the video taken from the smartphone to the pediatric ophthalmologist. Students also completed a survey rating their experience using each method.
RESULTS: Ninety-two percent of the medical students preferred the D-EYE digital ophthalmoscope to the direct ophthalmoscope. Students were also able to identify the optic nerve and macula in a shorter amount of time and review the images to confirm their findings. Overall, the medical students showed a strong preference for the D-EYE digital ophthalmoscope that was statistically significant (P < .001).
CONCLUSIONS: The D-EYE digital ophthalmoscope is a practical device that could be incorporated into medical education and clinical practice. Survey results revealed that most students preferred the D-EYE digital ophthalmoscope due to the recording features and larger image of the fundus. [J Pediatr Ophthalmol Strabismus. 2018;55(3):201-206.]. Copyright 2018, SLACK Incorporated.

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Year:  2018        PMID: 29796680     DOI: 10.3928/01913913-20180220-01

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


  9 in total

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9.  Detection and Mosaicing Techniques for Low-Quality Retinal Videos.

Authors:  José Camara; Bruno Silva; António Gouveia; Ivan Miguel Pires; Paulo Coelho; António Cunha
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  9 in total

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