Literature DB >> 26114843

Quality and Diagnostic Utility of Mydriatic Smartphone Photography: The Smartphone Ophthalmoscopy Reliability Trial.

Murtaza K Adam, Christopher J Brady, Alexis M Flowers, Alexander T Juhn, Jason Hsu, Sunir J Garg, Ann P Murchison, Marc J Spirn.   

Abstract

BACKGROUND AND
OBJECTIVE: Establish quality and diagnostic utility of mydriatic smartphone ophthalmoscopy (SO) fundus images compared to fundus camera (FC) images. PATIENTS AND METHODS: In this prospective, cross-sectional study, 94 consecutive patients in an urban eye emergency department underwent SO and FC fundus imaging via one of three study arms: medical student 1 (MS1), medical student 2 (MS2), and ophthalmology resident (OR). Images of 188 eyes were graded for overall quality by two masked reviewers, and observed critical fundus findings were compared to dilated fundus examination documentation.
RESULTS: SO images were higher quality in the OR arm than in the MS1 and MS2 arms (P < .017). There were no differences in FC image quality between photographers (all P > .328). In the OR arm, SO images detected 74.3% of critical fundus findings, whereas FC images detected 77.1%.
CONCLUSION: SO produces fundus images approaching the quality and diagnostic utility of traditional FC photographs. Copyright 2015, SLACK Incorporated.

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Year:  2015        PMID: 26114843     DOI: 10.3928/23258160-20150610-06

Source DB:  PubMed          Journal:  Ophthalmic Surg Lasers Imaging Retina        ISSN: 2325-8160            Impact factor:   1.300


  17 in total

Review 1.  Clinically useful smartphone ophthalmic imaging techniques.

Authors:  Amar Pujari; Gunjan Saluja; Divya Agarwal; Harathy Selvan; Namrata Sharma
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2020-09-11       Impact factor: 3.117

Review 2.  Smartphone fundus photography: a narrative review.

Authors:  Usama Iqbal
Journal:  Int J Retina Vitreous       Date:  2021-06-08

3.  Smartphone Fundus Photography.

Authors:  Hossein Nazari Khanamiri; Austin Nakatsuka; Jaafar El-Annan
Journal:  J Vis Exp       Date:  2017-07-06       Impact factor: 1.355

4.  Undilated versus dilated monoscopic smartphone-based fundus photography for optic nerve head evaluation.

Authors:  Maximilian W M Wintergerst; Christian K Brinkmann; Frank G Holz; Robert P Finger
Journal:  Sci Rep       Date:  2018-07-06       Impact factor: 4.379

5.  Agreement between retinal images obtained via smartphones and images obtained with retinal cameras or fundoscopic exams - systematic review and meta-analysis.

Authors:  Manuel Ap Vilela; Felipe M Valença; Pedro Km Barreto; Carlos Ev Amaral; Lúcia C Pellanda
Journal:  Clin Ophthalmol       Date:  2018-12-11

6.  Comparison of smartphone ophthalmoscopy vs conventional direct ophthalmoscopy as a teaching tool for medical students: the COSMOS study.

Authors:  Yeji Kim; Daniel L Chao
Journal:  Clin Ophthalmol       Date:  2019-02-18

7.  Trash to treasure Retcam.

Authors:  Prithvi Chandrakanth; Ramya Ravichandran; Naveen G Nischal; M Subhashini
Journal:  Indian J Ophthalmol       Date:  2019-04       Impact factor: 1.848

8.  Use of smartphones for detecting diabetic retinopathy: a protocol for a scoping review of diagnostic test accuracy studies.

Authors:  Choon Han Tan; Willie-Henri Quah; Colin S H Tan; Helen Smith; Lorainne Tudor Car
Journal:  BMJ Open       Date:  2019-12-08       Impact factor: 2.692

9.  Learning curve evaluation upskilling retinal imaging using smartphones.

Authors:  Linus G Jansen; Payal Shah; Bettina Wabbels; Frank G Holz; Robert P Finger; Maximilian W M Wintergerst
Journal:  Sci Rep       Date:  2021-06-16       Impact factor: 4.379

10.  A Smartphone-Based Tool for Rapid, Portable, and Automated Wide-Field Retinal Imaging.

Authors:  Tyson N Kim; Frank Myers; Clay Reber; P J Loury; Panagiota Loumou; Doug Webster; Chris Echanique; Patrick Li; Jose R Davila; Robi N Maamari; Neil A Switz; Jeremy Keenan; Maria A Woodward; Yannis M Paulus; Todd Margolis; Daniel A Fletcher
Journal:  Transl Vis Sci Technol       Date:  2018-10-01       Impact factor: 3.283

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