Literature DB >> 10477214

The use of digital cameras in a mobile retinal screening environment.

D J Taylor1, J Fisher, J Jacob, J E Tooke.   

Abstract

AIMS: To assess how successfully digital camera technology might be incorporated into a mobile screening environment.
METHODS: One hundred and ninety-seven people had their fundi photographed using a Topcon/Imagenet digital system and 534 using a Canon CR5/Ris-Lite system in addition to concurrent 45 degrees CR4NM Polaroid photography. One hundred and eighteen randomly selected patients were also sent for 7 field stereo photography as a gold standard. An acceptability questionnaire was answered by a random sample of those photographed.
RESULTS: For the detection of any retinopathy, digital pictures had a sensitivity of 0.74 (95% confidence interval (CI) 0.68-0.80) whilst Polaroid was 0.72 (95% CI 0.66-0.78) and for referable retinopathy digital pictures had a sensitivity of 0.85 (95% CI 0.80-0.90) and Polaroid was 0.90 (95% CI 0.86-0.94). A concurrent ophthalmoscopic evaluation improved the sensitivity to 0.92 (95% CI 0.86-0.98) for detection of any retinopathy whilst the sensitivity at the referral level was improved to 0.95 (95% CI 0.91-0.99). Twenty-nine of 176 respondents experienced flash discomfort with the Polaroid system with only four of 154 describing 'some' discomfort from the digital systems which have a lower flash power (10 W vs. 300 W) and a faster recovery time.
CONCLUSIONS: This study indicates that digital systems are a feasible and acceptable alternative to Polaroid-based cameras for use in a mobile environment.

Entities:  

Mesh:

Year:  1999        PMID: 10477214     DOI: 10.1046/j.1464-5491.1999.00139.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  11 in total

1.  Effect of digital image compression on screening for diabetic retinopathy.

Authors:  R S Newsom; A Clover; M T Costen; J Sadler; J Newton; A J Luff; C R Canning
Journal:  Br J Ophthalmol       Date:  2001-07       Impact factor: 4.638

2.  Feasibility study on computer-aided screening for diabetic retinopathy.

Authors:  Apichart Singalavanija; Jirayuth Supokavej; Parapan Bamroongsuk; Chanjira Sinthanayothin; Suthee Phoojaruenchanachai; Viravud Kongbunkiat
Journal:  Jpn J Ophthalmol       Date:  2006 Jul-Aug       Impact factor: 2.447

3.  Telemedicine and Diabetic Retinopathy: Review of Published Screening Programs.

Authors:  Kevin Tozer; Maria A Woodward; Paula A Newman-Casey
Journal:  J Endocrinol Diabetes       Date:  2015-11-11

4.  Diabetic background retinopathy is associated with impaired coronary vasoreactivity in people with Type 1 diabetes.

Authors:  J Sundell; T Janatuinen; T Rönnemaa; O T Raitakari; J Toikka; P Nuutila; J Knuuti
Journal:  Diabetologia       Date:  2004-04       Impact factor: 10.122

5.  Accuracy of digital images for assessing diabetic retinopathy.

Authors:  Hyungjin Myra Kim; Julie C Lowery; Ronald Kurtz
Journal:  J Diabetes Sci Technol       Date:  2007-07

6.  Assessment of colour vision as a screening test for sight threatening diabetic retinopathy before loss of vision.

Authors:  G L Ong; L G Ripley; R S B Newsom; A G Casswell
Journal:  Br J Ophthalmol       Date:  2003-06       Impact factor: 4.638

7.  Grader agreement, and sensitivity and specificity of digital photography in a community optometry-based diabetic eye screening program.

Authors:  Luckni Sellahewa; Craig Simpson; Prema Maharajan; John Duffy; Iskandar Idris
Journal:  Clin Ophthalmol       Date:  2014-07-17

Review 8.  Telemedicine in diabetic retinopathy screening in India.

Authors:  Kim Ramasamy; Chitaranjan Mishra; Naresh B Kannan; P Namperumalsamy; Sagnik Sen
Journal:  Indian J Ophthalmol       Date:  2021-11       Impact factor: 1.848

9.  Cost-effectiveness and diagnostic accuracy of telemedicine in macular disease and diabetic retinopathy: A systematic review and meta-analysis.

Authors:  Waqas Ullah; Sana Khan Pathan; Ankur Panchal; Swapna Anandan; Kaiser Saleem; Yasar Sattar; Ejaz Ahmad; Maryam Mukhtar; Haq Nawaz
Journal:  Medicine (Baltimore)       Date:  2020-06-19       Impact factor: 1.817

10.  Image quality and diagnostic accuracy of a handheld nonmydriatic fundus camera: Feasibility of a telemedical approach in screening retinal diseases.

Authors:  Tai-Chi Lin; Yueh-Hua Chiang; Chih-Lu Hsu; Long-Sheng Liao; Yi-Ying Chen; Shih-Jen Chen
Journal:  J Chin Med Assoc       Date:  2020-10       Impact factor: 3.396

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