Literature DB >> 23192497

Accuracy of diabetic retinopathy screening by trained non-physician graders using non-mydriatic fundus camera.

Mayuri Bhargava1, Carol Yim-Lui Cheung, Charumathi Sabanayagam, Ryo Kawasaki, C Alex Harper, Ecosse L Lamoureux, Wai Leng Chow, Adrian Ee, Haslina Hamzah, Maisie Ho, Wanling Wong, Tien Yin Wong.   

Abstract

INTRODUCTION: We compared the agreement of diabetic retinopathy (DR) assessment between trained non-physician graders (NPGs) and family physicians (FPs) in a primary healthcare setting.
METHODS: This was a cross-sectional study conducted retrospectively over a period of one month. The participants were diabetic patients from two primary healthcare clinics (polyclinics) in Singapore. Single-field digital retinal images were obtained using a non-mydriatic 45-degree fundus camera. Retinal images were graded for the presence or absence of DR by FPs at the polyclinics and by NPGs at a central ocular grading centre. The FPs' and NPGs' assessments of DR were compared with readings by a single retinal specialist (reference standard).
RESULTS: A total of 367 diabetic patients (706 eyes) were included in the study. The mean age of the patients was 63 years, and the majority were Chinese (83.8%). For DR assessment, the agreement between NPGs and the retinal specialist was substantial (ĸ = 0.66), while the agreement between FPs and the retinal specialist was only fair (ĸ = 0.40). NPGs' assessment showed higher sensitivity (70% vs. 45%) and comparable specificity (94% vs. 92%) as compared to FPs' assessment. The area under the receiver operating characteristic curve of NPGs' assessment of DR was greater than that of the FPs' (0.82 vs. 0.69, p < 0.001).
CONCLUSION: This study has demonstrated that trained NPGs are able to provide good detection of DR and maculopathy from fundus photographs. Our findings suggest that DR screening by trained NPGs may provide a costeffective alternative to FPs.

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Year:  2012        PMID: 23192497

Source DB:  PubMed          Journal:  Singapore Med J        ISSN: 0037-5675            Impact factor:   1.858


  25 in total

1.  Screening for Diabetic Retinopathy Using a Portable, Noncontact, Nonmydriatic Handheld Retinal Camera.

Authors:  Wenlan Zhang; Peter Nicholas; Stefanie Gail Schuman; Michael John Allingham; Ambar Faridi; Tushar Suthar; Scott William Cousins; Sasapin Grace Prakalapakorn
Journal:  J Diabetes Sci Technol       Date:  2016-07-11

Review 2.  Clinical Components of Telemedicine Programs for Diabetic Retinopathy.

Authors:  Mark B Horton; Paolo S Silva; Jerry D Cavallerano; Lloyd Paul Aiello
Journal:  Curr Diab Rep       Date:  2016-12       Impact factor: 4.810

Review 3.  The Role of Retinal Imaging and Portable Screening Devices in Tele-ophthalmology Applications for Diabetic Retinopathy Management.

Authors:  Delia Cabrera DeBuc
Journal:  Curr Diab Rep       Date:  2016-12       Impact factor: 4.810

4.  Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.

Authors:  Daniel Shu Wei Ting; Carol Yim-Lui Cheung; Gilbert Lim; Gavin Siew Wei Tan; Nguyen D Quang; Alfred Gan; Haslina Hamzah; Renata Garcia-Franco; Ian Yew San Yeo; Shu Yen Lee; Edmund Yick Mun Wong; Charumathi Sabanayagam; Mani Baskaran; Farah Ibrahim; Ngiap Chuan Tan; Eric A Finkelstein; Ecosse L Lamoureux; Ian Y Wong; Neil M Bressler; Sobha Sivaprasad; Rohit Varma; Jost B Jonas; Ming Guang He; Ching-Yu Cheng; Gemmy Chui Ming Cheung; Tin Aung; Wynne Hsu; Mong Li Lee; Tien Yin Wong
Journal:  JAMA       Date:  2017-12-12       Impact factor: 56.272

5.  Teleophthalmology in Diabetic Retinopathy.

Authors:  Thandalam Sundararajan Surendran; Rajiv Raman
Journal:  J Diabetes Sci Technol       Date:  2014-03-17

6.  Non-mydriatic ocular fundus photography and telemedicine: past, present, and future.

Authors:  Beau B Bruce; Nancy J Newman; Mario A Pérez; Valérie Biousse
Journal:  Neuroophthalmology       Date:  2013-04-01

Review 7.  Advances in diabetic retinopathy.

Authors:  Prakashchand Agarwal; Ankita Jindal; V K Saini; Sushil Jindal
Journal:  Indian J Endocrinol Metab       Date:  2014-11

8.  Diabetic Retinopathy Screening Ratio Is Improved When Using a Digital, Nonmydriatic Fundus Camera Onsite in a Diabetes Outpatient Clinic.

Authors:  Pia Roser; Hannes Kalscheuer; Jan B Groener; Daniel Lehnhoff; Roman Klein; Gerd U Auffarth; Peter P Nawroth; Florian Schuett; Gottfried Rudofsky
Journal:  J Diabetes Res       Date:  2016-01-21       Impact factor: 4.011

9.  The Pre-Diabetes Interventions and Continued Tracking to Ease-out Diabetes (Pre-DICTED) program: study protocol for a randomized controlled trial.

Authors:  Kar-Fu Yeung; Mihir Gandhi; Amanda Yun Rui Lam; Selly Julianty; Alvin Yeow Meng Chia; Gilbert Choon Seng Tan; Su-Yen Goh; Emily Tse Lin Ho; Angela Fang Yung Koh; Gavin Siew Wei Tan; Eugene Jin Wen Shum; Eric A Finkelstein; Tazeen H Jafar; Yee Leong Teoh; Rob M van Dam; Clare Whitton; Julian Thumboo; Yong Mong Bee
Journal:  Trials       Date:  2021-08-06       Impact factor: 2.279

10.  An Innovative Australian Outreach Model of Diabetic Retinopathy Screening in Remote Communities.

Authors:  Nicola M Glasson; Lisa J Crossland; Sarah L Larkins
Journal:  J Diabetes Res       Date:  2015-12-20       Impact factor: 4.011

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