Literature DB >> 35906419

Validation of diagnostic accuracy of retinal image grading by trained non-ophthalmologist grader for detecting diabetic retinopathy and diabetic macular edema.

Sanil Joseph1,2,3, Renu P Rajan4, Balagiri Sundar4, Soundarya Venkatachalam1, John H Kempen5,6,7, Ramasamy Kim8.   

Abstract

PURPOSE: To validate the fundus image grading results by a trained grader (Non-ophthalmologist) and an ophthalmologist grader for detecting diabetic retinopathy (DR) and diabetic macular oedema (DMO) against fundus examination by a retina specialist (gold standard).
METHODS: A prospective diagnostic accuracy study was conducted using 2002 non-mydriatic colour fundus images from 1001 patients aged ≥40 years. Using the Aravind Diabetic Retinopathy Evaluation Software (ADRES) images were graded by both a trained non-ophthalmologist grader (grader-1) and an ophthalmologist (grader-2). Sensitivity, specificity, positive predictive value and negative predictive value were calculated for grader-1 and grader-2 against the grading results by an independent retina specialist who performed dilated fundus examination for every study participant.
RESULTS: Out of 1001 patients included, 42% were women and the mean ± (SD) age was 55.8 (8.39) years. For moderate or worse DR, the sensitivity and specificity for grading by grader-1 with respect to the gold standard was 66.9% and 91.0% respectively and the same for the ophthalmologist was 83.6% and 80.3% respectively. For referable DMO, grader-1 and grader-2 had a sensitivity of 74.6% and 85.6% respectively and a specificity of 83.7% and 79.8% respectively.
CONCLUSIONS: Our results demonstrate good level of accuracy for the fundus image grading performed by a trained non-ophthalmologist which was comparable with the grading by an ophthalmologist. Engaging trained non-ophthalmologists potentially can enhance the efficiency of DR diagnosis using fundus images. Further study with multiple non-ophthalmologist graders is needed to verify the results and strategies to improve agreement for DMO diagnosis are needed.
© 2022. The Author(s), under exclusive licence to The Royal College of Ophthalmologists.

Entities:  

Year:  2022        PMID: 35906419     DOI: 10.1038/s41433-022-02190-4

Source DB:  PubMed          Journal:  Eye (Lond)        ISSN: 0950-222X            Impact factor:   4.456


  20 in total

1.  Prevalence of diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) in urban and rural India: phase I results of the Indian Council of Medical Research-INdia DIABetes (ICMR-INDIAB) study.

Authors:  R M Anjana; R Pradeepa; M Deepa; M Datta; V Sudha; R Unnikrishnan; A Bhansali; S R Joshi; P P Joshi; C S Yajnik; V K Dhandhania; L M Nath; A K Das; P V Rao; S V Madhu; D K Shukla; T Kaur; M Priya; E Nirmal; S J Parvathi; S Subhashini; R Subashini; M K Ali; V Mohan
Journal:  Diabetologia       Date:  2011-09-30       Impact factor: 10.122

Review 2.  Current state of care for diabetic retinopathy in India.

Authors:  Kim Ramasamy; Rajiv Raman; Manish Tandon
Journal:  Curr Diab Rep       Date:  2013-08       Impact factor: 4.810

Review 3.  Prevalence of diabetic retinopathy in various ethnic groups: a worldwide perspective.

Authors:  Sobha Sivaprasad; Bhaskar Gupta; Roxanne Crosby-Nwaobi; Jennifer Evans
Journal:  Surv Ophthalmol       Date:  2012-04-28       Impact factor: 6.048

4.  Telemedicine-based digital retinal imaging vs standard ophthalmologic evaluation for the assessment of diabetic retinopathy.

Authors:  Zhijian Li; Chengqing Wu; J Nwando Olayiwola; Daniel St Hilaire; John J Huang
Journal:  Conn Med       Date:  2012-02

5.  Prevalence and risk factors for diabetic retinopathy: a population-based assessment from Theni District, south India.

Authors:  P Namperumalsamy; R Kim; T P Vignesh; N Nithya; J Royes; T Gijo; R D Thulasiraj; V Vijayakumar
Journal:  Br J Ophthalmol       Date:  2008-12-17       Impact factor: 4.638

6.  Barriers to and enablers of attendance at diabetic retinopathy screening experienced by immigrants to Canada from multiple cultural and linguistic minority groups.

Authors:  Zack van Allen; Maman Joyce Dogba; Michael H Brent; Catherine Bach; Jeremy M Grimshaw; Noah M Ivers; Xiaoqin Wang; Nicola McCleary; Sarah Asad; Zahraa Chorghay; Hina Hakim; Olivera Sutakovic; Olivia Drescher; France Légaré; Holly O Witteman; Mary Zettl; Janet Squires; Marie-Claude Tremblay; Arshad Randhawa; Gladys Lopez; Afifa Ben Guiza; Justin Presseau
Journal:  Diabet Med       Date:  2020-11-11       Impact factor: 4.359

Review 7.  The English National Screening Programme for diabetic retinopathy 2003-2016.

Authors:  Peter H Scanlon
Journal:  Acta Diabetol       Date:  2017-02-22       Impact factor: 4.280

8.  Systematic review on barriers and enablers for access to diabetic retinopathy screening services in different income settings.

Authors:  Mapa Mudiyanselage Prabhath Nishantha Piyasena; Gudlavalleti Venkata S Murthy; Jennifer L Y Yip; Clare Gilbert; Maria Zuurmond; Tunde Peto; Iris Gordon; Suwin Hewage; Sureshkumar Kamalakannan
Journal:  PLoS One       Date:  2019-04-23       Impact factor: 3.240

9.  Patient and provider perspectives on barriers to screening for diabetic retinopathy: an exploratory study from southern India.

Authors:  Shuba Kumar; Geetha Kumar; Saranya Velu; Shahina Pardhan; Sobha Sivaprasad; Paisan Ruamviboonsuk; Rajiv Raman
Journal:  BMJ Open       Date:  2020-12-10       Impact factor: 2.692

10.  Forecasting the prevalence of overweight and obesity in India to 2040.

Authors:  Shammi Luhar; Ian M Timæus; Rebecca Jones; Solveig Cunningham; Shivani A Patel; Sanjay Kinra; Lynda Clarke; Rein Houben
Journal:  PLoS One       Date:  2020-02-24       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.