National Diabetic Eye Screening Programme Research Articles

Present and future screening programs for diabetic retinopathy: a narrative review.

Diabetes is a prevalent global concern, with an estimated 12% of the global adult population affected by 2045. Diabetic retinopathy (DR), a sight-threatening complication, has spurred diverse screening approaches worldwide due to advances in DR knowledge, rapid technological developments in retinal imaging and variations in healthcare resources.Many high income countries have fully implemented or are on the verge of completing a national Diabetic Eye Screening Programme (DESP). Although there have been some improvements in DR screening in Africa, Asia, and American countries further progress is needed. In low-income countries, only one out of 29, partially implemented a DESP, while 21 out of 50 lower-middle-income countries have started the DR policy cycle. Among upper-middle-income countries, a third of 59 nations have advanced in DR agenda-setting, with five having a comprehensive national DESP and 11 in the early stages of implementation.Many nations use 2-4 fields fundus images, proven effective with 80-98% sensitivity and 86-100% specificity compared to the traditional seven-field evaluation for DR. A cell phone based screening with a hand held retinal camera presents a potential low-cost alternative as imaging device. While this method in low-resource settings may not entirely match the sensitivity and specificity of seven-field stereoscopic photography, positive outcomes are observed.Individualized DR screening intervals are the standard in many high-resource nations. In countries that lacks a national DESP and resources, screening are more sporadic, i.e. screening intervals are not evidence-based and often less frequently, which can lead to late recognition of treatment required DR.The rising global prevalence of DR poses an economic challenge to nationwide screening programs AI-algorithms have showed high sensitivity and specificity for detection of DR and could provide a promising solution for the future screening burden.In summary, this narrative review enlightens on the epidemiology of DR and the necessity for effective DR screening programs. Worldwide evolution in existing approaches for DR screening has showed promising results but has also revealed limitations. Technological advancements, such as handheld imaging devices, tele ophthalmology and artificial intelligence enhance cost-effectiveness, but also the accessibility of DR screening in countries with low resources or where distance to or a shortage of ophthalmologists exists.

Performance of an artificial intelligence automated system for diabetic eye screening in a large English population.

A diabetic eye screening programme has huge value in reducing avoidable sight loss by identifying diabetic retinopathy at a stage when it can be treated. Artificial intelligence automated systems can be used for diabetic eye screening but are not employed in the national English Diabetic Eye Screening Programme. The aim was to report the performance of a commercially available deep-learning artificial intelligence software in a large English population. 9817 anonymised image sets from 10,000 consecutive diabetic eye screening episodes were presented to an artificial intelligence software. The sensitivity and specificity of the artificial intelligence system for detecting diabetic retinopathy were determined using the diabetic eye screening programme manual grade according to national protocols as the reference standard. For no diabetic retinopathy versus any diabetic retinopathy, the sensitivity of the artificial intelligence grading system was 69.7% and specificity 92.2%. The performance of the artificial intelligence system was superior for no or mild diabetic retinopathy versus significant or referrable diabetic retinopathy with a sensitivity of 95.4% and specificity of 92.0%. No cases were identified in which the artificial intelligence grade had missed significant diabetic retinopathy. The performance of a commercially available deep-learning artificial intelligence system for identifying diabetic retinopathy in an English national Diabetic Eye Screening Programme is presented. Using the pre-defined settings artificial intelligence performance was highest when identifying diabetic retinopathy which requires an action by the screening programme.

Perceived barriers and enablers to the provision of diabetic retinopathy screening for young adults: a cross-sectional survey of healthcare professionals working in the UK National Diabetic Eye Screening Programme

IntroductionDiabetic retinopathy screening (DRS) attendance in young adults is consistently below recommended levels. The aim of this study was to conduct a survey of screening providers in the UK Diabetic...

Widefield imaging with Clarus fundus camera vs slit lamp fundus examination in assessing patients referred from the National Health Service diabetic retinopathy screening programme.

ObjectivesTo compare diabetic retinopathy (DR) grading and management plan between virtual review using widefield Clarus imaging and macular optical coherence tomography (OCT) versus slit lamp clinical examination and macular OCT.MethodNew referrals over 3 months from the National Diabetic Eye Screening programme (DESP) were screened. Patients who had both Clarus widefield imaging and macular OCT were included. All patients underwent slit lamp examination in clinic. Data obtained from electronic patient records included referral reason, DR grading and management plan. Two graders retrospectively reviewed imaging and formulated a management plan blinded to results from patients’ clinic visit. Results from virtual examination were compared with those from slit lamp examination.ResultsOne-hundred and two eyes of 51 patients were assessed. 11 fundus photos from 7 patients and 15 fundus photos from 10 patients were deemed inadequate by grader G1 and G2, respectively. Eighteen (35%) patients and 11 (22%) patients from virtual assessment by G1 and G2, respectively were found to need a face a face appointment to aid diagnosis. Compared to slit lamp examination, 15% and 7.5% of patients from G1 and G2’s virtual assessment respectively had different proposed management plan. Agreement of DR grading between both virtual graders and slit lamp examination was fair (Kappa’s coefficient = 0.56). One case of slit lamp noted retinal neovascularization, which was graded as background retinopathy by DESP was also graded as such on virtual assessment.ConclusionWidefield Clarus and OCT imaging allowed two-thirds of DESP referrals to be safely managed virtually.

Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images

BackgroundPhotographic diabetic retinopathy screening requires labour-intensive grading of retinal images by humans. Automated retinal image analysis software (ARIAS) could provide an alternative to human grading. We compare the performance of...

Choroidal Thickness in Diabetes and Diabetic Retinopathy: A Swept Source OCT Study.

PurposePrevious studies on the association between choroidal thickness (CT) and severity of diabetic retinopathy (DR) gave conflicting results. The aim of this study was to evaluate the CT changes in diabetic patients and associated factors in a large sample of Chinese patients with diabetes.MethodsType 2 diabetes mellitus patients without history of ocular treatment were recruited from the community health system in Guangzhou, China. The swept source OCT instrument was used to obtain high-definition retina and choroid images. The diabetic retinopathy (DR) status was graded based on the guidelines of the United Kingdom National Diabetic Eye Screening Programme. Univariate and multivariate linear regression analyses was used to explore the association of CT with DR severity, diabetic macular edema (DME), hemoglobin A1c, and vision function.ResultsA total of 1347 patients were included in the final analysis. After adjusting for other factors, the patients with stage R3 DR had significantly thinner CT (β = –29.1 µm, 95% CI –53.8 to –4.4, P = 0.021) in comparison in those with R0. After adjusting for other factors, the CTs were thicker than those in R0 patients with difference of 15.6 µm (95% CI 4.3-26.9, P = 0.007) for outer nasal sector, 15.7 µm (95% CI 3.8-25.5, P = 0.008) for outer inferior, and 12.2 µm (95% CI 0.4-24.0, P = 0.042) for inner inferior sector. The presence of DME and hemoglobin A1c levels did not significantly affect average CT. Higher average CT was significantly associated with better best corrected visual acuity, with a –0.02 LogMAR unit per 100 µm increase in average CT (95% CI –0.03 to –0.01, P < 0.001).ConclusionsCT increased in the early stage of DR, and further decreased with DR progression. DME was not significantly associated with CT. These findings provide more clues to suggest that choroid alterations play a role in the pathogenesis of DR.

Comparison of true-colour wide-field confocal scanner imaging with standard fundus photography for diabetic retinopathy screening

BackgroundScreening of diabetic retinopathy (DR) reduces blindness by early identification of retinopathy. This study compares DR grades derived from a two-field imaging protocol from two imaging platforms, one providing a...

Accuracy of trained rural ophthalmologists versus non-medical image graders in the diagnosis of diabetic retinopathy in rural China

Background/aimsTo determine the diagnostic accuracy of trained rural ophthalmologists and non-medical image graders in the assessment of diabetic retinopathy (DR) in rural China.MethodsConsecutive patients with diabetes mellitus were examined from...

Diabetes – 2 The single common grading pathway, grading overview and non-sight threatening disease

Continuing our series on diabetic retinopathy, Peter Mitchell offers an overview of the Grading Scheme used in English National Diabetic Eye Screening Programme and discusses the management of non-sight threatening diabetes eye disease detected during the grading process based on the final outcome grade.

Diabetes – part 1 - An overview of the NHS Diabetic Eye Screening (DES) programme

Peter Mitchell discuss the principles and protocols of the English National Diabetic Eye Screening Programme and examines its impact upon the detection and management of diabetes eye disease and how appropriate referral when sight-threatening eye disease is detected can prevent sight loss.