scholarly journals Verification of 3D-printed universal smartphone retinal imaging adapter against conventional fundus camera imaging for diabetic retinopathy screening

2020 ◽  
Vol 2 (3) ◽  
pp. 190-202
Author(s):  
Yuen Keat Gan ◽  
Amir Samsudin
Keyword(s):  
Diabetic Retinopathy ◽  
Retinal Imaging ◽  
Cross Sectional Study ◽  
Kappa Statistics ◽  
Cross Sectional ◽  
Fundus Camera ◽  
Diabetic Retinopathy Screening ◽  
Camera Imaging ◽  
Institutional Review ◽  
Kappa Agreement

Introduction: Screening for diabetic retinopathy (DR) is critical in preventing visual loss. However, current tools are expensive, bulky and sensitive, thus limiting screening coverage, especially in developing areas such as the interior of Borneo. Smartphone-assisted devices may provide an alternative and this study seeks to determine the level of agreement between a smartphone retinal imaging adapter (SRIA) against conventional ones. Materials and methods: This was a cross-sectional study with Institutional Review Board approval from the Medical Ethics Board of University of Malaya Medical Centre. A total of 284 eyes from 142 patients included underwent retinal imaging using a conventional fundus camera and the SRIA. The images were graded according to Early Treatment of Diabetic Retinopathy Study (ETDRS) classification. Agreement between both modalities was calculated using Cohen’s Kappa statistics. Results: The Kappa agreement between SRIA and conventional fundus imaging in grading individual ETDRS stages stood at 0.648 (p < 0.001), achieving up to 0.752 (p < 0.001) when differentiating between no DR, non-proliferative DR, and proliferative DR. Conclusion: DR grading SRIA and conventional fundus camera imaging were comparable. SRIA can be useful in eye screenings but still needs improvement.

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

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Pia Roser ◽  
Hannes Kalscheuer ◽  
Jan B. Groener ◽  
Daniel Lehnhoff ◽  
Roman Klein ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Outpatient Clinic ◽  
Microvascular Complications ◽  
Diabetic Polyneuropathy ◽  
Cross Sectional Study ◽  
Newly Diagnosed ◽  
Cross Sectional ◽  
Fundus Camera ◽  
Diabetic Retinopathy Screening ◽  
Single Field

Objective. To evaluate the effect of onsite screening with a nonmydriatic, digital fundus camera for diabetic retinopathy (DR) at a diabetes outpatient clinic.Research Design and Methods. This cross-sectional study included 502 patients, 112 with type 1 and 390 with type 2 diabetes. Patients attended screenings for microvascular complications, including diabetic nephropathy (DN), diabetic polyneuropathy (DP), and DR. Single-field retinal imaging with a digital, nonmydriatic fundus camera was used to assess DR. Prevalence and incidence of microvascular complications were analyzed and the ratio of newly diagnosed to preexisting complications for all entities was calculated in order to differentiate natural progress from missed DRs.Results. For both types of diabetes, prevalence of DR was 25.0% (n=126) and incidence 6.4% (n=32) (T1DM versus T2DM: prevalence: 35.7% versus 22.1%, incidence 5.4% versus 6.7%). 25.4% of all DRs were newly diagnosed. Furthermore, the ratio of newly diagnosed to preexisting DR was higher than those for DN (p=0.12) and DP (p=0.03) representing at least 13 patients with missed DR.Conclusions. The results indicate that implementing nonmydriatic, digital fundus imaging in a diabetes outpatient clinic can contribute to improved early diagnosis of diabetic retinopathy.

scholarly journals Usefulness of corneal esthesiometry for screening diabetic retinopathy

2003 ◽  
Vol 37 (5) ◽  
pp. 609-615 ◽  
Author(s):  
Lênio Souza Alvarenga ◽  
Elisabeth Nogueira Martins ◽  
Gustavo Teixeira Grottone ◽  
Paulo Henrique Ávila Morales ◽  
Augusto Paranhos Jr ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Roc Curve ◽  
Operating Characteristic ◽  
Screening Program ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Diabetic Retinopathy Screening ◽  
The City ◽  
Retinopathy Screening

OBJECTIVE: To assess the usefulness of corneal esthesiometry for screening diabetic retinopathy. METHODS: A cross-sectional study was carried out comprising 575 patients attending a diabetic retinopathy-screening program in the city of São Paulo. Corneal esthesiometry was assessed with the Cochet-Bonnet esthesiometer. The presence of diabetic retinopathy was detected with indirect fundoscopy. The validity of corneal esthesiometry in identifying diabetic retinopathy was evaluated by the Receiver Operating Characteristic (ROC) curve. RESULTS: Sensitivity and specificity analyses of the corneal esthesiometry for detecting the stages of diabetic retinopathy using different cut-offs showed values less than 80%. The best indices (72.2% sensitivity and 57.4% specificity) were obtained for the identification of patients with proliferative diabetic retinopathy. CONCLUSIONS: In the study series, corneal esthesiometry was not a good indicator of diabetic retinopathy.

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

2020 ◽  
pp. bjophthalmol-2019-315269 ◽  
Author(s):  
Abraham Olvera-Barrios ◽  
Tjebo FC Heeren ◽  
Konstantinos Balaskas ◽  
Ryan Chambers ◽  
Louis Bolter ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Kappa Statistic ◽  
Cross Sectional Study ◽  
Fundus Photography ◽  
Diabetic Patients ◽  
Wide Field ◽  
Cross Sectional ◽  
Imaging Protocol ◽  
Diabetic Retinopathy Screening ◽  
Diabetic Eye 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 single 60-degree horizontal field of view (FOV) and the other, a standard 45-degree FOV.MethodsCross-sectional study which included 1257 diabetic patients aged ≥18 years attending their DR screening visit in the English National Diabetic Eye Screening Programme (NDESP). Patients with maculopathy (M1), preproliferative (R2) or proliferative DR (R3) were referred to an ophthalmologist. Patients with ungradable images (U) are examined in a slit-lamp biomicroscopy clinic. Image acquisition under mydriasis of two images per eye was carried out with the EIDON and with standard fundus cameras. Evaluation was performed by masked graders.ResultsAgreement after consensus with kappa statistic was 0.89 (quadratic weights (95% CI 0.87 to 0.92)) for NDESP severity grade, 0.88 (quadratic weights (95% CI 0.82 to 0.94)) for referable disease and 0.92 (linear weights (95% CI 0.88 to 0.95)) for maculopathy. The EIDON detected clinically relevant DR features outside the 45-degree fields in two patients (0.16%): one with intraretinal microvascular abnormalities (IRMAs) and one with neovascularisation. In eight patients (0.64%), the EIDON allowed DR feature visualisation inside the 45-degree fields that were not identified in the NDESP images: three patients (0.24%) with IRMA and five patients (0.40%) with maculopathy. The rates of ungradable encounters were 12 (0.95%) and 13 (1.03%) with the EIDON and NDESP images, respectively.ConclusionThe EIDON identifies a small number of additional patients with referable disease which are not detected with standard imaging. This is due to the EIDON finding disease outside the standard FOV and greater clarity finding disease within the standard FOV.

scholarly journals Identification of Diabetic Retinopathy through Machine Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Malik Bader Alazzam ◽  
Fawaz Alassery ◽  
Ahmed Almulihi
Keyword(s):  
Machine Learning ◽  
Diabetic Retinopathy ◽  
Diagnostic Accuracy ◽  
Cross Sectional Study ◽  
Disease Classification ◽  
Ophthalmological Examination ◽  
Restricted Boltzmann Machines ◽  
Cross Sectional ◽  
Diabetic Retinopathy Screening

A cross-sectional study of patients with suspected diabetic retinopathy (DR) who had an ophthalmological examination and a retinal scan is the focus of this research. Specialized retinal images were analyzed and classified using OPF and RBM models (restricted Boltzmann machines). Classification of retinographs was based on the presence or absence of disease-related retinopathy (DR). The RBM and OPF models extracted 500 and 1000 characteristics from the images for disease classification after the system training phase for the recognition of retinopathy and normality patterns. There were a total of fifteen different experiment series, each with a repetition rate of 30 cycles. The study included 73 diabetics (a total of 122 eyes), with 50.7% of them being men and 49.3% being women. The population was on the older side, at 59.7 years old on average. The RBM-1000 had the highest overall diagnostic accuracy (89.47) of any of the devices evaluated. The RBM-500 had a better autodetection system for DR signals in fundus images than the competition (100% sensitivity). In terms of specificity, RBM-1000 and OPF-1000 correctly identified all of the images that lacked DR signs. In particular, the RBM model of machine learning automatic disease detection performed well in terms of diagnostic accuracy, sensitivity, and application in diabetic retinopathy screening.

scholarly journals Advances in Retinal Imaging and Applications in Diabetic Retinopathy Screening: A Review

2018 ◽  
Vol 7 (2) ◽  
pp. 333-346 ◽  
Author(s):  
Beau J. Fenner ◽  
Raymond L. M. Wong ◽  
Wai-Ching Lam ◽  
Gavin S. W. Tan ◽  
Gemmy C. M. Cheung
Keyword(s):  
Diabetic Retinopathy ◽  
Retinal Imaging ◽  
Diabetic Retinopathy Screening ◽  
Retinopathy Screening

scholarly journals Association between Diabetic Retinopathy and Chronic Periodontitis—A Cross-Sectional Study

2018 ◽  
Vol 6 (4) ◽  
pp. 104 ◽  
Author(s):  
Veena H. R. ◽  
Sribhargava Natesh ◽  
Sudhir Patil
Keyword(s):  
Diabetic Retinopathy ◽  
Serum Creatinine ◽  
Glycated Haemoglobin ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Age Group ◽  
Sectional Study ◽  
Cross Sectional ◽  
Chronic Inflammatory Condition ◽  
The Mean

Periodontal disease (PD), a chronic inflammatory condition characterized by destruction of the supporting tissues of the teeth, increases the risk of complications in diabetics. Diabetic retinopathy (DR) is a microvascular complication of prolonged hyperglycaemia. There appears to be a similarity in the pathogenesis of DR and PD. Hence, this study aimed to investigate the association, if any, between DR and PD, correlate the severity of DR with the severity of PD, and investigate the association between glycated haemoglobin (HbA1c), serum creatinine and periodontal variables. The periodontal status of 200 adult diabetic patients in the age group of 30–65 years with varying severity of DR was assessed. Evaluation of the severity of PD was assessed by recording clinical parameters. Haematological investigations including glycated haemoglobin (HbA1c) and serum creatinine were estimated before the initiation of treatment for DR. A statistically significant association between the mean duration of diabetes mellitus (DM) and the severity of DR and PD was found. The severity of PD was directly correlated with the severity of DR. There was a significant association between the levels of HbA1c and serum creatinine and severity of DR and PD. There could be a plausible relationship between DR and PD. Further prospective studies on a larger population with longer follow-ups are required to ascertain whether PD and its severity directly affect the progression and severity of DR.

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