scholarly journals Wide-field imaging and OCT vs clinical evaluation of patients referred from diabetic retinopathy screening

Eye ◽  
2015 ◽  
Vol 29 (3) ◽  
pp. 416-423 ◽  
Author(s):  
V Manjunath ◽  
V Papastavrou ◽  
D H W Steel ◽  
G Menon ◽  
R Taylor ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Clinical Evaluation ◽  
Wide Field ◽  
Diabetic Retinopathy Screening ◽  
Field Imaging ◽  
Wide Field Imaging ◽  
Retinopathy Screening

scholarly journals Wide-field imaging in proliferative diabetic retinopathy

2019 ◽  
Vol 5 (S1) ◽  
Author(s):  
T. Y. Alvin Liu ◽  
J. Fernando Arevalo
Keyword(s):  
Diabetic Retinopathy ◽  
Proliferative Diabetic Retinopathy ◽  
Vision Loss ◽  
Current Data ◽  
Panretinal Photocoagulation ◽  
Main Body ◽  
Wide Field ◽  
Fundus Imaging ◽  
Field Imaging ◽  
Wide Field Imaging

Abstract Background Diabetic retinopathy (DR) is one of the leading causes of vision loss worldwide. For decades, 7-field 30-degree fundus imaging has been the gold standard for DR classification. The aim of this review article is to discuss how the advent of ultra-wide-field (UWF) fundus imaging has changed the management of proliferative diabetic retinopathy (PDR). Main body Current data suggests that UWF imaging, as compared to conventional Early Treatment Diabetic Retinopathy Study (ETDRS) fields, detects additional and more extensive PDR pathologies. DR lesions, captured by UWF imaging outside of ETDRS fields, likely carry prognostication value. Conclusion UWF imaging represents a major advancement in the detection and management of DR. It remains unclear whether, when and how patients, with PDR changes only peripheral to standard ETDRS fields, should be treated. A larger, prospective, randomized clinical trial is also needed to compare the efficacy of UWF image-guided targeted laser photocoagulation with that of conventional panretinal photocoagulation.

Screening diabetic retinopathy using a wide field imaging system

2008 ◽  
Vol 86 ◽  
pp. 0-0
Author(s):  
C ARNDT ◽  
N NABHOLZ ◽  
E BOUSQUET ◽  
F NGUYEN
Keyword(s):  
Diabetic Retinopathy ◽  
Imaging System ◽  
Wide Field ◽  
Field Imaging ◽  
Wide Field Imaging

scholarly journals Ultra-wide-field imaging in diabetic retinopathy

2017 ◽  
Vol 139 ◽  
pp. 187-190 ◽  
Author(s):  
Khalil Ghasemi Falavarjani ◽  
Irena Tsui ◽  
Srinivas R. Sadda
Keyword(s):  
Diabetic Retinopathy ◽  
Wide Field ◽  
Field Imaging ◽  
Wide Field Imaging

scholarly journals Ultra-wide-field imaging in diabetic retinopathy; an overview

2016 ◽  
Vol 28 (2) ◽  
pp. 57-60 ◽  
Author(s):  
Khalil Ghasemi Falavarjani ◽  
Kang Wang ◽  
Joobin Khadamy ◽  
Srinivas R. Sadda
Keyword(s):  
Diabetic Retinopathy ◽  
Wide Field ◽  
Field Imaging ◽  
Wide Field Imaging

scholarly journals Imaging Modalities Employed in Diabetic Retinopathy Screening: A Review and Meta-Analysis

Diagnostics ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1802
Author(s):  
Piotr Kanclerz ◽  
Raimo Tuuminen ◽  
Ramin Khoramnia
Keyword(s):  
Diabetic Retinopathy ◽  
Failure Rate ◽  
Meta Analysis ◽  
Imaging Modalities ◽  
Fundus Photography ◽  
Technical Failure ◽  
Diabetic Retinopathy Screening ◽  
Field Imaging ◽  
Ultrawide Field Imaging ◽  
Retinopathy Screening

Introduction: Urbanization has caused dramatic changes in lifestyle, and these rapid transitions have led to an increased risk of noncommunicable diseases, such as type 2 diabetes. In terms of cost-effectiveness, screening for diabetic retinopathy is a critical aspect in diabetes management. The aim of this study was to review the imaging modalities employed for retinal examination in diabetic retinopathy screening. Methods: The PubMed and Web of Science databases were the main sources used to investigate the medical literature. An extensive search was performed to identify relevant articles concerning “imaging”, “diabetic retinopathy” and “screening” up to 1 June 2021. Imaging techniques were divided into the following: (i) mydriatic fundus photography, (ii) non-mydriatic fundus photography, (iii) smartphone-based imaging, and (iv) ultrawide-field imaging. A meta-analysis was performed to analyze the performance and technical failure rate of each method. Results: The technical failure rates for mydriatic and non-mydriatic digital fundus photography, smartphone-based and ultrawide-field imaging were 3.4% (95% CI: 2.3–4.6%), 12.1% (95% CI: 5.4–18.7%), 5.3% (95% CI: 1.5–9.0%) and 2.2% (95% CI: 0.3–4.0%), respectively. The rate was significantly different between all analyzed techniques (p < 0.001), and the overall failure rate was 6.6% (4.9–8.3%; I2 = 97.2%). The publication bias factor for smartphone-based imaging was significantly higher than for mydriatic digital fundus photography and non-mydriatic digital fundus photography (b = −8.61, b = −2.59 and b = −7.03, respectively; p < 0.001). Ultrawide-field imaging studies were excluded from the final sensitivity/specificity analysis, as the total number of patients included was too small. Conclusions: Regardless of the type of the device used, retinal photographs should be taken on eyes with dilated pupils, unless contraindicated, as this setting decreases the rate of ungradable images. Smartphone-based and ultrawide-field imaging may become potential alternative methods for optimized DR screening; however, there is not yet enough evidence for these techniques to displace mydriatic fundus photography.

scholarly journals 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

2020 ◽  
pp. bjophthalmol-2019-315394
Author(s):  
Abraham Olvera-Barrios ◽  
Tjebo FC Heeren ◽  
Konstantinos Balaskas ◽  
Ryan Chambers ◽  
Louis Bolter ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Screening Programme ◽  
Proliferative Retinopathy ◽  
Retinal Images ◽  
Wide Field ◽  
Diabetic Retinopathy Screening ◽  
Eye Screening ◽  
Confocal Scanning ◽  
Diabetic Eye Screening ◽  
Retinopathy Screening

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 an ARIAS using true-colour, wide-field confocal scanning images and standard fundus images in the English National Diabetic Eye Screening Programme (NDESP) against human grading.MethodsCross-sectional study with consecutive recruitment of patients attending annual diabetic eye screening. Imaging with mydriasis was performed (two-field protocol) with the EIDON platform (CenterVue, Padua, Italy) and standard NDESP cameras. Human grading was carried out according to NDESP protocol. Images were processed by EyeArt V.2.1.0 (Eyenuk Inc, Woodland Hills, California). The reference standard for analysis was the human grade of standard NDESP images.ResultsWe included 1257 patients. Sensitivity estimates for retinopathy grades were: EIDON images; 92.27% (95% CI: 88.43% to 94.69%) for any retinopathy, 99% (95% CI: 95.35% to 100%) for vision-threatening retinopathy and 100% (95% CI: 61% to 100%) for proliferative retinopathy. For NDESP images: 92.26% (95% CI: 88.37% to 94.69%) for any retinopathy, 100% (95% CI: 99.53% to 100%) for vision-threatening retinopathy and 100% (95% CI: 61% to 100%) for proliferative retinopathy. One case of vision-threatening retinopathy (R1M1) was missed by the EyeArt when analysing the EIDON images, but identified by the human graders. The EyeArt identified all cases of vision-threatening retinopathy in the standard images.ConclusionEyeArt identified diabetic retinopathy in EIDON images with similar sensitivity to standard images in a large-scale screening programme, exceeding the sensitivity threshold recommended for a screening test. Further work to optimise the identification of ‘no retinopathy’ and to understand the differential lesion detection in the two imaging systems would enhance the use of these two innovative technologies in a diabetic retinopathy screening setting.

scholarly journals Ultra-wide field imaging in the screening of diabetic retinopathy

2019 ◽  
Vol 4 ◽  
pp. 1-1
Author(s):  
Jakob Grauslund ◽  
Malin Lundberg Rasmussen
Keyword(s):  
Diabetic Retinopathy ◽  
Wide Field ◽  
Field Imaging ◽  
Wide Field Imaging
Sign in / Sign up

Export Citation Format

Share Document