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Diabetic retinopathy algorithms

Jennifer K Sun, Adam R Glassman, Wesley T Beaulieu, Cynthia R Stockdale, Neil M Bressler, Christina Flaxel, Jeffrey G Gross, Michel Shami, Lee M Jampol
OBJECTIVE: Present rationale, guidelines, and results of ranibizumab treatment for proliferative diabetic retinopathy (PDR) in Diabetic Retinopathy Clinical Research Network ( Protocol S. DESIGN: Post hoc analyses from a randomized clinical trial. PARTICIPANTS: Three hundred and five participants with 394 study eyes having PDR without prior PRP. INTERVENTION: Post hoc analyses from a randomized clinical trial of 0...
August 7, 2018: Ophthalmology
Muhammad Noor-Ul-Huda, Samabia Tehsin, Sairam Ahmed, Fuad A K Niazi, Zeerish Murtaza
Diabetes mellitus is an enduring disease related with significant morbidity and mortality. The main pathogenesis behind this disease is its numerous micro- and macrovascular complications. In developing countries, diabetic retinopathy (DR) is one of the major sources of vision impairment in working age population. DR has been classified into two categories: proliferative diabetic retinopathy (PDR) and non-proliferative diabetic retinopathy (NPDR). NPDR is further classified into mild, moderate and severe, while PDR is further classified into early PDR, high risk PDR and advanced diabetic eye disease...
July 28, 2018: Biomedizinische Technik. Biomedical Engineering
Jeffrey G Gross, Adam R Glassman, Danni Liu, Jennifer K Sun, Andrew N Antoszyk, Carl W Baker, Neil M Bressler, Michael J Elman, Frederick L Ferris, Thomas W Gardner, Lee M Jampol, Daniel F Martin, Michele Melia, Cynthia R Stockdale, Roy W Beck
Importance: Ranibizumab is a viable treatment option for eyes with proliferative diabetic retinopathy (PDR) through 2 years. However, longer-term results are needed. Objective: To evaluate efficacy and safety of 0.5-mg intravitreous ranibizumab vs panretinal photocoagulation (PRP) over 5 years for PDR. Design, Setting, and Participants: Diabetic Retinopathy Clinical Research Network multicenter randomized clinical trial evaluated 394 study eyes with PDR enrolled February through December 2012...
July 24, 2018: JAMA Ophthalmology
Jay Chhablani, Mahima Jhingan, Abhilash Goud, Kiran Kumar Vupparaboina, Taraprasad Das
Purpose: This study aimed to evaluate the effect of dexamethasone implantation on the hard exudates (HEX) in patients with diabetic macular edema (DME). Study design: This was a nonrandomized open-label single-center prospective trial. Methods: This study included 15 eyes of 11 subjects with DME. Key inclusion criteria were naïve eyes with DME with HEX within 3 mm of fovea with center-involving DME; central macular thickness (CMT) >250 μm at baseline; best-corrected visual acuity (BCVA) between 20/400 and 20/40...
2018: Clinical Ophthalmology
B S Gerendas, S M Waldstein, U Schmidt-Erfurth
BACKGROUND: Modern retinal imaging creates gigantic amounts of data (big data) of anatomic information. At the same time patient numbers and interventions are increasing exponentially. OBJECTIVE: Introduction of artificial intelligence (AI) for optimization of personalized therapy and diagnosis. MATERIAL AND METHODS: Deep learning was introduced for automated segmentation and recognition of risk factors and activity levels in retinal diseases...
July 6, 2018: Der Ophthalmologe: Zeitschrift der Deutschen Ophthalmologischen Gesellschaft
Minhaj Alam, Taeyoon Son, Devrim Toslak, Jennifer I Lim, Xincheng Yao
It is known that retinopathies may affect arteries and veins differently. Therefore, reliable differentiation of arteries and veins is essential for computer-aided analysis of fundus images. The purpose of this study is to validate one automated method for robust classification of arteries and veins (A-V) in digital fundus images. We combine optical density ratio (ODR) analysis and blood vessel tracking algorithm to classify arteries and veins. A matched filtering method is used to enhance retinal blood vessels...
January 2018: Proceedings of SPIE
Yaroub Elloumi, Mohamed Akil, Nasser Kehtarnavaz
BACKGROUND AND OBJECTIVE: The detection of optic nerve head (ONH) in retinal fundus images plays a key role in identifying Diabetic Retinopathy (DR) as well as other abnormal conditions in eye examinations. This paper presents a method and its associated software towards the development of an Android smartphone app based on a previously developed ONH detection algorithm. The development of this app and the use of the d-Eye lens which can be snapped onto a smartphone provide a mobile and cost-effective computer-aided diagnosis (CAD) system in ophthalmology...
August 2018: Computer Methods and Programs in Biomedicine
Tomoaki Murakami, Kiyoshi Suzuma, Yoko Dodo, Tatsuya Yoshitake, Shota Yasukura, Hideo Nakanishi, Masahiro Fujimoto, Maho Oishi, Akitaka Tsujikawa
Diabetic hyperreflective foci in the outer retinal layers are a clinically relevant finding on optical coherence tomography (OCT) images, although their characteristics remain to be elucidated. Here we investigated the decorrelation signal around hyperreflective foci on OCT angiography (OCTA) images in diabetic retinopathy (DR). We retrospectively reviewed sufficient quality OCTA images from 102 eyes of 66 patients that were obtained using split-spectrum amplitude-decorrelation angiography algorithm. Most confluent hyperreflective foci were randomly deposited or appeared in a radiating array on the en-face structural OCT images in the inner nuclear layer (INL) or Henle's fiber layer (HFL), respectively...
June 11, 2018: Scientific Reports
Huiqun Wu, Yufang Wei, Yujuan Shang, Wei Shi, Lei Wang, Jingjing Li, Aimin Sang, Lili Shi, Kui Jiang, Jiancheng Dong
Type 2 diabetes mellitus (T2DM) is a common chronic disease, and the fragment data collected through separated vendors makes continuous management of DM patients difficult. The lack of standard of fragment data from those diabetic patients also makes the further potential phenotyping based on the diabetic data difficult. Traditional T2DM data repository only supports data collection from T2DM patients, lack of phenotyping ability and relied on standalone database design, limiting the secondary usage of these valuable data...
June 6, 2018: Journal of Medical Systems
Zoi Kapsala, Aristofanis Pallikaris, Dimitrios Mamoulakis, Joanna Moschandreas, Georgios Bontzos, Miltiadis Tsilimbaris
OBJECTIVE: To assess the morphology of perifoveal capillary network with quantitative parameters in young patients with diabetes mellitus type I (DM I) using an algorithm. METHODS: Fifty-three images (33 eyes of 33 DM I patients and 20 eyes of 20 non-DM controls) were chosen retrospectively from the University Hospital of Heraklion digital fluorescein angiography database. An additional group consisting of patients with advanced DR abnormalities was included in our analysis to investigate whether our method detects alterations when they are present...
June 2018: Canadian Journal of Ophthalmology. Journal Canadien D'ophtalmologie
Yiyan Zhang, Qin Li, Yi Xin, Weiqi Lv, Chuanbin Ge
BACKGROUND: Magnesium ion, as important cation in the human body, involved in various enzymatic reactions, glucose transport and insulin release. Now diabetes mellitus and diabetic complications have become important public health problems around the world. OBJECTIVE: This paper explores the association between concentration levels of serum magnesium and common complications and comorbidities of diabetes mellitus and other biochemical indexes. METHODS: There are 1217 eligible patients selected from 14,317 cases of diabetic hospitalization patients from January 2010 to December 2011...
2018: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
Rahul K Reddy, Dante J Pieramici, Shamika Gune, Avanti Ghanekar, Na Lu, Carlos Quezada-Ruiz, Caroline R Baumal
PURPOSE: To determine whether there are baseline characteristics that distinguish patients with diabetic macular edema (DME) with coexisting macular nonperfusion (MNP) at baseline and assess these patients' potential to achieve favorable visual acuity (VA), anatomic, and diabetic retinopathy (DR) outcomes over 24 months. DESIGN: Post hoc analysis of RIDE/RISE, 2 phase 3, parallel, randomized, multicenter, double-masked trials ( NCT00473382; NCT00473330)...
May 8, 2018: Ophthalmology
Bilal Khomri, Argyrios Christodoulidis, Leila Djerou, Mohamed Chaouki Babahenini, Farida Cheriet
Retinal vessel segmentation plays an important role in the diagnosis of eye diseases and is considered as one of the most challenging tasks in computer-aided diagnosis (CAD) systems. The main goal of this study was to propose a method for blood-vessel segmentation that could deal with the problem of detecting vessels of varying diameters in high- and low-resolution fundus images. We proposed to use the particle swarm optimization (PSO) algorithm to improve the multiscale line detection (MSLD) method. The PSO algorithm was applied to find the best arrangement of scales in the MSLD method and to handle the problem of multiscale response recombination...
May 2018: Journal of Biomedical Optics
Ahmad S Abdullah, Yasa Ekşioğlu Özok, Javad Rahebi
Normally, the optic disc detection of retinal images is useful during the treatment of glaucoma and diabetic retinopathy. In this paper, the novel preprocessing of a retinal image with a bat algorithm (BA) optimization is proposed to detect the optic disc of the retinal image. As the optic disk is a bright area and the vessels that emerge from it are dark, these facts lead to the selected segments being regions with a great diversity of intensity, which does not usually happen in pathological regions. First, in the preprocessing stage, the image is fully converted into a gray image using a gray scale conversion, and then morphological operations are implemented in order to remove dark elements such as blood vessels, from the images...
May 9, 2018: Medical & Biological Engineering & Computing
Ling Dai, Ruogu Fang, Huating Li, Xuhong Hou, Bin Sheng, Qiang Wu, Weiping Jia
Timely detection and treatment of microaneurysms is a critical step to prevent the development of vision-threatening eye diseases such as diabetic retinopathy. However, detecting microaneurysms in fundus images is a highly challenging task due to the low image contrast, misleading cues of other red lesions, and the large variation of imaging conditions. Existing methods tend to fail in face of the large intra-class variation and small inter-class variations for microaneurysm detection in fundus images. Recently, hybrid text/image mining computer-aided diagnosis systems have emerged to offer a promise of bridging the semantic gap between images and diagnostic information...
May 2018: IEEE Transactions on Medical Imaging
Yansha Lu, Joseph M Simonett, Jie Wang, Miao Zhang, Thomas Hwang, Ahmed M Hagag, David Huang, Dengwang Li, Yali Jia
Purpose: To describe an automated algorithm to quantify the foveal avascular zone (FAZ), using optical coherence tomography angiography (OCTA), and to compare its performance for diagnosis of diabetic retinopathy (DR) and association with best-corrected visual acuity (BCVA) to that of extrafoveal avascular area (EAA). Methods: We obtained 3 × 3-mm macular OCTA scans in diabetic patients with various levels of DR and healthy controls. An algorithm based on a generalized gradient vector flow (GGVF) snake model detected the FAZ, and metrics assessing FAZ size and irregularity were calculated...
May 1, 2018: Investigative Ophthalmology & Visual Science
Minhaj Alam, Taeyoon Son, Devrim Toslak, Jennifer I Lim, Xincheng Yao
Purpose: This study aims to develop a fully automated algorithm for artery-vein (A-V) and arteriole-venule classification and to quantify the effect of hypertension on A-V caliber and tortuosity ratios of nonproliferative diabetic retinopathy (NPDR) patients. Methods: We combine an optical density ratio (ODR) analysis and blood vessel tracking (BVT) algorithm to classify arteries and veins and arterioles and venules. An enhanced blood vessel map and ODR analysis are used to determine the blood vessel source nodes...
April 2018: Translational Vision Science & Technology
Micael Pedrosa, Jorge Miguel Silva, Sérgio Matos, Carlos Costa
Diabetic Retinopathy (DR) is a common complication of diabetes that may lead to blindness if not treated. However, since DR evolves without any symptoms in the initial stages, early detection and treatment can only be achieved through routine checks. This article presents the collaborative platform of the SCREEN-DR project that promotes partnership between physicians and researchers in the scope of a regional DR screening program. The role of researchers is to create classification algorithms to evaluate image quality, discard non-pathological cases, locate possible lesions and grade DR severity...
2018: Studies in Health Technology and Informatics
Qi Chen, Fan Tan, Yufei Wu, Xiran Zhuang, Chaoming Wu, Yuheng Zhou, Yingzi Li, Dan Cheng, Jianhua Wang, Fan Lu, Meixiao Shen
Purpose: To investigate early retinal structural and microvascular changes in patients with type 2 diabetes mellitus (DM) and to analyze relationships among the retinal structure, microvasculature, and choroid. Methods: Seventy-seven patients with type 2 DM (40 with no diabetic retinopathy [DR], 37 with nonproliferative diabetic retinopathy [NPDR]), and 34 control subjects were enrolled. Spectral-domain optical coherence tomography, operating in radial 18-line mode, obtained macular images of the eight intraretinal layers and the choroid...
April 1, 2018: Investigative Ophthalmology & Visual Science
Jianqin Lei, Enhui Yi, Yan Suo, Cheng Chen, Xiayu Xu, Wenxiang Ding, Nizar Saleh Abdelfattah, Xiaojuan Fan, Huiqin Lu
Purpose: To quantify and evaluate macular superficial capillaries and large vessels separately using an optical coherence tomographic angiography (OCTA)-based automatic segmentation algorithm. Methods: In this cross-sectional study, all eyes were scanned using an OCTA device with 3 × 3 mm cube centered on the fovea. Retinal large vessels (arterioles/venules) were automatically segmented from superficial vasculature en-face images. All images were normalized, binarized, and skeletonized for quantification...
April 1, 2018: Investigative Ophthalmology & Visual Science
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