Read by QxMD icon Read

Diabetic retinopathy algorithms

Zhixi Li, Stuart Keel, Chi Liu, Yifan He, Wei Meng, Jane Scheetz, Pei Ying Lee, Jonathan Shaw, Daniel Ting, Tien Wong, Hugh Taylor, Robert Chang, Mingguang He
OBJECTIVE: The goal of this study was to describe the development and validation of an artificial intelligence-based, deep learning algorithm (DLA) for the detection of referable diabetic retinopathy (DR). RESEARCH DESIGN AND METHODS: A DLA using a convolutional neural network was developed for automated detection of vision-threatening referable DR (preproliferative DR or worse, diabetic macular edema, or both). The DLA was tested by using a set of 106,244 nonstereoscopic retinal images...
October 1, 2018: Diabetes Care
Razieh Ganjee, Mohsen Ebrahimi Moghaddam, Ramin Nourinia
Diabetic retinopathy (DR) is one of the most complications of diabetes. It is a progressive disease leading to significant vision loss in the patients. Abnormal capillary nonperfusion (CNP) regions are one of the important characteristics of DR increasing with its progression. Therefore, automatic segmentation and quantification of abnormal CNP regions can be helpful to monitor the patient's treatment process. We propose an automatic method for segmentation of abnormal CNP regions on the superficial and deep capillary plexuses of optical coherence tomography angiography (OCTA) images using the marker-controlled watershed algorithm...
September 2018: Journal of Biomedical Optics
Zhe Jiang, Zekuan Yu, Shouxin Feng, Zhiyu Huang, Yahui Peng, Jianxin Guo, Qiushi Ren, Yanye Lu
BACKGROUND: Fundus fluorescein angiography (FFA) imaging is a standard diagnostic tool for many retinal diseases such as age-related macular degeneration and diabetic retinopathy. High-resolution FFA images facilitate the detection of small lesions such as microaneurysms, and other landmark changes, in the early stages; this can help an ophthalmologist improve a patient's cure rate. However, only low-resolution images are available in most clinical cases. Super-resolution (SR), which is a method to improve the resolution of an image, has been successfully employed for natural and remote sensing images...
September 19, 2018: Biomedical Engineering Online
R Karthikeyan, P Alli
Diabetic Retinopathy (DR) has been a leading cause of blindness in case of human beings falling between the ages of 20 and 74 years. This will have a major influence on both the patient and the society as it can normally influence the humans in their gainful years. An early DR detection is quite challenging as it may not be detected by humans. There are several techniques and algorithms that have been established for detecting the DR. These techniques have been facing problems to achieve effective sensitivity, accuracy, and specificity...
September 12, 2018: Journal of Medical Systems
Heba Radi AttaAllah, Asmaa Anwar Mohamed Mohamed, Mohamed Attia Ali
PURPOSE: The aim of this study was to evaluate macular perfusion using OCTA automated software algorithms; vessel area density (VD) and non-flow tool to measure FAZ area in treatment-naïve diabetic eyes with moderate or severe NPDR and having macular edema, and correlate these parameters with LogMAR (logarithm of the minimum angle of resolution) visual acuity. Diabetic eyes without macular edema were included, to detect and define differences within the parameters between diabetic eyes with and without macular edema...
September 7, 2018: International Ophthalmology
Zohreh Hosseinaee, Bingyao Tan, Adam Martinez, Kostadinka K Bizheva
Purpose: To compare the accuracy of Doppler optical coherence tomography (DOCT) and OCT angiography (OCTA) for measuring retinal blood vessel caliber at different flow rates. Methods: A research-grade 1060-nm OCT system with 3.5-μm axial resolution in retinal tissue and 92,000 A scan/s image acquisition rate was used in this study. DOCT and OCTA measurements were acquired both from a flow phantom and in vivo from retinal blood vessels in six male Brown Norway rats...
August 2018: Translational Vision Science & Technology
Rachel C Patel, Jie Wang, Thomas S Hwang, Miao Zhang, Simon S Gao, Mark E Pennesi, Steven T Bailey, Brandon J Lujan, Xiaogang Wang, David J Wilson, David Huang, Yali Jia
Objective: To evaluate the projection-resolved (PR) optical coherence tomography angiography (OCTA) algorithm in detecting plexus-specific vascular abnormalities in retinal pathologies. Design: Cross-sectional observational clinical study. Participants: Patients diagnosed with retinal vascular diseases and healthy volunteers. Methods: Eyes were imaged using an OCT system operating at 840 nm and employing the split-spectrum amplitude decorrelation algorithm...
August 2018: Ophthalmology Retina
Nauman Hashmani, Sharif Hashmani, Asif Murad, Sayed Mustafa Mahmood Shah, Maria Hashmani
Purpose: To quantify and view the possible influence of demographic variables on normal macular layers. Additionally, we wanted to assess the reproducibility using the Spectralis SD-OCT. Methods: A Spectralis SD-OCT machine using a commercially available algorithm was used to scan 242 healthy subjects in an outpatient setting. We examined retinal thicknesses in seven layers: retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), inner plexiform layer (IPL), inner nuclear layer (INL), outer plexiform layer (OPL), outer nuclear layer (ONL) and retinal pigment epithelium (RPE)...
2018: Clinical Ophthalmology
R S Biyani, B M Patre
Diabetic Retinopathy (DR) is an outcome of prolonged diabetes which directly or indirectly affect the human vision. DR is asymptomatic in its early stages and the late diagnosis lead to undeviating loss of vision. The computer aided diagnosis with the assistance of medical images helps in timely and accurate treatment. Microaneurysms (MA) mark the onset of DR, thus a vital point in screening of this disease. This review discuses various state of the art methods available till date for automated computer aided analysis of microaneurysms and haemorrhages...
November 2018: Biomedicine & Pharmacotherapy, Biomédecine & Pharmacothérapie
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
PURPOSE: To present the 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 five participants (394 study eyes) having PDR without prior panretinal photocoagulation (PRP). METHODS: Intravitreous ranibizumab (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...
October 1, 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...
September 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
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"