scholarly journals Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier

2021 ◽  
Vol 7 ◽  
pp. e456
Author(s):  
Lakshmana Kumar Ramasamy ◽  
Shynu Gopalan Padinjappurathu ◽  
Seifedine Kadry ◽  
Robertas Damaševičius
Keyword(s):  
Diabetic Retinopathy ◽  
Diabetes Complications ◽  
Detection Method ◽  
Retinal Images ◽  
Gray Level ◽  
Sequential Minimal Optimization ◽  
Ridgelet Transform ◽  
The World ◽  
Disease Stages ◽  
Retina Images

Diabetes is one of the most prevalent diseases in the world, which is a metabolic disorder characterized by high blood sugar. Diabetes complications are leading to Diabetic Retinopathy (DR). The early stages of DR may have either no sign or cause minor vision problems, but later stages of the disease can lead to blindness. DR diagnosis is an exceedingly difficult task because of changes in the retina during the disease stages. An automatic DR early detection method can save a patient's vision and can also support the ophthalmologists in DR screening. This paper develops a model for the diagnostics of DR. Initially, we extract and fuse the ophthalmoscopic features from the retina images based on textural gray-level features like co-occurrence, run-length matrix, as well as the coefficients of the Ridgelet Transform. Based on the retina features, the Sequential Minimal Optimization (SMO) classification is used to classify diabetic retinopathy. For performance analysis, the openly accessible retinal image datasets are used, and the findings of the experiments demonstrate the quality and efficacy of the proposed method (we achieved 98.87% sensitivity, 95.24% specificity, 97.05% accuracy on DIARETDB1 dataset, and 90.9% sensitivity, 91.0% specificity, 91.0% accuracy on KAGGLE dataset).

scholarly journals In-depth transcriptomic analysis of human retina reveals molecular mechanisms underlying diabetic retinopathy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kolja Becker ◽  
Holger Klein ◽  
Eric Simon ◽  
Coralie Viollet ◽  
Christian Haslinger ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Rna Sequencing ◽  
Molecular Mechanisms ◽  
Vision Loss ◽  
Ganglion Cells ◽  
Expression Profiles ◽  
Cell Types ◽  
Sequencing Data ◽  
Disease Stages ◽  
Post Transcriptional Regulation

AbstractDiabetic Retinopathy (DR) is among the major global causes for vision loss. With the rise in diabetes prevalence, an increase in DR incidence is expected. Current understanding of both the molecular etiology and pathways involved in the initiation and progression of DR is limited. Via RNA-Sequencing, we analyzed mRNA and miRNA expression profiles of 80 human post-mortem retinal samples from 43 patients diagnosed with various stages of DR. We found differentially expressed transcripts to be predominantly associated with late stage DR and pathways such as hippo and gap junction signaling. A multivariate regression model identified transcripts with progressive changes throughout disease stages, which in turn displayed significant overlap with sphingolipid and cGMP–PKG signaling. Combined analysis of miRNA and mRNA expression further uncovered disease-relevant miRNA/mRNA associations as potential mechanisms of post-transcriptional regulation. Finally, integrating human retinal single cell RNA-Sequencing data revealed a continuous loss of retinal ganglion cells, and Müller cell mediated changes in histidine and β-alanine signaling. While previously considered primarily a vascular disease, attention in DR has shifted to additional mechanisms and cell-types. Our findings offer an unprecedented and unbiased insight into molecular pathways and cell-specific changes in the development of DR, and provide potential avenues for future therapeutic intervention.

scholarly journals Sodium Intake and Incidence of Diabetes Complications in Elderly Patients with Type 2 Diabetes—Analysis of Data from the Japanese Elderly Diabetes Intervention Study (J-EDIT)

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 689
Author(s):  
Chika Horikawa ◽  
Rei Aida ◽  
Shiro Tanaka ◽  
Chiemi Kamada ◽  
Sachiko Tanaka ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Retinopathy ◽  
Elderly Patients ◽  
Diabetes Complications ◽  
Vegetable Intake ◽  
Sodium Intake ◽  
Food Groups ◽  
High Sodium ◽  
Increased Risk

This study investigates the associations between sodium intake and diabetes complications in a nationwide cohort of elderly Japanese patients with type 2 diabetes aged 65–85. Data from 912 individuals regarding their dietary intake at baseline is analyzed and assessed by the Food Frequency Questionnaire based on food groups. Primary outcomes are times to diabetic retinopathy, overt nephropathy, cardiovascular disease (CVD), and all-cause mortality during six years. We find that mean sodium intake in quartiles ranges from 2.5 g to 5.9 g/day. After adjustment for confounders, no significant associations are observed between sodium intake quartiles and incidence of diabetes complications and mortality, except for a significant trend for an increased risk of diabetic retinopathy (p = 0.039). Among patients whose vegetable intake was less than the average of 268.7 g, hazard ratios (HRs) for diabetic retinopathy in patients in the second, third, and fourth quartiles of sodium intake compared with the first quartile were 0.87 (95% CI, 0.31–2.41), 2.61 (1.00–6.83), and 3.70 (1.37–10.02), respectively. Findings indicate that high sodium intake under conditions of low vegetable intake is associated with an elevated incidence of diabetic retinopathy in elderly patients with type 2 diabetes.

Retinal Digital Image Quality Improvement as A Diabetes Retinopatic Disease Detection Effort

2020 ◽  
Vol 4 (2) ◽  
pp. 53-60
Author(s):  
Latifah Listyalina ◽  
Yudianingsih Yudianingsih ◽  
Dhimas Arief Dharmawan
Keyword(s):  
Image Processing ◽  
Diabetic Retinopathy ◽  
Image Quality ◽  
Digital Image ◽  
Signal To Noise Ratio ◽  
Histogram Equalization ◽  
Vital Role ◽  
Retinal Images ◽  
Signal To Noise ◽  
Noise Ratio

Image processing is a technical term useful for modifying images in various ways. In medicine, image processing has a vital role. One example of images in the medical world, namely retinal images, can be obtained from a fundus camera. The retina image is useful in the detection of diabetic retinopathy. In general, direct observation of diabetic retinopathy is conducted by a doctor on the retinal image. The weakness of this method is the slow handling of the disease. For this reason, a computer system is required to help doctors detect diabetes retinopathy quickly and accurately. This system involves a series of digital image processing techniques that can process retinal images into good quality images. In this research, a method to improve the quality of retinal images was designed by comparing the methods for adjusting histogram equalization, contrast stretching, and increasing brightness. The performance of the three methods was evaluated using Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), and Signal to Noise Ratio (SNR). Low MSE values and high PSNR and SNR values indicated that the image had good quality. The results of the study revealed that the image was the best to use, as evidenced by the lowest MSE values and the highest SNR and PSNR values compared to other techniques. It indicated that adaptive histogram equalization techniques could improve image quality while maintaining its information.

scholarly journals Diabetic retinopathy: An epidemic at home and around the world

2016 ◽  
Vol 64 (1) ◽  
pp. 69 ◽  
Author(s):  
Rajiv Raman ◽  
Laxmi Gella ◽  
Sangeetha Srinivasan ◽  
Tarun Sharma
Keyword(s):  
Diabetic Retinopathy ◽  
The World ◽  
At Home

scholarly journals PERBANDINGAN MOTIVASI PENGGUNAAN MODERN DRESSING PADA PENDERITA ULKUS DIABEKTIKUM DI KELURAHAN KALIJIRAK DAN KELURAHAN WONOLOP O KECAMATAN TASIKMADU KARANGANYAR

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Budi Kristanto ◽  
Nur Cahyo Saputro ◽  
Elga Firdian Candra
Keyword(s):  
Diabetes Mellitus ◽  
Study Design ◽  
Analytical Study ◽  
Diabetes Complications ◽  
Wound Care ◽  
Epidemiological Studies ◽  
Diabetic Ulcers ◽  
The World ◽  
Patients With Diabetes ◽  
The Village

ABSTRACTIntroduction: The increasing prevalence of diabetes in the world led to an increase in cases of amputation due to diabetes complications. Epidemiological studies reported more than one million amputations are performed on people with diabetes each year. Therefore, prevention and appropriate management of lesions of the foot is the most important thing. The development of wound care is growing very rapidly in the world of health.Objective: This study aimed to compare the motivation of the use of modern dressings in patients with diabetic ulcers in the Wonolopo and Kalijirak villagedistrict of Karanganyar.Methods: This study is a comparative analytical study design to compare the motivation of the use of modern dressings in patients with diabetic ulcers in the Wonolopo and Kalijirak village district of Karanganyar.Respondents: The study sample was taken from the population of people who have diabetic ulcers in the Village Kalijirak as much as 20 and as many as 20 Wonolopo village.Results: Based on the results of independent sample t test with SPSS for Windows series 18 with α = 5% (0.05), obtained p equal to 0825 which means p> 0.05 it indicates that Ha is not accepted, which means there is no difference in motivation to use modern dressings in patients with diabetes mellitus with diabetic ulcers among respondents in the Village and Village Wonolopo Kalijirak.Keywords: Motivation, Modern dressings, Wound care

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