• Journal of Korean Neurosurgical Society
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• v.64 no.4
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• pp.543-551
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• 2021

Objective : Hemorrhagic stroke (HS) and hypertensive retinopathy are known end organ damage of the brain and eye respectively, with HS having deleterious consequence to the patients. This study is to correlate between hypertensive retinopathy and HS in hypertensive disease. Methods : A control group of hypertensive patients only, and an investigated group of hypertensive HS patients. Fundoscopic examination to determine the grade of retinopathy was performed and then divided into low or high severity hypertensive retinopathy. Clinical and radiological parameter included are demography, vital signs, Glasgow coma scale (GCS) on admission, clot volume, site of clot, Intracerebral hemorrhage (ICH) score and Glasgow outcome scale (GOS). Data were correlated with the severity of hypertensive retinopathy. Results : Fifty patient in the control group and 51 patients in the investigated group were recruited. In the hypertensive HS group, 21 had low severity retinopathy (no or mild retinopathy) accounting for 41.2% and 30 patients had high severity (moderate or severe retinopathy). In the hypertensive patients 49 had low severity and one had high severity (p-value of 0.001). In HS group low severity showed better GCS score of 9-15 on admission (p-value of 0.003), clot volume less than 30 mL (p-value 0.001), and also a better 30 days mortality rate by using the ICH score (p-value 0.006), GOS score of 4 and 5 the low severity retinopathy fair better than the high severity retinopathy (p-value of 0.001), and the relative risk to develop HS in low severity and high severity retinopathy was 0.42 and 29.4, respectively. Conclusion : Hypertensive retinopathy screening could be used as an indicator in hypertensive patient, to evaluate the risk of developing hypertensive HS in the future.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.23 no.3
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• pp.300-309
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• 2016

Purpose: This study was a descriptive survey research to identify whether characteristics of patients with type 2 diabetes mellitus, their knowledge about diabetes, and self-care behavior impacted on the level of diabetic retinopathy. Methods: Participants were 133 patients who had type 2 diabetes mellitus and were being seen at a hospital in Korea. The scale for knowledge about diabetes had 24 items, the scale for self-care behavior, 20 items, and the level of diabetic retinopathy was classified according to the international clinical diabetic retinopathy severity measurement standards. Results: The influence of the independent variables on the level of diabetic retinopathy showed that age, job, time since onset of Diabetes Mellitus, regular ophthalmologic examinations, and systolic blood pressure were identified as factors affecting the level of diabetic retinopathy. The explanation power of this regression model was 23.0% and it was statistically significant (F=5.42, p<.001). Conclusion: Early education about occurrence of diabetes related diseases, specifically diabetic retinopathy should be provided for patients from younger ages. Moreover, for disease management, social support is needed from co-workers and friends. Efforts to encouraged prevention and delay of diabetic retinopathy should include control of blood sugar and blood pressure.

• Journal of Yeungnam Medical Science
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• v.11 no.1
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• pp.153-159
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• 1994

Extracapsular cataract extraction with posterior chamber intraocular lens in 24 eyes of 24 diabetics, with and without diabetic retinopathy, were followed up postoperatively for an average of 14 months to determine the incidence of progression of diabetic retinopathy, the final visual acuity and factors predictive of progression of retinopathy and final visual acuity. Overall, retinopathy progressed in 52% of operated-on eyes. Cataract extraction was highly associated with progression of diabetic retinopathy. Women had a significantly increased risk of progression of retinopathy in the operated-on eye compared to men. Visual acuity improved in 22 of 24 orerated-on eyes : however, only 11 eyes achieved a visual acuity of 0.5 or better and only 7 eyes achieved a visual acuity of 0.7 or better. Patients treated with oral hypoglycemic agents had a worse visual prognosis than those treated with insulin. The prognosis of patients with diabetic retinopathy about to undergo cataract surgery, even extracapsular cataract extraction with placement of a posterior chamber lens, is guarded.

• Journal of Information Processing Systems
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• v.18 no.5
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• pp.599-613
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• 2022

Non-proliferative diabetic retinopathy is a representative complication of diabetic patients and is known to be a major cause of impaired vision and blindness. There has been ongoing research on automatic detection of diabetic retinopathy, however, there is also a growing need for research on an automatic severity classification system. This study proposes an automatic detection system for pathological symptoms of diabetic retinopathy such as microaneurysms, retinal hemorrhage, and hard exudate by applying the Faster R-CNN technique. An automatic severity classification system was devised by training and testing a Random Forest classifier based on the data obtained through preprocessing of detected features. An experiment of classifying 228 test fundus images with the proposed classification system showed 97.8% accuracy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.124-126
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• 2021

In this study, fundus images were analyzed using an image processing algorithm for diagnosis of diabetic retinopathy, and specific areas such as hard exudate and retinal hemorrhage, which are characteristic of diabetic retinopathy disease using the bit plane technique, were extracted. We propose a system capable of automatic diagnosis by quantifying the characteristics of diabetic retinopathy based on the analyzed fundus image.

• Journal of Preventive Medicine and Public Health
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• v.44 no.6
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• pp.260-266
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• 2011

Objectives: We evaluated the association between common carotid artery intima-media thickness (CCA-IMT), brachialankle pulse wave velocity (baPWV), carotid plaque, and peripheral arterial disease (PAD) as indicators of macroangiopathy and diabetic retinopathy as an indicator of microangiopathy in type 2 diabetic patients. Methods: We analyzed 605 type 2 diabetic patients registered at a public health center in Korea. Following overnight fasting, venous blood and urine samples were collected and analyzed. The CCA-IMT, levels of carotid plaque, baPWV, and ankle-brachial index (ABI) of the subjects were assessed. We used non-mydriatic fundus photography to diagnose diabetic retinopathy. Multiple logistic regression analyses were used to evaluate the association between macroangiopathy and diabetic retinopathy. CCA-IMT and baPWV were divided into tertiles: CCA-IMT, 0.39 to 0.65 mm, 0.66 to 0.78 mm, and 0.79 to 1.30 mm; baPWV, 9.9 to 15.8 m/s, 15.9 to 18.9 m/s, and 19.0 to 38.0 m/s. Results: The association between baPWV and diabetic retinopathy remained significant after adjustment, with an increasing odds ratio (OR) in the second tertile (OR, 2.41; 95% confidence interval [CI], 1.27 to 4.55) and the third tertile (OR, 4.63; 95% CI, 2.33 to 9.21). No significant differences were observed in carotid plaque, PAD, and each tertile of CCA-IMT. Conclusions: BaPWV was associated with diabetic retinopathy, while CCA-IMT, carotid plaque, and PAD were not. This study suggests that the association between macroangiopathy and microangiopathy may be attributable to functional processes rather than structural processes within the vascular system.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.17 no.2
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• pp.112-119
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• 2004

Objective: To carry out the oriental medical treatment on a patient with vitreous hemorrhage in the left eye caused by diabetic retinopathy and record the results of the treatment. Methods: 1. Diagnosis: Fundus photography, Colored paper, Dr. Hahn's standard test chart for 5M, Blood sugar measurement. 2. Treatment: Acupuncture, Electro-Acupuncture, Indirect moxibustion, Western medicines, Oryoungsan(Crude drug preparations) Results: Oriental treatment using Ohaeng-acupuncture, Electro-Acupuncture, Indirect moxibustion resulted in the Unaided visual acuity of 0.1 while it used to be the left eye visual acuity with only light sense I month ago. Looking from Fundus photography result, progress was achieved and diabetic retinopathy was found to be in progress in fluorescein fundus angiography to right eye also by revisiting the patient after treatment. Conclusions: 1. Vitrectomy has many advantages but there are instances where patients do not recover their visual acuity due to complications. Therefore it is necessary to prove the effect oriental medical treatment through more cases in future. 2 For diabetic retinopathy patients, diabetes must be treated together with visual acuity.

• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.98-106
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• 2022

A condition of the retina known as hypertensive retinopathy (HR) is connected to high blood pressure. The severity and persistence of hypertension are directly correlated with the incidence of HR. To avoid blindness, it is essential to recognize and assess HR as soon as possible. Few computer-aided systems are currently available that can diagnose HR issues. On the other hand, those systems focused on gathering characteristics from a variety of retinopathy-related HR lesions and categorizing them using conventional machine-learning algorithms. Consequently, for limited applications, significant and complicated image processing methods are necessary. As seen in recent similar systems, the preciseness of classification is likewise lacking. To address these issues, a new CAD HR-diagnosis system employing the advanced Deep Dense CNN Learning (DD-CNN) technology is being developed to early identify HR. The HR-diagnosis system utilized a convolutional neural network that was previously trained as a feature extractor. The statistical investigation of more than 1400 retinography images is undertaken to assess the accuracy of the implemented system using several performance metrics such as specificity (SP), sensitivity (SE), area under the receiver operating curve (AUC), and accuracy (ACC). On average, we achieved a SE of 97%, ACC of 98%, SP of 99%, and AUC of 0.98. These results indicate that the proposed DD-CNN classifier is used to diagnose hypertensive retinopathy.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.372-375
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• 2003

The incidence of blindness resulting from diabetic retinopathy has significantly increased despite the intervention of insulin to control diabetes mellitus. Early signs are microaneurysms, exudates, intraretinal hemorrhages, cotton wool patches, microvascular abnormalities, and venous beading. Advanced stages include neovascularization, fibrous formations, preretinal and vitreous microhemorrhages, and retinal detachment. Microaneurysm count is important because it is an indicator of retinopathy progression. The purpose of this paper is to apply data mining to detect diabetic retinopathy patterns in routine fundus fluorescein angiography. Early symptoms are of principal interest and therefore the emphasis is on detecting microaneurysms rather than vessel tortuosity. The analysis does not involve image-recognition algorithms. Instead, mathematical filtering isolates microaneurysms, microhemorrhages, and exudates as objects of disconnected sets. A neural network is trained on their distribution to return fractal dimension. Hausdorff and box counting dimensions grade progression of the disease. The field is acquired on fluorescein angiography with resolution superior to color ophthalmoscopy, or on patterns produced by physical or mathematical simulations that model viscous fingering of water with additives percolated through porous media. A mathematical filter and neural network perform the screening process thereby eliminating the time consuming operation of determining fractal set dimension in every case.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.67-76
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• 2024

Diabetic retinopathy is a threatening complication of diabetes, caused by damaged blood vessels of light sensitive areas of retina. DR leads to total or partial blindness if left untreated. DR does not give any symptoms at early stages so earlier detection of DR is a big challenge for proper treatment of diseases. With advancement of technology various computer-aided diagnostic programs using image processing and machine learning approaches are designed for early detection of DR so that proper treatment can be provided to the patients for preventing its harmful effects. Now a day machine learning techniques are widely applied for image processing. These techniques also provide amazing result in this field also. In this paper we discuss various machine learning and deep learning based techniques developed for automatic detection of Diabetic Retinopathy.