• 기본간호학회지
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• 제23권3호
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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 Information Processing Systems
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• 제18권5호
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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.

• Journal of Preventive Medicine and Public Health
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• 제44권6호
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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.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.124-126
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• 2021

본 연구에서는 당뇨망막병증 의증 진단을 위해 영상처리 알고리즘을 이용하여 안저영상을 분석하고, 비트 플레인(Bit Plane) 기법을 활용한 당뇨망막병증 질환의 특징인 경성삼출물 및 망막 출혈 등의 특정 부위를 추출한다. 분석된 안저영상을 기반으로 당뇨망막병증의 특징을 수치화하고 자동으로 진단이 가능한 시스템을 제안한다.

• 한국임상약학회지
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• 제24권1호
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• pp.33-38
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• 2014

Background: Diabetes is accompanied by complications. One of the chronic complications, diabetic retinopathy is the most common cause of the loss of eyesight and thus has enormous impacts on the quality of life to the patients. It has been reported that thorough glucose regulation can prevent or postpone the outset of diabetic retinopathy in diabetic patients and that the patients who received anti-diabetic manage & care education would be capable of more thorough glucose-level regulation than those who did not. Method: This study set out to investigate the current state of education on anti-diabetic manage & care in South Korea and connections between anti-diabetic manage & care education and occurrence of diabetic retinopathy in diabetic patients based on the Korea National Health and Nutrition Examination Survey of 2011. Results: Of the 410 diabetes patients, 74 received anti-diabetic manage & care education, which means that only 15% of diabetic patients benefited from the education in the nation. The occurrence rate of diabetic retinopathy was 28% in the education group and 24% in the non-education group with no significant differences between them. The anti-diabetic manage & care education group recorded a higher occurrence rate of diabetic retinopathy, one of the chronic diabetic complications, than the non-education group contrary to the hypothesis. One of the reasons was that the educated group had a significantly longer duration of diabetes and significantly higher HbA1c than the noneducated group, which indicates that anti-diabetic manage & care education is provided to those who have progressed farther along the course of diabetes instead of the early stage and cannot regulate their glucose-level well in the nation. Conclusion: Those findings raise a need for active educational policies in order to provide anti-diabetic manage & care education under the goals of preventing complications through anti-diabetic education for many patients in early stages of diabetes.

• Journal of Yeungnam Medical Science
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• 제11권1호
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• pp.153-159
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• 1994

당뇨병을 가진 백내장 환자에 있어서 수정체낭외적출술 및 후방인공수정체삽입술후 당뇨망막증의 경과변화, 시력의 예후, 시력의 예후 및 망막증의 진행에 영향을 미치는 관련인자들에 대한 후향적 조사를 시행하여 다음과 같은 결과를 얻었다. 1. 백내장수술을 한 눈의 경우 전체 24안중 11안(46%)에서 망막증이 진행하였으며 수술을 하지 않은 눈의 경우 망막증의 진행을 보인 경우는 4안(17%)이였다. 2. 백내장수술후 시력이 향상되었던 경우는 24안 중 22안(92%)이였으나 이중 0.5이하가 12안, 0.1이하가 3안이였다. 3. 술후 망막증의 진행이 있었던 경우 여자는 11안 중 7안, 남자는 13안 중 4안이였으며 경구 혈당강하제를 사용하는 환자가 인슐린 투여군보다 망막증의 진행이 더욱 많았다. 4. 본 연구의 결과 백내장수술은 당뇨망막증의 진행을 더욱 촉진시키며 경구혈당강하제의 사용, 그리고 여자환자에서 망막증의 진행이 더욱 빈번히 나타났으며 이는 시력의 예후를 나쁘게 하는 인자로 작용하였다.

• 한방안이비인후피부과학회지
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• 제17권2호
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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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• 제24권4호
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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.

• Annals of Clinical Neurophysiology
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• 제24권1호
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• pp.7-16
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• 2022

Background: There is inadequate information on the validation of diabetic microvascular complications in the Korean National Health Insurance Service data set. We aimed to validate the diagnostic algorithms regarding the nephropathy, neuropathy, and retinopathy of diabetes. Methods: From various secondary and tertiary medical centers, we selected 6,493 patients aged ≥ 40 years who were diagnosed with diabetic microvascular complications more than once based on codes in the 10th version of the International Classification of Diseases (ICD-10). During 2019 and 2020, we randomly selected the diagnoses of 200 patients, 100 from each of two hospitals. The positive predictive value (PPV), negative predictive value, error rate, sensitivity, and specificity were determined for each diabetic microvascular complication according to the ICD-10 codes, laboratory findings, diagnostic studies, and treatment procedure codes. Results: Among the 200 patients who visited the hospital more than once and had the diagnostic codes of diabetic microvascular complications, 142, 110, and 154 patients were confirmed to have the gold standard of diabetic nephropathy (PPV, 71.0%), diabetic neuropathy (PPV, 55.0%), and diabetic retinopathy (PPV, 77.0%), respectively. The PPV and specificity of diabetic nephropathy (PPV, 71.0-81.4%; specificity, 10.3-53.4%), diabetic neuropathy (PPV, 55.0-81.3%; specificity, 66.7-76.7%) and diabetic retinopathy (PPV, 77.0-96.6%; specificity, 2.2-89.1%) increased after combining them with the laboratory findings, diagnostic studies, and treatment procedures codes. These change trends were observed similarly for both hospitals. Conclusions: Defining diabetic microvascular complications using ICD-10 codes and their related examination codes may be a feasible method for studying diabetic complications.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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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.