Diabetic macular edema. Epidemiology, pathogenesis, diagnosis, clinical features, treatment

Amirov, A N; Наилевич, Амиров Айдар; Abdulaeva, E A; Абдулаевна, Абдулаева Эльмира; Minkhuzina, E.L.; Ленаровна, Минхузина Элина

doi:10.17750/kmj2015-070

Cited by 18 publications

(3 citation statements)

References 38 publications

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“…Diabetic retinopathy (DR) is often found in diabetes patients, triggering severe complications [ 6 , 17 , 19 ]. If timely treated, vision loss can be prevented in more than 50% of cases [ 1 , 2 , 4 , 7 , 20 ]. A key instrument for treatment of diabetic retinitis is laser photocoagulation, in which a series of well-measured photocoagulates are inflicted on retina areas with pathology [ 3 , 11 , 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Intelligence in Ophthalmology for the Diagnosis and Treatment of Eye Diseases

Ilyasova

Демин²

2022

Pattern Recognit. Image Anal.

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In this paper, we present the main aspects of artificial intelligence application in ophthalmology for the diagnosis and treatment of eye diseases on the example of developing a computer system for personalizing retinal laser photocoagulation. Approaches to the automation of eye disease prediction and treatment based on fundus images are described. Four problems of applying the neural network approach are highlighted. Decision support information technology for personalizing laser treatment of diabetic macular edema and identifying prognostic factors of surgical outcome using methods of intellectual analysis of large unstructured data is described. The system allows the doctor to form a plan of optimal coagulation arrangement for retinal laser coagulation for each case, to predict the quality of laser coagulation depending on the initial data on the localization and severity of edema and to improve his skills by comparing the result of coagulation performed and the coagulation plan proposed by the system.

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Section: Introductionmentioning

confidence: 99%

Application of Artificial Intelligence in Ophthalmology for the Diagnosis and Treatment of Eye Diseases

Ilyasova

Демин²

2022

Pattern Recognit. Image Anal.

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“…One of the most severe complications of DRP is diabetic macular edema (DME), which can lead to blindness [7][8][9][10][11] (Figure 1). According to the Wisconsin Epidemiological Study of Diabetic Retinopathy (WESDR), if the duration of DM exceeds 20 years, retinopathy is detected in 80-100% of cases, while DME develops in 29% of cases [12,13]. Currently, considerable attention is being paid to the development of methods and algorithms for analyzing fundus images in order to detect anomalies [14], perform their segmentation and classification [15,16], and automate medical diagnostics [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment

et al. 2021

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Diabetic retinopathy is among the most severe complications of diabetes, most often leading to rapid and irreversible vision loss. The laser coagulation procedure, which consists of applying microburns to the fundus, has proven to be an effective method for treating diabetic retinopathy. Unfortunately, modern research does not pay enough attention to the study of the arrangement of microburns in the edema area—one of the key factors affecting the quality of therapy. The aim of this study was to propose a computational decision-making support system for retina laser photocoagulation based on the analysis of photocoagulation plans. Firstly, we investigated a set of prognostic factors based on 29 features describing the geometric arrangement of coagulates. Secondly, we designed a technology for the intelligent analysis of the photocoagulation plan that allows the effectiveness of the treatment to be predicted. The studies were carried out using a large database of fundus images from 108 patients collected in clinical trials. The results demonstrated a high classification accuracy at a level of over 85% using the proposed prognostic factors. Moreover, the designed technology proved the superiority of the proposed algorithms for the automatic arrangement of coagulates, predicting a 99% chance of a positive therapeutic effect.

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“…Îñíîâíîþ ïðè÷èíîþ ³íâàë³äè-çàö³¿ âíàñë³äîê óðàaeåíü çîðó ïðè öóêðîâîìó ä³àáåò³ 2 òèïó (ÖÄ2Ò) îäíèì ç îñíîâíèõ óñêëàäíåíü º ä³à-áåòè÷íà ðåòèíîïàò³ÿ (ÄÐ) òà ä³àáåòè÷íà ìàêóëîïàò³ÿ (ÄÌÏ) [5,7,8]. Âaeå ÷åðåç 10-15 ðîê³â çàõâîðþâàííÿ ç'ÿâëÿþòüñÿ îçíàêè ÄÐ, à ç³ ñòàaeåì ïîíàä 30 ðîê³â 90 % õâîðèõ ìàþòü öå óñêëàäíåííÿ [1,12]. Ïðè íåïðîë³ôåðàòèâí³é ÄÐ ðîçâèòîê ÄÌÏ â³äáóâàºòüñÿ ó 3-38 % ïàö³ºíò³â, ïðè ïðåïðîë³ôåðàòèâí³é -ó 20-63 %, à ïðè ïðîë³ôåðàòèâí³é ÄÐ -ê³ëüê³ñòü çá³ëüøóºòüñÿ ïîíàä 70 % [10].ÄÌÏ ïðîÿâëÿºòüñÿ ó âèãëÿä³ ì³êðîàíåâðèçì, ³íòðàðåòèíàëüíèõ ì³êðîñóäèííèõ àíîìàë³é (²ÐÌÀ), òâåðäèõ åêñóäàò³â, ³øåì³¿ ³ çàäíüîãî â³äøàðóâàííÿ ñêëîâèäíîãî ò³ëà â ìàêóë³, ìàêóëÿðíîãî íàáðÿêó [3,4].…”

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The Surgical Treatment of Diabetic Maculothe Surgical Treatment of Diabetic Maculopathy in Patients With Diabetes Mellitus Type 2: Effectiveness, Complications, Relapsepathy in Patients With Diabetes Mellitus Type 2: Effectiveness, Complications, Relapses

Panchenko¹

2019

Med. Sci. of Ukr.

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Relevance. It’s known a number of surgical treatment methods of diabetic maculopathy (DMP) in diabetes mellitus (DM) type 2: closed subtotal vitrectomy (CSV), which according to the testimony combined with peeling of the inner limiting membrane of the retina (ILM), panretinal laser coagulation of the retina (PRLC) and phacoemulsification of cataract (PEC). Objective. To study the effectiveness of different variants of vitreoretinal interventions, complications and frequency of DMP relapses in patients with type 2 diabetes. To study the effectiveness of different options for vitreoretinal interventions by the number of relapses of the DMP for patients with type 2 DM. Materials and methods. Observed 313 patients with type 2 DM (313 eyes) with DMP and primary (group 1; n=40), moderate or severe non-proliferative diabetic retinopathy (NPDR; group 2; n=92) and proliferative diabetic retinopathy (PDR; group 3; n=181). The severity of retinopathy and DMP was established under the International clinical scale of the American Academy of Ophthalmology (2002). 78 patients underwent CSV; 85 patients in addition to performing the vitrectomy was further held peeling of ILM in the macular region; 81 patient in addition to the CSV and peeling of the ILM was performed PRLC of the retina and in 69 patients additionally to all these interventions were made PEK. For statistical processing of obtained data was performed using the program Statistica 10 (StatSoft, Inc., USA). Results. The effectiveness of surgical treatment DMP was 70.3%; in 1st month follow-up, recurrence was observed in 23.0%; 3 months – 18.2%; 6 months – from 10.2% a year monitoring – 24.9% of patients. Efficiency of used methods was as follows: CSV – 67.9%; CSV + ILM peeling – 72.9%; CSV + ILM peeling + PRLC – 71.6%; CSV + ILM peeling + PLC + PEK – 68.1%. These differences had no statistical significance (p=0.87). Methods of treatment the recurrence rate at different periods of observation did not differ significantly; only after 1 month was more frequent relapses in patients who fulfilled the maximum number of types of operations (CSV, ILM peeling, PRLC and PEK) were 31.9% (p=0.025). When using only the CSV, and in complex use of all surgeries (CSV, ILM peeling, PRLC & FEK) all recurrences were early, of which the majority (77.3 and 80.0%, respectively) had persistent. In other types of surgery, most recurrences (91-96%) were in the early persistent and late. The effectiveness of DMP surgical treatment decreased with worsening of retinopathy and was 72.5% at the primary NPDR; 77.2% at moderate or severe NPDR and 66.3% in the DPR. DPR patients had a greater frequency (33.7%) and greater severity of relapses (the number of late relapses in patients of the 3rd group was higher than that in patients of the 1st and 2nd groups in 2.3 times; p=0.001). Conclusion. The study showed the high effectiveness of all techniques that increasingly depended on the severity of retinopathy was the worst with PDR.

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Diabetic macular edema. Epidemiology, pathogenesis, diagnosis, clinical features, treatment

Cited by 18 publications

References 38 publications

Application of Artificial Intelligence in Ophthalmology for the Diagnosis and Treatment of Eye Diseases

Application of Artificial Intelligence in Ophthalmology for the Diagnosis and Treatment of Eye Diseases

Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment

The Surgical Treatment of Diabetic Maculothe Surgical Treatment of Diabetic Maculopathy in Patients With Diabetes Mellitus Type 2: Effectiveness, Complications, Relapsepathy in Patients With Diabetes Mellitus Type 2: Effectiveness, Complications, Relapses

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