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Academic literature on the topic 'Retinopatia diabética : Diagnóstico'
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Journal articles on the topic "Retinopatia diabética : Diagnóstico"
Pereira, Júlia Amoroso, Maurício Adriano Trentini Bertolin, Gustavo Daun Cação Pereira, Lucas Costa Corgozinho, Lucas Augusto da Matta Faria, and Mário Sérgio Marques Pereira. "Atualizações sobre retinopatia diabética: uma revisão narrativa." Revista Eletrônica Acervo Saúde, no. 49 (June 4, 2020): e3428. http://dx.doi.org/10.25248/reas.e3428.2020.
Full textBrito, Evandro Scarso de, Maria Helena Pinto, Denise Beretta, Lilian Cristina De Castro Rossi, Thiare Júnia De Francisco Brito, and Rildo César Nunes Czorny. "Associação entre diabetes mellitus e doenças oculares em pessoas com deficiência visual." Revista Enfermagem UERJ 28 (December 7, 2020): e49109. http://dx.doi.org/10.12957/reuerj.2020.49109.
Full textCunha Costa, Eduardo, Walter Helene Nunes Cazarotto, João Carlos Diniz Arraes, and Rejanne Lima Arruda. "ANÁLISE DE PREVALÊNCIA DE RETINOPATIA DIABÉTICA EM PACIENTES ATENDIDOS NO HOSPITAL DE OLHOS DO TOCANTINS NO ANO DE 2020." Revista interdisciplinar em saúde 8, Único (March 11, 2021): 520–33. http://dx.doi.org/10.35621/23587490.v8.n1.p520-533.
Full textDos Reis, Maria Angélica Otero de Melo, Antônio Bosi Castro De Oliveira, Bárbara Camargo Levy, Fernanda Marinho De Souza, Giovana Nunes De Assunção, Isabele Dória Cabral Correia, Júlia Morais De Moura, Maryana Duarte Costa, Thayna de Andrade Romeu Alexandre, and Guilherme Leif Vieira Musse. "Complicações cardiovasculares em pacientes com Diabetes Mellitus Tipo 2." Revista Eletrônica Acervo Saúde 13, no. 3 (March 30, 2021): e6426. http://dx.doi.org/10.25248/reas.e6426.2021.
Full textPedrosa, Dyndara Rodrigues, Emanuelle Oliveira Lemos, Débora Cristina de Abreu Gonçalves, Perla Suely Gaia Raniéri, Carla Andréa Avelar Pires, and Valter Resende de Paiva. "Prevalência de retinopatia diabética em pacientes atendidos pela Estratégia Saúde da Família no município de Ananindeua - PA." Revista Brasileira de Medicina de Família e Comunidade 8, no. 26 (June 30, 2012): 58–63. http://dx.doi.org/10.5712/rbmfc8(26)394.
Full textBenevides Damasceno, Márcia, Laura Da Silva Girão Lopes, Edgar Marçal de Barros Filho, and Marcos Kubrusly. "Dispositivos móveis como ferramentas facilitadoras no processo de ensino-aprendizagem em fundoscopia." RENOTE 17, no. 3 (December 31, 2019): 386–96. http://dx.doi.org/10.22456/1679-1916.99522.
Full textPinheiro, Anielli, Lúcia H. B. Tácito, and Antônio C. Pires. "Extrema resistência à insulina subcutânea e intramuscular em diabetes melito tipo 1." Arquivos Brasileiros de Endocrinologia & Metabologia 55, no. 3 (April 2011): 233–37. http://dx.doi.org/10.1590/s0004-27302011000300010.
Full textOviedo, Nelson, and Rodrigo Emilio Moya Ramírez. "Retinopatía diabética." Mediciencias UTA 3, no. 3 (September 3, 2019): 11. http://dx.doi.org/10.31243/mdc.uta.v3i3.204.2019.
Full textAbuauad, Sergio, Pablo Guzmán, and Christian Urzúa. "Prevalencia de retinopatía diabética y edema macular en población diabética del CESFAM Cordillera Andina de Los Andes." Revista Chilena de Salud Pública 18, no. 1 (April 6, 2014): 81. http://dx.doi.org/10.5354/0719-5281.2014.30759.
Full textTobaru-Miyashiro, Luis, and Miguel Guzmán-Ahumada. "Retinopatía diabética." Diagnóstico 58, no. 2 (December 17, 2019): 85–90. http://dx.doi.org/10.33734/diagnostico.v58i2.8.
Full textDissertations / Theses on the topic "Retinopatia diabética : Diagnóstico"
Rebelo, Tiago André Andrade. "Retinopatia diabética: uma revisão bibliográfica." Master's thesis, Universidade da Beira Interior, 2008. http://hdl.handle.net/10400.6/859.
Full textSilva, Carla Sofia Caria da. "Retinopatia diabética: relatório de estágio." Master's thesis, Universidade da Beira Interior, 2012. http://hdl.handle.net/10400.6/1141.
Full textDiabetes Mellitus is now a serious social problem throughout the Western world for being the leading cause of blindness in the economically active population. This pathology has repercussions throughout the body, being diabetic retinopathy ophthalmological complication of greater importance, and on which this paper focuses. The morphological changes of vascular walls along with the increased permeability of bloodretinal barrier are the primary changes of diabetic retinopathy, only detectable in the incipient stages of the disease through histological preparations or on the day of fluorescein angiography. The Diabetic Retinopathy then evolves between different clinical stages, which are defined by different ophthalmological present. The microaneurysms are the first findings detected by ophthalmoscopy, and subsequent to these are the first areas of capillary occlusion, retinal hemorrhages and hard exudates. Disease progression leads to a more advanced stage, in which appear the first signs of ischemia culminating in the appearance of new vessels. Neovascularization together with macular edema, being the main responsible for the decrease of visual acuity in diabetic patients constitute a clinical picture with a worse prognosis. The more or less rapid progression of the disease is associated with conditions that the subject can not control, such as age or type of diabetes, but also depends on several factors at your own risk, as nutrition, regular administration of medication and a good metabolic control. The best treatment is to monitor all these factors, vigilantly which associated with a healthy lifestyle allows a better prognosis for the patient. More advanced forms of diabetic retinopathy require to surgical treatment by photocoagulation and / or vitrectomy. As these techniques rarely allow full recovery of vision, and because they often cause irreversible damage the best option is prompt diagnosis and thorough monitoring by professionals of vision, in an early stage of the disease, to delay the possible complications that succeed it.
Dias, Marcy Carolina de Abreu. "Deteção de estruturas retinianas no diagnóstico da retinopatia diabética." Master's thesis, Instituto Politécnico de Bragança, Escola Superior de Tecnologia e Gestão, 2012. http://hdl.handle.net/10198/8212.
Full textThe optic disc is an area of convergence of blood vessels and plays an important role in automatic diagnostic systems because its location defines the region of diagnosis which can locate the macula and to define a region which doesn’t contain retinal lesions. This anatomical region presents its own characteristics, which distinguishes it from the rest of the image, due to the fact that under normal conditions it has a bright yellow colour and a circular shape. The segmentation of the optic disc, apart from being important in several preprocessing developed algorithms for automatic extraction of anatomical structures and the detection of lesions in the retina, is also an indicator of various ophthalmic pathologies, such as diabetic retinopathy and glaucoma, which is one of the most common causes of blindness. However, the contour of this anatomical structure acts also as a reference to measure other parameters that, as is the case with the aspect of its rounded contour. This report presents two automatic methods to detect the optic disc. Both are based on the blood vessels segmentation, but they differ in the method of identification of the region of interest. Thus, the first method of identifying the region of interest is based on the calculation of entropy, while the second method is based not only on the calculation of entropy, but also in an ant colony optimization. Furthermore, the method of optic disc location is based on pattern matching. The methods were tested in 1321 retinopathy images, based on three public databases: DRIVE, STARE and MESSIDOR. The first method located correctly all the 40 images of the set DRIVE (100 %), in 75 of the 81 images of the set STARE (92,59%) and 370 of 1200 images of MESSIDOR (69,17%). The second method located the optic disc in all images in the DRIVE database (100 %), failed in 4 images in the STARE database (95,06%) and in 48 (96,00%) of the MESSIDOR database.
Almeida, Jacinta Marisa de Jesus. "Suspeita de retinopatia diabética, adaptação de LC multifocais, excesso de convergência." Master's thesis, Universidade da Beira Interior, 2013. http://hdl.handle.net/10400.6/1501.
Full textDuring the stage in Ocular Eye Care I came across several clinical cases with different degrees of difficulty. This report relates only three of these cases, each case consists of an introduction, data collected in optometric tests, as well as the diagnosis, treatment, and follow-up discussion. The themes of the clinical cases included in this report are: suspected of diabetic retinopathy, adaptation of multifocal contact lenses and convergence excess.
Rosses, Ana Paula Oliveira. "Estudo da acurácia da fotografia digital para rastreamento de retinopatia diabética na atenção primária." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/143086.
Full textIntroduction We must study alternatives to structure an effective diabetic retinopathy screening program. Objectives Evaluate the diagnostic performance of retinal digital photography for diabetic retinopathy screening in primary care (PC), accuracy of the family physician (FP) in DR identification compared to the ophthalmo1ogist, and the need for di1ation. Methodology In a PC service were performed retinal photographs with non-mydriatic Retina! Camera in 219 type 2 diabetic patients with and without medication mydriasis. The photographs were graded by three FP with training and two ophthalmo1ogists (go1d standard). We calculated sensitivity, specificity, accuracy and agreement through the rate of agreement and Kappa adjusted. Results The prevalence of DR and PDR was 19.2% and 1.5%, respective1y. The sensitivity of FP to evaluate DR averaged 82.9% (66.7% to 94.8%); specificity, 92% (90.2% to 93.3%); the accuracy, 90.3% (88.2% to 93%). The agreement calculated using the kappa adjusted coefficient was from 0.74 to 0.8 for retinopathy and 0.88 to 0.92 for macular edema. Photos were unreadab1e by 14.8% without 8.7% after midryasis (McNemar test p <0.005). Age was associated with photo readabi1ity. Conclusion Trained FP reached a good performance for evaluation ofretinography for DR There was improvement in readability with pupi1 di1ation in o1der patients.
Mendes, Charles Corrêa. "Classificação de imagens de retina para auxílio a diagnóstico de retinopatia diabética via detecção de exsudatos duros, com base em classificadores robustos, máquinas de vetores de suporte e algoritmos com treinamento de dicionários." reponame:Repositório Institucional da UnB, 2017. http://repositorio.unb.br/handle/10482/24703.
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Esta pesquisa aborda o desenvolvimento e avaliação de um sistema para classificação de imagens de retina como forma de auxílio a diagnóstico da retinopatia diabética. Atualmente, caso não haja tratamento, a retinopatia é a maior causa de cegueira no mundo para as pessoas com Diabetes Mellitus. Sendo assim, como o diagnóstico por imagem é a forma de detecção da doença, o trabalho tem por nalidade desenvolver um sistema com melhor desempenho e praticidade e que possa ser utilizado, por exemplo, em ambientes carentes de serviços de saúde universais, como ferramenta de apoio ao diagnóstico para os profissionais de saúde. O método tradicional de classificação de imagens médicas utiliza extração de características, porém muitas vezes pode ocorrer a perda de informações importantes na imagem que serviriam para um diagnóstico mais preciso. Por isso, o intuito é comparar algoritmos de classificação de imagens com algumas características propostas e também com algoritmos que dispensam extração de características por meio de treinamento de dicionários. Para isso, a ideia é implementar a classificação utilizando-se classificadores frequentemente usados, como Support Vector Machine (SVM) e do tipo Comitês, além de um método mais recente que explora o treinamento de dicionários simultaneamente ao treinamento do classificador, o chamado Learning Algorithm for Soft-thresholding Classi er (LAST). Além disso, avalia-se a utilização de algumas ferramentas que possam melhorar o desempenho da classificação como análise de componentes principais (PCA, do inglês Principal Component Analysis ) e o uso da transformada discreta de Fourier para extração de características espectrais. Testes de hipóteses realizados após avaliação sistemática do sistema mostraram que a classificação usando o método do LAST com PCA teve melhor desempenho nas comparações com o classificador do tipo Comitê com o PCA com nível de significância de 98% e com o SVM com PCA com nível de significância de 99:99%. Já na comparação entre o classificador do tipo Comitês com PCA e SVM com PCA, o método do tipo Comitês obteve resultado melhor com nível de significância de 99:99%. Outros testes de hipóteses mostraram que as três classificações possuem acurácia superior a 0:8 com nível de significância de 91% para o LAST, 99:99% para o classificador do tipo Comitês e 99% para o SVM. Em experimentos com outras variáveis, tendo a Medida-F como parâmetro obteve-se a seguinte ordem de desempenho: LAST com PCA e o módulo da Transformada de Fourier (0.88), LAST (0.75), LAST com módulo de Fourier (0.70), LAST com PCA e fase de Fourier (0.65) e LAST com fase de Fourier (0.60). A análise no plano Receiver Operating Characteristic mostrou que as classificações da imagens com SVM com PCA, do tipo Comitês com PCA, LAST com PCA, LAST e LAST com o módulo da transformada de Fourier e PCA possuem boa relação entre verdadeiros positivos e falsos negativos, o mesmo não acontece nos casos do LAST módulo da transformada de Fourier, LAST com fase da transformada de Fourier e PCA e no LAST com a fase da transformada de Fourier Ao nal, conclui-se que no treinamento com o uso de dicionários, sem a extração prévia de características, o LAST obteve melhor acurácia média (0.84) do que a acurácia comumente encontrada na literatura (0.8) e com as acurácias médias encontradas na pesquisa usando o classificador do tipo Comitês (0.81) e o SVM (0.79). Estes resultados sugerem que algumas configurações propostas, sobretudo a do LAST aplicado diretamente a imagens de retina, podem auxiliar o diagnóstico de retinopatia diabética, dados os índices de verdadeiros positivos encontrados e os baixos índices de falsos negativos. Em trabalho futuro, o autor pretende combinar técnicas de aprendizagem profunda com as abordagens aqui empregadas, para avaliar o impacto sobre as métricas de desempenho, com base em bancos de imagens maiores a serem obtidos em parcerias de pesquisa.
This research is the development and evaluation of a system to classify retinal images as a way to assist in the diagnosis of diabetic retinopathy. Currently, if there is no treatment, the retinopathy is the largest cause of blindness in the world for people with Diabetes Mellitus. Thus, as imaging diagnosis is the form of detection of the disease, the purpose of the work is to develop a system with better performance and that can be used, for example, in environments lacking universal health services, as a tool for support for health professionals. The traditional method of medical imaging uses extractions of features, but often there is a loss of important information in the image that would serve a more accurate diagnosis. Therefore, the aim is to compare algorithms of image classi cation with some characteristics proposed and also with algorithms that do not require extraction of features through the training of dictionaries. For this, the idea is to implement classi cation using frequently used classi ers, such as Support Vector Machine (SVM) and Ensemble, as well as a more recent method that explores the training of dictionaries simultaneously to training Classi er, the Learning Algorithm for Soft-thresholding Classi er (LAST). In addition, it is evaluated the use of some tools that can improve the classi cation performance as main component analysis (PCA) and use of the discrete fourier transform to extract spectral features. Hypothesis tests performed after systematic evaluation showed that the classi cation using the LAST method with PCA performed better in the comparisons with the Ensemble with the PCA with a level of signi cance 98% and with the SVM with PCA With a level of signi cance 99:99%. In the comparison between Ensemble with PCA and SVM with PCA, the Ensemble method obtained a better result with a level of signi cance 99:99%. Other hypothesis tests showed that all three classi cations had accuracy above 0:8 with a level of signi cance 91% for LAST, 99:99% for Ensemble and 99% for SVM. In the experiments with other variables, the performance of F-measure order was obtained: LAST with PCA and Fourier transform (0.88), LAST (0.75), LAST with Fourier module (0.70), LAST with PCA and Fourier phase (0.65) and LAST with Fourier phase (0.60). The analysis in the Receiver Operating Characteristic plane showed that the classi cations of SVM images with PCA, Ensemble with PCA, LAST with PCA, LAST and LAST with the Fourier transform module and PCA have a good relationship between true positives and false negatives, the same does not happen in the cases of LAST Fourier transform module, LAST with Fourier transform phase and PCA, and LAST with the Fourier transform phase. Finally, we conclude that dictionary training without the previous extraction of features with the LAST obtained a better average accuracy (0.84) than the accuracy commonly found in the literature (0.8) and with the average accuracy Found in the search using Ensemble (0.81) and SVM (0.79). The research shows that the classi cation using LAST would help in the diagnosis of diabetic retinopathy, because the system presented good index of true positives and low index of false negatives. In future work, the authors intend to combine deep learning techniques with the approaches used here to evaluate the impact on performance metrics, based on larger database to be obtained in research partnerships.
Rêgo, Sara Margarida Sousa de Faria. "Degenerescência macular relacionada com a idade." Master's thesis, Universidade da Beira Interior, 2012. http://hdl.handle.net/10400.6/1162.
Full textThe age-related macular degeneration is a debilitating degenerative disease of the retina, chronic evolution, manifested clinically after 50 years of age. Hits the central region of the retina, the macula, responsible for the precise vision [1]. The age-related macular degeneration is the leading cause of visual loss in developed countries and third overall cause of blindness. Therefore represents an important public health problem since the population is growing older and that the quality of life of older people is a central concern of doctors and government [1]. Its prevalence increases with age, occurring in 14.4% of people aged 55 to 64 years old, 19.4% from 65 to 74 years and 36.8% above 75 years of age [2]. It is developed in two phases: an early stage (early age-related macular degeneration), represented by soft drusen and macular pigment alterations, and a delayed phase (late agerelated macular degeneration) comprising two forms, one atrophic and one exudative, represented at the level of the ocular end, by serous detachment of the pigment epithelium, choroidal neovascularisation, macular disciform scars. The atrophic form represents about 80% of AMD and the exudative form occurs in approximately 20% of cases, presenting, however, a greater responsibility in terms of irreversible vision loss (90% of cases) [3]. Although the exact pathogenesis of macular degeneration is not fully understood, their development has been attributed to a combination of oxidation, inflammation and pathologic changes related to age, occurring in various ocular structures. These structures include photoreceptors cells of the retina, retinal pigment epithelial tear, Bruch's membrane and choriocapillaris [2]. The causal factors of macular degeneration can be classified into two groups: primary causal factors and secondary causal factors. The primary causal factors are aging and genetics, while the secondary are the causal factors that aggravate the injury derived from primary causes such as cardiovascular diseases, smoking, and exposure to intense sunlight. The disease manifests itself with the following symptoms: low visual acuity, distorted vision (metamorphopsia), central scotoma. Recently, the diagnosis and treatment of this pathology has been significantly enriched. Fluorescein angiography, essential for the diagnosis, the use of indocyanine green angiography and optical coherence tomography have enabled the increase in knowledge about the forms of the disease, its progression, staging, treatment and follow-up. However, despite its high prevalence, there is no proven treatment to prevent the risk of progression of this pathology. In particular, there is no treatment for atrophic form. In respect to exudative form, laser photocoagulation has been an accepted treatment in spite of their limitations. Many other treatments have been developed, such as photodynamic therapy and transpupillary thermotherapy. The arrival of anti-VEGFs revolutionized the treatment of this disease and the results are very encouraging [4]. The preventive treatments are not yet available; however, current recommendations suggest that the use of antioxidant vitamins or mineral supplements have a role in the onset of prophylactic age-related macular degeneration. Patients should be encouraged to have a diet rich in vitamins C and E, zinc, lutein, zeaxanthin and omega-3 fatty acids. Other important measures are to avoid excess weight, quitting smoking, treating high blood pressure and protect the eyes from sunlight. Patients should also see their eye doctor regularly and monitor their vision using the Amsler grid test. Without treatment, the clinical course is in all cases, chronic and leads to irreversible loss of visual acuity.
Freitas, Luísa Matias de. "Retinopatia diabética." Master's thesis, 2009. http://hdl.handle.net/10400.6/3610.
Full textRibeiro, Maria Luísa Ferreira Soares e. Silva Reis. "Caraterização das fases iniciais da retinopatia diabética. Diagnóstico precoce e biomarcadores da atividade da retinopatia." Doctoral thesis, 2016. http://hdl.handle.net/10316/30552.
Full textAs terapêuticas atualmente existentes para a retinopatia diabética têm apenas indicação quando estão presentes as complicações ameaçadoras de perda de visão (edema macular diabético e retinopatia diabética proliferativa) e incluem a fotocoagulação por laser, as injeções intravítreas de fármacos inibidores dos fatores de crescimento endotelial vascular e/ou corticosteróides e a vitrectomia. São tratamentos invasivos e apenas estão indicados em fases avançadas da retinopatia diabética, quando a perda de visão pode já ser irreversível. Perante esta perspetiva, o desenvolvimento e a validação de tratamentos eficazes nas fases precoces da doença retiniana, quando o processo pode ainda ser reversível, e antes de ocorrer a perda de visão, são a maior prioridade atual da investigação clínica da retinopatia diabética. É neste contexto que se situa a nossa contribuição, focada no objetivo de identificar precocemente e tratar de forma atempada os olhos/doentes que apresentam risco de progressão da retinopatia diabética e também na caracterização de biomarcadores de risco de progressão desta patologia para as complicações causadoras de perda de visão. Apresentamos o rastreio sistemático realizado na zona centro de Portugal, que utiliza um novo método de identificação de lesões de retinopatia diabética, os microaneurismas/red-dots, através de um softwareautomático (RetmarkerSR) e uma nova escala de classificação de lesões de retinopatia diabética. As metodologias utilizadas têm a vantagem de diminuir a sobrecarga humana na classificação das imagens da retina, reduzindo os custos e permitindo uma triagem atempada dos doentes que necessitam de tratamento. Analisamos as opções feitas e os resultados obtidos, que validam o programa realizado. Por outro lado, reconhece-se atualmente que a retinopatia diabética tem diferentes taxas de progressão em diferentes indivíduos, mesmo quando o controlo metabólico e a duração da diabetes mellitus são semelhantes. Neste âmbito, o outro tema que abordamos refere-se à identificação de biomarcadores de progressão nas fases precoces da retinopatia diabética, dos quais destacamos o turnover dos microaneurismas como tradutor da atividade desta doença ocular. A medida destes parâmetros de atividade dos microaneurismas revelou-se capaz de identificar precocemente olhos/doentes que estão em risco de desenvolver as complicações de retinopatia diabética, criando a possibilidade de efetuar um acompanhamento mais eficaz, prevenindo a perda de visão. Com base nos resultados obtidos, será possível, agora, identificar doentes em risco de progressão da retinopatia diabética, que cumpram critérios para serem preferencialmente incluídos em ensaios clínicos, com o objetivo de estudar potenciais tratamentos aplicados nas fases iniciais da retinopatia diabética. Entendemos que é fundamental investir na medicina preventiva. Neste âmbito, revelam-se importantes as metodologias atrás descritas. O nosso trabalho compreendeu os seguintes passos principais: Introdução, onde descrevemos sucintamente a história natural, a caracterização clínica e a progressão da retinopatia diabética e a relevância do seu diagnóstico precoce; O rastreio de retinopatia diabética e a sua melhoria por um sistema computorizado em que destacamos a nossa contribuição pessoal; A nossa contribuição pessoal sobre a formação e o desaparecimento dos microaneurismas (turnover dos microaneurismas) como indicadores da atividade da doença retiniana na diabetes mellitus e o seu papel na identificação dos olhos em risco de progressão. Os nossos estudos apontam, portanto, para um conceito atualizado do acompanhamento e tratamento da retinopatia diabética, que inclui o rastreio regular sistemático e a identificação precoce de olhos em risco de progressão.
The currently existing therapies for diabetic retinopathy are only indicated in cases of sight threatening diabetic retinopathy (diabetic macular edema and proliferative diabetic retinopathy) and consist of laser photocoagulation, of intravitreal injections of vascular endothelial growth factor inhibitors and/or corticosteroid drugs and vitrectomy. All these forms of treatment are invasive and, therefore, only indicated in advanced stages of diabetic retinopathy, when vision loss may become irreversible. From under this standpoint, the development and validation of effective treatments in the early stages of the retina disease, when the process can still be reversible and before vision loss happens, have become the utmost priority in current diabetic retinopathy clinical research. In this framework, the core of our contribution is focused not only in the early identification and subsequent treatment of the eyes/patients presenting risk of diabetic retinopathy progression but also in the characterization of this disease risk progression biomarkers that have to do with complications leading to vision loss. The screening that was held in the centre area of Portugal uses a new diabetic retinopathy lesion identification method –the microaneurysms /red-dots, by means of an automated system –the RetmarkerSR – as well as a new classification scale of diabetic retinopathy lesions. The methodologies that have been followed hold the advantages of permitting the use of a lower amount of human resources to rate the retina images, reducing costs while still allowing a timely selection of all the patients in need of treatment. We analyse the choices made as well as the results we obtained, which validate the programme we carried out. On the other hand, at the present time it is commonly acknowledged that diabetic retinopathy has diverse progression rates in different individuals even if the control of metabolism and the duration of diabetes mellitus are similar. In this specific context, we approach another issue regarding the identification of progression biomarkers in early stages of diabetic retinopathy, of which we would like to highlight the microaneurysms’ turnover, as an indicator of the disease activity. The measurement of the above mentioned microaneurysms’ activity parameters has made it possible to identify eyes/patients that risk developing diabetic retinopathy complications, opening up opportunities for early recognition and making way for more effective monitoring, contributing to the prevention of vision loss. The gathered data will allow the detection of patients who may be risking diabetic retinopathy progression so as to include them in clinical trials as preferential subjects, should they meet all the necessary criteria. These clinical trials aim at studying potential treatments to be received in the early stages of diabetic retinopathy. We strongly believe that preventive medicine is of paramount importance and as such the above-described methodologies have proven and still prove to be adequate and important. The general outline of the present study is as follows: – Introduction, a brief description of the natural history of diabetic retinopathy is included as well as its clinical characterization, its progression and the importance of its early diagnosis; – The screening for diabetic retinopathy and its improvement by means of an automated system, over which our personal contribution is highlighted; – Our personal contribution about the formation and the disappearance of the microaneurysms (microaneurysms’ turnover) as indicators of the activity of the disease of the retina in the diabetes mellitus and its role in the detection of eyes in risk of progression. Our research points to an updated concept of monitoring and treatment of diabetic retinopathy. Thus, the treatment of the disease implies a regular and systematic screening and the early recognition of the eyes at risk of progression.
Neves, Carlos André Caceiro. "Launch of the application retmarker." Master's thesis, 2010. http://hdl.handle.net/10316/14078.
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