Comprehensive assessment of glaucoma in patients with high myopia: a systematic review and meta-analysis with a discussion of structural and functional imaging modalities.

PURPOSE: The interplay between myopia and glaucoma has gained attention, with escalating myopia demonstrating a significant association with increased POAG rates, particularly in patients with severe myopia. This systematic review aimed to comprehensively analyze the relationship between myopia and glaucoma, focusing on the structural and functional implications, risk factors, and assessment modalities. Optical coherence tomography (OCT) played a crucial role in this study, particularly in highly myopic populations. METHODS: This study's rigor is underscored by using the PRISMA guidelines, which ensured a meticulous search strategy was employed across multiple databases from 2012 to 2024. The inclusion criteria included individuals aged 18 years or older with high myopia, defined as a spherical equivalent of less than -6.0 diopters or an axial length > 26.0 mm, diagnosed with chronic glaucoma. Various study designs were incorporated, including randomized controlled trials, prospective cohort studies, and observational studies. Quality assessment was performed using the Jadad Scale, and statistical analyses were performed to summarize the study characteristics and outcomes. RESULTS: Of the 350 initial articles, 15 met the inclusion criteria. OCT assessments revealed structural changes such as thinning of the retinal nerve fiber layer preceding functional losses. Meta-analyses demonstrated a heightened risk of POAG with increasing myopia severity, showing a significant nonlinear relationship. This meta-analysis of six studies involving 3040 patients revealed a relationship between myopia and glaucoma (OR = 12.0, 95% CI 10.1-4.7, P < 0.00001). CONCLUSION: This comprehensive analysis consolidates the evidence of the relationship between myopia and glaucoma, emphasizing the pivotal role of OCT and other imaging modalities in early detection and monitoring.

Glaucoma is a significant cause of permanent blindness worldwide. This causes damage to the visual nerve that worsens over time. The primary way to treat open-angle glaucoma and its many causes is to lower eye pressure. Further research is being conducted to determine the relationship between nearsightedness and glaucoma. Increased nearsightedness is significantly linked to higher rates of glaucoma, especially in people with severe nearsightedness. This review aimed to examine the link between myopia and glaucoma in greater depth, focusing on structural and functional effects, risk factors, and assessment methods, especially optical coherence tomography (OCT), in very nearsighted people. We conducted a thorough search of several databases between 2012 and 2024. Individuals aged 18 years or older with myopia greater than six diopters or an axial length greater than 26 mm and a diagnosis of chronic glaucoma were eligible. Randomized controlled trials, prospective cohort studies, and observational studies were some of the methods used in this study. The quality of the work and statistical methods were used to summarize the features and results of the study. Of the 350 articles initially published, only 15 met the inclusion criteria. These studies mostly used different optical tomography tests to detect structural changes, such as ocular nerve fiber layer damage, before functional loss. According to meta-analyses, the risk of chronic glaucoma increases as myopia worsens, indicating a solid nonlinear relationship. Myopia and glaucoma are linked, demonstrating the importance of thorough evaluation. Severe myopia is strongly associated with damage to the visual nerve. Over the past few years, optical tomography has become a vital imaging tool for identifying early damage to the optic nerve. However, further research is needed on the sex-related tendencies of glaucoma patients. This study provides data that reveal a link between nearsightedness and glaucoma, highlighting the importance of optical tomography and other imaging techniques for early detection and monitoring. To better manage glaucoma in highly myopic individuals, we need to understand how the severity of myopia, changes in structure, and changes in function affect each other.

Segmentação do lúmen em imagens de IOCT usando Fuzzy Connectedness e Reconstrução Binária Morfológica / Lumen Segmentation in IOCT images using Fuzzy and Binary Morphological Reconstruction

No ano 2010, doenças cardiovasculares (CVD) causaram 33% do total das mortes no Brasil. Tomografia Ótica Coerente Intravascular (IOCT) é uma tecnologia que oferece imagens in vivo para detecção e monitoramento da progressão de CVD. O exame de IOCT permite mais precisão no diagnóstico; contudo, ainda é pequena a variedade de métodos quantitativos aplicados a IOCT na literatura, em comparação à outras modalidades relacionadas. Portanto neste trabalho é proposto um método de segmentação do lúmen, baseado em uma combinação de Fuzzy Connectedness, com múltiplas funções de afinidade, e Operações Morfológicas. As funções de afinidade usadas neste trabalho são: (I) Clássica, (II) Pesos Dinâmicos e (III) Bhattacharyya. Esta última é baseada no coeficiente de Bhattacharyya, utilizado habitualmente para speckle tracking. Primeiro, características não desejadas da imagem são atenuadas. Depois, informações da parede do vaso são obtidas utilizando Fuzzy Connectedness e um processo de binarização dinâmico. Finalmente, operações morfológicas são realizadas para melhorar o lúmen segmentado. Para avaliar o método proposto, um conjunto de 130 imagens advindas de humanos, porcos, e coelhos foram segmentadas e comparadas com seus respectivos "Gold Standards" feitos por especialistas. Uma média de verdadeiros positivos (TP%) = 98,08 e de falsos positivos (FP%) = 2,34 foram obtidas. Com isso, o método proposto resultou em uma maior eficácia do que os estudos publicados anteriormente, encorajando seu uso.

In 2010 cardiovascular disease (CVD) caused 33% of the total deaths in Brazil. Intravascular Optical Coherent Tomography (IOCT) is an imaging technology that provides in vivo detection and monitoring of the progression of coronary heart disease. IOCT exam allows more accurate diagnoses; nonetheless, the set of quantitative methods applied to IOCT in the literature is small compared to other related modalities. Therefore, the proposed approach presents a lumen segmentation method, based on a combination of Fuzzy Connectedness, with multiple affinity functions, and Morphological Operations. The affinity functions used in this work are: (I) classical, (II) Dynamic weights (III) Bhattacharyya. The latter is based on the Bhattacharyya coefficient, commonly used for speckle tracking. Firstly, unwanted features of the image are attenuated. Then, vessel-wall information is obtained using Fuzzy Connectedness and dynamic binarization process. Finally, morphological operations are performed to improve the segmented lumen. To evaluate the proposed method, a set of 130 images from humans, pigs and rabbits were segmented and compared to their corresponding gold standard made by experts. An average of true positive (TP%) = 98.08, and false positive (FP%) = 2.34 were obtained. Hence, the use of the proposed method is suggested since it has yielded higher efficiency than previously published studies.