Predicting the Degree of Coronary Artery Stenosis Through Retinal Vascular Characteristics and Minimal Clinical Information

International Journal of General Medicine, Journal Year: 2025, Volume and Issue: Volume 18, P. 585 - 591

Published: Feb. 1, 2025

Purpose: To describe the correlative relationship between fundus vascular characteristics and severity of coronary artery stenosis. Patients Methods: A total 1447 patients scheduled for hospitalization at Beijing Anzhen Hospital Union angiography to assess conditions February 2022 December were selected. Of these, 1418 cases ultimately obtained, with 29 excluded due failure complete or photography. Severity stenosis was assessed using Gensini score. Fundus images obtained via non-dilated photography, retinal arteriovenous diameters, ratios, curvatures, dimensions subsequently measured automatically a computer program. Results: Pearson's correlation coefficients Score found be as follows: The diameters superior temporal (− 0.08), vein 0.03), diameter ratio 0.10), arterial dimension 0.09), 0.06), curvature 0.01). area under curve (AUC) logistic regression modeling binarized (dichotomized into two categories based on cutoff 4 points) dependent variable independent 0.59 ± 0.05 (95% CI). AUC combination clinical information (sex, age, height, weight, smoking history, creatinine, cholesterol, fasting blood glucose) yielded an 0.71 0.07 Conclusion: Coronary is inversely correlated characteristics. limited amount data may serve non-invasive tool predicting presence absence severe in arteries. Keywords: stenosis, score, images, photography

Language: Английский

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Coronary artery and retinal vascularization by optical coherence tomography angiography: are eyes the window to the heart?

Graefe s Archive for Clinical and Experimental Ophthalmology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 15, 2025

Language: Английский

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A novel vessel enhancement method based on Hessian matrix eigenvalues using multilayer perceptron

Bio-Medical Materials and Engineering, Journal Year: 2025, Volume and Issue: 36(2), P. 83 - 97

Published: Jan. 2, 2025

Background: Vessel segmentation is a critical aspect of medical image processing, often involving vessel enhancement as preprocessing step. Existing methods based on eigenvalues Hessian matrix face challenges such inconsistent parameter settings and suboptimal effects across different datasets. Objective: This paper aims to introduce novel algorithm that overcomes the limitations traditional by leveraging multilayer perceptron fit filter function using matrix. The primary goal simplify tuning while enhancing effectiveness generalizability enhancement. Methods: proposed utilizes input for training perceptron-based function. diameter largest blood in dataset only be set. Results: Experiments were conducted public datasets DRIVE, STARE, IRCAD. Additionally, optimal acquisition Frangi Jerman filters are introduced quantitatively compared with approach. Performance metrics AUROC, AUPRC, DSC show outperforms features. Conclusion: findings this study highlight superiority comparison methods. By simplifying settings, improving effects, showcasing superior performance metrics, offers promising solution parts analysis applications.

Language: Английский

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Artificial intelligence in managing retinal disease—current concepts and relevant aspects for health care providers

Wiener Medizinische Wochenschrift, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

Summary Given how the diagnosis and management of many ocular and, most specifically, retinal diseases heavily rely on various imaging modalities, introduction artificial intelligence (AI) into this field has been a logical, inevitable, successful development in recent decades. The practically become showcase for use AI medicine. In article, after providing short overview relevant their socioeconomic impact, we highlight aspects can be applied research, diagnosis, disease is expected to alter patient flows, affecting also health care professionals beyond ophthalmologists.

Language: Английский

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Retinal Microvascular Profile of Patients with Coronary Artery Disease

Medicina, Journal Year: 2025, Volume and Issue: 61(5), P. 834 - 834

Published: April 30, 2025

Background and Objectives: Screening, primary prevention, the early identification of high-risk individuals are crucial for minimising burden cardiovascular diseases (CVDs). In this study, we aimed to evaluate association retinal microvascular features with myocardial dysfunction CVD risk factors in a group patients significant coronary artery disease (CAD) compared newly diagnosed isolated arterial hypertension healthy controls. Materials Methods: We performed single-centre cross-sectional study on 214 divided into three groups: 99 cases CAD, 61 hypertension, control 54 no confirmed pathology. Colour optic disc-centred photographs were taken all cases, following parameters quantified using MONA REVA 3.0.0 software (VITO Health, Mol, Belgium): central arteriolar equivalent, venular arteriovenous ratio, fractal dimension, tortuosity index, lacunarity. Univariable multivariable statistical analyses assess changes CVD. Results: Dyslipidaemia (p = 0.009), systolic blood pressure 0.008), LDL cholesterol 0.003) negatively associated while left ventricular (LV) strain (0.043) was positively CRAE. case CRVE, Agatston score 0.016) proved positive HDL 0.018) negative association. A lower dimension presence diabetes mellitus 0.006), dyslipidaemia 0.011), history acute infarction 0.018), higher increased ejection fraction (LVEF) 0.006) medical treatment 0.005). Lacunarity female gender 0.005), decreased 0.014) LVEF (0.005), age < 0.001) 0.001). The vessel index LV 0.05), 0.043), male 0.006). Conclusions: Retinal may serve as additional stratification tools CVD, particularly pending prospective validation.

Language: Английский

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Retinal optical coherence tomography angiography (OCTA) biomarkers of cardiovascular disease: a review article

Eye, Journal Year: 2025, Volume and Issue: unknown

Published: May 14, 2025

Language: Английский

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Severity Stratification of Coronary Artery Disease Using Novel Inner Ellipse-Based Foveal Avascular Zone Biomarkers

Investigative Ophthalmology & Visual Science, Journal Year: 2024, Volume and Issue: 65(12), P. 15 - 15

Published: Oct. 9, 2024

Given the similarities between retinal and coronary microvasculature, retina holds promising potential to serve as a non-invasive screening tool for artery disease (CAD). We aimed develop novel inner ellipse-based metrics discern whether foveal avascular zone (FAZ) alterations can indicators CAD presence severity.

Language: Английский

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Optical coherence tomography angiography in cardiovascular disease

Progress in Cardiovascular Diseases, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

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Identifying the Abnormalities in Retinal Images Towards the Prediction of Cardiovascular Disease Using Deep Learning

Published: March 21, 2024

One of the main causes death worldwide is cardiovascular disease (CVD). It crucial to discover CVDs early avoid major consequences including heart attacks, strokes, and blindness. Certain alterations in retinal microvasculature, as constriction, tortuosity, dilatation, have been scientifically shown recent research be precursors CVDs. This because blood vessels retina are a direct extension brain, risk factors that affect brain also retina. A dataset fundus images will produced from cohort patients with without calculation Arteriolar Venular Diameter Ratio (AVR) assess risk. attempt employ deep learning techniques such VGG-16 RESNET-50 detect these abnormalities predict

Language: Английский

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Pixel-based Quantification of Retinal Vascular Width using Distance Transform Metric Technique

Published: May 15, 2024

Language: Английский

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