Characterization of the Retinal Microvasculature and FAZ Changes in Ischemic Stroke and Its Different Types

Duan, Hongyu; Xie, Jianyang; Zhou, Yifan; Zhang, Hui; Liu, Yiyun; Tang, Chuhao; Zhao, Yitian; Qi, Hong

doi:10.1167/tvst.11.10.21

Cited by 10 publications

(8 citation statements)

References 42 publications

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“…In another study, Duan et al [ 17 ] applied AI to assess morphological changes in retinal microvasculature and foveal avascular zone (FAZ) using optical coherence tomography angiography (OCTA), including three vascular parameters and four FAZ-related parameters. This investigation demonstrated that retinal microvascular and macular morphology exhibited damage patterns specific to different subtypes of ischemic stroke.…”

Section: Resultsmentioning

confidence: 99%

“… Classification of the included articles according to the image modalities used and the target systemic diseases [ 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 ]. …”

Section: Figurementioning

confidence: 99%

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Diagnosing Systemic Disorders with AI Algorithms Based on Ocular Images

Cao

Grzybowski³

et al. 2023

Healthcare

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The advent of artificial intelligence (AI), especially the state-of-the-art deep learning frameworks, has begun a silent revolution in all medical subfields, including ophthalmology. Due to their specific microvascular and neural structures, the eyes are anatomically associated with the rest of the body. Hence, ocular image-based AI technology may be a useful alternative or additional screening strategy for systemic diseases, especially where resources are scarce. This review summarizes the current applications of AI related to the prediction of systemic diseases from multimodal ocular images, including cardiovascular diseases, dementia, chronic kidney diseases, and anemia. Finally, we also discuss the current predicaments and future directions of these applications.

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Section: Resultsmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Diagnosing Systemic Disorders with AI Algorithms Based on Ocular Images

Cao

Grzybowski³

et al. 2023

Healthcare

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“…The superior peripapillary retinal nerve fiber layer thickness in large artery atherosclerosis patients was significantly thinner than that in small vessel occlusion patients [49]. A study by Duan et al [50] found that vascular dropout may be a potential biomarker of ischemic stroke and its subtypes including lacunar and non-lacunar. The study demonstrated specific damage patterns in retinal microvascular and macular morphology in different subtypes of ischemic stroke.…”

Section: Atherosclerotic Diseasementioning

confidence: 95%

“…They found that lower vascular orientation distribution in the SCP was associated with lacunar infarction compared to non-lacunar infarction. In the DCP, however, they found that a higher FAZ axis ratio and lower FAZ circularity were associated with ischemic stroke, thus suggesting that the deep microvasculature could be more sensitive to ischemic stroke [50]. One study assessed patients with recent small subcortical infarcts and found that VD was significantly reduced in the superficial retinal capillary plexus and DCP of the macula compared to that in controls.…”

Section: Atherosclerotic Diseasementioning

confidence: 99%

The Eye as the Window to the Heart: Optical Coherence Tomography Angiography Biomarkers as Indicators of Cardiovascular Disease

Kellner,

Harris,

Ciulla

et al. 2024

JCM

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Alterations in microvasculature represent some of the earliest pathological processes across a wide variety of human diseases. In many organs, however, inaccessibility and difficulty in directly imaging tissues prevent the assessment of microvascular changes, thereby significantly limiting their translation into improved patient care. The eye provides a unique solution by allowing for the non-invasive and direct visualization and quantification of many aspects of the human microvasculature, including biomarkers for structure, function, hemodynamics, and metabolism. Optical coherence tomography angiography (OCTA) studies have specifically identified reduced capillary densities at the level of the retina in several eye diseases including glaucoma. This narrative review examines the published data related to OCTA-assessed microvasculature biomarkers and major systemic cardiovascular disease. While loss of capillaries is being established in various ocular disease, pilot data suggest that changes in the retinal microvasculature, especially within the macula, may also reflect small vessel damage occurring in other organs resulting from cardiovascular disease. Current evidence suggests retinal microvascular biomarkers as potential indicators of major systemic cardiovascular diseases, including systemic arterial hypertension, atherosclerotic disease, and congestive heart failure.

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“…The results may indicate that the reduction in retinal VD in stroke patients is not related to traditional risk factors for stroke, which makes the use of retinal microvascular parameters to monitor stroke more convincing. In a study by Duan et al, logistic regression results showed that higher FAZ axis ratio and lower FAZ circularity in DCP were associated with ischemic stroke [241]. In addition, Pachade et al using OCTA to observe the retina of patients in the acute phase of ischemic stroke found a significant reduction in SRCP, and DRCP VD of acute stroke patients compared to HC [35].…”

Section: Ischemic Stroke Patient Vs Hcmentioning

confidence: 99%

Optical Coherence Tomography Angiography: Revolutionizing Clinical Diagnostics and Treatment in Central Nervous System Disease

Shen,

Zhang,

et al. 2024

Aging and disease

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Optical coherence tomography angiography (OCTA), as a new generation of non-invasive and efficient fundus imaging technology, can provide non-invasive assessment of vascular lesions in the retina and choroid. In terms of anatomy and development, the retina is referred to as an extension of the central nervous system (CNS). CNS diseases are closely related to changes in fundus structure and blood vessels, and direct visualization of fundus structure and blood vessels provides an effective "window" for CNS research. This has important practical significance for identifying the characteristic changes of various CNS diseases on OCTA in the future, and plays a key role in promoting early screening, diagnosis, and monitoring of disease progression in CNS diseases. This article reviews relevant fundus studies by comparing and summarizing the unique advantages and existing limitations of OCTA in various CNS disease patients, in order to demonstrate the clinical significance of OCTA in the diagnosis and treatment of CNS diseases.

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Characterization of the Retinal Microvasculature and FAZ Changes in Ischemic Stroke and Its Different Types

Cited by 10 publications

References 42 publications

Diagnosing Systemic Disorders with AI Algorithms Based on Ocular Images

Diagnosing Systemic Disorders with AI Algorithms Based on Ocular Images

The Eye as the Window to the Heart: Optical Coherence Tomography Angiography Biomarkers as Indicators of Cardiovascular Disease

Optical Coherence Tomography Angiography: Revolutionizing Clinical Diagnostics and Treatment in Central Nervous System Disease

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