1
|
Xiong Z, Kwapong WR, Liu S, Chen T, Xu K, Mao H, Hao J, Cao L, Liu J, Zheng Y, Wang H, Yan Y, Ye C, Wu B, Qi H, Zhao Y. Association of Retinal Biomarkers With the Subtypes of Ischemic Stroke and an Automated Classification Model. Invest Ophthalmol Vis Sci 2024; 65:50. [PMID: 39083310 PMCID: PMC11290563 DOI: 10.1167/iovs.65.8.50] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 05/17/2024] [Indexed: 08/02/2024] Open
Abstract
Purpose Retinal microvascular changes are associated with ischemic stroke, and optical coherence tomography angiography (OCTA) is a potential tool to reveal the retinal microvasculature. We investigated the feasibility of using the OCTA image to automatically identify ischemic stroke and its subtypes (i.e. lacunar and non-lacunar stroke), and exploited the association of retinal biomarkers with the subtypes of ischemic stroke. Methods Two cohorts were included in this study and a total of 1730 eyes from 865 participants were studied. A deep learning model was developed to discriminate the subjects with ischemic stroke from healthy controls and to distinguish the subtypes of ischemic stroke. We also extracted geometric parameters of the retinal microvasculature at different retinal layers to investigate the correlations. Results Superficial vascular plexus (SVP) yielded the highest areas under the receiver operating characteristic curve (AUCs) of 0.922 and 0.871 for the ischemic stroke detection and stroke subtypes classification, respectively. For external data validation, our model achieved an AUC of 0.822 and 0.766 for the ischemic stroke detection and stroke subtypes classification, respectively. When parameterizing the OCTA images, we showed individuals with ischemic strokes had increased SVP tortuosity (B = 0.085, 95% confidence interval [CI] = 0.005-0.166, P = 0.038) and reduced FAZ circularity (B = -0.212, 95% CI = -0.42 to -0.005, P = 0.045); non-lacunar stroke had reduced SVP FAZ circularity (P = 0.027) compared to lacunar stroke. Conclusions Our study demonstrates the applicability of artificial intelligence (AI)-enhanced OCTA image analysis for ischemic stroke detection and its subtypes classification. Biomarkers from retinal OCTA images can provide useful information for clinical decision-making and diagnosis of ischemic stroke and its subtypes.
Collapse
Affiliation(s)
- Zhouwei Xiong
- Laboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China
- Cixi Biomedical Research Institute, Wenzhou Medical University, Zhejiang, China
| | | | - Shouyue Liu
- Laboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China
- Cixi Biomedical Research Institute, Wenzhou Medical University, Zhejiang, China
| | - Tao Chen
- Laboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China
- Cixi Biomedical Research Institute, Wenzhou Medical University, Zhejiang, China
| | - Keyi Xu
- Laboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China
- Cixi Biomedical Research Institute, Wenzhou Medical University, Zhejiang, China
| | - Haiting Mao
- Laboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China
- Cixi Biomedical Research Institute, Wenzhou Medical University, Zhejiang, China
| | - Jinkui Hao
- Laboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China
| | - Le Cao
- Department of Neurology, West China Hospital, Sichuan, China
| | - Jiang Liu
- Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Yalin Zheng
- Department of Eye and Vision Science, University of Liverpool, Liverpool, United Kingdom
| | - Hang Wang
- Department of Neurology, West China Hospital, Sichuan, China
| | - Yuying Yan
- Department of Neurology, West China Hospital, Sichuan, China
| | - Chen Ye
- Department of Neurology, West China Hospital, Sichuan, China
| | - Bo Wu
- Department of Neurology, West China Hospital, Sichuan, China
| | - Hong Qi
- Department of Ophthalmology, Peking University Third Hospital, Beijing, China
| | - Yitian Zhao
- Laboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China
- Cixi Biomedical Research Institute, Wenzhou Medical University, Zhejiang, China
| |
Collapse
|
2
|
Csiszar A, Ungvari A, Patai R, Gulej R, Yabluchanskiy A, Benyo Z, Kovacs I, Sotonyi P, Kirkpartrick AC, Prodan CI, Liotta EM, Zhang XA, Toth P, Tarantini S, Sorond FA, Ungvari Z. Atherosclerotic burden and cerebral small vessel disease: exploring the link through microvascular aging and cerebral microhemorrhages. GeroScience 2024:10.1007/s11357-024-01139-7. [PMID: 38639833 DOI: 10.1007/s11357-024-01139-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 03/14/2024] [Indexed: 04/20/2024] Open
Abstract
Cerebral microhemorrhages (CMHs, also known as cerebral microbleeds) are a critical but frequently underestimated aspect of cerebral small vessel disease (CSVD), bearing substantial clinical consequences. Detectable through sensitive neuroimaging techniques, CMHs reveal an extensive pathological landscape. They are prevalent in the aging population, with multiple CMHs often being observed in a given individual. CMHs are closely associated with accelerated cognitive decline and are increasingly recognized as key contributors to the pathogenesis of vascular cognitive impairment and dementia (VCID) and Alzheimer's disease (AD). This review paper delves into the hypothesis that atherosclerosis, a prevalent age-related large vessel disease, extends its pathological influence into the cerebral microcirculation, thereby contributing to the development and progression of CSVD, with a specific focus on CMHs. We explore the concept of vascular aging as a continuum, bridging macrovascular pathologies like atherosclerosis with microvascular abnormalities characteristic of CSVD. We posit that the same risk factors precipitating accelerated aging in large vessels (i.e., atherogenesis), primarily through oxidative stress and inflammatory pathways, similarly instigate accelerated microvascular aging. Accelerated microvascular aging leads to increased microvascular fragility, which in turn predisposes to the formation of CMHs. The presence of hypertension and amyloid pathology further intensifies this process. We comprehensively overview the current body of evidence supporting this interconnected vascular hypothesis. Our review includes an examination of epidemiological data, which provides insights into the prevalence and impact of CMHs in the context of atherosclerosis and CSVD. Furthermore, we explore the shared mechanisms between large vessel aging, atherogenesis, microvascular aging, and CSVD, particularly focusing on how these intertwined processes contribute to the genesis of CMHs. By highlighting the role of vascular aging in the pathophysiology of CMHs, this review seeks to enhance the understanding of CSVD and its links to systemic vascular disorders. Our aim is to provide insights that could inform future therapeutic approaches and research directions in the realm of neurovascular health.
Collapse
Affiliation(s)
- Anna Csiszar
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Anna Ungvari
- Department of Public Health, Semmelweis University, Semmelweis University, Budapest, Hungary.
| | - Roland Patai
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Rafal Gulej
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Andriy Yabluchanskiy
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral College/Department of Public Health, Semmelweis University, Budapest, Hungary
| | - Zoltan Benyo
- Institute of Translational Medicine, Semmelweis University, 1094, Budapest, Hungary
- Cerebrovascular and Neurocognitive Disorders Research Group, HUN-REN, Semmelweis University, 1094, Budapest, Hungary
| | - Illes Kovacs
- Department of Ophthalmology, Semmelweis University, 1085, Budapest, Hungary
- Department of Ophthalmology, Weill Cornell Medical College, New York, NY, 10021, USA
| | - Peter Sotonyi
- Department of Vascular and Endovascular Surgery, Heart and Vascular Centre, Semmelweis University, 1122, Budapest, Hungary
| | - Angelia C Kirkpartrick
- Veterans Affairs Medical Center, Oklahoma City, OK, USA
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Calin I Prodan
- Veterans Affairs Medical Center, Oklahoma City, OK, USA
- Department of Neurology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Eric M Liotta
- International Training Program in Geroscience, Doctoral College/Department of Public Health, Semmelweis University, Budapest, Hungary
- Department of Neurology, Division of Stroke and Neurocritical Care, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Xin A Zhang
- Department of Physiology, University of Oklahoma Health Science Center, Oklahoma City, OK, USA
| | - Peter Toth
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Public Health, Semmelweis University, Semmelweis University, Budapest, Hungary
- Department of Neurosurgery, Medical School, University of Pecs, Pecs, Hungary
- Neurotrauma Research Group, Szentagothai Research Centre, University of Pecs, Pecs, Hungary
- ELKH-PTE Clinical Neuroscience MR Research Group, University of Pecs, Pecs, Hungary
| | - Stefano Tarantini
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral College/Department of Public Health, Semmelweis University, Budapest, Hungary
| | - Farzaneh A Sorond
- Department of Neurology, Division of Stroke and Neurocritical Care, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Zoltan Ungvari
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral College/Department of Public Health, Semmelweis University, Budapest, Hungary
| |
Collapse
|
3
|
Li R, Hui Y, Zhang X, Zhang S, Lv B, Ni Y, Li X, Liang X, Yang L, Lv H, Yin Z, Li H, Yang Y, Liu G, Li J, Xie G, Wu S, Wang Z. Ocular biomarkers of cognitive decline based on deep-learning retinal vessel segmentation. BMC Geriatr 2024; 24:28. [PMID: 38184539 PMCID: PMC10770952 DOI: 10.1186/s12877-023-04593-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 12/13/2023] [Indexed: 01/08/2024] Open
Abstract
BACKGROUND The current literature shows a strong relationship between retinal neuronal and vascular alterations in dementia. The purpose of the study was to use NFN+ deep learning models to analyze retinal vessel characteristics for cognitive impairment (CI) recognition. METHODS We included 908 participants from a community-based cohort followed for over 15 years (the prospective KaiLuan Study) who underwent brain magnetic resonance imaging (MRI) and fundus photography between 2021 and 2022. The cohort consisted of both cognitively healthy individuals (N = 417) and those with cognitive impairment (N = 491). We employed the NFN+ deep learning framework for retinal vessel segmentation and measurement. Associations between Retinal microvascular parameters (RMPs: central retinal arteriolar / venular equivalents, arteriole to venular ratio, fractal dimension) and CI were assessed by Pearson correlation. P < 0.05 was considered statistically significant. The correlation between the CI and RMPs were explored, then the correlation coefficients between CI and RMPs were analyzed. Random Forest nonlinear classification model was used to predict whether one having cognitive decline or not. The assessment criterion was the AUC value derived from the working characteristic curve. RESULTS The fractal dimension (FD) and global vein width were significantly correlated with the CI (P < 0.05). Age (0.193), BMI (0.154), global vein width (0.106), retinal vessel FD (0.099), and CRAE (0.098) were the variables in this model that were ranked in order of feature importance. The AUC values of the model were 0.799. CONCLUSIONS Establishment of a predictive model based on the extraction of vascular features from fundus images has a high recognizability and predictive power for cognitive function and can be used as a screening method for CI.
Collapse
Affiliation(s)
- Rui Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Ying Hui
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | | | - Shun Zhang
- Department of Psychiatry, Kailuan Mental Health Centre, Hebei province, Tangshan, China
| | - Bin Lv
- Ping An Healthcare Technology, Beijing, China
| | - Yuan Ni
- Ping An Healthcare Technology, Beijing, China
| | - Xiaoshuai Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xiaoliang Liang
- Department of Psychiatry, Kailuan Mental Health Centre, Hebei province, Tangshan, China
| | - Ling Yang
- School of Public Health, North China University of Science and Technology, Hebei province, Tangshan, China
| | - Han Lv
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Zhiyu Yin
- Longzhen Senior Care, Beijing, China
| | - Hongyang Li
- Department of Ophthalmology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Yingping Yang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guangfeng Liu
- Department of Ophthalmology, Peking University International Hospital, Beijing, China
| | - Jing Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
| | - Guotong Xie
- Ping An Healthcare Technology, Beijing, China.
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, 57 Xinhua E Rd, Tangshan, China.
| | - Zhenchang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
| |
Collapse
|
4
|
Huang J, Biessels GJ, de Leeuw FE, Ii Y, Skoog I, Mok V, Chen C, Hilal S. Cerebral microinfarcts revisited: Detection, causes, and clinical relevance. Int J Stroke 2024; 19:7-15. [PMID: 37470314 DOI: 10.1177/17474930231187979] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
Cerebral microinfarcts (CMIs) are small ischemic lesions invisible to the naked eye at brain autopsy, while the larger ones (0.5-4 mm in diameter) have been visualized in-vivo on magnetic resonance imaging (MRI). CMIs can be detected on diffusion-weighted imaging (DWI) as incidental small DWI-positive lesions (ISDPLs) and on structural MRI for those confined to the cortex and in the chronic phase. ISDPLs may evolve into old cortical-CMIs, white matter hyperintensities or disappear depending on their location and size. Novel techniques in neuropathology and neuroimaging facilitate the detection of CMIs, which promotes understanding of these lesions. CMIs have heterogeneous causes, involving both cerebral small- and large-vessel disease as well as heart diseases such as atrial fibrillation and congestive heart failure. The underlying mechanisms incorporate vascular remodeling, inflammation, blood-brain barrier leakage, penetrating venule congestion, cerebral hypoperfusion, and microembolism. CMIs lead to clinical outcomes, including cognitive decline, a higher risk of stroke and mortality, and accelerated neurobehavioral disturbances. It has been suggested that CMIs can impair brain function and connectivity beyond the microinfarct core and are also associated with perilesional and global cortical atrophy. This review aims to summarize recent progress in studies involving both cortical-CMIs and ISDPLs since 2017, including their detection, etiology, risk factors, MRI correlates, and clinical consequences.
Collapse
Affiliation(s)
- Jiannan Huang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Yuichiro Ii
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
- Department of Neuroimaging and Pathophysiology, Mie University School of Medicine, Tsu, Japan
| | - Ingmar Skoog
- Institute of Neuroscience and Physiology and Centre for Ageing and Health, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry Cognition and Old Age Psychiatry, Sahlgrenska University Hospital, Region Västra Götaland, Mölndal, Sweden
| | - Vincent Mok
- Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong
- Lau Tat-chuen Research Centre of Brain Degenerative Diseases in Chinese and Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Christopher Chen
- Memory Aging and Cognition Centre, National University Health System, Singapore
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Saima Hilal
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| |
Collapse
|
5
|
Rebouças SCL, Cougnard‐Gregoire A, Arnould L, Delyfer M, Schweitzer C, Korobelnik J, Foubert‐Samier A, Cheung CY, Wong TY, Delcourt C, Helmer C. Retinal microvasculature and incident dementia over 10 years: The Three-City-Alienor cohort. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12480. [PMID: 37915467 PMCID: PMC10617985 DOI: 10.1002/dad2.12480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 08/24/2023] [Indexed: 11/03/2023]
Abstract
Introduction We explored the longitudinal relationship between retinal vascular features and dementia incidence over 10 years. Methods Among 584 participants from the Three-City-Alienor (3C-Alienor) population-based cohort, quantitative retinal vascular features (caliber, tortuosity, fractal dimension) were measured using semi-automated software. Dementia was actively diagnosed over the follow-up period. Results One hundred twenty-eight participants (21.9%) developed dementia over a median of 7.1 years. In Cox proportional hazards models adjusted for sociodemographic characteristics, apolipoprotein E (APOE) ε4, and vascular factors, increased retinal arteriolar tortuosity was associated with all-cause dementia (hazard ratio per standard deviation increase, 1.21; 95% confidence interval: 1.02-1.44). Wider retinal calibers and a higher venular tortuosity were associated with mixed/vascular dementia, but not Alzheimer's disease. Fractal dimensions were not associated with dementia. Discussion Changes in the retinal microvasculature were associated with dementia risk. More studies are needed to replicate these findings and determine which features might help identify persons at risk at an early stage. HIGHLIGHTS The retinal microvasculature might reflect the brain microvasculatureWe explored the association between retinal vascular features and incident dementia584 participants from the Three-City-Alienor cohort were followed-up over 10 yearsIncreased arteriolar tortuosity and venular calibers were associated with dementia riskRetinal imaging might help identify persons at risk of future dementia.
Collapse
Affiliation(s)
| | | | - Louis Arnould
- University of BordeauxINSERM, BPH, U1219BordeauxFrance
- Department of OphthalmologyDijon University HospitalDijonFrance
| | - Marie‐Noëlle Delyfer
- University of BordeauxINSERM, BPH, U1219BordeauxFrance
- Department of OphthalmologyBordeaux University HospitalBordeauxFrance
| | - Cédric Schweitzer
- University of BordeauxINSERM, BPH, U1219BordeauxFrance
- Department of OphthalmologyBordeaux University HospitalBordeauxFrance
| | - Jean‐François Korobelnik
- University of BordeauxINSERM, BPH, U1219BordeauxFrance
- Department of OphthalmologyBordeaux University HospitalBordeauxFrance
| | - Alexandra Foubert‐Samier
- University of BordeauxINSERM, BPH, U1219BordeauxFrance
- Institut des Maladies NeurodégénérativesBordeaux University HospitalBordeauxFrance
| | - Carol Y. Cheung
- Department of Ophthalmology and Visual SciencesThe Chinese University of Hong KongHong KongChina
| | - Tien Y. Wong
- Singapore Eye Research InstituteSingapore National Eye CenterSingaporeSingapore
- Tsinghua MedicineBeijing Tsinghua Changgung HospitalTsinghua UniversityBeijingChina
| | | | - Catherine Helmer
- University of BordeauxINSERM, BPH, U1219BordeauxFrance
- Clinical Investigation Center – Clinical EpidemiologyINSERMBordeauxFrance
| |
Collapse
|
6
|
Gao Y, Xu L, He N, Ding Y, Zhao W, Meng T, Li M, Wu J, Haddad Y, Zhang X, Ji X. A narrative review of retinal vascular parameters and the applications (Part I): Measuring methods. Brain Circ 2023; 9:121-128. [PMID: 38020955 PMCID: PMC10679626 DOI: 10.4103/bc.bc_8_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 05/11/2023] [Accepted: 05/23/2023] [Indexed: 12/01/2023] Open
Abstract
The retina is often used to evaluate the vascular health status of eyes and the whole body directly and noninvasively in vivo. Retinal vascular parameters included caliber, tortuosity and fractal dimension. These variables represent the density or geometric characteristics of the vascular network apart from reflecting structural changes in the retinal vessel system. Currently, these parameters are often used as indicators of retinal disease, cardiovascular and cerebrovascular disease. Advanced digital fundus photography apparatus and computer-assisted analysis techniques combined with artificial intelligence, make the quantitative calculation of these parameters easier, objective, and labor-saving.
Collapse
Affiliation(s)
- Yuan Gao
- Department of Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- Department of Ophthalmology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Lijun Xu
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China
| | - Ning He
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
| | - Yuchuan Ding
- Department of Neurosurgery, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Wenbo Zhao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Tingting Meng
- Department of Ophthalmology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Ming Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jiaqi Wu
- Department of Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Yazeed Haddad
- Department of Neurosurgery, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Xuxiang Zhang
- Department of Ophthalmology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xunming Ji
- Department of Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| |
Collapse
|
7
|
Robert C, Ling L, Tan ESJ, Gyanwali B, Venketasubramanian N, Lim SL, Gong L, Berboso JL, Richards AM, Chen C, Hilal S. Effects of Carotid Artery Stiffness on Cerebral Small-Vessel Disease and Cognition. J Am Heart Assoc 2022; 11:e027295. [PMID: 36444832 PMCID: PMC9851463 DOI: 10.1161/jaha.122.027295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Background Carotid artery stiffness is associated with cognitive impairment and dementia, but the underlying mechanisms remain unknown. We examined the associations of carotid artery stiffness with cerebral small-vessel disease markers, cognition, and dementia subtypes in a memory clinic cohort. Methods and Results A total of 272 participants underwent carotid ultrasonography, 3 Tesla brain magnetic resonance imaging, and neuropsychological assessment. Carotid ultrasonography was used to assess β-index, pressure-strain elastic modulus, and pulse-wave velocity-β. Brain magnetic resonance images were graded for cerebral small-vessel disease markers, including white matter hyperintensities, lacunes, and cerebral microbleeds. Participants were classified as having no cognitive impairment, cognitive impairment and no dementia, or dementia subtyped as Alzheimer disease and vascular dementia. Cognition was assessed using National Institute of Neurological Disorders and Stroke-Canadian Stroke Network harmonization battery. After adjusting for age, sex, cardiovascular risk factors, and diseases, multivariable models showed that β-index (β=0.69; P=0.002), elastic modulus (β=0.78; P<0.001), and pulse-wave velocity-β (β=0.80; P<0.001) were associated with white matter hyperintensities, and elastic modulus (odds ratio [OR], 1.39 [95% CI, 1.04-1.85]) and pulse-wave velocity-β (OR, 1.47 [95% CI, 1.10-1.98]) were independently associated with lacunes. Similarly, β-index (OR, 2.04 [95% CI, 1.14-4.13]), elastic modulus (OR, 2.22 [95% CI, 1.25-4.42]), and pulse-wave velocity-β (OR, 2.50 [95% CI, 1.36-5.18]) were independently associated with vascular dementia. Carotid stiffness measures were independently associated with worse performance in global cognition, visuomotor speed, visuospatial function, and executive function. These associations became largely nonsignificant after further adjusting for cerebral small-vessel disease markers. Conclusions In memory clinic patients, carotid artery stiffness was associated with white matter hyperintensities and lacunes, impairment in global and domain-specific cognition, and causative subtypes of dementia, particularly vascular. The effects of carotid stiffness on cognition were not independent of, and were partially mediated by, cerebral small-vessel disease.
Collapse
Affiliation(s)
- Caroline Robert
- Department of Pharmacology, Yong Loo Lin School of MedicineNational University of SingaporeSingapore CitySingapore,Memory Aging and Cognition CentreNational University Health SystemSingapore CitySingapore
| | - Lieng‐Hsi Ling
- Department of CardiologyNational University Heart CentreSingapore CitySingapore,Department of Medicine, Yong Loo Lin School of MedicineNational University of SingaporeSingapore CitySingapore
| | - Eugene S. J. Tan
- Department of CardiologyNational University Heart CentreSingapore CitySingapore
| | - Bibek Gyanwali
- Memory Aging and Cognition CentreNational University Health SystemSingapore CitySingapore,Department of BiochemistryYong Loo Lin School of MedicineSingapore CitySingapore
| | | | - Shir Lynn Lim
- Department of CardiologyNational University Heart CentreSingapore CitySingapore
| | - Lingli Gong
- Department of Medicine, Yong Loo Lin School of MedicineNational University of SingaporeSingapore CitySingapore
| | - Josephine Lunaria Berboso
- Department of Medicine, Yong Loo Lin School of MedicineNational University of SingaporeSingapore CitySingapore
| | - Arthur Mark Richards
- Department of Medicine, Yong Loo Lin School of MedicineNational University of SingaporeSingapore CitySingapore,Cardiovascular Research InstituteNational University Health SystemSingapore CitySingapore,Christchurch Heart InstituteUniversity of OtagoSingapore CitySingapore
| | - Christopher Chen
- Department of Pharmacology, Yong Loo Lin School of MedicineNational University of SingaporeSingapore CitySingapore,Memory Aging and Cognition CentreNational University Health SystemSingapore CitySingapore
| | - Saima Hilal
- Department of Pharmacology, Yong Loo Lin School of MedicineNational University of SingaporeSingapore CitySingapore,Memory Aging and Cognition CentreNational University Health SystemSingapore CitySingapore,Saw Swee Hock School of Public HealthNational University of Singapore and National University Health SystemSingapore CitySingapore
| |
Collapse
|
8
|
Hsu JL, Gu PS, Kang EYC, Lai CC, Lo FS. Retinal Thickness Associates with Cognition Dysfunction in Young Adult with Type 1 Diabetes in Taiwan. J Diabetes Res 2022; 2022:9082177. [PMID: 36200004 PMCID: PMC9529476 DOI: 10.1155/2022/9082177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/08/2022] [Accepted: 09/10/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Several factors could affect the cognitive dysfunction in patients with type 1 diabetes (T1D). OBJECTIVES To report the characteristic of cognitive dysfunction in T1D and find its association with the retinal thickness. SUBJECTS We recruited one hundred and seven patients with T1D in our study. METHODS Detailed clinical and demographic factors and Cambridge Automated Neuropsychological Test Battery (CANTAB) were performed in all participants. The age at onset>5 years old and ≤5 years old groups was defined as old- and young-onset groups. The levels of the average values of 5-year glycated hemoglobin (HbA1c_5) before study were collected. Ophthalmic study and central retinal thickness (CRT) were performed. RESULTS The median age of T1D was 24.9 years old and 57 participants were women. The median age at onset was 7.4 years old, and mean disease duration was 17.2 years. After adjusting off multiple covariates by the regression analyses, the young-onset group had significantly a longer latency in sustained attention than old-onset group (P = 0.02). The HbA1c_5 showed a significantly negative association with the sustained attention (P = 0.03). The average values of CRT showed significantly negative correlations with the reaction time in sustained attention and visual searching (P = 0.04 and P < 0.01, respectively). CONCLUSIONS Our results suggest that age at onset and glycemic control had significant impacts on different cognitive domains in T1D. The CRT had a significant correlation with sustained attention, which could be a surrogate markers of brain structural changes in T1D.
Collapse
Affiliation(s)
- Jung-Lung Hsu
- Department of Neurology, New Taipei Municipal Tucheng Hospital, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, New Taipei City, Taiwan
- Department of Neurology, Chang Gung Memorial Hospital Linkou and Neuroscience Research Center, Chang Gung University College of Medicine, Taoyuan, Taiwan
- Graduate Institute of Mind, Brain, & Consciousness, Taipei Medical University, Taipei, Taiwan
- Brain & Consciousness Research Center, Shuang Ho Hospital, New Taipei City, Taiwan
| | - Pei-Shin Gu
- Department of Pediatrics, Chang Gung Memorial Hospital Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Eugene Yu-Chuan Kang
- Department of Ophthalmology, Chang Gung Memorial Hospital Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chi-Chun Lai
- Department of Ophthalmology, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Fu-Sung Lo
- Department of Pediatrics, Chang Gung Memorial Hospital Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| |
Collapse
|