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Tanaka F, Maeda M, Kishi S, Kogue R, Umino M, Ishikawa H, Ii Y, Shindo A, Sakuma H. Updated imaging markers in cerebral amyloid angiopathy: What radiologists need to know. Jpn J Radiol 2025; 43:736-751. [PMID: 39730931 PMCID: PMC12053366 DOI: 10.1007/s11604-024-01720-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Accepted: 12/06/2024] [Indexed: 12/29/2024]
Abstract
Cerebral amyloid angiopathy (CAA) is an age-related small vessel disease pathologically characterized by the progressive accumulation of amyloid-beta (Aβ) peptide in cerebrovascular walls, affecting both cortical and leptomeningeal vessels. Amyloid deposition results in fragile vessels, which may lead to lobar intracerebral hemorrhage (ICH) and cognitive impairment. To evaluate the probability and severity of CAA, the imaging markers depicted on CT and MRI techniques are crucial, as brain pathological examination is highly invasive. Although the Boston criteria have established diagnostic value and have been updated to version 2.0, due to an aging population, the patients with CAA should also be assessed for their risk of future ICH or cognitive impairment. Furthermore, an increased awareness of CAA is essential when introducing anticoagulants for infarct in elderly patients or anti-amyloid antibodies for Alzheimer's disease, as these may worsen CAA-related hemorrhagic lesions. However, the radiological literature on CAA has not been comprehensively updated. Here, we review the imaging markers of CAA and clinical significance. We also discuss the clinical and imaging characteristics of CAA-related inflammation, amyloid-related imaging abnormalities, and iatrogenic-CAA.
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Affiliation(s)
- Fumine Tanaka
- Department of Radiology, Mie University Graduate School of Medicine, 2-174, Edobashi, Tsu, Mie, 514-8507, Japan.
| | - Masayuki Maeda
- Department of Neuroradiology, Mie University Graduate School of Medicine, 2-174, Edobashi, Tsu, Mie, 514-8507, Japan
| | - Seiya Kishi
- Department of Radiology, Mie University Graduate School of Medicine, 2-174, Edobashi, Tsu, Mie, 514-8507, Japan
| | - Ryota Kogue
- Department of Radiology, Mie University Graduate School of Medicine, 2-174, Edobashi, Tsu, Mie, 514-8507, Japan
| | - Maki Umino
- Department of Radiology, Mie University Graduate School of Medicine, 2-174, Edobashi, Tsu, Mie, 514-8507, Japan
| | - Hidehiro Ishikawa
- Department of Neurology, Mie University Graduate School of Medicine, 2-174, Edobashi, Tsu, Mie, 514-8507, Japan
| | - Yuichiro Ii
- Department of Neuroimaging and Pathophysiology, Mie University School of Medicine, 2-174, Edobashi, Tsu, Mie, 514-8507, Japan
| | - Akihiro Shindo
- Department of Neurology, Mie University Graduate School of Medicine, 2-174, Edobashi, Tsu, Mie, 514-8507, Japan
| | - Hajime Sakuma
- Department of Radiology, Mie University Graduate School of Medicine, 2-174, Edobashi, Tsu, Mie, 514-8507, Japan
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Kim JH, Noh Y, Lee H, Lee S, Kim WR, Kang KM, Kim EY, Al-Masni MA, Kim DH. Toward automated detection of microbleeds with anatomical scale localization using deep learning. Med Image Anal 2025; 101:103415. [PMID: 39642804 DOI: 10.1016/j.media.2024.103415] [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: 11/22/2022] [Revised: 11/21/2024] [Accepted: 11/25/2024] [Indexed: 12/09/2024]
Abstract
Cerebral Microbleeds (CMBs) are chronic deposits of small blood products in the brain tissues, which have explicit relation to various cerebrovascular diseases depending on their anatomical location, including cognitive decline, intracerebral hemorrhage, and cerebral infarction. However, manual detection of CMBs is a time consuming and error-prone process because of their sparse and tiny structural properties. The detection of CMBs is commonly affected by the presence of many CMB mimics that cause a high false-positive rate (FPR), such as calcifications and pial vessels. This paper proposes a novel 3D deep learning framework that not only detects CMBs but also identifies their anatomical location in the brain (i.e., lobar, deep, and infratentorial regions). For the CMBs detection task, we propose a single end-to-end model by leveraging the 3D U-Net as a backbone with Region Proposal Network (RPN). To significantly reduce the false positives within the same single model, we develop a new scheme, containing Feature Fusion Module (FFM) that detects small candidates utilizing contextual information and Hard Sample Prototype Learning (HSPL) that mines CMB mimics and generates additional loss term called concentration loss using Convolutional Prototype Learning (CPL). For the anatomical localization task, we exploit the 3D U-Net segmentation network to segment anatomical structures of the brain. This task not only identifies to which region the CMBs belong but also eliminates some false positives from the detection task by leveraging anatomical information. We utilize Susceptibility-Weighted Imaging (SWI) and phase images as 3D input to efficiently capture 3D information. The results show that the proposed RPN that utilizes the FFM and HSPL outperforms the baseline RPN and achieves a sensitivity of 94.66 % vs. 93.33 % and an average number of false positives per subject (FPavg) of 0.86 vs. 14.73. Furthermore, the anatomical localization task enhances the detection performance by reducing the FPavg to 0.56 while maintaining the sensitivity of 94.66 %.
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Affiliation(s)
- Jun-Ho Kim
- Department of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul, Republic of Korea
| | - Young Noh
- Neuroscience Research Institute, Gachon University, Incheon, Republic of Korea; Department of Neurology, Gachon University College of Medicine, Gil Medical Center, Incheon, Republic of Korea
| | - Haejoon Lee
- Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Seul Lee
- Department of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul, Republic of Korea
| | - Woo-Ram Kim
- Neuroscience Research Institute, Gachon University, Incheon, Republic of Korea
| | - Koung Mi Kang
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Eung Yeop Kim
- Department of Radiology, Gachon University College of Medicine, Gil Medical Center, Incheon, Republic of Korea
| | - Mohammed A Al-Masni
- Department of Artificial Intelligence and Data Science, College of AI Convergence, Sejong University, Seoul 05006, Republic of Korea.
| | - Dong-Hyun Kim
- Department of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul, Republic of Korea.
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Charidimou A, Boulouis G. Core CSF Biomarker Profile in Cerebral Amyloid Angiopathy: Updated Meta-Analysis. Neurology 2024; 103:e209795. [PMID: 39270153 DOI: 10.1212/wnl.0000000000209795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2024] Open
Abstract
BACKGROUND AND OBJECTIVES There is a clear need to characterize and validate molecular biomarkers of cerebral amyloid angiopathy (CAA), in an effort to improve diagnostics, especially in the context of patients with Alzheimer disease (AD) receiving immunotherapies (for whom underlying CAA is the driver of amyloid-related imaging abnormalities). We performed an updated meta-analysis of 5 core CSF biomarkers (Aβ42, Aβ40, Aβ438, total tau [T-tau], and phosphorylated tau [P-tau]) to assess which of these are most altered in sporadic CAA. METHODS We systematically searched PubMed for eligible studies reporting data on CSF biomarkers reflecting APP metabolism (Aβ42, Aβ40, Aβ38), neurodegeneration (T-tau), and tangle pathology (P-tau), in symptomatic sporadic CAA cohorts (based on the Boston criteria) vs control groups and/or vs patients with AD. Biomarker performance was assessed in random-effects meta-analysis based on ratio of mean (RoM) biomarker concentrations in (1) patients with CAA to controls and (2) CAA to patients with AD. RoM >1 indicates higher biomarker concentration in CAA vs comparison population, and RoM <1 indicates higher concentration in comparison groups. RESULTS 8 studies met inclusion criteria: a total of 11 CAA cohorts (n = 289), 9 control cohorts (n = 310), and 8 AD cohorts (n = 339). Overall included studies were of medium quality based on our assessment tools. CAA to controls had lower mean level of all amyloid markers with CSF Aβ42, Aβ40, and Aβ38 RoMs of 0.46 (95% CI 0.38-0.55, p < 0.0001), 0.70 (95% CI 0.63-0.78, p < 0.0001), and 0.71 (95% CI 0.56-0.89, p = 0.003), respectively. CSF T-tau and P-tau RoMs of patients with CAA to controls were both greater than 1: 1.56 (95% CI 1.32-1.84, p < 0.0001) and 1.31 (95% CI 1.13-1.51, p < 0.0001), respectively. Differentiation between CAA and AD was strong for CSF Aβ40 (RoM 0.76, 95% CI 0.69-0.83, p < 0.0001) and Aβ38 (RoM 0.55, 95% CI 0.38-0.81, p < 0.0001), but not Aβ42 (RoM 1.00; 95% CI 0.81-1.23, p = 0.970). For T-tau and P-tau, average CSF ratios in patients with CAA vs AD were 0.64 (95% CI 0.58-0.71, p < 0.0001) and 0.64 (95% CI 0.58-0.71, p < 0.0001), respectively. DISCUSSION Specific CSF patterns of Aβ42, Aβ40, Aβ38, T-tau, and P-tau might serve as molecular biomarkers of CAA, in research and clinical settings, offering the potential to improve the clinical diagnostic approach pathway in specific scenarios.
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Affiliation(s)
- Andreas Charidimou
- From the Department of Neurology (A.C.), Boston University Medical Center, Boston University School of Medicine, MA; and Diagnostic and Interventional Neuroradiology (G.B.), University Hospital, Tours, France
| | - Gregoire Boulouis
- From the Department of Neurology (A.C.), Boston University Medical Center, Boston University School of Medicine, MA; and Diagnostic and Interventional Neuroradiology (G.B.), University Hospital, Tours, France
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Switzer AR, Charidimou A, McCarter S, Vemuri P, Nguyen AT, Przybelski SA, Lesnick TG, Rabinstein AA, Brown RD, Knopman DS, Petersen RC, Jack CR, Reichard RR, Graff-Radford J. Boston Criteria v2.0 for Cerebral Amyloid Angiopathy Without Hemorrhage: An MRI-Neuropathologic Validation Study. Neurology 2024; 102:e209386. [PMID: 38710005 PMCID: PMC11177590 DOI: 10.1212/wnl.0000000000209386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 02/20/2024] [Indexed: 05/08/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Updated criteria for the clinical-MRI diagnosis of cerebral amyloid angiopathy (CAA) have recently been proposed. However, their performance in individuals without symptomatic intracerebral hemorrhage (ICH) presentations is less defined. We aimed to assess the diagnostic performance of the Boston criteria version 2.0 for CAA diagnosis in a cohort of individuals ranging from cognitively normal to dementia in the community and memory clinic settings. METHODS Fifty-four participants from the Mayo Clinic Study of Aging or Alzheimer's Disease Research Center were included if they had an antemortem MRI with gradient-recall echo sequences and a brain autopsy with CAA evaluation. Performance of the Boston criteria v2.0 was compared with v1.5 using histopathologically verified CAA as the reference standard. RESULTS The median age at MRI was 75 years (interquartile range 65-80) with 28/54 participants having histopathologically verified CAA (i.e., moderate-to-severe CAA in at least 1 lobar region). The sensitivity and specificity of the Boston criteria v2.0 were 28.6% (95% CI 13.2%-48.7%) and 65.3% (95% CI 44.3%-82.8%) for probable CAA diagnosis (area under the receiver operating characteristic curve [AUC] 0.47) and 75.0% (55.1-89.3) and 38.5% (20.2-59.4) for any CAA diagnosis (possible + probable; AUC 0.57), respectively. The v2.0 Boston criteria were not superior in performance compared with the prior v1.5 criteria for either CAA diagnostic category. DISCUSSION The Boston criteria v2.0 have low accuracy in patients who are asymptomatic or only have cognitive symptoms. Additional biomarkers need to be explored to optimize CAA diagnosis in this population.
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Affiliation(s)
- Aaron R Switzer
- From the Department of Neurology (A.R.S., S.M., A.A.R., R.D.B., D.S.K., R.C.P., J.G.-R.), Mayo Clinic Rochester, MN; Department of Neurology (A.R.S.), University of Calgary, Canada; Department of Neurology (A.C.), Boston University Chobanian & Avedisian School of Medicine; and Department of Radiology (P.V., C.R.J.), Department of Pathology (A.T.N., R.R.R.), Department of Quantitative Health Sciences (S.A.P.), and Health Sciences Research (T.G.L.), Mayo Clinic Rochester, MN
| | - Andreas Charidimou
- From the Department of Neurology (A.R.S., S.M., A.A.R., R.D.B., D.S.K., R.C.P., J.G.-R.), Mayo Clinic Rochester, MN; Department of Neurology (A.R.S.), University of Calgary, Canada; Department of Neurology (A.C.), Boston University Chobanian & Avedisian School of Medicine; and Department of Radiology (P.V., C.R.J.), Department of Pathology (A.T.N., R.R.R.), Department of Quantitative Health Sciences (S.A.P.), and Health Sciences Research (T.G.L.), Mayo Clinic Rochester, MN
| | - Stuart McCarter
- From the Department of Neurology (A.R.S., S.M., A.A.R., R.D.B., D.S.K., R.C.P., J.G.-R.), Mayo Clinic Rochester, MN; Department of Neurology (A.R.S.), University of Calgary, Canada; Department of Neurology (A.C.), Boston University Chobanian & Avedisian School of Medicine; and Department of Radiology (P.V., C.R.J.), Department of Pathology (A.T.N., R.R.R.), Department of Quantitative Health Sciences (S.A.P.), and Health Sciences Research (T.G.L.), Mayo Clinic Rochester, MN
| | - Prashanthi Vemuri
- From the Department of Neurology (A.R.S., S.M., A.A.R., R.D.B., D.S.K., R.C.P., J.G.-R.), Mayo Clinic Rochester, MN; Department of Neurology (A.R.S.), University of Calgary, Canada; Department of Neurology (A.C.), Boston University Chobanian & Avedisian School of Medicine; and Department of Radiology (P.V., C.R.J.), Department of Pathology (A.T.N., R.R.R.), Department of Quantitative Health Sciences (S.A.P.), and Health Sciences Research (T.G.L.), Mayo Clinic Rochester, MN
| | - Aivi T Nguyen
- From the Department of Neurology (A.R.S., S.M., A.A.R., R.D.B., D.S.K., R.C.P., J.G.-R.), Mayo Clinic Rochester, MN; Department of Neurology (A.R.S.), University of Calgary, Canada; Department of Neurology (A.C.), Boston University Chobanian & Avedisian School of Medicine; and Department of Radiology (P.V., C.R.J.), Department of Pathology (A.T.N., R.R.R.), Department of Quantitative Health Sciences (S.A.P.), and Health Sciences Research (T.G.L.), Mayo Clinic Rochester, MN
| | - Scott A Przybelski
- From the Department of Neurology (A.R.S., S.M., A.A.R., R.D.B., D.S.K., R.C.P., J.G.-R.), Mayo Clinic Rochester, MN; Department of Neurology (A.R.S.), University of Calgary, Canada; Department of Neurology (A.C.), Boston University Chobanian & Avedisian School of Medicine; and Department of Radiology (P.V., C.R.J.), Department of Pathology (A.T.N., R.R.R.), Department of Quantitative Health Sciences (S.A.P.), and Health Sciences Research (T.G.L.), Mayo Clinic Rochester, MN
| | - Timothy G Lesnick
- From the Department of Neurology (A.R.S., S.M., A.A.R., R.D.B., D.S.K., R.C.P., J.G.-R.), Mayo Clinic Rochester, MN; Department of Neurology (A.R.S.), University of Calgary, Canada; Department of Neurology (A.C.), Boston University Chobanian & Avedisian School of Medicine; and Department of Radiology (P.V., C.R.J.), Department of Pathology (A.T.N., R.R.R.), Department of Quantitative Health Sciences (S.A.P.), and Health Sciences Research (T.G.L.), Mayo Clinic Rochester, MN
| | - Alejandro A Rabinstein
- From the Department of Neurology (A.R.S., S.M., A.A.R., R.D.B., D.S.K., R.C.P., J.G.-R.), Mayo Clinic Rochester, MN; Department of Neurology (A.R.S.), University of Calgary, Canada; Department of Neurology (A.C.), Boston University Chobanian & Avedisian School of Medicine; and Department of Radiology (P.V., C.R.J.), Department of Pathology (A.T.N., R.R.R.), Department of Quantitative Health Sciences (S.A.P.), and Health Sciences Research (T.G.L.), Mayo Clinic Rochester, MN
| | - Robert D Brown
- From the Department of Neurology (A.R.S., S.M., A.A.R., R.D.B., D.S.K., R.C.P., J.G.-R.), Mayo Clinic Rochester, MN; Department of Neurology (A.R.S.), University of Calgary, Canada; Department of Neurology (A.C.), Boston University Chobanian & Avedisian School of Medicine; and Department of Radiology (P.V., C.R.J.), Department of Pathology (A.T.N., R.R.R.), Department of Quantitative Health Sciences (S.A.P.), and Health Sciences Research (T.G.L.), Mayo Clinic Rochester, MN
| | - David S Knopman
- From the Department of Neurology (A.R.S., S.M., A.A.R., R.D.B., D.S.K., R.C.P., J.G.-R.), Mayo Clinic Rochester, MN; Department of Neurology (A.R.S.), University of Calgary, Canada; Department of Neurology (A.C.), Boston University Chobanian & Avedisian School of Medicine; and Department of Radiology (P.V., C.R.J.), Department of Pathology (A.T.N., R.R.R.), Department of Quantitative Health Sciences (S.A.P.), and Health Sciences Research (T.G.L.), Mayo Clinic Rochester, MN
| | - Ronald C Petersen
- From the Department of Neurology (A.R.S., S.M., A.A.R., R.D.B., D.S.K., R.C.P., J.G.-R.), Mayo Clinic Rochester, MN; Department of Neurology (A.R.S.), University of Calgary, Canada; Department of Neurology (A.C.), Boston University Chobanian & Avedisian School of Medicine; and Department of Radiology (P.V., C.R.J.), Department of Pathology (A.T.N., R.R.R.), Department of Quantitative Health Sciences (S.A.P.), and Health Sciences Research (T.G.L.), Mayo Clinic Rochester, MN
| | - Clifford R Jack
- From the Department of Neurology (A.R.S., S.M., A.A.R., R.D.B., D.S.K., R.C.P., J.G.-R.), Mayo Clinic Rochester, MN; Department of Neurology (A.R.S.), University of Calgary, Canada; Department of Neurology (A.C.), Boston University Chobanian & Avedisian School of Medicine; and Department of Radiology (P.V., C.R.J.), Department of Pathology (A.T.N., R.R.R.), Department of Quantitative Health Sciences (S.A.P.), and Health Sciences Research (T.G.L.), Mayo Clinic Rochester, MN
| | - R Ross Reichard
- From the Department of Neurology (A.R.S., S.M., A.A.R., R.D.B., D.S.K., R.C.P., J.G.-R.), Mayo Clinic Rochester, MN; Department of Neurology (A.R.S.), University of Calgary, Canada; Department of Neurology (A.C.), Boston University Chobanian & Avedisian School of Medicine; and Department of Radiology (P.V., C.R.J.), Department of Pathology (A.T.N., R.R.R.), Department of Quantitative Health Sciences (S.A.P.), and Health Sciences Research (T.G.L.), Mayo Clinic Rochester, MN
| | - Jonathan Graff-Radford
- From the Department of Neurology (A.R.S., S.M., A.A.R., R.D.B., D.S.K., R.C.P., J.G.-R.), Mayo Clinic Rochester, MN; Department of Neurology (A.R.S.), University of Calgary, Canada; Department of Neurology (A.C.), Boston University Chobanian & Avedisian School of Medicine; and Department of Radiology (P.V., C.R.J.), Department of Pathology (A.T.N., R.R.R.), Department of Quantitative Health Sciences (S.A.P.), and Health Sciences Research (T.G.L.), Mayo Clinic Rochester, MN
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Zhao B, Yuan Y, Li Z, Chen Y, Gao Y, Yang B, Wu J, Jia W. Risk of intracranial hemorrhage in patients using anticoagulant therapy for atrial fibrillation after cerebral microbleeds combined with acute ischemic stroke: a meta-analysis. Front Neurol 2024; 15:1372231. [PMID: 38560733 PMCID: PMC10978779 DOI: 10.3389/fneur.2024.1372231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 03/05/2024] [Indexed: 04/04/2024] Open
Abstract
Objective To evaluate intracerebral hemorrhage (ICH) risk in patients with ischemic stroke (IS) and cerebral microbleeds (CMBs) undergoing anticoagulation therapy for non-valvular atrial fibrillation (AF). Methods We conducted a comprehensive search across multiple databases, including Embase, PubMed, Cochrane, UpToDate, Scopus, WOS, and SinoMed. The search covered observational literature published from each database inception until February 1, 2023. We analyzed the prevalence of CMBs during the follow-up period, compared future ICH risk between patients with and without baseline CMBs (CMBs presence/absence, ≧5 CMBs), and examined factors influencing ICH occurrence in patients with CMBs. Also studied recurrent stroke during anticoagulation therapy, the risk of future ICH when white matter hyperintensity (WMH) and CMBs coexist, and the effects of anticoagulants vitamin K antagonists (VKAs) and direct oral anticoagulants (DOACs) on future ICH. Results We included 7 articles involving 5,134 participants. The incidence of CMBs was 24%; baseline CMBs were associated with an increased ICH risk compared to patients without CMBs. ICH-risk was more significant in patients with baseline ≥5 CMBs. After anticoagulant therapy, ICH risk was higher than that of recurrent IS. The risk of future ICH was significantly increased with anticoagulant VKAs compared with NOAC. Conclusion Anticoagulant therapy for ischemic stroke patients with non-valvular AF and CMBs increases future ICH risk. Discontinuing anticoagulation due to ICH risk should be avoided. NOACs are safe and effective for patients with CMBs and IS.
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Affiliation(s)
- Bingqing Zhao
- Department of Neurology, Beijing Shijingshan Hospital, Shijingshan Teaching Hospital of Capital Medical University, Beijing, China
| | - Ye Yuan
- Department of Neurology, Beijing Shijingshan Hospital, Shijingshan Teaching Hospital of Capital Medical University, Beijing, China
| | - Zheng Li
- Department of Neurology, Beijing Shijingshan Hospital, Shijingshan Teaching Hospital of Capital Medical University, Beijing, China
| | - Ying Chen
- Department of Neurology, Beijing Shijingshan Hospital, Shijingshan Teaching Hospital of Capital Medical University, Beijing, China
| | - Yali Gao
- Department of Neurology, Beijing Shijingshan Hospital, Shijingshan Teaching Hospital of Capital Medical University, Beijing, China
| | - Baoling Yang
- Department of Neurology, Beijing Shijingshan Hospital, Shijingshan Teaching Hospital of Capital Medical University, Beijing, China
| | - Jingyi Wu
- University of Glasgow, Glasgow, United Kingdom
| | - Weihua Jia
- Department of Neurology, Beijing Shijingshan Hospital, Shijingshan Teaching Hospital of Capital Medical University, Beijing, China
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Shahjouei S, Chaudhary D, Sadighi A, Khan A, Romeo A, Cabrera F, Ishaq F, Aghayari Sheikh Neshin S, Bayan N, Abedi V, Zand R. Prevalence and associated factors of cerebral microbleeds in a rural population of the United States. J Stroke Cerebrovasc Dis 2024; 33:107527. [PMID: 38183963 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107527] [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: 09/28/2023] [Revised: 11/20/2023] [Accepted: 12/07/2023] [Indexed: 01/08/2024] Open
Abstract
OBJECTIVE Cerebral microbleeds (CMBs) can carry an advanced risk for the development and burden of cerebrovascular and cognitive disorders. Large-scale population-based studies are required to identify the at-risk population. METHOD Ten percent (N = 3,056) of the Geisinger DiscovEHR Initiative Cohort participants who had brain magnetic resonance imaging (MRI) for any indication were randomly selected. Patients with CMBs were compared to an age-, gender-, body mass index-, and hypertension-matched cohort of patients without CMB. The prevalence of comorbidities and use of anticoagulation therapy was investigated in association with CMB presence (binary logistic regression), quantity (ordinal regression), and topography (multinomial regression). RESULTS Among 3,056 selected participants, 477 (15.6 %) had CMBs in their MRI. Patients with CMBs were older and were more prevalently hypertensive, with ischemic stroke, arrhythmia, dyslipidemia, coronary artery disease, and the use of warfarin. After propensity-score matching, 477 patients with CMBs and 974 without were included for further analyses. Predictors of ≥5 CMBs were ischemic stroke (OR, 1.6; 95 % CI, 1.2 -2.0), peripheral vascular disease (OR, 1.6; 95 % CI, 1.1-2.3), and thrombocytopenia (OR, 1.9; 95 % CI, 1.2-2.9). Ischemic stroke was associated with strictly lobar CMBs more strongly than deep/infra-tentorial CMBs (OR, 2.1; 95 % CI, 1.5-3.1; vs. OR, 1.4; CI, 1.1-1.8). CONCLUSIONS CMBs were prevalent in our white population. Old age, hypertension, anticoagulant treatment, thrombocytopenia, and a history of vascular diseases including stroke, were associated with CMBs.
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Affiliation(s)
- Shima Shahjouei
- Department of Neurology, Milton S. Hershey Medical Center, Penn State Health, Hershey, PA, USA; Neurology Department, Neuroscience Institute, Geisinger Health System, PA, USA
| | - Durgesh Chaudhary
- Department of Neurology, Milton S. Hershey Medical Center, Penn State Health, Hershey, PA, USA; Neurology Department, Neuroscience Institute, Geisinger Health System, PA, USA
| | - Alireza Sadighi
- Neurology Department, Neuroscience Institute, Geisinger Health System, PA, USA
| | - Ayesha Khan
- Neurology Department, Neuroscience Institute, Geisinger Health System, PA, USA
| | - Alexander Romeo
- Neurology Department, Neuroscience Institute, Geisinger Health System, PA, USA
| | - Fedor Cabrera
- Neurology Department, Neuroscience Institute, Geisinger Health System, PA, USA
| | - Farhan Ishaq
- Neurology Department, Neuroscience Institute, Geisinger Health System, PA, USA
| | | | - Nikoo Bayan
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; Interdisciplinary Neuroscience Research Program (INRP), Tehran University of Medical Sciences, Tehran, Iran
| | - Vida Abedi
- Neurology Department, Neuroscience Institute, Geisinger Health System, PA, USA; Department of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA, USA
| | - Ramin Zand
- Department of Neurology, Milton S. Hershey Medical Center, Penn State Health, Hershey, PA, USA; Neurology Department, Neuroscience Institute, Geisinger Health System, PA, USA.
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Sveikata L, Zotin MCZ, Schoemaker D, Ma Y, Perosa V, Chokesuwattanaskul A, Charidimou A, Duering M, Gurol EM, Assal F, Greenberg SM, Viswanathan A. Association of Long-Term Blood Pressure Variability with Cerebral Amyloid Angiopathy-related Brain Injury and Cognitive Decline. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.24.24303071. [PMID: 38464316 PMCID: PMC10925352 DOI: 10.1101/2024.02.24.24303071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Introduction Long-term systolic blood pressure variability (BPV) has been proposed as a novel risk factor for dementia, but the underlying mechanisms are largely unknown. We aimed to investigate the association between long-term blood pressure variability (BPV), brain injury, and cognitive decline in patients with mild cognitive symptoms and cerebral amyloid angiopathy (CAA), a well-characterized small-vessel disease that causes cognitive decline in older adults. Methods Using a prospective memory clinic cohort, we enrolled 102 participants, of whom 52 with probable CAA. All underwent a 3-tesla research MRI at baseline and annual neuropsychological evaluation over 2 years, for which standardized z-scores for four cognitive domains were calculated. BPV was assessed using a coefficient of variation derived from serial outpatient BP measurements (median 12) over five years. We measured the peak width of skeletonized mean diffusivity (PSMD) as a marker of white matter integrity, and other neuroimaging markers of CAA, including lacunes and cortical cerebral microinfarcts. Using regression models, we evaluated the association of BPV with microstructural brain injury and whether CAA modified this association. We also examined the association of BPV with subsequent cognitive decline. Results Systolic BPV was dose-dependently associated with PSMD (estimate=0.22, 95% CI: 0.06, 0.39, p=0.010), independent of age, sex, mean BP, common vascular risk factors, brain atrophy, and CAA severity. The presence of probable CAA strengthened the association between BPV and PSMD (estimate=9.33, 95% CI: 1.32, 17.34, p for interaction = 0.023). Higher BPV correlated with greater ischemic injury (lobar lacunes and cortical cerebral microinfarcts) and a decline in global cognition and processing speed (estimate=-0.30, 95% CI: -0.55, -0.04, p=0.022). Discussion Long-term BPV has a dose-dependent association with alterations in white matter integrity, lobar lacunes, and cortical cerebral microinfarcts, and predicts cognitive decline. Controlling BPV is a potential strategic approach to prevent cognitive decline, especially in early-stage CAA.
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Affiliation(s)
- Lukas Sveikata
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
- Department of Clinical Neurosciences, Geneva University Hospital and Faculty of Medicine, University of Geneva, Switzerland
| | - Maria Clara Zanon Zotin
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
- Center for Imaging Sciences and Medical Physics. Department of Medical Imaging, Hematology and Clinical Oncology. Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Dorothee Schoemaker
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Yuan Ma
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Valentina Perosa
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Anthipa Chokesuwattanaskul
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
- Cognitive Clinical and Computational Neuroscience Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Andreas Charidimou
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Munich, Germany
- Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Edip M. Gurol
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Frédéric Assal
- Department of Clinical Neurosciences, Geneva University Hospital and Faculty of Medicine, University of Geneva, Switzerland
| | - Steven M. Greenberg
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Anand Viswanathan
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
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Kuo PY, Tsai HH, Lee BC, Chiang PT, Liu CJ, Chen YF, Jeng JS, Yen RF, Tsai LK. Differences in lobar microbleed topography in cerebral amyloid angiopathy and hypertensive arteriopathy. Sci Rep 2024; 14:3774. [PMID: 38355951 PMCID: PMC10866968 DOI: 10.1038/s41598-024-54243-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 02/10/2024] [Indexed: 02/16/2024] Open
Abstract
Lobar cerebral microbleeds are a characteristic neuroimaging finding in cerebral amyloid angiopathy (CAA) but can also be found in hypertensive arteriolosclerosis. We aimed to investigate whether CAA is more associated with intracortical lobar microbleeds than hypertensive arteriosclerosis. Ninety-one survivors of spontaneous intracerebral hemorrhage with at least one lobar microbleed were included and underwent brain MRI and amyloid PET. We categorized lobar microbleeds as intracortical, juxtacortical, or subcortical. We assessed the associations between the lobar microbleed categories and microangiopathy subtypes or cerebral amyloid load based on the Pittsburgh Compound-B PET standardized uptake value ratio (SUVR). Patients with CAA had a higher prevalence of intracortical lobar microbleeds (80.0% vs. 50.8%, P = 0.011) and lower prevalence of subcortical lobar microbleeds (13.3% vs. 60.1%, P < 0.001) than patients with hypertensive arteriolosclerosis. Strictly intracortical/juxtacortical lobar microbleeds were associated with CAA (OR 18.9 [1.9-191.4], P = 0.013), while the presence of subcortical lobar microbleeds was associated with hypertensive arteriolosclerosis (OR 10.9 [1.8-68.1], P = 0.010). Amyloid retention was higher in patients with strictly intracortical/juxtacortical CMBs than those without (SUVR = 1.15 [1.05-1.52] vs. 1.08 [1.02-1.19], P = 0.039). Amyloid retention positively correlated with the number of intracortical lobar microbleeds (P < 0.001) and negatively correlated with the number of subcortical lobar microbleeds (P = 0.018). CAA and cortical amyloid deposition are more strongly associated with strictly intracortical/juxtacortical microbleeds than subcortical lobar microbleeds. Categorization of lobar microbleeds based on anatomical location may help differentiate the underlying microangiopathy and potentially improve the accuracy of current neuroimaging criteria for cerebral small vessel disease.
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Affiliation(s)
- Pin-Yan Kuo
- Department of Medical Education, National Taiwan University Hospital, Taipei, Taiwan
| | - Hsin-Hsi Tsai
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan.
| | - Bo-Ching Lee
- Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan
| | - Pu-Tien Chiang
- Department of Neurology, National Taiwan University Hospital Bei-Hu Branch, Taipei, Taiwan
| | - Chia-Ju Liu
- Department of Nuclear Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Ya-Fang Chen
- Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan
| | - Jiann-Shing Jeng
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Ruoh-Fang Yen
- Department of Nuclear Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Li-Kai Tsai
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
- Department of Neurology, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan
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9
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Kobayashi Y, Hiraoka K, Itabashi R, Saito T, Kawabata Y, Yazawa Y, Funaki Y, Furumoto S, Okamura N, Furukawa K, Ishiki A, Arai H, Yanai K, Tashiro M, Sekijima Y. Amyloid accumulation in cases of suspected comorbid cerebral amyloid angiopathy and isolated cortical venous thrombosis. J Neurol Sci 2024; 457:122892. [PMID: 38266518 DOI: 10.1016/j.jns.2024.122892] [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: 06/05/2023] [Revised: 12/26/2023] [Accepted: 01/13/2024] [Indexed: 01/26/2024]
Abstract
BACKGROUND AND AIM The differentiation of isolated cortical venous thrombosis (ICVT) from cerebral amyloid angiopathy (CAA) can be difficult because both diseases share similar neurological symptoms and imaging findings. N-methyl-11C-2-(4'-methylaminophenyl)-6-hydroxybenzo-thiazole (11C-PiB) positron emission tomography (PET) functions as a diagnostic modality for CAA by detecting amyloid deposition. The present prospective study evaluated amyloid deposition using 11C-PiB-PET in consecutive patients with suspected ICVT. METHOD This study was a prospective observational study. Patients who attended or were hospitalized between May 2019 and March 2020 were included in the analysis. Consecutive patients who met the criteria for suspicion of ICVT were enrolled in the study, and the clinical course, symptoms, imaging findings (including magnetic resonance imaging), and the 11C-PiB-PET findings of each case were analyzed. RESULTS The study cohort included four patients (64-82 years of age, all women). In one younger patient, 11C-PiB-PET afforded no findings suggestive of CAA, whereas the remaining three patients exhibited 11C-PiB-PET findings suggestive of CAA. CONCLUSION Although 11C-PiB-PET would be a reasonable modality for distinguishing ICVT from CAA, especially in younger patients, it might be difficult to differentiate ICVT from CAA in elderly patients because of the potential deposition of amyloid. CLINICAL TRIAL REGISTRATION URL: https://www.umin.ac.jp/ctr/ Unique identifier: UMIN 000037101.
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Affiliation(s)
- Yuya Kobayashi
- Department of Stroke Neurology, Kohnan Hospital, 4-20-1 Nagamachi-minami, Taihaku-ku, Sendai, Miyagi 982-8523, Japan; Department of Medicine (Neurology & Rheumatology), Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto 390-8621, Japan.
| | - Kotaro Hiraoka
- Division of Cyclotron Nuclear Medicine, Cyclotron and Radioisotope Center, Tohoku University, 6-3 Aramaki, Aoba-ku, Sendai 980-8578, Japan.
| | - Ryo Itabashi
- Department of Stroke Neurology, Kohnan Hospital, 4-20-1 Nagamachi-minami, Taihaku-ku, Sendai, Miyagi 982-8523, Japan; Stroke Center, Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba, Iwate 028-3695, Japan.
| | - Takuya Saito
- Department of Stroke Neurology, Kohnan Hospital, 4-20-1 Nagamachi-minami, Taihaku-ku, Sendai, Miyagi 982-8523, Japan
| | - Yuichi Kawabata
- Department of Stroke Neurology, Kohnan Hospital, 4-20-1 Nagamachi-minami, Taihaku-ku, Sendai, Miyagi 982-8523, Japan
| | - Yukako Yazawa
- Department of Stroke Neurology, Kohnan Hospital, 4-20-1 Nagamachi-minami, Taihaku-ku, Sendai, Miyagi 982-8523, Japan.
| | - Yoshihito Funaki
- Division of Radiopharmaceutical Chemistry, Cyclotron and Radioisotope Center, Tohoku University, Sendai, Japan.
| | - Shozo Furumoto
- Division of Radiopharmaceutical Chemistry, Cyclotron and Radioisotope Center, Tohoku University, Sendai, Japan.
| | - Nobuyuki Okamura
- Division of Cyclotron Nuclear Medicine, Cyclotron and Radioisotope Center, Tohoku University, 6-3 Aramaki, Aoba-ku, Sendai 980-8578, Japan; Division of Pharmacology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan.
| | - Katsutoshi Furukawa
- Division of the Community of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan; Department of Geriatrics and Gerontology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
| | - Aiko Ishiki
- Division of the Community of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan; Department of Geriatrics and Gerontology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
| | - Hiroyuki Arai
- Department of Geriatrics and Gerontology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
| | - Kazuhiko Yanai
- Department of Pharmacology, Tohoku University Graduate School of Medicine, Sendai, Japan.
| | - Manabu Tashiro
- Division of Cyclotron Nuclear Medicine, Cyclotron and Radioisotope Center, Tohoku University, 6-3 Aramaki, Aoba-ku, Sendai 980-8578, Japan.
| | - Yoshiki Sekijima
- Department of Medicine (Neurology & Rheumatology), Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto 390-8621, Japan.
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Raposo N, Périole C, Planton M. In-vivo diagnosis of cerebral amyloid angiopathy: an updated review. Curr Opin Neurol 2024; 37:19-25. [PMID: 38038409 DOI: 10.1097/wco.0000000000001236] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
PURPOSE OF REVIEW Sporadic cerebral amyloid angiopathy (CAA) is a highly prevalent small vessel disease in ageing population with potential severe complications including lobar intracerebral hemorrhage (ICH), cognitive impairment, and dementia. Although diagnosis of CAA was made only with postmortem neuropathological examination a few decades ago, diagnosing CAA without pathological proof is now allowed in living patients. This review focuses on recently identified biomarkers of CAA and current diagnostic criteria. RECENT FINDINGS Over the past few years, clinicians and researchers have shown increased interest for CAA, and important advances have been made. Thanks to recent insights into mechanisms involved in CAA and advances in structural and functional neuroimaging, PET amyloid tracers, cerebrospinal fluid and plasma biomarkers analysis, a growing number of biomarkers of CAA have been identified. Imaging-based diagnostic criteria including emerging biomarkers have been recently developed or updated, enabling accurate and earlier diagnosis of CAA in living patients. SUMMARY Recent advances in neuroimaging allow diagnosing CAA in the absence of pathological examination. Current imaging-based criteria have high diagnostic performance in patients presenting with ICH, but is more limited in other clinical context such as cognitively impaired patients or asymptomatic individuals. Further research is still needed to improve diagnostic accuracy.
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Affiliation(s)
- Nicolas Raposo
- Department of neurology, Toulouse University Hospital
- Clinical Investigation Center, CIC1436, Toulouse University Hospital, F-CRIN/Strokelink Network, Toulouse
- Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France
| | - Charlotte Périole
- Department of neurology, Toulouse University Hospital
- Clinical Investigation Center, CIC1436, Toulouse University Hospital, F-CRIN/Strokelink Network, Toulouse
| | - Mélanie Planton
- Department of neurology, Toulouse University Hospital
- Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France
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Bangad A, Abbasi M, Payabvash S, de Havenon A. Imaging of Amyloid-beta-related Arteritis. Neuroimaging Clin N Am 2024; 34:167-173. [PMID: 37951701 DOI: 10.1016/j.nic.2023.09.001] [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] [Indexed: 11/14/2023]
Abstract
Cerebral amyloid angiopathy (CAA) is a cerebrovascular disorder marked by the accumulation of amyloid-beta peptide (Aβ) within the leptomeninges and smaller blood vessels of the brain. CAA can be both noninflammatory and inflammatory, and the inflammatory version includes Aβ-related angiitis (ABRA). ABRA is a vasculitis of the central nervous system related to an inflammatory response to Aβ in the vascular walls, which necessitates differentiating ABRA from noninflammatory CAA, as ABRA may require immunosuppressive treatment. MR imaging is typically the most effective imaging modality of choice to screen for these conditions, and they should be obtained at varying time points to track disease progression.
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Affiliation(s)
- Aaron Bangad
- Department of Neurology, Yale University, New Haven, CT, USA
| | - Mehdi Abbasi
- Department of Neurology, Yale University, New Haven, CT, USA
| | - Sam Payabvash
- Center for Brain and Mind Health, Yale University, New Haven, CT, USA
| | - Adam de Havenon
- Department of Neurology, Yale University, New Haven, CT, USA; Center for Brain and Mind Health, Yale University, New Haven, CT, USA.
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12
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Zanon Zotin MC, Makkinejad N, Schneider JA, Arfanakis K, Charidimou A, Greenberg SM, van Veluw SJ. Sensitivity and Specificity of the Boston Criteria Version 2.0 for the Diagnosis of Cerebral Amyloid Angiopathy in a Community-Based Sample. Neurology 2024; 102:e207940. [PMID: 38165367 PMCID: PMC10834125 DOI: 10.1212/wnl.0000000000207940] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 09/27/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES The Boston criteria are a set of clinical and neuroimaging features that enable accurate diagnosis of cerebral amyloid angiopathy (CAA) without invasive methods such as brain biopsies or autopsy. The last updates to the Boston criteria, named version 2.0, were recently released and incorporated new nonhemorrhagic MRI features. These criteria have been validated in symptomatic samples, with improved diagnostic yield. We set out to investigate the accuracy of the Boston criteria v2.0 for the diagnosis of CAA in a community-based sample. METHODS Participants were recruited from longitudinal clinical-pathologic studies of aging conducted at the Rush Alzheimer's Disease Center in Chicago: the Religious Orders Study and the Rush Memory and Aging Project. Deceased participants with in vivo 3T MRI and detailed pathologic data available were included in the analysis. We compared the diagnostic yield of the current and earlier versions of the Boston criteria in our sample. Among those classified as probable CAA according to the Boston criteria v2.0, we investigated the ability of each neuroimaging marker to distinguish between false-positive and true-positive cases. RESULTS In total, 134 individuals were included in the study (mean age = 82.4 ± 6.0 years; 69.4% F), and 49 of them were considered pathology-proven definite cases with CAA (mean age = 82.9 ± 6.0 years; 63.3% F). The Boston criteria versions 1.0 and 1.5 yielded similar sensitivity (26.5%, both), specificity (90.6% and 89.4%, respectively), and predictive values (negative: 68.1% and 67.9%; positive: 61.9% and 59.1%, respectively). The recently released Boston criteria v2.0 offered higher sensitivity (38.8%) and slightly lower specificity (83.5%). Among those classified as probable CAA (v2.0), pathology-proven true-positive cases had higher numbers of strictly cortical lobar microbleeds compared with false-positive cases (p = 0.004). DISCUSSION Similar to findings from symptomatic samples, the inclusion of nonhemorrhagic neuroimaging markers in the updated Boston criteria offered a 12.3% gain in sensitivity among community-dwelling individuals, at the expense of a 5.9% drop in specificity. In cases with probable CAA, the cortical location of microbleeds may represent a promising distinguishing feature between true-positive and false-positive cases. Despite its improved performance, the diagnostic sensitivity of the updated criteria in a community-based sample remains limited. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that the Boston criteria v2.0 accurately distinguishes people with CAA from those without CAA.
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Affiliation(s)
- Maria Clara Zanon Zotin
- From the J. Philip Kistler Stroke Research Center (M.C.Z.Z., N.M., A.C., S.M.G., S.J.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Center for Imaging Sciences and Medical Physics (M.C.Z.Z.), Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Brazil; Rush Alzheimer's Disease Center (J.A.S., K.A.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
| | - Nazanin Makkinejad
- From the J. Philip Kistler Stroke Research Center (M.C.Z.Z., N.M., A.C., S.M.G., S.J.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Center for Imaging Sciences and Medical Physics (M.C.Z.Z.), Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Brazil; Rush Alzheimer's Disease Center (J.A.S., K.A.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
| | - Julie A Schneider
- From the J. Philip Kistler Stroke Research Center (M.C.Z.Z., N.M., A.C., S.M.G., S.J.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Center for Imaging Sciences and Medical Physics (M.C.Z.Z.), Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Brazil; Rush Alzheimer's Disease Center (J.A.S., K.A.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
| | - Konstantinos Arfanakis
- From the J. Philip Kistler Stroke Research Center (M.C.Z.Z., N.M., A.C., S.M.G., S.J.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Center for Imaging Sciences and Medical Physics (M.C.Z.Z.), Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Brazil; Rush Alzheimer's Disease Center (J.A.S., K.A.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
| | - Andreas Charidimou
- From the J. Philip Kistler Stroke Research Center (M.C.Z.Z., N.M., A.C., S.M.G., S.J.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Center for Imaging Sciences and Medical Physics (M.C.Z.Z.), Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Brazil; Rush Alzheimer's Disease Center (J.A.S., K.A.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
| | - Steven M Greenberg
- From the J. Philip Kistler Stroke Research Center (M.C.Z.Z., N.M., A.C., S.M.G., S.J.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Center for Imaging Sciences and Medical Physics (M.C.Z.Z.), Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Brazil; Rush Alzheimer's Disease Center (J.A.S., K.A.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
| | - Susanne J van Veluw
- From the J. Philip Kistler Stroke Research Center (M.C.Z.Z., N.M., A.C., S.M.G., S.J.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Center for Imaging Sciences and Medical Physics (M.C.Z.Z.), Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Brazil; Rush Alzheimer's Disease Center (J.A.S., K.A.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
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Incontri D, Marchina S, Andreev A, Wilson M, Wang JY, Lin D, Heistand EC, Carvalho F, Selim M, Lioutas VA. Etiology of Primary Cerebellar Intracerebral Hemorrhage Based on Topographic Localization. Stroke 2023; 54:3074-3080. [PMID: 37842779 PMCID: PMC10843011 DOI: 10.1161/strokeaha.123.044271] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 09/22/2023] [Indexed: 10/17/2023]
Abstract
BACKGROUND Cerebellar intracerebral hemorrhage (cICH) is often attributed to hypertension or cerebral amyloid angiopathy (CAA). However, deciphering the exact etiology can be challenging. A recent study reported a topographical etiologic relationship with superficial cICH secondary to CAA. We aimed to reexamine this relationship between topography and etiology in a separate cohort of patients and using the most recent Boston criteria version 2.0. METHODS We performed a retrospective analysis of consecutive patients with primary cICH admitted to a tertiary academic center between 2000 and 2022. cICH location on brain computed tomography/magnetic resonance imaging scan(s) was divided into strictly superficial (cortex, surrounding white matter, vermis) versus deep (cerebellar nuclei, deep white matter, peduncular region) or mixed (both regions). Magnetic resonance imaging was rated for markers of cerebral small vessel disease. We assigned possible/probable versus absent CAA using Boston criteria 2.0. RESULTS We included 197 patients; 106 (53.8%) were females, median age was 74 (63-82) years. Fifty-six (28%) patients had superficial cICH and 141 (72%) deep/mixed cICH. Magnetic resonance imaging was available for 112 (57%) patients (30 [26.8%] with superficial and 82 [73.2%] with deep/mixed cICH). Patients with superficial cICH were more likely to have possible/probable CAA (48.3% versus 8.6%; odds ratio [OR], 11.43 [95% CI, 3.26-40.05]; P<0.001), strictly lobar cerebral microbleeds (51.7% versus 6.2%; OR, 14.18 [95% CI, 3.98-50.50]; P<0.001), and cortical superficial siderosis (13.8% versus 1.2%; OR, 7.70 [95% CI, 0.73-80.49]; P=0.08). Patients with deep/mixed cICH were more likely to have deep/mixed cerebral microbleeds (59.2% versus 3.4%; OR, 41.39 [95% CI, 5.01-341.68]; P=0.001), lacunes (54.9% versus 17.2%; OR, 6.14 [95% CI, 1.89-19.91]; P=0.002), severe basal ganglia enlarged perivascular spaces (36.6% versus 7.1%; OR, 7.63 [95% CI, 1.58-36.73]; P=0.01), hypertension (84.4% versus 62.5%; OR, 3.43 [95% CI, 1.61 to -7.30]; P=0.001), and higher admission systolic blood pressure (172 [146-200] versus 146 [124-158] mm Hg, P<0.001). CONCLUSIONS Our results suggest that superficial cICH is strongly associated with CAA whereas deep/mixed cICH is strongly associated with hypertensive arteriopathy.
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Affiliation(s)
- Diego Incontri
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
- Centro de Investigación en Ciencias de la Salud (CICSA), FCS, Universidad Anáhuac México Campus Norte, Av. Universidad Anáhuac No. 46, Col. Lomas Anáhuac, Huixquilucan, CP 52786, Edo. de México, México
| | - Sarah Marchina
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Alexander Andreev
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Mitchell Wilson
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Jia-Yi Wang
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - David Lin
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Elizabeth C. Heistand
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Filipa Carvalho
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Magdy Selim
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Vasileios-Arsenios Lioutas
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
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Switzer A, Charidimou A, McCarter SJ, Vemuri P, Nguyen A, Przybelski SA, Lesnick TG, Rabinstein AA, Brown RD, Knopman DS, Petersen RC, Jack CR, Reichard RR, Graff-Radford J. Boston criteria v2.0 for cerebral amyloid angiopathy without hemorrhage: An MRI-neuropathological validation study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.09.23298325. [PMID: 37986913 PMCID: PMC10659504 DOI: 10.1101/2023.11.09.23298325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
BACKGROUND Updated criteria for the clinical-MRI diagnosis of cerebral amyloid angiopathy (CAA) have recently been proposed. However, their performance in individuals without intracerebral hemorrhage (ICH) or transient focal neurological episodes (TFNE) is unknown. We assessed the diagnostic performance of the Boston criteria version 2.0 for CAA diagnosis in a cohort of individuals presenting without symptomatic ICH. METHODS Fifty-four participants from the Mayo Clinic Study of Aging or Alzheimer's Disease Research Center were included if they had an antemortem MRI with gradient-recall echo sequences and a brain autopsy with CAA evaluation. Performance of the Boston criteria v2.0 was compared to v1.5 using histopathologically verified CAA as the reference standard. RESULTS Median age at MRI was 75 years (IQR 65-80) with 28/54 participants having histopathologically verified CAA (i.e., moderate-to-severe CAA in at least 1 lobar region). The sensitivity and specificity of the Boston criteria v2.0 were 28.6% (95%CI: 13.2-48.7%) and 65.3% (95%CI: 44.3-82.8%) for probable CAA diagnosis (AUC 0.47) and 75.0% (55.1-89.3) and 38.5% (20.2-59.4) for any CAA diagnosis (possible + probable; AUC: 0.57), respectively. The v2.0 Boston criteria was not superior in performance compared to the prior v1.5 criteria for either CAA diagnostic category. CONCLUSIONS The Boston criteria v2.0 have low accuracy in patients who are asymptomatic or only have cognitive symptoms.. Additional biomarkers need to be explored to optimize CAA diagnosis in this population.
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Perosa V, Auger CA, Zanon Zotin MC, Oltmer J, Frosch MP, Viswanathan A, Greenberg SM, van Veluw SJ. Histopathological Correlates of Lobar Microbleeds in False-Positive Cerebral Amyloid Angiopathy Cases. Ann Neurol 2023; 94:856-870. [PMID: 37548609 PMCID: PMC11573502 DOI: 10.1002/ana.26761] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 07/05/2023] [Accepted: 07/31/2023] [Indexed: 08/08/2023]
Abstract
OBJECTIVE A definite diagnosis of cerebral amyloid angiopathy (CAA), characterized by the accumulation of amyloid β in walls of cerebral small vessels, can only be obtained through pathological examination. A diagnosis of probable CAA during life relies on the presence of hemorrhagic markers, including lobar cerebral microbleeds (CMBs). The aim of this project was to study the histopathological correlates of lobar CMBs in false-positive CAA cases. METHODS In 3 patients who met criteria for probable CAA during life, but showed no CAA upon neuropathological examination, lobar CMBs were counted on ex vivo 3T magnetic resonance imaging (MRI) and on ex vivo 7T MRI. Areas with lobar CMBs were next sampled and cut into serial sections, on which the CMBs were then identified. RESULTS Collectively, there were 25 lobar CMBs on in vivo MRI and 22 on ex vivo 3T MRI of the analyzed hemispheres. On ex vivo MRI, we targeted 12 CMBs for sampling, and definite histopathological correlates were retrieved for 9 of them, of which 7 were true CMBs. No CAA was found on any of the serial sections. The "culprit vessels" associated with the true CMBs instead showed moderate to severe arteriolosclerosis. Furthermore, CMBs in false-positive CAA cases tended to be located more often in the juxtacortical or subcortical white matter than in the cortical ribbon. INTERPRETATION These findings suggest that arteriolosclerosis can generate lobar CMBs and that more detailed investigations into the exact localization of CMBs with respect to the cortical ribbon could potentially aid the diagnosis of CAA during life. ANN NEUROL 2023;94:856-870.
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Affiliation(s)
- Valentina Perosa
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Corinne A Auger
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Maria Clara Zanon Zotin
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Center for Imaging Sciences and Medical Physics, Department of Medical Imaging, Hematology, and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Jan Oltmer
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Matthew P Frosch
- Department of Neuropathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Anand Viswanathan
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Steven M Greenberg
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Susanne J van Veluw
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
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16
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Nikseresht G, Evia AM, Nag S, Leurgans SE, Capuano AW, Agam G, Barnes LL, Bennett DA, Schneider JA, Arfanakis K. Neuropathologic correlates of cerebral microbleeds in community-based older adults. Neurobiol Aging 2023; 129:89-98. [PMID: 37279617 PMCID: PMC10524842 DOI: 10.1016/j.neurobiolaging.2023.05.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 04/14/2023] [Accepted: 05/04/2023] [Indexed: 06/08/2023]
Abstract
Cerebral microbleeds (CMBs) appearing as hypointense foci on T2*-weighted magnetic resonance images are small hemorrhages that have been linked to cognitive decline and increased mortality. However, the neuropathologic correlates of CMBs in community-based older adults are poorly understood. The present study investigated the association of age-related neuropathologies with CMBs in community-based older adults. Cerebral hemispheres from 289 participants of the Rush Memory and Aging Project, Religious Orders Study, Minority Aging Research Study, and Rush Alzheimer's Disease Clinical Core underwent ex vivo MRI and detailed neuropathologic examination. Following Bonferroni correction, CMBs in the cerebrum overall and in the frontal lobe were associated with cerebral amyloid angiopathy, CMBs in the frontal lobe were also associated with arteriolosclerosis, and CMBs in the basal ganglia showed a borderline significant association with microinfarcts. These findings suggest that CMBs can aid in the prediction of small vessel disease in community-based older adults. Finally, CMBs were not associated with dementia, suggesting that CMBs in community-based older adults may not be linked to substantial cognitive impairment.
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Affiliation(s)
- Grant Nikseresht
- Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Arnold M Evia
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Sukriti Nag
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Ana W Capuano
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Gady Agam
- Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA
| | - Lisa L Barnes
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL, USA.
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17
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Inoue Y, Shue F, Bu G, Kanekiyo T. Pathophysiology and probable etiology of cerebral small vessel disease in vascular dementia and Alzheimer's disease. Mol Neurodegener 2023; 18:46. [PMID: 37434208 PMCID: PMC10334598 DOI: 10.1186/s13024-023-00640-5] [Citation(s) in RCA: 87] [Impact Index Per Article: 43.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 06/28/2023] [Indexed: 07/13/2023] Open
Abstract
Vascular cognitive impairment and dementia (VCID) is commonly caused by vascular injuries in cerebral large and small vessels and is a key driver of age-related cognitive decline. Severe VCID includes post-stroke dementia, subcortical ischemic vascular dementia, multi-infarct dementia, and mixed dementia. While VCID is acknowledged as the second most common form of dementia after Alzheimer's disease (AD) accounting for 20% of dementia cases, VCID and AD frequently coexist. In VCID, cerebral small vessel disease (cSVD) often affects arterioles, capillaries, and venules, where arteriolosclerosis and cerebral amyloid angiopathy (CAA) are major pathologies. White matter hyperintensities, recent small subcortical infarcts, lacunes of presumed vascular origin, enlarged perivascular space, microbleeds, and brain atrophy are neuroimaging hallmarks of cSVD. The current primary approach to cSVD treatment is to control vascular risk factors such as hypertension, dyslipidemia, diabetes, and smoking. However, causal therapeutic strategies have not been established partly due to the heterogeneous pathogenesis of cSVD. In this review, we summarize the pathophysiology of cSVD and discuss the probable etiological pathways by focusing on hypoperfusion/hypoxia, blood-brain barriers (BBB) dysregulation, brain fluid drainage disturbances, and vascular inflammation to define potential diagnostic and therapeutic targets for cSVD.
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Affiliation(s)
- Yasuteru Inoue
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Francis Shue
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Guojun Bu
- SciNeuro Pharmaceuticals, Rockville, MD 20850 USA
| | - Takahisa Kanekiyo
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
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18
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Moura J, Maia LF. Boston criteria version 2.0 and non-haemorrhagic presentations. Lancet Neurol 2023; 22:466. [PMID: 37210090 DOI: 10.1016/s1474-4422(23)00161-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 01/09/2023] [Accepted: 04/24/2023] [Indexed: 05/22/2023]
Affiliation(s)
- João Moura
- Department of Neurology, Centro Hospitalar Universitário de Santo António, Porto 4099-001, Portugal
| | - Luís F Maia
- Department of Neurology, Centro Hospitalar Universitário de Santo António, Porto 4099-001, Portugal; Instituto de Ciências Biomédicas Abel Salazar, University of Porto, Porto, Portugal; i3S-Instituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal.
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19
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Sembill JA, Lusse C, Linnerbauer M, Sprügel MI, Mrochen A, Knott M, Engelhorn T, Schmidt MA, Doerfler A, Oberstein TJ, Maler JM, Kornhuber J, Lewczuk P, Rothhammer V, Schwab S, Kuramatsu JB. Cerebrospinal fluid biomarkers for cerebral amyloid angiopathy. Brain Commun 2023; 5:fcad159. [PMID: 37389304 PMCID: PMC10300526 DOI: 10.1093/braincomms/fcad159] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 03/10/2023] [Accepted: 05/17/2023] [Indexed: 07/01/2023] Open
Abstract
Integrating cerebrospinal fluid-biomarkers into diagnostic workup of patients with sporadic cerebral amyloid angiopathy may support early and correct identification. We aimed to identify and validate clinical- and cerebrospinal fluid-biomarkers for in vivo diagnosis of cerebral amyloid angiopathy. This observational cohort study screened 2795 consecutive patients admitted for cognitive complaints to the academic departments of neurology and psychiatry over a 10-year period (2009-2018). We included 372 patients with available hemosiderin-sensitive MR imaging and cerebrospinal fluid-based neurochemical dementia diagnostics, i.e. Aβ40, Aβ42, t-tau, p-tau. We investigated the association of clinical- and cerebrospinal fluid-biomarkers with the MRI-based diagnosis of cerebral amyloid angiopathy, applying confounder-adjusted modelling, receiver operating characteristic and unsupervised cluster analyses. We identified 67 patients with cerebral amyloid angiopathy, 76 patients with Alzheimer's disease, 75 patients with mild cognitive impairment due to Alzheimer's disease, 76 patients with mild cognitive impairment with unlikely Alzheimer's disease and 78 healthy controls. Patients with cerebral amyloid angiopathy showed a specific cerebrospinal fluid pattern: average concentration of Aß40 [13 792 pg/ml (10 081-18 063)] was decreased compared to all controls (P < 0.05); Aß42 [634 pg/ml (492-834)] was comparable to Alzheimer's disease and mild cognitive impairment due to Alzheimer's disease (P = 0.10, P = 0.93) but decreased compared to mild cognitive impairment and healthy controls (both P < 0.001); p-tau [67.3 pg/ml (42.9-91.9)] and t-tau [468 pg/ml (275-698)] were decreased compared to Alzheimer's disease (P < 0.001, P = 0.001) and mild cognitive impairment due to Alzheimer's disease (P = 0.001, P = 0.07), but elevated compared to mild cognitive impairment and healthy controls (both P < 0.001). Multivariate modelling validated independent clinical association of cerebral amyloid angiopathy with older age [odds-ratio: 1.06, 95% confidence interval (1.02-1.10), P < 0.01], prior lobar intracerebral haemorrhage [14.00 (2.64-74.19), P < 0.01], prior ischaemic stroke [3.36 (1.58-7.11), P < 0.01], transient focal neurologic episodes (TFNEs) [4.19 (1.06-16.64), P = 0.04] and gait disturbance [2.82 (1.11-7.15), P = 0.03]. For cerebrospinal fluid-biomarkers per 1 pg/ml, both lower Aß40 [0.9999 (0.9998-1.0000), P < 0.01] and lower Aß42 levels [0.9989 (0.9980-0.9998), P = 0.01] provided an independent association with cerebral amyloid angiopathy controlled for all aforementioned clinical confounders. Both amyloid biomarkers showed good discrimination for diagnosis of cerebral amyloid angiopathy among adjusted receiver operating characteristic analyses (area under the receiver operating characteristic curves, Aß40: 0.80 (0.73-0.86), P < 0.001; Aß42: 0.81 (0.75-0.88), P < 0.001). Unsupervised Euclidian clustering of all cerebrospinal fluid-biomarker-profiles resulted in distinct segregation of cerebral amyloid angiopathy patients from all controls. Together, we demonstrate that a distinctive set of cerebrospinal fluid-biomarkers effectively differentiate cerebral amyloid angiopathy patients from patients with Alzheimer's disease, mild cognitive impairment with or without underlying Alzheimer's disease, and healthy controls. Integrating our findings into a multiparametric approach may facilitate diagnosing cerebral amyloid angiopathy, and may aid clinical decision-making, but warrants future prospective validation.
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Affiliation(s)
- Jochen A Sembill
- Department of Neurology, University Hospital Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - Christoph Lusse
- Department of Neurology, University Hospital Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - Mathias Linnerbauer
- Department of Neurology, University Hospital Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - Maximilian I Sprügel
- Department of Neurology, University Hospital Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - Anne Mrochen
- Department of Neurology, University Hospital Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - Michael Knott
- Department of Neuroradiology, University Hospital Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - Tobias Engelhorn
- Department of Neuroradiology, University Hospital Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - Manuel Alexander Schmidt
- Department of Neuroradiology, University Hospital Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - Arnd Doerfler
- Department of Neuroradiology, University Hospital Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - Timo Jan Oberstein
- Department of Psychiatry and Psychotherapy, University Hospital Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Juan Manuel Maler
- Department of Psychiatry and Psychotherapy, University Hospital Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, University Hospital Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, University Hospital Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, and Department of Biochemical Diagnostics, University Hospital of Bialystok, 15-090 Bialystok, Poland
| | - Veit Rothhammer
- Department of Neurology, University Hospital Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - Stefan Schwab
- Department of Neurology, University Hospital Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - Joji B Kuramatsu
- Correspondence to: Joji B. Kuramatsu, MD Department of Neurology, University Hospital Erlangen Schwabachanlage 6, 91054 Erlangen, Germany E-mail:
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20
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Charidimou A, Boulouis G, Frosch MP, Baron JC, Pasi M, Albucher JF, Banerjee G, Barbato C, Bonneville F, Brandner S, Calviere L, Caparros F, Casolla B, Cordonnier C, Delisle MB, Deramecourt V, Dichgans M, Gokcal E, Herms J, Hernandez-Guillamon M, Jäger HR, Jaunmuktane Z, Linn J, Martinez-Ramirez S, Martínez-Sáez E, Mawrin C, Montaner J, Moulin S, Olivot JM, Piazza F, Puy L, Raposo N, Rodrigues MA, Roeber S, Romero JR, Samarasekera N, Schneider JA, Schreiber S, Schreiber F, Schwall C, Smith C, Szalardy L, Varlet P, Viguier A, Wardlaw JM, Warren A, Wollenweber FA, Zedde M, van Buchem MA, Gurol ME, Viswanathan A, Al-Shahi Salman R, Smith EE, Werring DJ, Greenberg SM. The Boston criteria version 2.0 for cerebral amyloid angiopathy: a multicentre, retrospective, MRI-neuropathology diagnostic accuracy study. Lancet Neurol 2022; 21:714-725. [PMID: 35841910 PMCID: PMC9389452 DOI: 10.1016/s1474-4422(22)00208-3] [Citation(s) in RCA: 316] [Impact Index Per Article: 105.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 04/11/2022] [Accepted: 05/06/2022] [Indexed: 12/26/2022]
Abstract
BACKGROUND Cerebral amyloid angiopathy (CAA) is an age-related small vessel disease, characterised pathologically by progressive deposition of amyloid β in the cerebrovascular wall. The Boston criteria are used worldwide for the in-vivo diagnosis of CAA but have not been updated since 2010, before the emergence of additional MRI markers. We report an international collaborative study aiming to update and externally validate the Boston diagnostic criteria across the full spectrum of clinical CAA presentations. METHODS In this multicentre, hospital-based, retrospective, MRI and neuropathology diagnostic accuracy study, we did a retrospective analysis of clinical, radiological, and histopathological data available to sites participating in the International CAA Association to formulate updated Boston criteria and establish their diagnostic accuracy across different populations and clinical presentations. Ten North American and European academic medical centres identified patients aged 50 years and older with potential CAA-related clinical presentations (ie, spontaneous intracerebral haemorrhage, cognitive impairment, or transient focal neurological episodes), available brain MRI, and histopathological assessment for CAA diagnosis. MRI scans were centrally rated at Massachusetts General Hospital (Boston, MA, USA) for haemorrhagic and non-haemorrhagic CAA markers, and brain tissue samples were rated by neuropathologists at the contributing sites. We derived the Boston criteria version 2.0 (v2.0) by selecting MRI features to optimise diagnostic specificity and sensitivity in a prespecified derivation cohort (Boston cases 1994-2012, n=159), then externally validated the criteria in a prespecified temporal validation cohort (Boston cases 2012-18, n=59) and a geographical validation cohort (non-Boston cases 2004-18; n=123), comparing accuracy of the new criteria to the currently used modified Boston criteria with histopathological assessment of CAA as the diagnostic standard. We also assessed performance of the v2.0 criteria in patients across all cohorts who had the diagnostic gold standard of brain autopsy. FINDINGS The study protocol was finalised on Jan 15, 2017, patient identification was completed on Dec 31, 2018, and imaging analyses were completed on Sept 30, 2019. Of 401 potentially eligible patients presenting to Massachusetts General Hospital, 218 were eligible to be included in the analysis; of 160 patient datasets from other centres, 123 were included. Using the derivation cohort, we derived provisional criteria for probable CAA requiring the presence of at least two strictly lobar haemorrhagic lesions (ie, intracerebral haemorrhages, cerebral microbleeds, or foci of cortical superficial siderosis) or at least one strictly lobar haemorrhagic lesion and at least one white matter characteristic (ie, severe visible perivascular spaces in centrum semiovale or white matter hyperintensities in a multispot pattern). The sensitivity and specificity of these criteria were 74·8% (95% CI 65·4-82·7) and 84·6% (71·9-93·1) in the derivation cohort, 92·5% (79·6-98·4) and 89·5% (66·9-98·7) in the temporal validation cohort, 80·2% (70·8-87·6) and 81·5% (61·9-93·7) in the geographical validation cohort, and 74·5% (65·4-82·4) and 95·0% (83·1-99·4) in all patients who had autopsy as the diagnostic standard. The area under the receiver operating characteristic curve (AUC) was 0·797 (0·732-0·861) in the derivation cohort, 0·910 (0·828-0·992) in the temporal validation cohort, 0·808 (0·724-0·893) in the geographical validation cohort, and 0·848 (0·794-0·901) in patients who had autopsy as the diagnostic standard. The v2.0 Boston criteria for probable CAA had superior accuracy to the current Boston criteria (sensitivity 64·5% [54·9-73·4]; specificity 95·0% [83·1-99·4]; AUC 0·798 [0·741-0854]; p=0·0005 for comparison of AUC) across all individuals who had autopsy as the diagnostic standard. INTERPRETATION The Boston criteria v2.0 incorporate emerging MRI markers of CAA to enhance sensitivity without compromising their specificity in our cohorts of patients aged 50 years and older presenting with spontaneous intracerebral haemorrhage, cognitive impairment, or transient focal neurological episodes. Future studies will be needed to determine generalisability of the v.2.0 criteria across the full range of patients and clinical presentations. FUNDING US National Institutes of Health (R01 AG26484).
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Affiliation(s)
- Andreas Charidimou
- Hemorrhagic Stroke Research Program, J Philip Kistler Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
| | - Gregoire Boulouis
- Hemorrhagic Stroke Research Program, J Philip Kistler Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Groupe Hospitalier Universitaire (GHU) Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM UMR-S1266, Université Paris Cité, Paris, France
| | - Matthew P Frosch
- C S Kubik Laboratory of Neuropathology, Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Jean-Claude Baron
- Groupe Hospitalier Universitaire (GHU) Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM UMR-S1266, Université Paris Cité, Paris, France; GHU Psychiatrie et Neurosciences, site Sainte-Anne, Paris, France
| | - Marco Pasi
- Hemorrhagic Stroke Research Program, J Philip Kistler Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Université Lille, INSERM, Centre Hospitalier Universitaire (CHU) Lille, U1172-Lille Neuroscience and Cognition, Lille, France
| | - Jean Francois Albucher
- Departments of Neurology, Neuroradiology, and Pathology, Hôpital Pierre-Paul Riquet, CHU Toulouse, Toulouse Neuroimaging Centre, Universite da Toulouse, INSERM UPS, France
| | - Gargi Banerjee
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology and National Hospital for Neurology and Neurosurgery, London, UK
| | - Carmen Barbato
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology and National Hospital for Neurology and Neurosurgery, London, UK
| | - Fabrice Bonneville
- Departments of Neurology, Neuroradiology, and Pathology, Hôpital Pierre-Paul Riquet, CHU Toulouse, Toulouse Neuroimaging Centre, Universite da Toulouse, INSERM UPS, France
| | - Sebastian Brandner
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology and National Hospital for Neurology and Neurosurgery, London, UK
| | - Lionel Calviere
- Departments of Neurology, Neuroradiology, and Pathology, Hôpital Pierre-Paul Riquet, CHU Toulouse, Toulouse Neuroimaging Centre, Universite da Toulouse, INSERM UPS, France
| | - François Caparros
- Université Lille, INSERM, Centre Hospitalier Universitaire (CHU) Lille, U1172-Lille Neuroscience and Cognition, Lille, France
| | - Barbara Casolla
- Université Lille, INSERM, Centre Hospitalier Universitaire (CHU) Lille, U1172-Lille Neuroscience and Cognition, Lille, France
| | - Charlotte Cordonnier
- Université Lille, INSERM, Centre Hospitalier Universitaire (CHU) Lille, U1172-Lille Neuroscience and Cognition, Lille, France
| | - Marie-Bernadette Delisle
- Departments of Neurology, Neuroradiology, and Pathology, Hôpital Pierre-Paul Riquet, CHU Toulouse, Toulouse Neuroimaging Centre, Universite da Toulouse, INSERM UPS, France
| | - Vincent Deramecourt
- Université Lille, INSERM, Centre Hospitalier Universitaire (CHU) Lille, U1172-Lille Neuroscience and Cognition, Lille, France
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Ludwig-Maximilians University Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy) and German Center for Neurodegenerative Diseases, Munich, Germany
| | - Elif Gokcal
- Hemorrhagic Stroke Research Program, J Philip Kistler Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Jochen Herms
- Center for Neuropathology and Prion Research, Ludwig-Maximilians University Munich, Munich, Germany
| | - Mar Hernandez-Guillamon
- Neurovascular Research Laboratory, Institut de Recerca Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Hans Rolf Jäger
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology and National Hospital for Neurology and Neurosurgery, London, UK
| | - Zane Jaunmuktane
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology and National Hospital for Neurology and Neurosurgery, London, UK
| | - Jennifer Linn
- Institute for Diagnostic and Interventional Neuroradiology, University Hospital, Dresden, Germany
| | - Sergi Martinez-Ramirez
- Hemorrhagic Stroke Research Program, J Philip Kistler Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Framingham Heart Study and Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Elena Martínez-Sáez
- Neurovascular Research Laboratory, Institut de Recerca Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Christian Mawrin
- Departments of Neuropathology, Neurosurgery, and Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Joan Montaner
- Neurovascular Research Laboratory, Institut de Recerca Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Institute of Biomedicine of Seville, Hospital Universitario Virgen Macarena, Consejo Superior de Investigaciones Científicas, University of Seville, Spain
| | - Solene Moulin
- Université Lille, INSERM, Centre Hospitalier Universitaire (CHU) Lille, U1172-Lille Neuroscience and Cognition, Lille, France
| | - Jean-Marc Olivot
- Departments of Neurology, Neuroradiology, and Pathology, Hôpital Pierre-Paul Riquet, CHU Toulouse, Toulouse Neuroimaging Centre, Universite da Toulouse, INSERM UPS, France
| | - Fabrizio Piazza
- CAA and AD Translational Research and Biomarkers Laboratory, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Laurent Puy
- Université Lille, INSERM, Centre Hospitalier Universitaire (CHU) Lille, U1172-Lille Neuroscience and Cognition, Lille, France
| | - Nicolas Raposo
- Departments of Neurology, Neuroradiology, and Pathology, Hôpital Pierre-Paul Riquet, CHU Toulouse, Toulouse Neuroimaging Centre, Universite da Toulouse, INSERM UPS, France
| | - Mark A Rodrigues
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Sigrun Roeber
- Center for Neuropathology and Prion Research, Ludwig-Maximilians University Munich, Munich, Germany
| | - Jose Rafael Romero
- Framingham Heart Study and Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | | | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Stefanie Schreiber
- Departments of Neuropathology, Neurosurgery, and Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Frank Schreiber
- Departments of Neuropathology, Neurosurgery, and Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Corentin Schwall
- Groupe Hospitalier Universitaire (GHU) Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM UMR-S1266, Université Paris Cité, Paris, France; GHU Psychiatrie et Neurosciences, site Sainte-Anne, Paris, France
| | - Colin Smith
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Levente Szalardy
- Department of Neurology, Faculty of Medicine, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary
| | - Pascale Varlet
- Groupe Hospitalier Universitaire (GHU) Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM UMR-S1266, Université Paris Cité, Paris, France; GHU Psychiatrie et Neurosciences, site Sainte-Anne, Paris, France
| | - Alain Viguier
- Departments of Neurology, Neuroradiology, and Pathology, Hôpital Pierre-Paul Riquet, CHU Toulouse, Toulouse Neuroimaging Centre, Universite da Toulouse, INSERM UPS, France
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Andrew Warren
- Hemorrhagic Stroke Research Program, J Philip Kistler Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Frank A Wollenweber
- Institute for Stroke and Dementia Research, Ludwig-Maximilians University Munich, Munich, Germany; Helios Dr Horst Schmidt Kliniken, Wiesbaden, Germany
| | - Marialuisa Zedde
- Neurology Unit-Stroke Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Mark A van Buchem
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - M Edip Gurol
- Hemorrhagic Stroke Research Program, J Philip Kistler Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Anand Viswanathan
- Hemorrhagic Stroke Research Program, J Philip Kistler Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Rustam Al-Shahi Salman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Eric E Smith
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology and National Hospital for Neurology and Neurosurgery, London, UK
| | - Steven M Greenberg
- Hemorrhagic Stroke Research Program, J Philip Kistler Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
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Dondi F, Bertoli M, Lucchini S, Cerudelli E, Albano D, Bertagna F. PET imaging for the evaluation of cerebral amyloid angiopathy: a systematic review. Clin Transl Imaging 2022. [DOI: 10.1007/s40336-022-00511-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Abstract
Purpose
In the last years, the role of PET imaging in the assessment of cerebral amyloid angiopathy (CAA) is emerging. In this setting, some tracers have proven their utility for the evaluation of the disease (mainly 11C-Pittsburgh compound B [11C-PIB]), however, the value of other radiotracers has to be clarified. The aim of this systematic review is, therefore, to assess the role of PET imaging in the evaluation of CAA.
Methods
A wide literature search of the PubMed/MEDLINE, Scopus, Embase, Web of Science and Cochrane library databases was made to find relevant published articles about the diagnostic performance of PET imaging for the evaluation of CAA. Quality assessment including the risk of bias and applicability concerns was carried out using QUADAS-2 evaluation.
Results
The comprehensive computer literature search revealed 651 articles. On reviewing the titles and abstracts, 622 articles were excluded because the reported data were not within the field of interest. Twenty-nine studies were included in the review. In general, PET imaging with amyloid tracers revealed its value for the assessment of CAA, for its differential diagnosis and a correlation with some clinico-pathological features. With less evidence, a role for 18F-fluorodeoxiglucose (18F-FDG) and tau tracers is starting to emerge.
Conclusion
PET imaging demonstrated its utility for the assessment of CAA. In particular, amiloid tracers revealed higher retention in CAA patients, correlation with cerebral bleed, the ability to differentiate between CAA and other related conditions (such as Alzheimer's disease) and a correlation with some cerebrospinal fluid biomarkers.
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22
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New remote cerebral microbleeds in acute ischemic stroke: an analysis of the randomized, placebo-controlled WAKE-UP trial. J Neurol 2022; 269:5660-5667. [PMID: 35585334 PMCID: PMC9468109 DOI: 10.1007/s00415-022-11175-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 05/02/2022] [Accepted: 05/02/2022] [Indexed: 11/23/2022]
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23
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Cerebral small vessel disease alters neurovascular unit regulation of microcirculation integrity involved in vascular cognitive impairment. Neurobiol Dis 2022; 170:105750. [DOI: 10.1016/j.nbd.2022.105750] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 03/09/2022] [Accepted: 05/08/2022] [Indexed: 12/25/2022] Open
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24
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Grangeon L, Paquet C, Guey S, Zarea A, Martinaud O, Rotharmel M, Maltête D, Quillard-Muraine M, Nicolas G, Charbonnier C, Chabriat H, Wallon D. Cerebrospinal Fluid Profile of Tau, Phosphorylated Tau, Aβ42, and Aβ40 in Probable Cerebral Amyloid Angiopathy. J Alzheimers Dis 2022; 87:791-802. [DOI: 10.3233/jad-215208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background: There is no consensus regarding the diagnostic value of cerebrospinal fluid (CSF) Alzheimer’s disease (AD) biomarkers in cerebral amyloid angiopathy (CAA). Objective: To describe the CSF levels of Aβ 42, Aβ 40, total protein Tau, and phosphorylated-Tau (p-Tau) in a large series of probable CAA patients and to compare with AD patients in order to identify a specific pattern in CAA but also to look for correlations with the neuroimaging profile. Methods: We retrospectively included from 2 French centers probable CAA patients according to modified Boston criteria who underwent lumbar puncture (LP) with CSF AD biomarker quantifications. Two neurologists independently analyzed all MRI sequences. A logistic regression and Spearman’s correlation coefficient were used to identify correlation between MRI and CSF biomarkers in CAA. Results: We included 63 probable CAA and 27 AD patients. Among CAA 50.8% presented with decreased Aβ 42 level associated with elevated p-Tau and/or Tau, 34.9% with isolated decreased Aβ 42 level and 14.3% patients with normal Aβ 42 level. Compared to AD, CAA showed lower levels of Tau (p = 0.008), p-Tau (p = 0.004), and Aβ 40 (p = 0.001) but similar Aβ 42 level (p = 0.07). No correlation between Aβ 42 or Aβ 40 levels and neuroimaging was found. Conclusion: CSF biomarkers may improve the accuracy of the modified Boston criteria with altered profile in 85% of the patients fulfilling revised Boston criteria for probable CAA. Aβ 40 appears as an interesting selective biomarker in differential diagnosis.
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Affiliation(s)
- Lou Grangeon
- Normandie Univ, UNIROUEN, Inserm U1245 and CHURouen, Department of Neurology and CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | - Claire Paquet
- CMRR Paris Nord AP-HP, Groupe Hospitalier Lariboisière Fernand-Widal Saint-Louis, INSERM, U942, Université Paris Diderot, Sorbonne Paris Cité, UMRS 942, France
| | - Stéphanie Guey
- Department of Neurology, AP-HP, Groupe Hospitalier Lariboisière Fernand-Widal Saint-Louis, Paris, France
| | - Aline Zarea
- Normandie Univ, UNIROUEN, Inserm U1245 and CHURouen, Department of Neurology and CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | | | - Maud Rotharmel
- Rouvray Hospital of Rouen, University Department of Psychiatry, France
| | - David Maltête
- Normandie Univ, UNIROUEN, Inserm U1245 and CHURouen, Department of Neurology and CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | | | - Gael Nicolas
- Normandie Univ, UNIROUEN, Inserm U1245 and CHU Rouen, Department of Genetics and CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | - Camille Charbonnier
- Normandie Univ, UNIROUEN, Inserm U1245 and CHU Rouen, Department of Genetics and CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | - Hugues Chabriat
- Department of Neurology, AP-HP, Groupe Hospitalier Lariboisière Fernand-Widal Saint-Louis, Paris, France
| | - David Wallon
- Normandie Univ, UNIROUEN, Inserm U1245 and CHURouen, Department of Neurology and CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, Rouen, France
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25
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van Veluw SJ, Arfanakis K, Schneider JA. Neuropathology of Vascular Brain Health: Insights From Ex Vivo Magnetic Resonance Imaging-Histopathology Studies in Cerebral Small Vessel Disease. Stroke 2022; 53:404-415. [PMID: 35000425 PMCID: PMC8830602 DOI: 10.1161/strokeaha.121.032608] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Sporadic cerebral small vessel disease (SVD) is a major contributor to vascular cognitive impairment and dementia in the aging human brain. On neuropathology, sporadic SVD is characterized by abnormalities to the small vessels of the brain predominantly in the form of cerebral amyloid angiopathy and arteriolosclerosis. These pathologies frequently coexist with Alzheimer disease changes, such as plaques and tangles, in a single brain. Conversely, during life, magnetic resonance imaging (MRI) only captures the larger manifestations of SVD in the form of parenchymal brain abnormalities. There appears to be a major knowledge gap regarding the underlying neuropathology of individual MRI-detectable SVD abnormalities. Ex vivo MRI in postmortem human brain tissue is a powerful tool to bridge this gap. This review summarizes current insights into the histopathologic correlations of MRI manifestations of SVD, their underlying cause, presumed pathophysiology, and associated secondary tissue injury. Moreover, we discuss the advantages and limitations of ex vivo MRI-guided histopathologic investigations and make recommendations for future studies.
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Affiliation(s)
- Susanne J. van Veluw
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA,MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA, USA,Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA,Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Julie A. Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA,Departments of Pathology and Neurological Sciences, Rush University Medical Center, Chicago IL, USA
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26
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Sveikata L, Charidimou A, Viswanathan A. Vessels Sing Their ARIAs: The Role of Vascular Amyloid in the Age of Aducanumab. Stroke 2021; 53:298-302. [PMID: 34905943 DOI: 10.1161/strokeaha.121.036873] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
We review the implications of the recently approved aducanumab amyloid-β immunotherapy for treating Alzheimer disease with comorbid cerebral amyloid angiopathy. In clinical trials, amyloid-β immunotherapy has been associated with a high rate of amyloid-related imaging abnormalities, potentially driven by coexisting cerebral amyloid angiopathy. Therefore, immunotherapy's efficacy in patients may be modified by coexisting cerebrovascular pathology. We discuss the contributions of cerebral amyloid angiopathy on the development of amyloid-related imaging abnormalities and propose strategies to identify cerebral amyloid angiopathy in patients considered for immunotherapy.
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Affiliation(s)
- Lukas Sveikata
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston (L.S., A.C., A.V.).,Department of Clinical Neurosciences, Division of Neurology, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Switzerland (L.S.)
| | - Andreas Charidimou
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston (L.S., A.C., A.V.)
| | - Anand Viswanathan
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston (L.S., A.C., A.V.)
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27
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Chang Y, Liu J, Wang L, Li X, Wang Z, Lin M, Jin W, Zhu M, Xu B. Diagnostic Utility of Integrated 11C-Pittsburgh Compound B Positron Emission Tomography/Magnetic Resonance for Cerebral Amyloid Angiopathy: A Pilot Study. Front Aging Neurosci 2021; 13:721780. [PMID: 34899265 PMCID: PMC8660657 DOI: 10.3389/fnagi.2021.721780] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 10/25/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: We aimed to compare amyloid deposition at the lobar cerebral microbleed (CMB) sites of cerebral amyloid angiopathy (CAA), Alzheimer’s disease (AD), and cognitively normal healthy controls (NC) and to propose a novel diagnostic method for differentiating CAA patients from AD patients with integrated 11C-Pittsburgh compound B (PIB) positron emission tomography (PET)/magnetic resonance (MR) and assess its diagnostic value. Methods: Nine CAA, 15 AD patients, and 15 NC subjects were enrolled in this study. Each subject underwent an 11C-PIB brain PET/MR examination. Susceptibility weighted imaging was assessed to detect CMB locations, and standardized uptake value ratios (SUVRs) were measured at these sites. Cortical PIB distributions were quantitatively evaluated. Patients with CAA, AD, and NC subjects were compared with global and regional cortical SUVRs at CMB cites. The diagnostic accuracy of MRI, PIB-PET, and PET/MR in differentiating CAA and AD was evaluated. Results: Lobar CMBs were detected in all the CAA patients, eight of the 15 AD patients (53.3%), and four of the 15 NC subjects (26.7%), respectively. The PIB deposition at CMB sites was significantly higher in CAA patients compared with AD patients and NC subjects in terms of SUVR (1.72 ± 0.10 vs. 1.42 ± 0.16 and 1.17 ± 0.08; p < 0.0001). The PIB deposition was associated with CMB locations and was greatest in the occipital and temporal regions of CAA patients. The global cortical PIB deposition was significantly higher in CAA than in NC subjects (1.66 ± 0.06 vs. 1.21 ± 0.06; p < 0.0001) and significantly lower than in AD patients (1.66 ± 0.06 vs. 1.86 ± 0.17; p < 0.0001). In contrast, the occipital/global PIB uptake ratio was significantly increased in CAA (occipital/global ratio, 1.05 ± 0.02) relative to AD patients (1.05 ± 0.02 vs. 0.99 ± 0.04; p < 0.001). PET/MR had a higher accuracy (sensitivity, 88.9%; specificity, 93.3%) than separate PET and MR. Conclusion: Our results indicate that the CMBs occur preferentially at loci with concentrated amyloid. By combining lobar CMBs with regional cortical amyloid deposition, the proposed workflow can further improve CAA diagnostic accuracy compared to each method alone. These findings improve our knowledge regarding the pathogenesis of CMBs and highlight the potential utility of PIB-PET/MR as a non-invasive tool for distinguishing CAA and AD patients.
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Affiliation(s)
- Yan Chang
- Department of Nuclear Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Jiajin Liu
- Department of Nuclear Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Liang Wang
- PET/CT, Jixi Ji Mine Hospital, Jixi, China
| | - Xin Li
- Department of Interventional Radiology, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Zhenjun Wang
- Department of Radiology, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Mu Lin
- MR Collaboration, Diagnostic Imaging, Siemens Healthcare Ltd., Shanghai, China
| | - Wei Jin
- Department of Pathology, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Mingwei Zhu
- Department of Neurology Medicine, The Second Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Baixuan Xu
- Department of Nuclear Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
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28
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Shoamanesh A, Akoudad S, Himali JJ, Beiser AS, DeCarli C, Seshadri S, Ikram MA, Romero JR, Vernooij MW. Cortical superficial siderosis in the general population: The Framingham Heart and Rotterdam studies. Int J Stroke 2021; 16:798-808. [PMID: 33478376 PMCID: PMC9822782 DOI: 10.1177/1747493020984559] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
OBJECTIVE We aimed to characterize cortical superficial siderosis, its determinants and sequel, in community-dwelling older adults. METHODS The sample consisted of Framingham (n = 1724; 2000-2009) and Rotterdam (n = 4325; 2005-2013) study participants who underwent brain MRI. In pooled individual-level analysis, we compared baseline characteristics in patients with cortical superficial siderosis to two reference groups: (i) persons without hemorrhagic MRI markers of cerebral amyloid angiopathy (no cortical superficial siderosis and no microbleeds) and (ii) those with presumed cerebral amyloid angiopathy based on the presence of strictly lobar microbleeds but without cortical superficial siderosis. RESULTS Among a total of 6049 participants, 4846 did not have any microbleeds or cortical superficial siderosis (80%), 401 had deep/mixed microbleeds (6.6%), 776 had strictly lobar microbleeds without cortical superficial siderosis (12.8%) and 26 had cortical superficial siderosis with/without microbleeds (0.43%). In comparison to participants without microbleeds or cortical superficial siderosis and to those with strictly lobar microbleeds but without cortical superficial siderosis, participants with cortical superficial siderosis were older (OR 1.09 per year, 95% CI 1.05, 1.14; p < 0.001 and 1.04, 95% CI 1.00, 1.09; p = 0.058, respectively), had overrepresentation of the APOE ɛ4 allele (5.19, 2.04, 13.25; p = 0.001 and 3.47, 1.35, 8.92; p = 0.01), and greater prevalence of intracerebral hemorrhage (72.57, 9.12, 577.49; p < 0.001 and 81.49, 3.40, >999.99; p = 0.006). During a mean follow-up of 5.6 years, 42.4% participants with cortical superficial siderosis had a stroke (five intracerebral hemorrhage, two ischemic strokes and four undetermined strokes), 19.2% had transient neurological deficits and 3.8% developed incident dementia. CONCLUSION Our study adds supporting evidence to the association between cortical superficial siderosis and cerebral amyloid angiopathy within the general population. Community-dwelling persons with cortical superficial siderosis may be at high risk for intracerebral hemorrhage and future neurological events.
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Affiliation(s)
- Ashkan Shoamanesh
- Population Health Research Institute, McMaster University, Hamilton, ON, Canada,Boston University School of Medicine, Boston, MA, USA
| | | | - Jayandra J. Himali
- Boston University School of Medicine, Boston, MA, USA,The Framingham Heart Study, Framingham, MA, USA,Boston University School of Public Health, Boston, MA, USA,Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Alexa S. Beiser
- Boston University School of Medicine, Boston, MA, USA,The Framingham Heart Study, Framingham, MA, USA,Boston University School of Public Health, Boston, MA, USA
| | - Charles DeCarli
- Davis School of Medicine, University of California, Sacramento, CA, USA
| | - Sudha Seshadri
- Boston University School of Medicine, Boston, MA, USA,The Framingham Heart Study, Framingham, MA, USA,Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | | | - Jose R Romero
- Boston University School of Medicine, Boston, MA, USA
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29
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Costa AS, Pinho J, Kučikienė D, Reich A, Schulz JB, Reetz K. Cerebral Amyloid Angiopathy in Amyloid-Positive Patients from a Memory Clinic Cohort. J Alzheimers Dis 2021; 79:1661-1672. [PMID: 33492291 DOI: 10.3233/jad-201218] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND The overlap between cerebral amyloid angiopathy (CAA) and Alzheimer's disease (AD) is frequent and relevant for patients with cognitive impairment. OBJECTIVE To assess the role of the diagnosis of CAA on the phenotype of amyloid-β (Aβ) positive patients from a university-hospital memory clinic. METHODS Consecutive patients referred for suspected cognitive impairment, screened for Aβ pathological changes in cerebrospinal fluid (CSF), with available MRI and neuropsychological results were included. We determined the association between probable CAA and clinical, neuropsychological (at presentation and after a mean follow-up of 17 months in a sub-sample) and MRI (atrophy, white matter hyperintensities, perivascular spaces) characteristics. RESULTS Of 218 amyloid-positive patients, 8.3% fulfilled criteria for probable CAA. A multivariable logistic regression showed an independent association of probable CAA with lower Aβ1-42 (adjusted odds ratio [aOR] = 0.94, 95% confidence interval [95% CI] = 0.90-0.98, p = 0.003), and Aβ1-40 (aOR = 0.98, 95% CI=0.97-0.99 p = 0.017) levels in CSF, and presence of severe burden of enlarged perivascular spaces (EPVS) in the centrum semiovale (aOR = 3.67, 95% CI = 1.21-11.15, p = 0.022). Linear mixed-model analysis showed that both groups significantly deteriorated in global clinical severity, executive function and memory. Nevertheless, the presence of probable CAA did not differently affect the rate of cognitive decline. CONCLUSION The presence of probable CAA in Aβ positive patients was associated with lower Aβ1-42 and Aβ1-40 CSF levels and increased centrum semiovale EPVS burden, but did not independently influence clinical phenotype nor the rate of cognitive decline within our follow-up time window.
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Affiliation(s)
- Ana Sofia Costa
- Department of Neurology, University Hospital RWTH Aachen, Aachen, Germany.,JARA-Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich, Jülich, Germany and RWTH Aachen University, Aachen, Germany
| | - João Pinho
- Department of Neurology, University Hospital RWTH Aachen, Aachen, Germany
| | - Domantė Kučikienė
- Department of Neurology, University Hospital RWTH Aachen, Aachen, Germany
| | - Arno Reich
- Department of Neurology, University Hospital RWTH Aachen, Aachen, Germany
| | - Jörg B Schulz
- Department of Neurology, University Hospital RWTH Aachen, Aachen, Germany.,JARA-Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich, Jülich, Germany and RWTH Aachen University, Aachen, Germany
| | - Kathrin Reetz
- Department of Neurology, University Hospital RWTH Aachen, Aachen, Germany.,JARA-Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich, Jülich, Germany and RWTH Aachen University, Aachen, Germany
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30
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Okamoto N, Ikenouchi A, Seki I, Hirano N, Yoshimura R. Cerebral Amyloid Angiopathy With a Hypomanic Episode Treated With Valproic Acid. Cureus 2021; 13:e16411. [PMID: 34408959 PMCID: PMC8363160 DOI: 10.7759/cureus.16411] [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] [Accepted: 07/15/2021] [Indexed: 11/05/2022] Open
Abstract
Cerebral amyloid angiopathy (CAA) is a major cause of spontaneous intracerebral hemorrhage in the elderly. There are no reports of CAA causing mania or hypomanic episodes, and the incidence of mania or hypomanic episodes in patients with vascular dementia is generally considered to be rare. Here, we present a case of CAA with hypomania in which valproic acid (VPA) led to improvement in the symptoms of hypomania. An 80-year-old, right-handed Japanese woman with mild cognitive impairment (MCI) presented with a hypomanic episode. Her brain magnetic resonance imaging showed multiple obsolete infarcts and hemorrhages caused by CAA. We diagnosed her as suffering from a hypomanic episode in MCI associated with CAA and started VPA 400 mg/day for seven weeks. Her hypomanic episode gradually improved on VPA. This case indicates that VPA can be useful in the treatment of hypomanic episodes in MCI associated with CAA.
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Affiliation(s)
- Naomichi Okamoto
- Medical Center for Dementia, University Hospital/Psychiatry, University of Occupational and Environmental Health, Kitakyushu, JPN
| | - Atsuko Ikenouchi
- Medical Center for Dementia, University Hospital/Psychiatry, University of Occupational and Environmental Health, Kitakyushu, JPN
| | - Issei Seki
- Psychiatry, University of Occupational and Environmental Health, Kitakyushu, JPN
| | - Natsumi Hirano
- Radiology, University of Occupational and Environmental Health, Kitakyushu, JPN
| | - Reiji Yoshimura
- Psychiatry, University of Occupational and Environmental Health, Kitakyushu, JPN
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31
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Gerraty R. Not all cortical cerebral microbleeds are due to cerebral amyloid angiopathy. BMJ Neurol Open 2021; 3:e000194. [PMID: 35663369 PMCID: PMC9115017 DOI: 10.1136/bmjno-2021-000194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Richard Gerraty
- Department of Neurosciences, Epworth HealthCare, Richmond, Victoria, Australia
- Department of Neuroscience, Central Clinical School, Monash University, Clayton, Victoria, Australia
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Jäkel L, De Kort AM, Klijn CJM, Schreuder FHBM, Verbeek MM. Prevalence of cerebral amyloid angiopathy: A systematic review and meta-analysis. Alzheimers Dement 2021; 18:10-28. [PMID: 34057813 PMCID: PMC9290643 DOI: 10.1002/alz.12366] [Citation(s) in RCA: 147] [Impact Index Per Article: 36.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 04/05/2021] [Accepted: 04/12/2021] [Indexed: 01/05/2023]
Abstract
Reported prevalence estimates of sporadic cerebral amyloid angiopathy (CAA) vary widely. CAA is associated with cognitive dysfunction and intracerebral hemorrhage, and linked to immunotherapy‐related side‐effects in Alzheimer's disease (AD). Given ongoing efforts to develop AD immunotherapy, accurate estimates of CAA prevalence are important. CAA can be diagnosed neuropathologically or during life using MRI markers including strictly lobar microbleeds. In this meta‐analysis of 170 studies including over 73,000 subjects, we show that in patients with AD, CAA prevalence based on pathology (48%) is twice that based on presence of strictly lobar cerebral microbleeds (22%); in the general population this difference is three‐fold (23% vs 7%). Both methods yield similar estimated prevalences of CAA in cognitively normal elderly (5% to 7%), in patients with intracerebral hemorrhage (19% to 24%), and in patients with lobar intracerebral hemorrhage (50% to 57%). However, we observed large heterogeneity among neuropathology and MRI protocols, which calls for standardized assessment and reporting of CAA.
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Affiliation(s)
- Lieke Jäkel
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Cente, Nijmegen, The Netherlands
| | - Anna M De Kort
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Cente, Nijmegen, The Netherlands
| | - Catharina J M Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Cente, Nijmegen, The Netherlands
| | - Floris H B M Schreuder
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Cente, Nijmegen, The Netherlands
| | - Marcel M Verbeek
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Cente, Nijmegen, The Netherlands.,Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
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Meng N, Zhang W, Su Y, Ye Z, Qin C. Antiplatelet therapy may be safe in ischemic stroke patients with cerebral microbleed. J Int Med Res 2021; 48:300060520949396. [PMID: 32814470 PMCID: PMC7444122 DOI: 10.1177/0300060520949396] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Objective We examined whether antiplatelet therapy is safe for ischemic stroke patients with cerebral microbleed. Methods We retrospectively analyzed ischemic stroke patients admitted to our hospital from 2015 to 2018. Baseline information was extracted from the computerized database. Adverse events, including symptomatic cerebral hemorrhage, recurrent cerebral infarction, and death, were collected by phone. Results A total of 184 ischemic stroke patients were examined, including 106 with and 78 without cerebral microbleed. No patient experienced symptomatic cerebral hemorrhage after discharge. Patients with cerebral microbleed had a higher prevalence of hypertension (92% vs 74%) and suffered from more serious leukoaraiosis (3.0 ± 1.7 vs 1.3 ± 1.4 points on the Fazekas scale). Leukoaraiosis scores were correlated with the number of cerebral microbleeds (r = 0.42). Conclusions Antiplatelet therapy may be safe for ischemic stroke patients with cerebral microbleed. The risk-benefit ratio should be carefully evaluated before withholding antiplatelet therapy.
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Affiliation(s)
- Ningqin Meng
- The First Affiliated Hospital of Guangxi Medical University, Department of Neurology, Nanning, Guangxi, China
| | - Wei Zhang
- Jiangbin Hospital, Department of Neurology, Nanning, Guangxi, China
| | - Ying Su
- The First Affiliated Hospital of Guangxi Medical University, Department of Neurology, Nanning, Guangxi, China
| | - Ziming Ye
- The First Affiliated Hospital of Guangxi Medical University, Department of Neurology, Nanning, Guangxi, China
| | - Chao Qin
- The First Affiliated Hospital of Guangxi Medical University, Department of Neurology, Nanning, Guangxi, China
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Inoue Y, Ando Y, Misumi Y, Ueda M. Current Management and Therapeutic Strategies for Cerebral Amyloid Angiopathy. Int J Mol Sci 2021; 22:ijms22083869. [PMID: 33918041 PMCID: PMC8068954 DOI: 10.3390/ijms22083869] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 04/01/2021] [Accepted: 04/01/2021] [Indexed: 12/18/2022] Open
Abstract
Cerebral amyloid angiopathy (CAA) is characterized by accumulation of amyloid β (Aβ) in walls of leptomeningeal vessels and cortical capillaries in the brain. The loss of integrity of these vessels caused by cerebrovascular Aβ deposits results in fragile vessels and lobar intracerebral hemorrhages. CAA also manifests with progressive cognitive impairment or transient focal neurological symptoms. Although development of therapeutics for CAA is urgently needed, the pathogenesis of CAA remains to be fully elucidated. In this review, we summarize the epidemiology, pathology, clinical and radiological features, and perspectives for future research directions in CAA therapeutics. Recent advances in mass spectrometric methodology combined with vascular isolation techniques have aided understanding of the cerebrovascular proteome. In this paper, we describe several potential key CAA-associated molecules that have been identified by proteomic analyses (apolipoprotein E, clusterin, SRPX1 (sushi repeat-containing protein X-linked 1), TIMP3 (tissue inhibitor of metalloproteinases 3), and HTRA1 (HtrA serine peptidase 1)), and their pivotal roles in Aβ cytotoxicity, Aβ fibril formation, and vessel wall remodeling. Understanding the interactions between cerebrovascular Aβ deposits and molecules that accumulate with Aβ may lead to discovery of effective CAA therapeutics and to the identification of biomarkers for early diagnosis.
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Affiliation(s)
- Yasuteru Inoue
- Department of Neurology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto 860-8556, Japan; (Y.M.); (M.U.)
- Correspondence: ; Tel.: +81-96-373-5893; Fax: +81-96-373-5895
| | - Yukio Ando
- Department of Amyloidosis Research, Nagasaki International University, Sasebo 859-3298, Japan;
| | - Yohei Misumi
- Department of Neurology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto 860-8556, Japan; (Y.M.); (M.U.)
| | - Mitsuharu Ueda
- Department of Neurology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto 860-8556, Japan; (Y.M.); (M.U.)
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Zanon Zotin MC, Sveikata L, Viswanathan A, Yilmaz P. Cerebral small vessel disease and vascular cognitive impairment: from diagnosis to management. Curr Opin Neurol 2021; 34:246-257. [PMID: 33630769 PMCID: PMC7984766 DOI: 10.1097/wco.0000000000000913] [Citation(s) in RCA: 107] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE OF REVIEW We present recent developments in the field of small vessel disease (SVD)-related vascular cognitive impairment, including pathological mechanisms, updated diagnostic criteria, cognitive profile, neuroimaging markers and risk factors. We further address available management and therapeutic strategies. RECENT FINDINGS Vascular and neurodegenerative pathologies often co-occur and share similar risk factors. The updated consensus criteria aim to standardize vascular cognitive impairment (VCI) diagnosis, relying strongly on cognitive profile and MRI findings. Aggressive blood pressure control and multidomain lifestyle interventions are associated with decreased risk of cognitive impairment, but disease-modifying treatments are still lacking. Recent research has led to a better understanding of mechanisms leading to SVD-related cognitive decline, such as blood-brain barrier dysfunction, reduced cerebrovascular reactivity and impaired perivascular clearance. SUMMARY SVD is the leading cause of VCI and is associated with substantial morbidity. Tackling cardiovascular risk factors is currently the most effective approach to prevent cognitive decline in the elderly. Advanced imaging techniques provide tools for early diagnosis and may play an important role as surrogate markers for cognitive endpoints in clinical trials. Designing and testing disease-modifying interventions for VCI remains a key priority in healthcare.
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Affiliation(s)
- Maria Clara Zanon Zotin
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
- Center for Imaging Sciences and Medical Physics. Department of Medical Imaging, Hematology and Clinical Oncology. Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Lukas Sveikata
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospital, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Anand Viswanathan
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Pinar Yilmaz
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
- Departments of Epidemiology and Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
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Alber J, Arthur E, Goldfarb D, Drake J, Boxerman JL, Silver B, Ott BR, Johnson LN, Snyder PJ. The relationship between cerebral and retinal microbleeds in cerebral amyloid angiopathy (CAA): A pilot study. J Neurol Sci 2021; 423:117383. [PMID: 33684655 DOI: 10.1016/j.jns.2021.117383] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 01/26/2021] [Accepted: 02/26/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND The standard in vivo diagnostic imaging technique for cerebral amyloid angiopathy (CAA) is costly and thereby of limited utility for point-of-care diagnosis and monitoring of treatment efficacy. Recent recognition that retinal changes may reflect cerebral changes in neurodegenerative disease provides an ideal opportunity for development of accessible and cost-effective biomarkers for point-of-care use in the detection and monitoring of CAA. In this pilot study, we examined structural and angiographic retinal changes in CAA patients relative to a control group, and compared retinal and cerebral pathology in a group of CAA patients. METHODS We used spectral domain optical coherence tomography (SD-OCT) to image the retina and compared retinal microbleeds to both cerebral microbleeds and white matter hyperintensities (WMH) in CAA patients, as seen on MRI. We compared retinal angiographic changes, along with structural retinal neuronal layer changes in CAA patients and cognitively normal older adults, and examined the relationship between retinal and cerebral microbleeds and cognition in CAA patients. RESULTS We found a trend level correlation between retinal and cerebral microbleeds in CAA patients. Moreover, we found a significant correlation between retinal microbleeds and episodic memory performance in CAA patients. There were no significant group differences between CAA patients and cognitively normal older adults on retinal angiographic or structural measurements. CONCLUSION Retinal microbleeds may reflect degree of cerebral microbleed burden in CAA. This picture was complicated by systolic hypertension in the CAA group, which is a confounding factor for the interpretation of these data. Our results stimulate motivation for pursuit of a more comprehensive prospective study to determine the feasibility of retinal biomarkers in CAA.
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Affiliation(s)
- Jessica Alber
- Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, RI, USA; George and Anne Ryan Institute for Neuroscience, University of Rhode Island, Kingston, RI, USA; Memory & Aging Program, Butler Hospital, Providence, RI, USA.
| | - Edmund Arthur
- Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, RI, USA; George and Anne Ryan Institute for Neuroscience, University of Rhode Island, Kingston, RI, USA; Memory & Aging Program, Butler Hospital, Providence, RI, USA
| | | | - Jonathan Drake
- Department of Neurology, Rhode Island Hospital, Providence, RI, USA; Department of Neurology, Alpert Medical School of Brown University, Providence, RI, USA
| | - Jerrold L Boxerman
- Department of Neurology, Alpert Medical School of Brown University, Providence, RI, USA; Department of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, USA
| | - Brian Silver
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Brian R Ott
- Department of Neurology, Rhode Island Hospital, Providence, RI, USA; Department of Neurology, Alpert Medical School of Brown University, Providence, RI, USA
| | - Lenworth N Johnson
- Department of Surgery (Ophthalmology), Alpert Medical School of Brown University, Providence, RI, USA
| | - Peter J Snyder
- Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, RI, USA; George and Anne Ryan Institute for Neuroscience, University of Rhode Island, Kingston, RI, USA; Department of Neurology, Alpert Medical School of Brown University, Providence, RI, USA; Department of Surgery (Ophthalmology), Alpert Medical School of Brown University, Providence, RI, USA
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Schoemaker D, Charidimou A, Zanon Zotin MC, Raposo N, Johnson KA, Sanchez JS, Greenberg SM, Viswanathan A. Association of Memory Impairment With Concomitant Tau Pathology in Patients With Cerebral Amyloid Angiopathy. Neurology 2021; 96:e1975-e1986. [PMID: 33627498 DOI: 10.1212/wnl.0000000000011745] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 01/13/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Relying on tau-PET imaging, this cross-sectional study explored whether memory impairment is linked to the presence of concomitant tau pathology in individuals with cerebral amyloid angiopathy (CAA). METHODS Forty-six patients with probable CAA underwent a neuropsychological examination and an MRI for quantification of structural markers of cerebral small vessel disease. A subset of these participants also completed a [11C]-Pittsburgh compound B (n = 39) and [18F]-flortaucipir (n = 40) PET for in vivo estimation of amyloid and tau burden, respectively. Participants were classified as amnestic or nonamnestic on the basis of neuropsychological performance. Statistical analyses were performed to examine differences in cognition, structural markers of cerebral small vessel disease, and amyloid- and tau-PET retention between participants with amnestic and those with nonamnestic CAA. RESULTS Patients with probable CAA with an amnestic presentation displayed a globally more severe profile of cognitive impairment, smaller hippocampal volume (p < 0.001), and increased tau-PET binding in regions susceptible to Alzheimer disease neurodegeneration (p = 0.003) compared to their nonamnestic counterparts. Amnestic and nonamnestic patients with CAA did not differ on any other MRI markers or on amyloid-PET binding. In a generalized linear model including all evaluated neuroimaging markers, tau-PET retention (β = -0.85, p = 0.001) and hippocampal volume (β = 0.64 p = 0.01) were the only significant predictors of memory performance. The cognitive profile of patients with CAA with an elevated tau-PET retention was distinctly characterized by a significantly lower performance on the memory domain (p = 0.004). CONCLUSIONS These results suggest that the presence of objective memory impairment in patients with probable CAA could serve as a marker for underlying tau pathology. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that tau-PET retention is related to the presence of objective memory impairment in patients with CAA.
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Affiliation(s)
- Dorothee Schoemaker
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston.
| | - Andreas Charidimou
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston
| | - Maria Clara Zanon Zotin
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston
| | - Nicolas Raposo
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston
| | - Keith A Johnson
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston
| | - Justin S Sanchez
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston
| | - Steven M Greenberg
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston
| | - Anand Viswanathan
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston
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Puy L, Pasi M, Rodrigues M, van Veluw SJ, Tsivgoulis G, Shoamanesh A, Cordonnier C. Cerebral microbleeds: from depiction to interpretation. J Neurol Neurosurg Psychiatry 2021; 92:jnnp-2020-323951. [PMID: 33563804 DOI: 10.1136/jnnp-2020-323951] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/22/2020] [Accepted: 01/04/2021] [Indexed: 11/04/2022]
Abstract
Cerebral microbleeds (CMBs) are defined as hypointense foci visible on T2*-weighted and susceptible-weighted MRI sequences. CMBs are increasingly recognised with the widespread use of MRI in healthy individuals as well as in the context of cerebrovascular disease or dementia. They can also be encountered in major critical medical conditions such as in patients requiring extracorporeal mechanical oxygenation. The advent of MRI-guided postmortem neuropathological examinations confirmed that, in the context of cerebrovascular disease, the vast majority of CMBs correspond to recent or old microhaemorrhages. Detection of CMBs is highly influenced by MRI parameters, in particular field strength, postprocessing methods used to enhance T2* contrast and three dimensional sequences. Despite recent progress, harmonising imaging parameters across research studies remains necessary to improve cross-study comparisons. CMBs are helpful markers to identify the nature and the severity of the underlying chronic small vessel disease. In daily clinical practice, presence and numbers of CMBs often trigger uncertainty for clinicians especially when antithrombotic treatments and acute reperfusion therapies are discussed. In the present review, we discuss those clinical dilemmas and address the value of CMBs as diagnostic and prognostic markers for future vascular events.
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Affiliation(s)
- Laurent Puy
- Department of Neurology, U1172 - LilNCog - Lille Neuroscience & Cognition, Univ. Lille, Inserm, CHU Lille, F-59000 Lille, France
| | - Marco Pasi
- Department of Neurology, U1172 - LilNCog - Lille Neuroscience & Cognition, Univ. Lille, Inserm, CHU Lille, F-59000 Lille, France
| | - Mark Rodrigues
- Centre for Clinical Brain Sciences, The University of Edinburgh College of Medicine and Veterinary Medicine, Edinburgh, Midlothian, UK
| | - Susanne J van Veluw
- Neurology Department, Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Georgios Tsivgoulis
- Second Department of Neurology, "Attikon" University Hospital, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
| | - Ashkan Shoamanesh
- Department of Medicine (Neurology), McMaster University and Population Health Research Institute, Hamilton, Ontario, Canada
| | - Charlotte Cordonnier
- Department of Neurology, U1172 - LilNCog - Lille Neuroscience & Cognition, Univ. Lille, Inserm, CHU Lille, F-59000 Lille, France
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Abstract
Hemorrhagic stroke comprises about 20% of all strokes, with intracerebral hemorrhage (ICH) being the most common type. Frequency of ICH is increased where hypertension is untreated. ICH in particularly has a disproportionately high risk of early mortality and long-term disability. Until recently, there has been a paucity of randomized controlled trials (RCTs) to provide evidence for the efficacy of various commonly considered interventions in ICH, including acute blood pressure management, coagulopathy reversal, and surgical hematoma evacuation. Evidence-based guidelines do exist for ICH and these form the basis for a framework of care. Current approaches emphasize control of extremely high blood pressure in the acute phase, rapid reversal of vitamin K antagonists, and surgical evacuation of cerebellar hemorrhage. Lingering questions, many of which are the topic of ongoing clinical research, include optimizing individual blood pressure targets, reversal strategies for newer anticoagulant medications, and the role of minimally invasive surgery. Risk stratification models exist, which derive from findings on clinical exam and neuroimaging, but care should be taken to avoid a self-fulfilling prophecy of poor outcome from limiting treatment due to a presumed poor prognosis. Cerebral venous thrombosis is an additional subtype of hemorrhagic stroke that has a unique set of causes, natural history, and treatment and is discussed as well.
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Affiliation(s)
- Arturo Montaño
- Departments of Neurology and Neurosurgery, University of Colorado, Aurora, CO, United States
| | - Daniel F Hanley
- Departments of Neurology and Neurosurgery, Johns Hopkins Medical Institutions, Baltimore, MD, United States
| | - J Claude Hemphill
- Departments of Neurology and Neurosurgery, University of California San Francisco, San Francisco, CA, United States.
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Graff-Radford J, Lesnick TG, Mielke MM, Constantopoulos E, Rabinstein A, Przybelski SA, Vemuri P, Botha H, Jones DT, Ramanan VK, Petersen RC, Knopman DS, Boeve BF, Murray ME, Dickson DW, Jack CR, Kantarci K, Reichard RR. Cerebral Amyloid Angiopathy Burden and Cerebral Microbleeds: Pathological Evidence for Distinct Phenotypes. J Alzheimers Dis 2021; 81:113-122. [PMID: 33720897 PMCID: PMC8113155 DOI: 10.3233/jad-201536] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The relationship between cerebral microbleeds (CMBs) on hemosiderin-sensitive MRI sequences and cerebral amyloid angiopathy (CAA) remains unclear in population-based participants or in individuals with dementia. OBJECTIVE To determine whether CMBs on antemortem MRI correlate with CAA. METHODS We reviewed 54 consecutive participants with antemortem T2*GRE-MRI sequences and subsequent autopsy. CMBs were quantified on MRIs closest to death. Autopsy CAA burden was quantified in each region including leptomeningeal/cortical and capillary CAA. By a clustering approach, we examined the relationship among CAA variables and performed principal component analysis (PCA) for dimension reduction to produce two scores from these 15 interrelated predictors. Hurdle models assessed relationships between principal components and lobar CMBs. RESULTS MRI-based CMBs appeared in 20/54 (37%). 10 participants had ≥2 lobar-only CMBs. The first two components of the PCA analysis of the CAA variables explained 74% variability. The first rotated component (RPC1) consisted of leptomeningeal and cortical CAA and the second rotated component of capillary CAA (RPC2). Both the leptomeningeal and cortical component and the capillary component correlated with lobar-only CMBs. The capillary CAA component outperformed the leptomeningeal and cortical CAA component in predicting lobar CMBs. Both capillary and the leptomeningeal/cortical components correlated with number of lobar CMBs. CONCLUSION Capillary and leptomeningeal/cortical scores correlated with lobar CMBs on MRI but lobar CMBs were more closely associated with the capillary component. The capillary component correlated with APOEɛ4, highlighting lobar CMBs as one aspect of CAA phenotypic diversity. More CMBs also increase the probability of underlying CAA.
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Affiliation(s)
| | | | - Michelle M. Mielke
- Department of Neurology, Mayo Clinic, Rochester, Minnesota
- Department of Health Sciences Research
| | | | | | | | | | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, Minnesota
| | - David T. Jones
- Department of Neurology, Mayo Clinic, Rochester, Minnesota
| | | | | | | | | | - Melissa E. Murray
- Department of Pathology and Laboratory Medicine, Mayo Clinic, Jacksonville, Florida
| | - Dennis W. Dickson
- Department of Pathology and Laboratory Medicine, Mayo Clinic, Jacksonville, Florida
| | | | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | - R. Ross Reichard
- Department of Pathology and Laboratory Medicine, Mayo Clinic, Rochester, Minnesota
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Jung YH, Jang H, Park SB, Choe YS, Park Y, Kang SH, Lee JM, Kim JS, Kim J, Kim JP, Kim HJ, Na DL, Seo SW. Strictly Lobar Microbleeds Reflect Amyloid Angiopathy Regardless of Cerebral and Cerebellar Compartments. Stroke 2020; 51:3600-3607. [PMID: 33198580 DOI: 10.1161/strokeaha.119.028487] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND AND PURPOSE We aimed to determine whether lobar cerebellar microbleeds or concomitant lobar cerebellar and deep microbleeds, in the presence of lobar cerebral microbleeds, attribute to underlying advanced cerebral amyloid angiopathy pathology or hypertensive arteriopathy. METHODS We categorized 71 patients with suspected cerebral amyloid angiopathy markers (regardless of the presence of deep and cerebellar microbleeds) into 4 groups according to microbleed distribution: L (strictly lobar cerebral, n=33), L/LCbll (strictly lobar cerebral and strictly lobar cerebellar microbleeds, n=13), L/Cbll/D (lobar, cerebellar, and deep microbleeds, n=17), and L/D (lobar and deep, n=8). We additionally categorized patients with cerebellar microbleeds into 2 groups according to dentate nucleus involvement: strictly lobar cerebellar (n=16) and dentate (n=14). We then compared clinical characteristics, Aβ (amyloid-β) positivity on PET (positron emission tomography), magnetic resonance imaging cerebral amyloid angiopathy markers, and cerebral small vessel disease burden among groups. RESULTS The frequency of Aβ positivity was higher in the L and L/LCbll groups (81.8% and 84.6%) than in the L/Cbll/D and L/D groups (37.5% and 29.4%; P<0.001), while lacune numbers were lower in the L and L/LCbll groups (1.7±3.3 and 1.7±2.6) than in the L/Cbll/D and L/D groups (8.0±10.3 and 13.4±17.7, P=0.001). The L/LCbll group had more lobar cerebral microbleeds than the L group (93.2±121.8 versus 38.0±40.8, P=0.047). The lobar cerebellar group had a higher Aβ positivity (75% versus 28.6%, P=0.011) and lower lacune number (2.3±3.7 versus 8.6±1.2, P=0.041) than the dentate group. CONCLUSIONS Strictly lobar cerebral and cerebellar microbleeds are related to cerebral amyloid angiopathy, whereas any combination of concurrent lobar and deep microbleeds suggest hypertensive angiopathy regardless of cerebral or cerebellar compartments.
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Affiliation(s)
- Young Hee Jung
- Department of Neurology, Myongji Hospital, Hanyang University, Goyang, Korea (Y.H.J)
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | - Seong Beom Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | | | | | - Sung Hoon Kang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | - Jong Min Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | - Ji Sun Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | - Jaeho Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | - Jun Pyo Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Stem Cell & Regenerative Medicine Institute, Samsung Medical Center, Seoul, Korea (D.L.N.)
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea (S.W.S.).,Department of Health Science and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea (S.W.S.)
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Jung YH, Lee H, Kim HJ, Na DL, Han HJ, Jang H, Seo SW. Prediction of amyloid β PET positivity using machine learning in patients with suspected cerebral amyloid angiopathy markers. Sci Rep 2020; 10:18806. [PMID: 33139780 PMCID: PMC7608617 DOI: 10.1038/s41598-020-75664-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 10/13/2020] [Indexed: 12/31/2022] Open
Abstract
Amyloid-β(Aβ) PET positivity in patients with suspected cerebral amyloid angiopathy (CAA) MRI markers is predictive of a worse cognitive trajectory, and it provides insights into the underlying vascular pathology (CAA vs. hypertensive angiopathy) to facilitate prognostic prediction and appropriate treatment decisions. In this study, we applied two interpretable machine learning algorithms, gradient boosting machine (GBM) and random forest (RF), to predict Aβ PET positivity in patients with CAA MRI markers. In the GBM algorithm, the number of lobar cerebral microbleeds (CMBs), deep CMBs, lacunes, CMBs in dentate nuclei, and age were ranked as the most influential to predict Aβ positivity. In the RF algorithm, the absence of diabetes was additionally chosen. Cut-off values of the above variables predictive of Aβ positivity were as follows: (1) the number of lobar CMBs > 16.4(GBM)/14.3(RF), (2) no deep CMBs(GBM/RF), (3) the number of lacunes > 7.4(GBM/RF), (4) age > 74.3(GBM)/64(RF), (5) no CMBs in dentate nucleus(GBM/RF). The classification performances based on the area under the receiver operating characteristic curve were 0.83 in GBM and 0.80 in RF. Our study demonstrates the utility of interpretable machine learning in the clinical setting by quantifying the relative importance and cutoff values of predictive variables for Aβ positivity in patients with suspected CAA markers.
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Affiliation(s)
- Young Hee Jung
- Department of Neurology, College of Medicine, Myoungji Hospital, Hanyang University, Goyang, Republic of Korea
- Department of Neurology, Sungkyunkwan University of School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Hyejoo Lee
- Department of Neurology, Sungkyunkwan University of School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea
- Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Hee Jin Kim
- Department of Neurology, Sungkyunkwan University of School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea
- Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Duk L Na
- Department of Neurology, Sungkyunkwan University of School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea
- Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
- Department of Health Science and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
- Stem Cell and Regenerative Medicine Institute, Samsung Medical Center, Seoul, Republic of Korea
| | - Hyun Jeong Han
- Department of Neurology, College of Medicine, Myoungji Hospital, Hanyang University, Goyang, Republic of Korea
| | - Hyemin Jang
- Department of Neurology, Sungkyunkwan University of School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
- Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea.
- Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
| | - Sang Won Seo
- Department of Neurology, Sungkyunkwan University of School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
- Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea.
- Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea.
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43
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Yakushiji Y. [Trends and challenges in clinical research on cerebral small vessel disease, with a particular emphasis on type-1 small vessel disease]. Rinsho Shinkeigaku 2020; 60:743-751. [PMID: 33115998 DOI: 10.5692/clinicalneurol.cn-001488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Cerebral small vessel disease (SVD) is defined as difficulty maintaining efficient microcirculation, metabolism, and neural networks caused by degeneration of small vessels of the brain, as well as cognitive or physical dysfunction caused by this difficulty. The most common SVD (i.e., type 1 SVD), which is driven by hypertensive arteriopathy, appears to be more prevalent in people with East Asian ethnicity than in Whites. Recent attention has been paid to a SVD scoring system using major MRI markers of SVD in an attempt to comprehensively semi-quantify the SVD burden in the brain. This concept raised a new question: "Is there a practical threshold for the comprehensive SVD score?" The development of computational methods to assess SVD imaging markers could answer this question, and may help identify the optimal intervention for patients with type 1 SVD to prevent stroke and dementia.
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44
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Traumatic Microbleeds in the Hippocampus and Corpus Callosum Predict Duration of Posttraumatic Amnesia. J Head Trauma Rehabil 2020; 34:E10-E18. [PMID: 31033742 DOI: 10.1097/htr.0000000000000479] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
OBJECTIVE Radiologic predictors of posttraumatic amnesia (PTA) duration are lacking. We hypothesized that the number and distribution of traumatic microbleeds (TMBs) detected by gradient recalled echo (GRE) magnetic resonance imaging (MRI) predicts PTA duration. SETTING Academic, tertiary medical center. PARTICIPANTS Adults with traumatic brain injury (TBI). DESIGN We identified 65 TBI patients with acute GRE MRI. PTA duration was determined with the Galveston Orientation and Amnesia Test, Orientation Log, or chart review. TMBs were identified within memory regions (hippocampus, corpus callosum, fornix, thalamus, and temporal lobe) and control regions (internal capsule and global). Regression tree analysis was performed to identify radiologic predictors of PTA duration, controlling for clinical PTA predictors. MAIN MEASURES TMB distribution, PTA duration. RESULTS Sixteen patients (25%) had complicated mild, 4 (6%) had moderate, and 45 (69%) had severe TBI. Median PTA duration was 43 days (range, 0-240 days). In univariate analysis, PTA duration correlated with TMBs in the corpus callosum (R = 0.29, P = .02) and admission Glasgow Coma Scale (GCS) score (R = -0.34, P = .01). In multivariate regression analysis, admission GCS score was the only significant contributor to PTA duration. However, in regression tree analysis, hippocampal TMBs, callosal TMBs, age, and admission GCS score explained 26% of PTA duration variance and distinguished a subgroup with prolonged PTA. CONCLUSIONS Hippocampal and callosal TMBs are potential radiologic predictors of PTA duration.
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45
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Ramirez J, Holmes MF, Scott CJM, Ozzoude M, Adamo S, Szilagyi GM, Goubran M, Gao F, Arnott SR, Lawrence-Dewar JM, Beaton D, Strother SC, Munoz DP, Masellis M, Swartz RH, Bartha R, Symons S, Black SE. Ontario Neurodegenerative Disease Research Initiative (ONDRI): Structural MRI Methods and Outcome Measures. Front Neurol 2020; 11:847. [PMID: 32849254 PMCID: PMC7431907 DOI: 10.3389/fneur.2020.00847] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 07/07/2020] [Indexed: 01/18/2023] Open
Abstract
The Ontario Neurodegenerative Research Initiative (ONDRI) is a 3 years multi-site prospective cohort study that has acquired comprehensive multiple assessment platform data, including 3T structural MRI, from neurodegenerative patients with Alzheimer's disease, mild cognitive impairment, Parkinson's disease, amyotrophic lateral sclerosis, frontotemporal dementia, and cerebrovascular disease. This heterogeneous cross-section of patients with complex neurodegenerative and neurovascular pathologies pose significant challenges for standard neuroimaging tools. To effectively quantify regional measures of normal and pathological brain tissue volumes, the ONDRI neuroimaging platform implemented a semi-automated MRI processing pipeline that was able to address many of the challenges resulting from this heterogeneity. The purpose of this paper is to serve as a reference and conceptual overview of the comprehensive neuroimaging pipeline used to generate regional brain tissue volumes and neurovascular marker data that will be made publicly available online.
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Affiliation(s)
- Joel Ramirez
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Melissa F Holmes
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Christopher J M Scott
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Miracle Ozzoude
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Sabrina Adamo
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Gregory M Szilagyi
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Maged Goubran
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Fuqiang Gao
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | | | | | - Derek Beaton
- Rotman Research Institute, Baycrest, Toronto, ON, Canada
| | - Stephen C Strother
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Rotman Research Institute, Baycrest, Toronto, ON, Canada
| | - Douglas P Munoz
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Mario Masellis
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, ON, Canada
| | - Richard H Swartz
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, ON, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada
| | - Sean Symons
- Department of Medical Imaging, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Sandra E Black
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, ON, Canada
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Renard D, Parvu T, Tatu L, Thouvenot E. Subarachnoid extension of lobar hemorrhage on acute/subacute MRI is associated with cerebral amyloid angiopathy criteria. Acta Neurol Belg 2020; 120:863-866. [PMID: 30539379 DOI: 10.1007/s13760-018-01060-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Accepted: 12/07/2018] [Indexed: 11/28/2022]
Abstract
Subarachnoid hemorrhage extension (SAHE) in the acute phase of cerebral amyloid angiopathy (CAA)-related lobar hemorrhage (LH) assessed by CT is very frequent. Recently, SAHE, together with finger-like projections on CT and ApoE4, has been used in a prediction model for histopathologically proven CAA showing excellent discrimination. Our aim was to analyze SAHE on MRI in the acute and subacute phase of LH in patients with and without associated hemorrhagic features supportive of CAA (i.e. chronic LH, cortical superficial siderosis [CSS], and strictly lobar cerebral microbleeds [CMB]). We retrospectively studied SAHE on MRI performed in the acute and subacute phase (within 21 days) in a cohort of consecutive patients with acute LH recruited between January 2012 and April 2018. Sixty-eight acute LH patients (35 men and 33 women, mean age 74 [range 50-89]) were analyzed. Mean delay between symptom onset and MRI was 3.8 days, and 32 patients underwent MRI within 24 h. Based on MRI, 51 patients were classified as probable CAA and 17 patients without probable CAA. Both groups were comparable regarding age, sex, time of MRI performance, MRI field strength, and acute LH volume. Overall, SAHE was observed in 46 (68%) patients, including 39 (76%) patients with probable CAA and 7 (41%) patients without probable CAA (p = 0.015). SAHE presence was also associated with larger LH volumes. During the work-up in the acute/subacute phase of patients with acute LH, in addition to T2*-weighted imaging in search for other hemorrhagic features (chronic LH, CSS, or lobar CMB) evoking probable underlying CAA etiology, search for SAHE on adapted MRI sequences (FLAIR and T2*-weighted imaging) seems to be interesting because of the association with the presence of probable CAA criteria.
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Affiliation(s)
- Dimitri Renard
- Department of Neurology, CHU Nîmes, Hôpital Caremeau, Nîmes University Hospital, 4, Rue du Pr Debré, 30029, Nîmes Cedex 4, France.
| | - Teodora Parvu
- Department of Neurology, CHU Nîmes, Hôpital Caremeau, Nîmes University Hospital, 4, Rue du Pr Debré, 30029, Nîmes Cedex 4, France
| | - Lavinia Tatu
- Department of Neurology, CHU Nîmes, Hôpital Caremeau, Nîmes University Hospital, 4, Rue du Pr Debré, 30029, Nîmes Cedex 4, France
| | - Eric Thouvenot
- Department of Neurology, CHU Nîmes, Hôpital Caremeau, Nîmes University Hospital, 4, Rue du Pr Debré, 30029, Nîmes Cedex 4, France
- Institut de Génomique Fonctionnelle, UMR5203, Université Montpellier, Montpellier, France
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Casolla B, Cordonnier C. Intracerebral haemorrhage, microbleeds and antithrombotic drugs. Rev Neurol (Paris) 2020; 177:11-22. [PMID: 32747048 DOI: 10.1016/j.neurol.2020.05.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 05/04/2020] [Accepted: 05/19/2020] [Indexed: 11/17/2022]
Abstract
Antithrombotic therapy is a cornerstone for secondary prevention of ischaemic events, cerebral and extra-cerebral. A number of clinical questions remain unanswered concerning the impact of antithrombotic drugs on the risk of first-ever and recurrent macro or micro cerebral haemorrhages, raising the clinical dilemma on the risk/benefit balance of giving antiplatelets and anticoagulants in patients with potential high risk of brain bleeds. High field magnetic resonance imaging (MRI) blood-weighted sequences, including susceptibility weighted imaging (SWI), have expanded the spectrum of these clinical questions, because of their increasing sensitivity in detecting radiological markers of small vessel disease. This review will summarise the literature, focusing on four main clinical questions: how do cerebral microbleeds impact the risk of cerebrovascular events in healthy patients, in patients with previous ischaemic stroke or transient ischaemic attack, and in patients with intracerebral haemorrhage? Is the risk/benefit balance of oral anticoagulants shifted by the presence of microbleeds in patients with atrial fibrillation after recent ischaemic stroke or transient ischaemic attack? Should we restart antiplatelet drugs after symptomatic intracerebral haemorrhage or not? Are oral anticoagulants allowed in patients with a history of atrial fibrillation and previous intracerebral haemorrhage?
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Affiliation(s)
- B Casolla
- University of Lille, Inserm, CHU of Lille, U1172-LilNCog-Lille Neuroscience & Cognition, 59000 Lille, France.
| | - C Cordonnier
- University of Lille, Inserm, CHU of Lille, U1172-LilNCog-Lille Neuroscience & Cognition, 59000 Lille, France
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Biffi A, Urday S, Kubiszewski P, Gilkerson L, Sekar P, Rodriguez-Torres A, Bettin M, Charidimou A, Pasi M, Kourkoulis C, Schwab K, DiPucchio Z, Behymer T, Osborne J, Morgan M, Moomaw CJ, James ML, Greenberg SM, Viswanathan A, Gurol ME, Worrall BB, Testai FD, McCauley JL, Falcone GJ, Langefeld CD, Anderson CD, Kamel H, Woo D, Sheth KN, Rosand J. Combining Imaging and Genetics to Predict Recurrence of Anticoagulation-Associated Intracerebral Hemorrhage. Stroke 2020; 51:2153-2160. [PMID: 32517581 DOI: 10.1161/strokeaha.120.028310] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND PURPOSE For survivors of oral anticoagulation therapy (OAT)-associated intracerebral hemorrhage (OAT-ICH) who are at high risk for thromboembolism, the benefits of OAT resumption must be weighed against increased risk of recurrent hemorrhagic stroke. The ε2/ε4 alleles of the apolipoprotein E (APOE) gene, MRI-defined cortical superficial siderosis, and cerebral microbleeds are the most potent risk factors for recurrent ICH. We sought to determine whether combining MRI markers and APOE genotype could have clinical impact by identifying ICH survivors in whom the risks of OAT resumption are highest. METHODS Joint analysis of data from 2 longitudinal cohort studies of OAT-ICH survivors: (1) MGH-ICH study (Massachusetts General Hospital ICH) and (2) longitudinal component of the ERICH study (Ethnic/Racial Variations of Intracerebral Hemorrhage). We evaluated whether MRI markers and APOE genotype predict ICH recurrence. We then developed and validated a combined APOE-MRI classification scheme to predict ICH recurrence, using Classification and Regression Tree analysis. RESULTS Cortical superficial siderosis, cerebral microbleed, and APOE ε2/ε4 variants were independently associated with ICH recurrence after OAT-ICH (all P<0.05). Combining APOE genotype and MRI data resulted in improved prediction of ICH recurrence (Harrell C: 0.79 versus 0.55 for clinical data alone, P=0.033). In the MGH (training) data set, CSS, cerebral microbleed, and APOE ε2/ε4 stratified likelihood of ICH recurrence into high-, medium-, and low-risk categories. In the ERICH (validation) data set, yearly ICH recurrence rates for high-, medium-, and low-risk individuals were 6.6%, 2.5%, and 0.9%, respectively, with overall area under the curve of 0.91 for prediction of recurrent ICH. CONCLUSIONS Combining MRI and APOE genotype stratifies likelihood of ICH recurrence into high, medium, and low risk. If confirmed in prospective studies, this combined APOE-MRI classification scheme may prove useful for selecting individuals for OAT resumption after ICH.
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Affiliation(s)
- Alessandro Biffi
- Department of Neurology (A.B., S.U., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Center for Genomic Medicine (A.B., P.K., C.K., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Hemorrhagic Stroke Research Program (A.B., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A, J.R.), Massachusetts General Hospital, Boston.,Henry and Allison McCance Center for Brain Health (A.B., C.K., C.D.A., J.R.), Massachusetts General Hospital, Boston
| | - Sebastian Urday
- Department of Neurology (A.B., S.U., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A., J.R.), Massachusetts General Hospital, Boston
| | - Patryk Kubiszewski
- Center for Genomic Medicine (A.B., P.K., C.K., C.D.A., J.R.), Massachusetts General Hospital, Boston
| | - Lee Gilkerson
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, OH (L.G., P.S., T.B., J.O., M.M., C.J.M., D.W.)
| | - Padmini Sekar
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, OH (L.G., P.S., T.B., J.O., M.M., C.J.M., D.W.)
| | - Axana Rodriguez-Torres
- Department of Neurology (A.B., S.U., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Hemorrhagic Stroke Research Program (A.B., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A, J.R.), Massachusetts General Hospital, Boston
| | - Margaret Bettin
- Department of Neurology, University of Virginia Health System, Charlottesville (M.B., B.B.W.)
| | - Andreas Charidimou
- Department of Neurology (A.B., S.U., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Hemorrhagic Stroke Research Program (A.B., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A, J.R.), Massachusetts General Hospital, Boston
| | - Marco Pasi
- Department of Neurology (A.B., S.U., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Hemorrhagic Stroke Research Program (A.B., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A, J.R.), Massachusetts General Hospital, Boston
| | - Christina Kourkoulis
- Department of Neurology (A.B., S.U., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Center for Genomic Medicine (A.B., P.K., C.K., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Hemorrhagic Stroke Research Program (A.B., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A, J.R.), Massachusetts General Hospital, Boston.,Henry and Allison McCance Center for Brain Health (A.B., C.K., C.D.A., J.R.), Massachusetts General Hospital, Boston
| | - Kristin Schwab
- Hemorrhagic Stroke Research Program (A.B., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A, J.R.), Massachusetts General Hospital, Boston
| | - Zora DiPucchio
- Department of Neurology (A.B., S.U., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Hemorrhagic Stroke Research Program (A.B., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A, J.R.), Massachusetts General Hospital, Boston
| | - Tyler Behymer
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, OH (L.G., P.S., T.B., J.O., M.M., C.J.M., D.W.)
| | - Jennifer Osborne
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, OH (L.G., P.S., T.B., J.O., M.M., C.J.M., D.W.)
| | - Misty Morgan
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, OH (L.G., P.S., T.B., J.O., M.M., C.J.M., D.W.)
| | - Charles J Moomaw
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, OH (L.G., P.S., T.B., J.O., M.M., C.J.M., D.W.)
| | - Michael L James
- Department of Anesthesiology, Duke University, Durham, NC (M.L.J.)
| | - Steven M Greenberg
- Department of Neurology (A.B., S.U., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Hemorrhagic Stroke Research Program (A.B., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A, J.R.), Massachusetts General Hospital, Boston
| | - Anand Viswanathan
- Department of Neurology (A.B., S.U., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Hemorrhagic Stroke Research Program (A.B., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A, J.R.), Massachusetts General Hospital, Boston
| | - M Edip Gurol
- Department of Neurology (A.B., S.U., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Hemorrhagic Stroke Research Program (A.B., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A, J.R.), Massachusetts General Hospital, Boston
| | - Bradford B Worrall
- Department of Neurology, University of Virginia Health System, Charlottesville (M.B., B.B.W.)
| | - Fernando D Testai
- Department of Neurology and Rehabilitation, University of Illinois at Chicago College of Medicine, Chicago (F.D.T.)
| | - Jacob L McCauley
- Center for Genome Technology and Biorepository Facility, University of Miami, Miller School of Medicine, FL (J.L.M.)
| | - Guido J Falcone
- Department of Neurology, Yale University School of Medicine, New Haven, CT (G.J.F.)
| | - Carl D Langefeld
- Department of Biostatistics and Data Sciences, Wake Forest University, Winston-Salem, NC (C.D.L.)
| | - Christopher D Anderson
- Department of Neurology (A.B., S.U., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Center for Genomic Medicine (A.B., P.K., C.K., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Hemorrhagic Stroke Research Program (A.B., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A, J.R.), Massachusetts General Hospital, Boston.,Henry and Allison McCance Center for Brain Health (A.B., C.K., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge (C.D.A., J.R.)
| | - Hooman Kamel
- Department of Neurology, Weill Cornell School of Medicine, New York, NY (H.K.)
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, OH (L.G., P.S., T.B., J.O., M.M., C.J.M., D.W.)
| | | | - Jonathan Rosand
- Department of Neurology (A.B., S.U., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Center for Genomic Medicine (A.B., P.K., C.K., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Hemorrhagic Stroke Research Program (A.B., A.R.-T., A.C., M.P., C.K., K.S., Z.D., S.M.G., A.V., M.E.G., C.D.A, J.R.), Massachusetts General Hospital, Boston.,Henry and Allison McCance Center for Brain Health (A.B., C.K., C.D.A., J.R.), Massachusetts General Hospital, Boston.,Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge (C.D.A., J.R.)
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49
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Gatti L, Tinelli F, Scelzo E, Arioli F, Di Fede G, Obici L, Pantoni L, Giaccone G, Caroppo P, Parati EA, Bersano A. Understanding the Pathophysiology of Cerebral Amyloid Angiopathy. Int J Mol Sci 2020; 21:ijms21103435. [PMID: 32414028 PMCID: PMC7279405 DOI: 10.3390/ijms21103435] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 05/04/2020] [Accepted: 05/08/2020] [Indexed: 12/12/2022] Open
Abstract
Cerebral amyloid angiopathy (CAA), one of the main types of cerebral small vessel disease, is a major cause of spontaneous intracerebral haemorrhage and an important contributor to cognitive decline in elderly patients. Despite the number of experimental in vitro studies and animal models, the pathophysiology of CAA is still largely unknown. Although several pathogenic mechanisms including an unbalance between production and clearance of amyloid beta (Aβ) protein as well as ‘the prion hypothesis’ have been invoked as possible disease triggers, they do not explain completely the disease pathogenesis. This incomplete disease knowledge limits the implementation of treatments able to prevent or halt the clinical progression. The continuous increase of CAA patients makes imperative the development of suitable experimental in vitro or animal models to identify disease biomarkers and new pharmacological treatments that could be administered in the early disease stages to prevent irreversible changes and disease progression.
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Affiliation(s)
- Laura Gatti
- Neurobiology Laboratory, Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (L.G.); (F.T.); (F.A.)
| | - Francesca Tinelli
- Neurobiology Laboratory, Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (L.G.); (F.T.); (F.A.)
| | - Emma Scelzo
- Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (E.S.); (E.A.P.)
| | - Francesco Arioli
- Neurobiology Laboratory, Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (L.G.); (F.T.); (F.A.)
| | - Giuseppe Di Fede
- Unit of Neurology 5 and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (G.D.F.); (G.G.); (P.C.)
| | - Laura Obici
- Amyloidosis Research and Treatment Centre, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy;
| | - Leonardo Pantoni
- “Luigi Sacco” Department of Biomedical and Clinical Sciences, University of Milan, 20157 Milan, Italy;
| | - Giorgio Giaccone
- Unit of Neurology 5 and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (G.D.F.); (G.G.); (P.C.)
| | - Paola Caroppo
- Unit of Neurology 5 and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (G.D.F.); (G.G.); (P.C.)
| | - Eugenio Agostino Parati
- Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (E.S.); (E.A.P.)
| | - Anna Bersano
- Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (E.S.); (E.A.P.)
- Correspondence: ; Tel.: +39-0223943310
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50
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Affiliation(s)
- Marco Pasi
- From the Department of Neurology, Univervité de Lille, Inserm U1171, Degenerative and Vascular Cognitive Disorders, CHU Lille, France
| | - Charlotte Cordonnier
- From the Department of Neurology, Univervité de Lille, Inserm U1171, Degenerative and Vascular Cognitive Disorders, CHU Lille, France
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