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Bernal J, Schreiber S, Menze I, Ostendorf A, Pfister M, Geisendörfer J, Nemali A, Maass A, Yakupov R, Peters O, Preis L, Schneider L, Herrera AL, Priller J, Spruth EJ, Altenstein S, Schneider A, Fliessbach K, Wiltfang J, Schott BH, Rostamzadeh A, Glanz W, Buerger K, Janowitz D, Ewers M, Perneczky R, Rauchmann BS, Teipel S, Kilimann I, Laske C, Munk MH, Spottke A, Roy N, Dobisch L, Dechent P, Scheffler K, Hetzer S, Wolfsgruber S, Kleineidam L, Schmid M, Berger M, Jessen F, Wirth M, Düzel E, Ziegler G. Arterial hypertension and β-amyloid accumulation have spatially overlapping effects on posterior white matter hyperintensity volume: a cross-sectional study. Alzheimers Res Ther 2023; 15:97. [PMID: 37226207 PMCID: PMC10207740 DOI: 10.1186/s13195-023-01243-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 05/09/2023] [Indexed: 05/26/2023]
Abstract
BACKGROUND White matter hyperintensities (WMH) in subjects across the Alzheimer's disease (AD) spectrum with minimal vascular pathology suggests that amyloid pathology-not just arterial hypertension-impacts WMH, which in turn adversely influences cognition. Here we seek to determine the effect of both hypertension and Aβ positivity on WMH, and their impact on cognition. METHODS We analysed data from subjects with a low vascular profile and normal cognition (NC), subjective cognitive decline (SCD), and amnestic mild cognitive impairment (MCI) enrolled in the ongoing observational multicentre DZNE Longitudinal Cognitive Impairment and Dementia Study (n = 375, median age 70.0 [IQR 66.0, 74.4] years; 178 female; NC/SCD/MCI 127/162/86). All subjects underwent a rich neuropsychological assessment. We focused on baseline memory and executive function-derived from multiple neuropsychological tests using confirmatory factor analysis-, baseline preclinical Alzheimer's cognitive composite 5 (PACC5) scores, and changes in PACC5 scores over the course of three years (ΔPACC5). RESULTS Subjects with hypertension or Aβ positivity presented the largest WMH volumes (pFDR < 0.05), with spatial overlap in the frontal (hypertension: 0.42 ± 0.17; Aβ: 0.46 ± 0.18), occipital (hypertension: 0.50 ± 0.16; Aβ: 0.50 ± 0.16), parietal lobes (hypertension: 0.57 ± 0.18; Aβ: 0.56 ± 0.20), corona radiata (hypertension: 0.45 ± 0.17; Aβ: 0.40 ± 0.13), optic radiation (hypertension: 0.39 ± 0.18; Aβ: 0.74 ± 0.19), and splenium of the corpus callosum (hypertension: 0.36 ± 0.12; Aβ: 0.28 ± 0.12). Elevated global and regional WMH volumes coincided with worse cognitive performance at baseline and over 3 years (pFDR < 0.05). Aβ positivity was negatively associated with cognitive performance (direct effect-memory: - 0.33 ± 0.08, pFDR < 0.001; executive: - 0.21 ± 0.08, pFDR < 0.001; PACC5: - 0.29 ± 0.09, pFDR = 0.006; ΔPACC5: - 0.34 ± 0.04, pFDR < 0.05). Splenial WMH mediated the relationship between hypertension and cognitive performance (indirect-only effect-memory: - 0.05 ± 0.02, pFDR = 0.029; executive: - 0.04 ± 0.02, pFDR = 0.067; PACC5: - 0.05 ± 0.02, pFDR = 0.030; ΔPACC5: - 0.09 ± 0.03, pFDR = 0.043) and WMH in the optic radiation partially mediated that between Aβ positivity and memory (indirect effect-memory: - 0.05 ± 0.02, pFDR = 0.029). CONCLUSIONS Posterior white matter is susceptible to hypertension and Aβ accumulation. Posterior WMH mediate the association between these pathologies and cognitive dysfunction, making them a promising target to tackle the downstream damage related to the potentially interacting and potentiating effects of the two pathologies. TRIAL REGISTRATION German Clinical Trials Register (DRKS00007966, 04/05/2015).
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Affiliation(s)
- Jose Bernal
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany.
| | - Stefanie Schreiber
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
- Department of Neurology, Medical Faculty, University Hospital Magdeburg, Magdeburg, Germany
| | - Inga Menze
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Anna Ostendorf
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany
| | - Malte Pfister
- Department of Neurology, Medical Faculty, University Hospital Magdeburg, Magdeburg, Germany
| | - Jonas Geisendörfer
- Department of Neurology, Medical Faculty, University Hospital Magdeburg, Magdeburg, Germany
| | - Aditya Nemali
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Anne Maass
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Renat Yakupov
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Lukas Preis
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Luisa Schneider
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Ana Lucia Herrera
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
- School of Medicine, Department of Psychiatry and Psychotherapy, Technical University of Munich, Munich, Germany
- University of Edinburgh and UK DRI, Edinburgh, UK
| | - Eike Jakob Spruth
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Slawek Altenstein
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Clinic for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Clinic for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Björn H Schott
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany
| | - Ayda Rostamzadeh
- Department of Psychiatry, University of Cologne, Cologne, Germany
| | - Wenzel Glanz
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany
- Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, UK
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Matthias H Munk
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Clinic for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Nina Roy
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Peter Dechent
- MR-Research in Neurosciences, Department of Cognitive Neurology, Georg-August-University Goettingen, Göttingen, Germany
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
| | - Stefan Hetzer
- Berlin Center for Advanced Neuroimaging, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Clinic for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Luca Kleineidam
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Clinic for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Matthias Schmid
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Moritz Berger
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Psychiatry, University of Cologne, Cologne, Germany
- Excellence Cluster On Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Miranka Wirth
- German Center for Neurodegenerative Diseases (DZNE), Tatzberg 41, Dresden, 01307, Germany.
| | - Emrah Düzel
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Gabriel Ziegler
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
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Nagaraja N, DeKosky S, Duara R, Kong L, Wang WE, Vaillancourt D, Albayram M. Imaging features of small vessel disease in cerebral amyloid angiopathy among patients with Alzheimer's disease. Neuroimage Clin 2023; 38:103437. [PMID: 37245492 PMCID: PMC10236212 DOI: 10.1016/j.nicl.2023.103437] [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: 09/06/2022] [Revised: 05/07/2023] [Accepted: 05/14/2023] [Indexed: 05/30/2023]
Abstract
BACKGROUND AND PURPOSE Cerebral small vessel disease biomarkers including white matter hyperintensities (WMH), lacunes, and enlarged perivascular spaces (ePVS) are under investigation to identify those specific to cerebral amyloid angiopathy (CAA). In subjects with Alzheimer's disease (AD), we assessed characteristic features and amounts of WMH, lacunes, and ePVS in four CAA categories (no, mild, moderate and severe CAA) and correlated these with Clinical Dementia Rating sum of boxes (CDRsb) score, ApoE genotype, and neuropathological changes at autopsy. METHODS The study included patients with a clinical diagnosis of dementia due to AD and neuropathological confirmation of AD and CAA in the National Alzheimer's Coordinating Center (NACC) database. The WMH, lacunes, and ePVS were evaluated using semi-quantitative scales. Statistical analyses compared the WMH, lacunes, and ePVS values in the four CAA groups with vascular risk factors and AD severity treated as covariates, and to correlate the imaging features with CDRsb score, ApoE genotype, and neuropathological findings. RESULTS The study consisted of 232 patients, of which 222 patients had FLAIR data available and 105 patients had T2-MRI. Occipital predominant WMH were significantly associated with the presence of CAA (p = 0.007). Among the CAA groups, occipital predominant WMH was associated with severe CAA (β = 1.22, p = 0.0001) compared with no CAA. Occipital predominant WMH were not associated with the CDRsb score performed at baseline (p = 0.68) or at follow-up 2-4 years after the MRI (p = 0.92). There was no significant difference in high grade ePVS in the basal ganglia (p = 0.63) and centrum semiovale (p = 0.95) among the four CAA groups. The WMH and ePVS on imaging did not correlate with the number of ApoE ε4 alleles but the WMH (periventricular and deep) correlated with the presence of infarcts, lacunes and microinfarcts on neuropathology. CONCLUSION Among patients with AD, occipital predominant WMH is more likely to be found in patients with severe CAA than in those without CAA. The high-grade ePVS in centrum semiovale were common in all AD patients regardless of CAA severity.
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Affiliation(s)
- Nandakumar Nagaraja
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA.
| | - Steven DeKosky
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA; McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Ranjan Duara
- Department of Neurology, Mount Sinai Medical Center, Miami Beach, FL, USA
| | - Lan Kong
- Department of Public Health Sciences, Penn State University College of Medicine, Hershey, PA, USA
| | - Wei-En Wang
- Laboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - David Vaillancourt
- Laboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA; Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Mehmet Albayram
- Department of Radiology, College of Medicine, University of Florida, Gainesville, FL, USA
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Botz J, Lohner V, Schirmer MD. Spatial patterns of white matter hyperintensities: a systematic review. Front Aging Neurosci 2023; 15:1165324. [PMID: 37251801 PMCID: PMC10214839 DOI: 10.3389/fnagi.2023.1165324] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 04/24/2023] [Indexed: 05/31/2023] Open
Abstract
Background White matter hyperintensities are an important marker of cerebral small vessel disease. This disease burden is commonly described as hyperintense areas in the cerebral white matter, as seen on T2-weighted fluid attenuated inversion recovery magnetic resonance imaging data. Studies have demonstrated associations with various cognitive impairments, neurological diseases, and neuropathologies, as well as clinical and risk factors, such as age, sex, and hypertension. Due to their heterogeneous appearance in location and size, studies have started to investigate spatial distributions and patterns, beyond summarizing this cerebrovascular disease burden in a single metric-its volume. Here, we review the evidence of association of white matter hyperintensity spatial patterns with its risk factors and clinical diagnoses. Design/methods We performed a systematic review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) Statement. We used the standards for reporting vascular changes on neuroimaging criteria to construct a search string for literature search on PubMed. Studies written in English from the earliest records available until January 31st, 2023, were eligible for inclusion if they reported on spatial patterns of white matter hyperintensities of presumed vascular origin. Results A total of 380 studies were identified by the initial literature search, of which 41 studies satisfied the inclusion criteria. These studies included cohorts based on mild cognitive impairment (15/41), Alzheimer's disease (14/41), Dementia (5/41), Parkinson's disease (3/41), and subjective cognitive decline (2/41). Additionally, 6 of 41 studies investigated cognitively normal, older cohorts, two of which were population-based, or other clinical findings such as acute ischemic stroke or reduced cardiac output. Cohorts ranged from 32 to 882 patients/participants [median cohort size 191.5 and 51.6% female (range: 17.9-81.3%)]. The studies included in this review have identified spatial heterogeneity of WMHs with various impairments, diseases, and pathologies as well as with sex and (cerebro)vascular risk factors. Conclusion The results show that studying white matter hyperintensities on a more granular level might give a deeper understanding of the underlying neuropathology and their effects. This motivates further studies examining the spatial patterns of white matter hyperintensities.
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Affiliation(s)
- Jonas Botz
- Computational Neuroradiology, Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
- Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin, Germany
| | - Valerie Lohner
- Cardiovascular Epidemiology of Aging, Department of Cardiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Markus D. Schirmer
- Computational Neuroradiology, Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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Horn MJ, Gokcal E, Becker JA, Das AS, Schwab K, Zanon Zotin MC, Goldstein JN, Rosand J, Viswanathan A, Polimeni JR, Duering M, Greenberg SM, Gurol ME. Peak width of skeletonized mean diffusivity and cognitive performance in cerebral amyloid angiopathy. Front Neurosci 2023; 17:1141007. [PMID: 37077322 PMCID: PMC10106761 DOI: 10.3389/fnins.2023.1141007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 03/20/2023] [Indexed: 04/05/2023] Open
Abstract
Background Cerebral Amyloid Angiopathy (CAA) is a cerebral small vessel disease that can lead to microstructural disruption of white matter (WM), which can be measured by the Peak Width of Skeletonized Mean Diffusivity (PSMD). We hypothesized that PSMD measures would be increased in patients with CAA compared to healthy controls (HC), and increased PSMD is associated with lower cognitive scores in patients with CAA. Methods Eighty-one probable CAA patients without cognitive impairment who were diagnosed with Boston criteria and 23 HCs were included. All subjects underwent an advanced brain MRI with high-resolution diffusion-weighted imaging (DWI). PSMD scores were quantified from a probabilistic skeleton of the WM tracts in the mean diffusivity (MD) image using a combination of fractional anisotropy (FA) and the FSL Tract-Based Spatial Statistics (TBSS) algorithm (www.psmd-marker.com). Within CAA cohort, standardized z-scores of processing speed, executive functioning and memory were obtained. Results The mean of age and sex were similar between CAA patients (69.6 ± 7.3, 59.3% male) and HCs (70.6 ± 8.5, 56.5% male) (p = 0.581 and p = 0.814). PSMD was higher in the CAA group [(4.13 ± 0.94) × 10-4 mm2/s] compared to HCs [(3.28 ± 0.51) × 10-4 mm2/s] (p < 0.001). In a linear regression model corrected for relevant variables, diagnosis of CAA was independently associated with increased PSMD compared to HCs (ß = 0.45, 95% CI 0.13-0.76, p = 0.006). Within CAA cohort, higher PSMD was associated with lower scores in processing speed (p < 0.001), executive functioning (p = 0.004), and memory (0.047). Finally, PSMD outperformed all other MRI markers of CAA by explaining most of the variance in models predicting lower scores in each cognitive domain. Discussion Peak Width of Skeletonized Mean Diffusivity is increased in CAA, and it is associated with worse cognitive scores supporting the view that disruption of white matter has a significant role in cognitive impairment in CAA. As a robust marker, PSMD can be used in clinical trials or practice.
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Affiliation(s)
- Mitchell J. Horn
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Elif Gokcal
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - J. Alex Becker
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States
| | - Alvin S. Das
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Kristin Schwab
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Maria Clara Zanon Zotin
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, Center for Imaging Sciences and Medical Physics, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Joshua N. Goldstein
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Jonathan Rosand
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Anand Viswanathan
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Jonathan R. Polimeni
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - Marco Duering
- Medical Image Analysis Center (MIAC), Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Steven M. Greenberg
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - M. Edip Gurol
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
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Jolink WMT, van Veluw SJ, Zwanenburg JJM, Rozemuller AJM, van Hecke W, Frosch MP, Bacskai BJ, Rinkel GJE, Greenberg SM, Klijn CJM. Histopathology of Cerebral Microinfarcts and Microbleeds in Spontaneous Intracerebral Hemorrhage. Transl Stroke Res 2023; 14:174-184. [PMID: 35384634 PMCID: PMC9995541 DOI: 10.1007/s12975-022-01016-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 03/21/2022] [Accepted: 03/28/2022] [Indexed: 10/18/2022]
Abstract
In patients with spontaneous intracerebral hemorrhage caused by different vasculopathies, cerebral microinfarcts have the same aspect on MRI and the same applies to cerebral microbleeds. It is unclear what pathological changes underlie these cerebral microinfarcts and cerebral microbleeds. In the current study, we explored the histopathological substrate of these lesions by investigating the brain tissue of 20 patients (median age at death 77 years) who died from ICH (9 lobar, 11 non-lobar) with a combination of post-mortem 7-T MRI and histopathological analysis. We identified 132 CMIs and 204 CMBs in 15 patients on MRI, with higher numbers of CMIs in lobar ICH patients and similar numbers of CMBs. On histopathology, CMIs and CMBs were in lobar ICH more often located in the superficial than in the deep layers of the cortex, and in non-lobar ICH more often in the deeper layers. We found a tendency towards more severe CAA scores in lobar ICH patients. Other histopathological characteristics were comparable between lobar and non-lobar ICH patients. Although CMIs and CMBs were found in different segments of the cortex in lobar ICH compared to non-lobar ICH patients, otherwise similar histopathological features of cortical CMIs and CMBs distant from the ICH suggest shared pathophysiological mechanisms in lobar and non-lobar ICH caused by different vasculopathies.
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Affiliation(s)
- Wilmar M T Jolink
- Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht University, G03.129, PO Box 85500, 3508 GA, Utrecht, The Netherlands.
- Department of Neurology, Isala Hospital, Zwolle, The Netherlands.
| | - Susanne J van Veluw
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Alzheimer Research Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jaco J M Zwanenburg
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Annemieke J M Rozemuller
- Department of Pathology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Wim van Hecke
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Matthew P Frosch
- Neuropathology Service, C.S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Brian J Bacskai
- Alzheimer Research Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Gabriël J E Rinkel
- Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht University, G03.129, PO Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Steven M Greenberg
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Catharina J M Klijn
- Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht University, G03.129, PO Box 85500, 3508 GA, Utrecht, The Netherlands
- Department of Neurology, Donders Institute for Brain,Cognition and Behaviour, Centre for Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
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Alban SL, Lynch KM, Ringman JM, Toga AW, Chui HC, Sepehrband F, Choupan J. The association between white matter hyperintensities and amyloid and tau deposition. Neuroimage Clin 2023; 38:103383. [PMID: 36965457 PMCID: PMC10060905 DOI: 10.1016/j.nicl.2023.103383] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 02/09/2023] [Accepted: 03/16/2023] [Indexed: 03/22/2023]
Abstract
White matter hyperintensities (WMHs) frequently occur in Alzheimer's Disease (AD) and have a contribution from ischemia, though their relationship with β-amyloid and cardiovascular risk factors (CVRFs) is not completely understood. We used AT classification to categorize individuals based on their β-amyloid and tau pathologies, then assessed the effects of β-amyloid and tau on WMH volume and number. We then determined regions in which β-amyloid and WMH accumulation were related. Last, we analyzed the effects of various CVRFs on WMHs. As secondary analyses, we observed effects of age and sex differences, atrophy, cognitive scores, and APOE genotype. PET, MRI, FLAIR, demographic, and cardiovascular health data was collected from the Alzheimer's Disease Neuroimaging Initiative (ADNI-3) (N = 287, 48 % male). Participants were categorized as A + and T + if their Florbetapir SUVR and Flortaucipir SUVR were above 0.79 and 1.25, respectively. WMHs were mapped on MRI using a deep convolutional neural network (Sepehrband et al., 2020). CVRF scores were based on history of hypertension, systolic and diastolic blood pressure, pulse rate, respiration rate, BMI, and a cumulative score with 6 being the maximum score. Regression models and Pearson correlations were used to test associations and correlations between variables, respectively, with age, sex, years of education, and scanner manufacturer as covariates of no interest. WMH volume percent was significantly associated with global β-amyloid (r = 0.28, p < 0.001), but not tau (r = 0.05, p = 0.25). WMH volume percent was higher in individuals with either A + or T + pathology compared to controls, particularly within in the A+/T + group (p = 0.007, Cohen's d = 0.4, t = -2.5). Individual CVRFs nor cumulative CVRF scores were associated with increased WMH volume. Finally, the regions where β-amyloid and WMH count were most positively associated were the middle temporal region in the right hemisphere (r = 0.18, p = 0.002) and the fusiform region in the left hemisphere (r = 0.017, p = 0.005). β-amyloid and WMH have a clear association, though the mechanism facilitating this association is still not fully understood. The associations found between β-amyloid and WMH burden emphasizes the relationship between β-amyloid and vascular lesion formation while factors like CVRFs, age, and sex affect AD development through various mechanisms. These findings highlight potential causes and mechanisms of AD as targets for future preventions and treatments. Going forward, a larger emphasis may be placed on β-amyloid's vascular effects and the implications of impaired brain clearance in AD.
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Affiliation(s)
- Sierra L Alban
- Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Kirsten M Lynch
- Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - John M Ringman
- Alzheimer's Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Arthur W Toga
- Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Alzheimer's Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Helena C Chui
- Alzheimer's Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Farshid Sepehrband
- Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jeiran Choupan
- Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; NeuroScope Inc., Scarsdale, NY, USA
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Perosa V, Rotta J, Yakupov R, Kuijf HJ, Schreiber F, Oltmer JT, Mattern H, Heinze HJ, Düzel E, Schreiber S. Implications of quantitative susceptibility mapping at 7 Tesla MRI for microbleeds detection in cerebral small vessel disease. Front Neurol 2023; 14:1112312. [PMID: 37006483 PMCID: PMC10050564 DOI: 10.3389/fneur.2023.1112312] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 02/20/2023] [Indexed: 03/17/2023] Open
Abstract
BackgroundCerebral microbleeds (MBs) are a hallmark of cerebral small vessel disease (CSVD) and can be found on T2*-weighted sequences on MRI. Quantitative susceptibility mapping (QSM) is a postprocessing method that also enables MBs identification and furthermore allows to differentiate them from calcifications.AimsWe explored the implications of using QSM at submillimeter resolution for MBs detection in CSVD.MethodsBoth 3 and 7 Tesla (T) MRI were performed in elderly participants without MBs and patients with CSVD. MBs were quantified on T2*-weighted imaging and QSM. Differences in the number of MBs were assessed, and subjects were classified in CSVD subgroups or controls both on 3T T2*-weighted imaging and 7T QSM.Results48 participants [mean age (SD) 70.9 (8.8) years, 48% females] were included: 31 were healthy controls, 6 probable cerebral amyloid angiopathy (CAA), 9 mixed CSVD, and 2 were hypertensive arteriopathy [HA] patients. After accounting for the higher number of MBs detected at 7T QSM (Median = Mdn; Mdn7T−QSM = 2.5; Mdn3T−T2 = 0; z = 4.90; p < 0.001) and false positive MBs (6.1% calcifications), most healthy controls (80.6%) demonstrated at least one MB and more MBs were discovered in the CSVD group.ConclusionsOur observations suggest that QSM at submillimeter resolution improves the detection of MBs in the elderly human brain. A higher prevalence of MBs than so far known in healthy elderly was revealed.
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Affiliation(s)
- Valentina Perosa
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
- *Correspondence: Valentina Perosa
| | - Johanna Rotta
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Renat Yakupov
- Institute of Cognitive Neurology and Dementia Research (IKND), Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Hugo J. Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands
| | - Frank Schreiber
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Jan T. Oltmer
- Athinoula A. Martinos Center, Massachusetts General Hospital, Department of Radiology, Boston, MA, United States
| | - Hendrik Mattern
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Physics, Otto-von-Guericke University, Magdeburg, Germany
| | - Hans-Jochen Heinze
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Center for Behavioral Brain Sciences, Magdeburg, Germany
| | - Emrah Düzel
- Institute of Cognitive Neurology and Dementia Research (IKND), Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Center for Behavioral Brain Sciences, Magdeburg, Germany
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom
| | - Stefanie Schreiber
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Center for Behavioral Brain Sciences, Magdeburg, Germany
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Chen Zhou ZH, Salvador Álvarez E, Hilario Barrio A, Cárdenas Del Carre AM, Romero Coronado J, Ramos González A. Primary and secondary non-traumatic intra-cerebral haemorrhage: MRI findings. RADIOLOGÍA (ENGLISH EDITION) 2023; 65:149-164. [PMID: 37059580 DOI: 10.1016/j.rxeng.2023.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 01/02/2023] [Indexed: 04/03/2023]
Abstract
Intracranial haemorrhage (ICH) accounts for 10-30% of strokes, being the form with the worst prognosis. The causes of cerebral haemorrhage can be both primary, mainly hypertensive and amyloid angiopathy, and secondary, such as tumours or vascular lesions. Identifying the aetiology of bleeding is essential since it determines the treatment to be performed and the patient's prognosis. The main objective of this review is to review the main magnetic resonance imaging (MRI) findings of the primary and secondary causes of ICH, focusing on those radiological signs that help guide bleeding due to primary angiopathy or secondary to an underlying lesion. The indications for MRI in the event of non-traumatic intracranial haemorrhage will also be reviewed.
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Affiliation(s)
- Z H Chen Zhou
- Departamento de Radiodiagnóstico, Sección de Neuroradiología, Hospital Universitario 12 de Octubre, Madrid, Spain.
| | - E Salvador Álvarez
- Departamento de Radiodiagnóstico, Sección de Neuroradiología, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - A Hilario Barrio
- Departamento de Radiodiagnóstico, Sección de Neuroradiología, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - A M Cárdenas Del Carre
- Departamento de Radiodiagnóstico, Sección de Neuroradiología, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - J Romero Coronado
- Departamento de Radiodiagnóstico, Sección de Neuroradiología, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - A Ramos González
- Departamento de Radiodiagnóstico, Sección de Neuroradiología, Hospital Universitario 12 de Octubre, Madrid, Spain
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Chen Zhou Z, Salvador Álvarez E, Hilario Barrio A, María Cárdenas del Carre A, Romero Coronado J, Ramos González A. Hemorragia cerebral primaria y secundaria no traumática: Hallazgos en RM. RADIOLOGIA 2023. [DOI: 10.1016/j.rx.2023.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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Das AS, Gokcal E, Regenhardt RW, Horn MJ, Schwab K, Daoud N, Viswanathan A, Kimberly WT, Goldstein JN, Biffi A, Rost N, Rosand J, Schwamm LH, Greenberg SM, Gurol ME. Improving detection of cerebral small vessel disease aetiology in patients with isolated lobar intracerebral haemorrhage. Stroke Vasc Neurol 2023; 8:26-33. [PMID: 35981809 PMCID: PMC9985798 DOI: 10.1136/svn-2022-001653] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 07/19/2022] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND AND PURPOSE We evaluate whether non-haemorrhagic imaging markers (NHIM) (white matter hyperintensity patterns, lacunes and enlarged perivascular spaces (EPVS)) can discriminate cerebral amyloid angiopathy (CAA) from hypertensive cerebral small vessel disease (HTN-cSVD) among patients with isolated lobar intracerebral haemorrhage (isolated-LICH). METHODS In patients with isolated-LICH, four cSVD aetiologic groups were created by incorporating the presence/distribution of NHIM: HTN-cSVD pattern, CAA pattern, mixed NHIM and no NHIM. CAA pattern consisted of patients with any combination of severe centrum semiovale EPVS, lobar lacunes or multiple subcortical spots pattern. HTN-cSVD pattern consisted of any HTN-cSVD markers: severe basal ganglia PVS, deep lacunes or peribasal ganglia white matter hyperintensity pattern. Mixed NHIM consisted of at least one imaging marker from either pattern. Our hypothesis was that patients with HTN-cSVD pattern/mixed NHIM would have a higher frequency of left ventricular hypertrophy (LVH), which is associated with HTN-cSVD. RESULTS In 261 patients with isolated-LICH, CAA pattern was diagnosed in 93 patients, HTN-cSVD pattern in 53 patients, mixed NHIM in 19 patients and no NHIM in 96 patients. The frequency of LVH was similar among those with HTN-cSVD pattern and mixed NHIM (50% vs 39%, p=0.418) but was more frequent in HTN-cSVD pattern compared with CAA pattern (50% vs 20%, p<0.001). In a regression model, HTN-cSVD pattern (OR: 7.38; 95% CI 2.84 to 19.20) and mixed NHIM (OR: 4.45; 95% CI 1.25 to 15.90) were found to be independently associated with LVH. CONCLUSION Among patients with isolated-LICH, NHIM may help differentiate HTN-cSVD from CAA, using LVH as a marker for HTN-cSVD.
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Affiliation(s)
- Alvin S Das
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Elif Gokcal
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Robert W Regenhardt
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.,Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Mitchell J Horn
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Kristin Schwab
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Nader Daoud
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Anand Viswanathan
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - W Taylor Kimberly
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Joshua N Goldstein
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Alessandro Biffi
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Natalia Rost
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Jonathan Rosand
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Lee H Schwamm
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Steven M Greenberg
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - M Edip Gurol
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Jang H, Chun MY, Kim HJ, Na DL, Seo SW. The effects of imaging markers on clinical trajectory in cerebral amyloid angiopathy: a longitudinal study in a memory clinic. Alzheimers Res Ther 2023; 15:14. [PMID: 36635759 PMCID: PMC9835259 DOI: 10.1186/s13195-023-01161-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 01/02/2023] [Indexed: 01/14/2023]
Abstract
BACKGROUND We investigated the relevance of various imaging markers for the clinical trajectory of cerebral amyloid angiopathy (CAA) patients in a memory clinic. METHODS A total of 226 patients with probable CAA were included in this study with a mean follow-up period of 3.5 ± 2.7 years. Although all had more than one follow-up visit, 173 underwent follow-up Mini-Mental Status Examination (MMSE) and Clinical Dementia Rating Sum of Boxes (CDR-SB) ranging from 2 to 15 time points. Among 226, 122 patients underwent amyloid-β (Aβ) PET imaging. The prevalence of intracerebral hemorrhage (ICH) and its imaging predictors was investigated. The effects of CAA imaging markers and Aβ PET positivity on longitudinal cognition based on the MMSE and CDR-SB were evaluated using mixed effects models. RESULTS During the follow-up, 10 (4.4%) patients developed ICH: cortical superficial siderosis (cSS; hazard ratio [HR], 6.45) and previous lobar ICH (HR, 4.9), but lobar cerebral microbleeds (CMBs) were not predictors of ICH development. The presence of CMIs (p = 0.045) and Aβ positivity (p = 0.002) were associated with worse MMSE trajectory in CAA patients. Regarding CDR-SB trajectory, only Aβ positivity was marginally associated with worse longitudinal change (p = 0.050). CONCLUSION The results of the present study indicated that various imaging markers in CAA patients have different clinical relevance and predictive values for further clinical courses.
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Affiliation(s)
- Hyemin Jang
- grid.414964.a0000 0001 0640 5613Samsung Alzheimer’s Convergence Research Center, Samsung Medical Center, Seoul, South Korea ,grid.264381.a0000 0001 2181 989XDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351 South Korea ,grid.414964.a0000 0001 0640 5613Neuroscience Center, Samsung Medical Center, Seoul, South Korea ,grid.264381.a0000 0001 2181 989XDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
| | - Min Young Chun
- grid.264381.a0000 0001 2181 989XDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351 South Korea ,grid.414964.a0000 0001 0640 5613Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Hee Jin Kim
- grid.264381.a0000 0001 2181 989XDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351 South Korea ,grid.414964.a0000 0001 0640 5613Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Duk L. Na
- grid.264381.a0000 0001 2181 989XDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351 South Korea ,Happymind Clinic, Seoul, South Korea
| | - Sang Won Seo
- grid.414964.a0000 0001 0640 5613Samsung Alzheimer’s Convergence Research Center, Samsung Medical Center, Seoul, South Korea ,grid.264381.a0000 0001 2181 989XDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351 South Korea ,grid.414964.a0000 0001 0640 5613Neuroscience Center, Samsung Medical Center, Seoul, South Korea ,grid.264381.a0000 0001 2181 989XDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
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The NLRP3 Inflammasome in Age-Related Cerebral Small Vessel Disease Manifestations: Untying the Innate Immune Response Connection. LIFE (BASEL, SWITZERLAND) 2023; 13:life13010216. [PMID: 36676165 PMCID: PMC9866483 DOI: 10.3390/life13010216] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/07/2023] [Accepted: 01/09/2023] [Indexed: 01/14/2023]
Abstract
In this narrative review, we present the evidence on nucleotide-binding and oligomerization (NOD) domain-like receptor (NLR) family pyrin domain (PYD)-containing 3 (NLRP3) inflammasome activation for its putative roles in the elusive pathomechanism of aging-related cerebral small vessel disease (CSVD). Although NLRP3 inflammasome-interleukin (IL)-1β has been implicated in the pathophysiology of coronary artery disease, its roles in cerebral arteriothrombotic micro-circulation disease such as CSVD remains unexplored. Here, we elaborate on the current manifestations of CSVD and its' complex pathogenesis and relate the array of activators and aberrant activation involving NLRP3 inflammasome with this condition. These neuroinflammatory insights would expand on our current understanding of CSVD clinical (and subclinical) heterogenous manifestations whilst highlighting plausible NLRP3-linked therapeutic targets.
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Biesbroek JM, Biessels GJ. Diagnosing vascular cognitive impairment: Current challenges and future perspectives. Int J Stroke 2023; 18:36-43. [PMID: 35098817 PMCID: PMC9806474 DOI: 10.1177/17474930211073387] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Cerebrovascular disease is a major cause of cognitive decline and dementia. This is referred to as vascular cognitive impairment (VCI). Diagnosing VCI is important, among others to optimize treatment to prevent further vascular injury. This narrative review addresses challenges in current diagnostic approaches to VCI and potential future developments. First we summarize how diagnostic criteria for VCI evolved over time. We then highlight challenges in diagnosing VCI in clinical practice: assessment of severity of vascular brain injury on brain imaging is often imprecise and the relation between vascular lesion burden and cognitive functioning shows high intersubject variability. This can make it difficult to establish causality in individual patients. Moreover, because VCI is essentially an umbrella term, it lacks specificity on disease mechanisms, prognosis, and treatment. We see the need for a fundamentally different approach to diagnosing VCI, which should be more dimensional, including multimodal quantitative assessment of injury, with more accurate estimation of cognitive impact, and include biological definitions of disease that can support further development of targeted treatment. Recent developments in the field that can form the basis of such an approach are discussed.
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Affiliation(s)
- J Matthijs Biesbroek
- Department of Neurology, UMC Utrecht
Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands,Department of Neurology,
Diakonessenhuis Hospital, Utrecht, The Netherlands
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht
Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands,Geert Jan Biessels, Department of
Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, G03.232,
PO Box 85500, 3508 GA Utrecht, The Netherlands.
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Nagaraja N, Wang WE, Duara R, DeKosky ST, Vaillancourt D. Mediation of Reduced Hippocampal Volume by Cerebral Amyloid Angiopathy in Pathologically Confirmed Patients with Alzheimer's Disease. J Alzheimers Dis 2023; 93:495-507. [PMID: 37038809 PMCID: PMC11952816 DOI: 10.3233/jad-220624] [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] [Indexed: 04/07/2023]
Abstract
BACKGROUND Hippocampal atrophy in cerebral amyloid angiopathy (CAA) has been reported to be similar to that in Alzheimer's disease (AD). OBJECTIVE To evaluate if CAA pathology partly mediates reduced hippocampal volume in patients with AD. METHODS Patients with a clinical diagnosis of AD and neuropathological confirmation of AD+/-CAA in the National Alzheimer's Coordinating Center database were included in the study. The volumes of temporal lobe structures were calculated on T1-weighted imaging (T1-MRI) using automated FreeSurfer software, from images acquired on average 5 years prior to death. Multivariate regression analysis was performed to compare brain volumes in four CAA groups. The hippocampal volume on T1-MRI was correlated with Clinical Dementia Rating sum of boxes (CDRsb) score, apolipoprotein E (APOE) genotype, and hippocampal atrophy at autopsy. RESULTS The study included 231 patients with no (n = 45), mild (n = 70), moderate (n = 67), and severe (n = 49) CAA. Among the four CAA groups, patients with severe CAA had a smaller mean left hippocampal volume (p = 0.023) but this was not significant when adjusted for APOE ɛ4 (p = 0.07). The left hippocampal volume on MRI correlated significantly with the hippocampal atrophy grading on neuropathology (p = 0.0003). Among patients with severe CAA, the left hippocampal volume on T1-MRI: (a) decreased with an increase in the number of APOE ɛ4 alleles (p = 0.04); but (b) had no evidence of correlation with CDRsb score (p = 0.57). CONCLUSION Severe CAA was associated with smaller left hippocampal volume on T1-MRI up to five years prior to death among patients with neuropathologically confirmed AD. This relationship was dependent on APOE ɛ4 genotype.
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Affiliation(s)
- Nandakumar Nagaraja
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Wei-en Wang
- Laboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - Ranjan Duara
- Department of Neurology, Mount Sinai Medical Center, Miami Beach, FL, USA
| | - Steven T. DeKosky
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA
- McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - David Vaillancourt
- Laboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
- Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
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Huhndorf M, Röcken C, Flüh C, Weiler C, Kuhlenbäumer G, Tegeler N, Schacht H, Neumann A, Margraf NG, Jensen-Kondering U. Frequency of deep-seated cerebral microbleeds in patients with lobar hemorrhages and histopathological evidence for cerebral amyloid angiopathy. Front Neurol 2023; 14:1146737. [PMID: 37122304 PMCID: PMC10130449 DOI: 10.3389/fneur.2023.1146737] [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: 01/17/2023] [Accepted: 03/08/2023] [Indexed: 05/02/2023] Open
Abstract
Background Cerebral amyloid angiopathy (CAA) is a common disease and the most common cause of lobar hemorrhages in the elderly. Usually, deep-seated microhemorrhages preclude the diagnosis of CAA. In this study, we sought to estimate the frequency of deep-seated microbleeds on MRI in patients with lobar hemorrhages and histopathological evidence for cerebral amyloid angiopathy. In addition, we describe a cohort of patients with cortical and deep-seated microbleeds on MRI and a histopathological specimen available from lobar hematoma evacuation. Methods Retrospective database search for histopathological specimens from lobar hematoma evacuation and review of imaging findings (CT and MRI) and patient charts was performed. Results Between 1 January 2012 and 31 December 2020, 88 specimens from 88 patients were available. A total of 56 specimens were excluded (no brain tissue in the specimen n = 4, other diagnosis n = 8, no MRI n = 43, and no BOLD-based sequence n = 1). Of the remaining 32 patients, 25 patients (78%) did not harbor deep-seated lesions on MRI, of which 17 patients had histopathological features of CAA. A total of seven patients harbored deep-seated CMB. Of these seven patients, three (3/20, 15%) had histopathological features of CAA. Conclusion Approximately 15% of patients with histopathologically diagnosed CAA harbor deep-seated microbleeds. This finding may add to the discussion on how to identify patients with CAA and deep-seated CMB.
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Affiliation(s)
- Monika Huhndorf
- Department of Radiology and Neuroradiology, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
| | - Christoph Röcken
- Department of Pathology, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
| | - Charlotte Flüh
- Department of Neurosurgery, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
| | - Caroline Weiler
- Department of Neurology, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
| | - Gregor Kuhlenbäumer
- Department of Neurology, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
| | - Nora Tegeler
- Department of Neurosurgery, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
| | - Hannes Schacht
- Department of Neuroradiology, Universitätsklinikum Schleswig-Holstein (UKSH), Lübeck, Germany
| | - Alexander Neumann
- Department of Neuroradiology, Universitätsklinikum Schleswig-Holstein (UKSH), Lübeck, Germany
| | - Nils G. Margraf
- Department of Neurology, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
| | - Ulf Jensen-Kondering
- Department of Radiology and Neuroradiology, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
- Department of Neuroradiology, Universitätsklinikum Schleswig-Holstein (UKSH), Lübeck, Germany
- *Correspondence: Ulf Jensen-Kondering
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Bhagat R, Marini S, Romero JR. Genetic considerations in cerebral small vessel diseases. Front Neurol 2023; 14:1080168. [PMID: 37168667 PMCID: PMC10164974 DOI: 10.3389/fneur.2023.1080168] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 04/04/2023] [Indexed: 05/13/2023] Open
Abstract
Cerebral small vessel disease (CSVD) encompasses a broad clinical spectrum united by pathology of the small vessels of the brain. CSVD is commonly identified using brain magnetic resonance imaging with well characterized markers including covert infarcts, white matter hyperintensities, enlarged perivascular spaces, and cerebral microbleeds. The pathophysiology of CSVD is complex involving genetic determinants, environmental factors, and their interactions. While the role of vascular risk factors in CSVD is well known and its management is pivotal in mitigating the clinical effects, recent research has identified novel genetic factors involved in CSVD. Delineating genetic determinants can promote the understanding of the disease and suggest effective treatments and preventive measures of CSVD at the individual level. Here we review CSVD focusing on recent advances in the genetics of CSVD. The knowledge gained has advanced understanding of the pathophysiology of CSVD, offered promising early results that may improve subtype identification of small vessel strokes, has led to additional identification of mendelian forms of small vessel strokes, and is getting closer to influencing clinical care through pharmacogenetic studies.
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Affiliation(s)
- Riwaj Bhagat
- Department of Neurology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States
| | - Sandro Marini
- Department of Neurology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States
| | - José R. Romero
- Department of Neurology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States
- NHLBI’s Framingham Heart Study, Framingham, MA, United States
- *Correspondence: José R. Romero,
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White Matter Lesions Predominantly Located in Deep White Matter Represent Embolic Etiology Rather Than Small Vessel Disease. Dement Neurocogn Disord 2023; 22:28-42. [PMID: 36814699 PMCID: PMC9939570 DOI: 10.12779/dnd.2023.22.1.28] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 01/15/2023] [Accepted: 01/28/2023] [Indexed: 02/17/2023] Open
Abstract
Background and Purpose We investigated the correlation between the deep distribution of white matter hyperintensity (WMH) (dWMH: WMH in deep and corticomedullary areas, with minimal periventricular WMH) and a positive agitated saline contrast echocardiography result. Methods We retrospectively recruited participants with comprehensive dementia evaluations, an agitated saline study, and brain imaging. The participants were classified into two groups according to WMH-distributions: dWMH and dpWMH (mainly periventricular WMH with or without deep WMH.) We hypothesized that dWMH is more likely associated with embolism, whereas dpWMH is associated with small-vessel diseases. We compared the clinical characteristics, WMH-distributions, and positive rate of agitated saline studies between the two groups. Results Among 90 participants, 27 and 12 met the dWMH and dpWMH criteria, respectively. The dWMH-group was younger (62.2±7.5 vs. 78.9±7.3, p<0.001) and had a lower prevalence of hypertension (29.6% vs. 75%, p=0.008), diabetes mellitus (3.7% vs. 25%, p=0.043), and hyperlipidemia (33.3% vs. 83.3%, p=0.043) than the dpWMH-group. Regarding deep white matter lesions, the number of small lesions (<3 mm) was higher in the dWMH-group(10.9±9.7) than in the dpWMH-group (3.1±6.4) (p=0.008), and WMH was predominantly distributed in the border-zones and corticomedullary areas. Most importantly, the positive agitated saline study rate was higher in the dWMH-group than in the dpWMH-group (81.5% vs. 33.3%, p=0.003). Conclusions The dWMH-group with younger participants had fewer cardiovascular risk factors, showed more border-zone-distributions, and had a higher agitated saline test positivity rate than the dpWMH-group, indicating that corticomedullary or deep WMH-distribution with minimal periventricular WMH suggests embolic etiologies.
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Phuah CL, Chen Y, Strain JF, Yechoor N, Laurido-Soto OJ, Ances BM, Lee JM. Association of Data-Driven White Matter Hyperintensity Spatial Signatures With Distinct Cerebral Small Vessel Disease Etiologies. Neurology 2022; 99:e2535-e2547. [PMID: 36123127 PMCID: PMC9754646 DOI: 10.1212/wnl.0000000000201186] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 07/15/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Topographical distribution of white matter hyperintensities (WMH) are hypothesized to vary by cerebrovascular risk factors. We used an unbiased pattern discovery approach to identify distinct WMH spatial patterns and investigate their association with different WMH etiologies. METHODS We performed a cross-sectional study on participants of the Alzheimer's Disease Neuroimaging Initiative (ADNI) to identify spatially distinct WMH distribution patterns using voxel-based spectral clustering analysis of aligned WMH probability maps. We included all participants from the ADNI Grand Opportunity/ADNI 2 study with available baseline 2D-FLAIR MRI scans, without history of stroke or presence of infarction on imaging. We evaluated the associations of these WMH spatial patterns with vascular risk factors, amyloid-β PET, and imaging biomarkers of cerebral amyloid angiopathy (CAA), characterizing different forms of cerebral small vessel disease (CSVD) using multivariable regression. We also used linear regression models to investigate whether WMH spatial distribution influenced cognitive impairment. RESULTS We analyzed MRI scans of 1,046 ADNI participants with mixed vascular and amyloid-related risk factors (mean age 72.9, 47.7% female, 31.4% hypertensive, 48.3% with abnormal amyloid PET). We observed unbiased partitioning of WMH into 5 unique spatial patterns: deep frontal, periventricular, juxtacortical, parietal, and posterior. Juxtacortical WMH were independently associated with probable CAA, deep frontal WMH were associated with risk factors for arteriolosclerosis (hypertension and diabetes), and parietal WMH were associated with brain amyloid accumulation, consistent with an Alzheimer disease (AD) phenotype. Juxtacortical, deep frontal, and parietal WMH spatial patterns were associated with cognitive impairment. Periventricular and posterior WMH spatial patterns were unrelated to any disease phenotype or cognitive decline. DISCUSSION Data-driven WMH spatial patterns reflect discrete underlying etiologies including arteriolosclerosis, CAA, AD, and normal aging. Global measures of WMH volume may miss important spatial distinctions. WMH spatial signatures may serve as etiology-specific imaging markers, helping to resolve WMH heterogeneity, identify the dominant underlying pathologic process, and improve prediction of clinical-relevant trajectories that influence cognitive decline.
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Affiliation(s)
- Chia-Ling Phuah
- From the Department of Neurology (C.-L.P., Y.C., J.F.S., N.Y., O.J.L.-S., B.M.A., J.-M.L.), Washington University School of Medicine & Barnes-Jewish Hospital, St. Louis, MO; NeuroGenomics and Informatics Center (C.-L.P.), Washington University School of Medicine, St. Louis, MO; Mallinckrodt Institute of Radiology (J.-M.L.), Washington University School of Medicine, St. Louis, MO; and Department of Biomedical Engineering (J.-M.L.), Washington University School of Medicine, St. Louis, MO
| | - Yasheng Chen
- From the Department of Neurology (C.-L.P., Y.C., J.F.S., N.Y., O.J.L.-S., B.M.A., J.-M.L.), Washington University School of Medicine & Barnes-Jewish Hospital, St. Louis, MO; NeuroGenomics and Informatics Center (C.-L.P.), Washington University School of Medicine, St. Louis, MO; Mallinckrodt Institute of Radiology (J.-M.L.), Washington University School of Medicine, St. Louis, MO; and Department of Biomedical Engineering (J.-M.L.), Washington University School of Medicine, St. Louis, MO
| | - Jeremy F Strain
- From the Department of Neurology (C.-L.P., Y.C., J.F.S., N.Y., O.J.L.-S., B.M.A., J.-M.L.), Washington University School of Medicine & Barnes-Jewish Hospital, St. Louis, MO; NeuroGenomics and Informatics Center (C.-L.P.), Washington University School of Medicine, St. Louis, MO; Mallinckrodt Institute of Radiology (J.-M.L.), Washington University School of Medicine, St. Louis, MO; and Department of Biomedical Engineering (J.-M.L.), Washington University School of Medicine, St. Louis, MO
| | - Nirupama Yechoor
- From the Department of Neurology (C.-L.P., Y.C., J.F.S., N.Y., O.J.L.-S., B.M.A., J.-M.L.), Washington University School of Medicine & Barnes-Jewish Hospital, St. Louis, MO; NeuroGenomics and Informatics Center (C.-L.P.), Washington University School of Medicine, St. Louis, MO; Mallinckrodt Institute of Radiology (J.-M.L.), Washington University School of Medicine, St. Louis, MO; and Department of Biomedical Engineering (J.-M.L.), Washington University School of Medicine, St. Louis, MO
| | - Osvaldo J Laurido-Soto
- From the Department of Neurology (C.-L.P., Y.C., J.F.S., N.Y., O.J.L.-S., B.M.A., J.-M.L.), Washington University School of Medicine & Barnes-Jewish Hospital, St. Louis, MO; NeuroGenomics and Informatics Center (C.-L.P.), Washington University School of Medicine, St. Louis, MO; Mallinckrodt Institute of Radiology (J.-M.L.), Washington University School of Medicine, St. Louis, MO; and Department of Biomedical Engineering (J.-M.L.), Washington University School of Medicine, St. Louis, MO
| | - Beau M Ances
- From the Department of Neurology (C.-L.P., Y.C., J.F.S., N.Y., O.J.L.-S., B.M.A., J.-M.L.), Washington University School of Medicine & Barnes-Jewish Hospital, St. Louis, MO; NeuroGenomics and Informatics Center (C.-L.P.), Washington University School of Medicine, St. Louis, MO; Mallinckrodt Institute of Radiology (J.-M.L.), Washington University School of Medicine, St. Louis, MO; and Department of Biomedical Engineering (J.-M.L.), Washington University School of Medicine, St. Louis, MO
| | - Jin-Moo Lee
- From the Department of Neurology (C.-L.P., Y.C., J.F.S., N.Y., O.J.L.-S., B.M.A., J.-M.L.), Washington University School of Medicine & Barnes-Jewish Hospital, St. Louis, MO; NeuroGenomics and Informatics Center (C.-L.P.), Washington University School of Medicine, St. Louis, MO; Mallinckrodt Institute of Radiology (J.-M.L.), Washington University School of Medicine, St. Louis, MO; and Department of Biomedical Engineering (J.-M.L.), Washington University School of Medicine, St. Louis, MO.
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Das AS, Gökçal E, Regenhardt RW, Warren AD, Biffi A, Goldstein JN, Kimberly WT, Viswanathan A, Schwamm LH, Rosand J, Greenberg SM, Gurol ME. Clinical and neuroimaging risk factors associated with the development of intracerebral hemorrhage while taking direct oral anticoagulants. J Neurol 2022; 269:6589-6596. [PMID: 35997817 PMCID: PMC10947801 DOI: 10.1007/s00415-022-11333-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/06/2022] [Accepted: 08/09/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND AIMS Intracerebral hemorrhage (ICH) associated with direct oral anticoagulant (DOAC) usage confers significant mortality/disability. We aimed to understand the clinical and neuroimaging features associated with developing ICH among DOAC users. METHODS Clinical and radiological data were collected from consecutive DOAC users with ICH (DOAC-ICH) and age-matched controls without ICH from a single referral center. The frequency/distribution of MRI markers of hemorrhage risk were assessed. Baseline demographics and neuroimaging markers were compared in univariate tests. Significant associations (p < 0.1) were entered into a multivariable regression model to determine predictors of ICH. RESULTS 86 DOAC-ICH and 94 ICH-free patients were included. Diabetes, coronary artery disease, prior ischemic stroke, smoking history, and antiplatelet usage were more common in ICH patients than ICH-free DOAC users. In the neuroimaging analyses, severe white matter hyperintensities (WMHs), lacunes, cortical superficial siderosis (cSS), and cerebral microbleeds (CMBs) were more common in the ICH cohort than the ICH-free cohort. In the multivariable regression, diabetes [OR 3.53 95% CI (1.05-11.87)], prior ischemic stroke [OR 14.80 95% CI (3.33-65.77)], smoking history [OR 3.08 95% CI (1.05-9.01)], CMBs [OR 4.07 95% CI (1.45-11.39)], and cSS [OR 39.73 95% CI (3.43-460.24)] were independently associated with ICH. CONCLUSIONS Risk factors including diabetes, prior stroke, and smoking history as well as MRI biomarkers including CMBs and cSS are associated with ICH in DOAC users. Although screening MRIs are not typically performed prior to initiating DOAC therapy, these data suggest that patients of high-hemorrhagic risk may be identified.
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Affiliation(s)
- Alvin S Das
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 175 Cambridge Street, Suite 300, Boston, MA, 02114, USA
| | - Elif Gökçal
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 175 Cambridge Street, Suite 300, Boston, MA, 02114, USA
| | - Robert W Regenhardt
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 175 Cambridge Street, Suite 300, Boston, MA, 02114, USA
| | - Andrew D Warren
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 175 Cambridge Street, Suite 300, Boston, MA, 02114, USA
| | - Alessandro Biffi
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 175 Cambridge Street, Suite 300, Boston, MA, 02114, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Joshua N Goldstein
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - W Taylor Kimberly
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 175 Cambridge Street, Suite 300, Boston, MA, 02114, USA
| | - Anand Viswanathan
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 175 Cambridge Street, Suite 300, Boston, MA, 02114, USA
| | - Lee H Schwamm
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 175 Cambridge Street, Suite 300, Boston, MA, 02114, USA
| | - Jonathan Rosand
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 175 Cambridge Street, Suite 300, Boston, MA, 02114, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Steven M Greenberg
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 175 Cambridge Street, Suite 300, Boston, MA, 02114, USA
| | - M Edip Gurol
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 175 Cambridge Street, Suite 300, Boston, MA, 02114, USA.
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Cerebral Superficial Siderosis. Clin Neuroradiol 2022; 33:293-306. [DOI: 10.1007/s00062-022-01231-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 10/11/2022] [Indexed: 11/29/2022]
Abstract
AbstractSuperficial siderosis (SS) of the central nervous system constitutes linear hemosiderin deposits in the leptomeninges and the superficial layers of the cerebrum and the spinal cord. Infratentorial (i) SS is likely due to recurrent or continuous slight bleeding into the subarachnoid space. It is assumed that spinal dural pathologies often resulting in cerebrospinal fluid (CSF) leakage is the most important etiological group which causes iSS and detailed neuroradiological assessment of the spinal compartment is necessary. Further etiologies are neurosurgical interventions, trauma and arteriovenous malformations. Typical neurological manifestations of this classical type of iSS are slowly progressive sensorineural hearing impairment and cerebellar symptoms, such as ataxia, kinetic tremor, nystagmus and dysarthria. Beside iSS, a different type of SS restricted to the supratentorial compartment can be differentiated, i.e. cortical (c) SS, especially in older people often due to cerebral amyloid angiopathy (CAA). Clinical presentation of cSS includes transient focal neurological episodes or “amyloid spells”. In addition, spontaneous and amyloid beta immunotherapy-associated CAA-related inflammation may cause cSS, which is included in the hemorrhagic subgroup of amyloid-related imaging abnormalities (ARIA). Because a definitive diagnosis requires a brain biopsy, knowledge of neuroimaging features and clinical findings in CAA-related inflammation is essential. This review provides neuroradiological hallmarks of the two groups of SS and give an overview of neurological symptoms and differential diagnostic considerations.
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Association between Serum Amyloid A Level and White Matter Hyperintensity Burden: a Cross-Sectional Analysis in Patients with Acute Ischemic Stroke. Neurol Ther 2022; 12:161-175. [PMID: 36374429 PMCID: PMC9837367 DOI: 10.1007/s40120-022-00415-y] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 10/17/2022] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION This work aimed to determine the potential link between white matter hyperintensity (WMH) burden and serum amyloid A (SAA) level in patients with acute ischemic stroke. METHODS Consecutive patients with acute large artery atherosclerosis (LAA) stroke between April 2021 and May 2022 were included. WMH volumes (periventricular, deep, and total) were measured using the Fazekas score and a semiautomated volumetric analysis on fluid-attenuated inversion recovery-magnetic resonance imaging. The burdens of WMH were scored to assess the dose-dependent association between SAA and WMH volume. Multivariate regression and a two-piecewise linear regression model were used to evaluate whether SAA levels are an independent predictor of WMH, and to discover the threshold effect or saturation effect of SAA levels with respect to WMH volume. RESULTS The mean age of patients was 63.2 ± 11.5 years, with 65.9% men. The median SAA level was 3.93 mg/L and the total WMH volume of 6.86 cm3. In the multivariable analysis, SAA remained an independent predictor of total WMH volume [β = 0.82, 95% confidence interval (CI) = 0.49-1.07, p < 0.001], periventricular WMH volume (adjusted β = 0.76, 95% CI = 0.46-1.07, p < 0.001), and deep WMH volume (adjusted β = 0.26, 95% CI = 0.06-0.45, p = 0.011) after controlling for confounders. Furthermore, SAA levels were associated with periventricular Fazekas score, deep Fazekas score, and Fazekas grades. Threshold effect and saturation effect analyses demonstrated a nonlinear relationship between SAA levels and periventricular white matter hyperintensity (PVWMH) volumes, with SAA levels (2.12-19.89 mg/L) having significant dose-dependent relationships with periventricular WMH volumes (adjusted β = 1.98, 95% CI = 1.12-2.84, p < 0.001). CONCLUSION SAA level ranging from 2.12 to 19.89 mg/L is dose-dependently associated with periventricular WMH development. These findings point the way forward for future research into the pathophysiology of WMH.
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Low A, Prats-Sedano MA, McKiernan E, Carter SF, Stefaniak JD, Nannoni S, Su L, Dounavi ME, Muniz-Terrera G, Ritchie K, Lawlor B, Naci L, Malhotra P, Mackay C, Koychev I, Ritchie CW, Markus HS, O’Brien JT. Modifiable and non-modifiable risk factors of dementia on midlife cerebral small vessel disease in cognitively healthy middle-aged adults: the PREVENT-Dementia study. Alzheimers Res Ther 2022; 14:154. [PMID: 36224605 PMCID: PMC9554984 DOI: 10.1186/s13195-022-01095-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 09/29/2022] [Indexed: 11/07/2022]
Abstract
Background Considerable overlap exists between the risk factors of dementia and cerebral small vessel disease (SVD). However, studies remain limited to older cohorts wherein pathologies of both dementia (e.g. amyloid) and SVD (e.g. white matter hyperintensities) already co-exist. In younger asymptomatic adults, we investigated differential associations and interactions of modifiable and non-modifiable inherited risk factors of (future) late-life dementia to (present-day) mid-life SVD. Methods Cognitively healthy middle-aged adults (aged 40–59; mean 51.2 years) underwent 3T MRI (n = 630) as part of the PREVENT-Dementia study. To assess SVD, we quantified white matter hyperintensities, enlarged perivascular spaces, microbleeds, lacunes, and computed composite scores of SVD burden and subtypes of hypertensive arteriopathy and cerebral amyloid angiopathy (CAA). Non-modifiable (inherited) risk factors were APOE4 status and parental family history of dementia. Modifiable risk factors were derived from the 2020 Lancet Commission on dementia prevention (early/midlife: education, hypertension, obesity, alcohol, hearing impairment, head injuries). Confirmatory factor analysis (CFA) was used to evaluate the latent variables of SVD and risk factors. Structural equation modelling (SEM) of the full structural assessed associations of SVD with risk factors and APOE4*risk interaction. Results In SEM, the latent variable of global SVD related to the latent variable of modifiable midlife risk SVD (β = 0.80, p = .009) but not non-modifiable inherited risk factors of APOE4 or family history of dementia. Interaction analysis demonstrated that the effect of modifiable risk on SVD was amplified in APOE4 non-carriers (β = − 0.31, p = .009), rather than carriers. These associations and interaction effects were observed in relation to the SVD subtype of hypertensive arteriopathy, rather than CAA. Sensitivity analyses using separate general linear models validated SEM results. Conclusions Established modifiable risk factors of future (late-life) dementia related to present-day (mid-life) SVD, suggesting that early lifestyle modifications could potentially reduce rates of vascular cognitive impairment attributed to SVD, a major ‘silent’ contributor to global dementia cases. This association was amplified in APOE4 non-carriers, suggesting that lifestyle modifications could be effective even in those with genetic predisposition to dementia. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-022-01095-4.
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Affiliation(s)
- Audrey Low
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK
| | - Maria A. Prats-Sedano
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK
| | - Elizabeth McKiernan
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK
| | - Stephen F. Carter
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK
| | - James D. Stefaniak
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK ,grid.5335.00000000121885934Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Stefania Nannoni
- grid.5335.00000000121885934Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Li Su
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK ,grid.11835.3e0000 0004 1936 9262Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Maria-Eleni Dounavi
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK
| | - Graciela Muniz-Terrera
- grid.4305.20000 0004 1936 7988Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK
| | - Karen Ritchie
- grid.4305.20000 0004 1936 7988Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK ,grid.457377.5INSERM, Montpellier, France
| | - Brian Lawlor
- grid.8217.c0000 0004 1936 9705Institute of Neuroscience, Trinity College Dublin, University of Dublin, Dublin, Ireland
| | - Lorina Naci
- grid.8217.c0000 0004 1936 9705Institute of Neuroscience, Trinity College Dublin, University of Dublin, Dublin, Ireland
| | - Paresh Malhotra
- grid.417895.60000 0001 0693 2181Division of Brain Science, Imperial College Healthcare NHS Trust, London, UK
| | - Clare Mackay
- grid.4991.50000 0004 1936 8948Department of Psychiatry, Oxford University, Oxford, UK
| | - Ivan Koychev
- grid.4991.50000 0004 1936 8948Department of Psychiatry, Oxford University, Oxford, UK
| | - Craig W. Ritchie
- grid.4305.20000 0004 1936 7988Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK
| | - Hugh S. Markus
- grid.5335.00000000121885934Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - John T. O’Brien
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK ,grid.450563.10000 0004 0412 9303Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
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Xu M, Wu Q, Cheng Y, Zhang S, Tao W, Zhang S, Wang D, Liu M, Wu B. Circle of Willis Morphology in Primary Intracerebral Hemorrhage. Transl Stroke Res 2022; 13:736-744. [PMID: 35184272 PMCID: PMC9391241 DOI: 10.1007/s12975-022-00997-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 01/21/2022] [Accepted: 02/09/2022] [Indexed: 11/26/2022]
Abstract
We aimed to study the distribution of Circle of Willis (CoW) morphology and its association with intracerebral hemorrhage (ICH) etiology and cerebral small vessel disease (CSVD) burden. Patients with primary ICH who had brain MRIs were consecutively enrolled between March 2012 and January 2021. CoW morphology, CSVD features and the combined CSVD burden (including global CSVD burden, total hypertensive arteriopathy [HA] burden, and total cerebral amyloid angiopathy [CAA] burden) were assessed. CoW morphology included poor CoW (defined as CoW score 0-2), incomplete CoW, and complete fetal-variant of the posterior communicating artery (CFPcoA). Among 296 patients enrolled, 215 were included in the analysis. There was no significant difference among HA-, CAA-, and mixed-ICH in each CoW morphology. Exploratory subgroup analyses suggested that poor CoW was associated with a greater incidence of HA-ICH and low incidence of mixed ICH in patients aged < 60 years, while mixed ICH occurred more frequently in patients with CFPcoA, especially in those without hypertension history (all p < 0.050). Additionally, incomplete CoW was correlated with a larger incidence of lacunes (adjusted OR [adOR] 2.114, 95% CI 1.062-4.207), microbleeds ≥ 5 (adOR 2.437, 95% CI 1.187-5.002), and therefore the combined CSVD burden (adOR 1.194, 95% CI 1.004-1.419 for global CSVD burden, adOR 1.343, 95% CI 1.056-1.707 for total CAA burden), independent of modifiable vascular risk factors, but not age and sex. The CoW might therefore have a potential impact on ICH etiology and is associated with a greater CSVD burden. Our findings are novel, and need to be verified in future studies.
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Affiliation(s)
- Mangmang Xu
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Qian Wu
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Yajun Cheng
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Shuting Zhang
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Wendan Tao
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Shihong Zhang
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Deren Wang
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Ming Liu
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Bo Wu
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
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Yang J, Jing J, Chen S, Liu X, Tang Y, Pan C, Tang Z. Changes in Cerebral Blood Flow and Diffusion-Weighted Imaging Lesions After Intracerebral Hemorrhage. Transl Stroke Res 2022; 13:686-706. [PMID: 35305264 DOI: 10.1007/s12975-022-00998-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 02/10/2022] [Accepted: 02/11/2022] [Indexed: 11/25/2022]
Abstract
Intracerebral hemorrhage (ICH) is a common subtype of stroke and places a great burden on the family and society with a high mortality and disability rate and a poor prognosis. Many findings from imaging and pathologic studies have suggested that cerebral ischemic lesions visualized on diffusion-weighted imaging (DWI) in patients with ICH are not rare and are generally considered to be associated with poor outcome, increased risk of recurrent (ischemic and hemorrhagic) stroke, cognitive impairment, and death. In this review, we describe the changes in cerebral blood flow (CBF) and DWI lesions after ICH and discuss the risk factors and possible mechanisms related to the occurrence of DWI lesions, such as cerebral microangiopathy, cerebral atherosclerosis, aggressive early blood pressure lowering, hyperglycemia, and inflammatory response. We also point out that a better understanding of cerebral DWI lesions will be a key step toward potential therapeutic interventions to improve long-term recovery for patients with ICH.
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Affiliation(s)
- Jingfei Yang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, NO, China
| | - Jie Jing
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, NO, China
| | - Shiling Chen
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, NO, China
| | - Xia Liu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, NO, China
| | - Yingxin Tang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, NO, China
| | - Chao Pan
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, NO, China.
| | - Zhouping Tang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, NO, China.
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Chen TB, Lee WJ, Chen JP, Chang SY, Lin CF, Chen HC. Imaging markers of cerebral amyloid angiopathy and hypertensive arteriopathy differentiate Alzheimer disease subtypes synergistically. Alzheimers Res Ther 2022; 14:141. [PMID: 36180874 PMCID: PMC9524061 DOI: 10.1186/s13195-022-01083-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 09/16/2022] [Indexed: 11/16/2022]
Abstract
Background Both cerebral amyloid angiopathy (CAA) and hypertensive arteriopathy (HA) are related to cognitive impairment and dementia. This study aimed to clarify CAA- and HA-related small vessel disease (SVD) imaging marker associations with cognitive dysfunction and Alzheimer disease (AD) subtypes. Methods A sample of 137 subjects with clinically diagnosed late-onset AD identified from the dementia registry of a single center from January 2017 to October 2021 were enrolled. Semi-quantitative imaging changes (visual rating scale grading) suggestive of SVD were analyzed singularly and compositely, and their correlations with cognitive domains and AD subtypes were examined. Results Patients with typical and limbic-predominant AD subtypes had worse cognitive performance and higher dementia severity than minimal-atrophy subtype patients. Deep white matter hyperintensity (WMH) presence correlated inversely with short-term memory (STM) performance. The three composite SVD scores correlated with different cognitive domains and had distinct associations with AD subtypes. After adjusting for relevant demographic factors, multivariate logistic regression (using minimal-atrophy subtype as the reference condition) revealed the following: associations of the typical subtype with periventricular WMH [odds ratio (OR) 2.62; 95% confidence interval (CI), 1.23–5.57, p = 0.012], global SVD score (OR 1.67; 95%CI, 1.11–2.52, p = 0.009), and HA-SVD score (OR 1.93; 95%CI, 1.10–3.52, p = 0.034); associations of limbic-predominant subtype with HA-SVD score (OR 2.57; 95%CI, 1.23–5.37, p = 0.012) and most global and domain-specific cognitive scores; and an association of hippocampal-sparing subtype with HA-SVD score (OR 3.30; 95%CI, 1.58–6.85, p = 0.001). Conclusion Composite SVD imaging markers reflect overall CAA and/or HA severity and may have differential associations with cognitive domains and AD subtypes. Our finding supports the possibility that the clinical AD subtypes may reflect differing burdens of underlying CAA and HA microangiopathologies. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-022-01083-8.
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Graff-Radford J, Rabinstein AA. Cerebral amyloid angiopathy criteria: the next generation. Lancet Neurol 2022; 21:674-676. [DOI: 10.1016/s1474-4422(22)00259-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 06/14/2022] [Accepted: 06/14/2022] [Indexed: 11/25/2022]
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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: 290] [Impact Index Per Article: 96.7] [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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Goeldlin M, Stewart C, Radojewski P, Wiest R, Seiffge D, Werring DJ. Clinical neuroimaging in intracerebral haemorrhage related to cerebral small vessel disease: contemporary practice and emerging concepts. Expert Rev Neurother 2022; 22:579-594. [PMID: 35850578 DOI: 10.1080/14737175.2022.2104157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION About 80% of all non-traumatic intracerebral haemorrhage (ICH) are caused by the sporadic cerebral small vessel diseases deep perforator arteriopathy (DPA, also termed hypertensive arteriopathy or arteriolosclerosis) and cerebral amyloid angiopathy (CAA), though these frequently co-exist in older people. Contemporary neuroimaging (MRI and CT) detects an increasing spectrum of haemorrhagic and non-haemorrhagic imaging biomarkers of small vessel disease which may identify the underlying arteriopathies. AREAS COVERED We discuss biomarkers for cerebral small vessel disease subtypes in ICH, and explore their implications for clinical practice and research. EXPERT OPINION ICH is not a single disease, but results from a defined range of vascular pathologies with important implications for prognosis and treatment. The terms "primary" and "hypertensive" ICH are poorly defined and should be avoided, as they encourage incomplete investigation and classification. Imaging-based criteria for CAA will show improved diagnostic accuracy, but specific imaging biomarkers of DPA are needed. Ultra-high-field 7T-MRI using structural and quantitative MRI may provide further insights into mechanisms and pathophysiology of small vessel disease. We expect neuroimaging biomarkers and classifications to allow personalized treatments (e.g. antithrombotic drugs) in clinical practice and to improve patient selection and monitoring in trials of targeted therapies directed at the underlying arteriopathies.
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Affiliation(s)
- Martina Goeldlin
- Department of Neurology, Inselspital Bern University Hospital and University of Bern, Bern, Switzerland.,Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Catriona Stewart
- Stroke Research Group, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Piotr Radojewski
- Institute of Diagnostic and Interventional Neuroradiology, Inselspital University Hospital Bern, Switzerland
| | - Roland Wiest
- Institute of Diagnostic and Interventional Neuroradiology, Inselspital University Hospital Bern, Switzerland
| | - David Seiffge
- Department of Neurology, Inselspital Bern University Hospital and University of Bern, Bern, Switzerland
| | - David J Werring
- Stroke Research Group, UCL Queen Square Institute of Neurology, London, United Kingdom
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Das AS, Regenhardt RW, Gokcal E, Horn MJ, Daoud N, Schwab KM, Rost NS, Viswanathan A, Kimberly WT, Goldstein JN, Biffi A, Schwamm LH, Rosand J, Greenberg SM, Gurol ME. Idiopathic primary intraventricular hemorrhage and cerebral small vessel disease. Int J Stroke 2022; 17:645-653. [PMID: 34427471 PMCID: PMC10947797 DOI: 10.1177/17474930211043957] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Although primary intraventricular hemorrhage is frequently due to trauma or vascular lesions, the etiology of idiopathic primary intraventricular hemorrhage (IP-IVH) is not defined. AIMS Herein, we test the hypothesis that cerebral small vessel diseases (cSVD) including hypertensive cSVD (HTN-cSVD) and cerebral amyloid angiopathy are associated with IP-IVH. METHODS Brain magnetic resonance imaging from consecutive patients (January 2011 to September 2019) with non-traumatic intracerebral hemorrhage from a single referral center were reviewed for the presence of HTN-cSVD (defined by strictly deep or mixed-location intracerebral hemorrhage/cerebral microbleeds) and cerebral amyloid angiopathy (applying modified Boston criteria). RESULTS Forty-six (4%) out of 1276 patients were identified as having IP-IVH. Among these, the mean age was 74.4 ± 12.2 years and 18 (39%) were females. Forty (87%) had hypertension, and the mean initial blood pressure was 169.2 ± 40.4/88.8 ± 22.2 mmHg. Of the 35 (76%) patients who received a brain magnetic resonance imaging, two (6%) fulfilled the modified Boston criteria for possible cerebral amyloid angiopathy and 10 (29%) for probable cerebral amyloid angiopathy. Probable cerebral amyloid angiopathy was found at a similar frequency when comparing IP-IVH patients to the remaining patients with primary intraparenchymal hemorrhage (P-IPH) (27%, p = 0.85). Furthermore, imaging evidence for HTN-cSVD was found in 8 (24%) patients with IP-IVH compared to 209 (28%, p = 0.52) patients with P-IPH. CONCLUSIONS Among IP-IVH patients, cerebral amyloid angiopathy was found in approximately one-third of patients, whereas HTN-cSVD was detected in 23%-both similar rates to P-IPH patients. Our results suggest that both cSVD subtypes may be associated with IP-IVH.
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Affiliation(s)
- Alvin S Das
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Robert W Regenhardt
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Elif Gokcal
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Mitchell J Horn
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Nader Daoud
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Kristin M Schwab
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Natalia S Rost
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Anand Viswanathan
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - W Taylor Kimberly
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Joshua N Goldstein
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Alessandro Biffi
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Lee H Schwamm
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jonathan Rosand
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Steven M Greenberg
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - M Edip Gurol
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Wang J, Zhou Y, He Y, Li Q, Zhang W, Luo Z, Xue R, Lou M. Impact of different white matter hyperintensities patterns on cognition: A cross-sectional and longitudinal study. Neuroimage Clin 2022; 34:102978. [PMID: 35255417 PMCID: PMC8897653 DOI: 10.1016/j.nicl.2022.102978] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 02/27/2022] [Accepted: 02/28/2022] [Indexed: 11/03/2022]
Abstract
OBJECTIVES White matter hyperintensities (WMH) are highly prevalent in older adults and considered to be a contributor to cognition impairment. However, the strategic WMH lesion distribution related to cognitive impairment is still debated. The aim of this study was to characterize the spatial patterns of WMH associated with cognitive impairment and explore its risk factors. METHODS We retrospectively analyzed patients who underwent T2 fluid attenuated inversion recovery (FLAIR) and mini-mental state examination (MMSE) in two centers. WHM was classified into four patterns based on T2 FLAIR as follows: (1) multiple subcortical spots (multi-spots); (2) peri-basal ganglia (peri-BG); (3) anterior subcortical patches (anterior SC patches); and (4) posterior subcortical patches (posterior SC patches). We cross-sectionally and longitudinally estimated associations between different WMH patterns and all-cause dementia and cognitive decline. Multivariable logistic regression analysis was followed to identify risk factors of WMH patterns related to cognitive impairment. RESULTS A total of 442 patients with WMH were enrolled, with average age of 71.6 ± 11.3 years, and MMSE score of 24.1 ± 5.4. Among them, 281 (63.6%), 66 (14.9%), 163 (36.9%) and 197 (44.6%) patients presented multi-spots, peri-BG, anterior SC patches and posterior SC patches, respectively. Patients with anterior SC patches were more likely to have all-cause dementia in cross-sectional study (OR 2.002; 95% CI 1.098-3.649; p = 0.024), and have cognitive decline in longitudinal analysis (OR 3.029; 95% CI 1.270-7.223; p = 0.012). Four patterns of WMH referred to different cognitive domains, and anterior SC patches had the most significant and extensive impact on cognition after Bonferroni multiple comparison correction (all p < 0.0125). In addition, older age (OR 1.054; 95% CI 1.027-1.082; p < 0.001), hypertension (OR 1.956; 95% CI 1.145-3.341; p = 0.014), higher percentage of neutrophils (OR 1.046; 95% CI 1.014-1.080; p = 0.005) and lower concentration of hemoglobin (OR 0.983; 95% CI 0.967-1.000; p = 0.044) were risk factors for the presence of anterior SC patches. CONCLUSIONS Different patterns of subcortical leukoaraiosis visually identified on MRI might have different impacts on cognitive impairment. Further studies should be undertaken to validate this simple visual classification of WMH in different population.
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Affiliation(s)
- Junjun Wang
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine. 88# Jiefang Road, Hangzhou, China; Department of Neurology, Zhejiang Hospital, #12 Lingyin Road, Hangzhou, China
| | - Ying Zhou
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine. 88# Jiefang Road, Hangzhou, China
| | - Yaode He
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine. 88# Jiefang Road, Hangzhou, China
| | - Qingqing Li
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine. 88# Jiefang Road, Hangzhou, China
| | - Wenhua Zhang
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine. 88# Jiefang Road, Hangzhou, China
| | - Zhongyu Luo
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine. 88# Jiefang Road, Hangzhou, China
| | - Rui Xue
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine. 88# Jiefang Road, Hangzhou, China
| | - Min Lou
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine. 88# Jiefang Road, Hangzhou, China.
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Neumann K, Günther M, Düzel E, Schreiber S. Microvascular Impairment in Patients With Cerebral Small Vessel Disease Assessed With Arterial Spin Labeling Magnetic Resonance Imaging: A Pilot Study. Front Aging Neurosci 2022; 14:871612. [PMID: 35663571 PMCID: PMC9161030 DOI: 10.3389/fnagi.2022.871612] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Abstract
In this pilot study, we investigated microvascular impairment in patients with cerebral small vessel disease (CSVD) using non-invasive arterial spin labeling (ASL) magnetic resonance imaging (MRI). This method enabled us to measure the perfusion parameters, cerebral blood flow (CBF), and arterial transit time (ATT), and the effective T1-relaxation time (T1eff) to research a novel approach of assessing perivascular clearance. CSVD severity was characterized using the Standards for Reporting Vascular Changes on Neuroimaging (STRIVE) and included a rating of white matter hyperintensities (WMHs), lacunes, enlarged perivascular spaces (EPVSs), and cerebral microbleeds (CMBs). Here, we found that CBF decreases and ATT increases with increasing CSVD severity in patients, most prominent for a white matter (WM) region-of-interest, whereas this relation was almost equally driven by WMHs, lacunes, EPVSs, and CMBs. Additionally, we observed a longer mean T1eff of gray matter and WM in patients with CSVD compared to elderly controls, providing an indication of impaired clearance in patients. Mainly T1eff of WM was associated with CSVD burden, whereas lobar lacunes and CMBs contributed primary to this relation compared to EPVSs of the centrum semiovale. Our results complement previous findings of CSVD-related hypoperfusion by the observation of retarded arterial blood arrival times in brain tissue and by an increased T1eff as potential indication of impaired clearance rates using ASL.
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Affiliation(s)
- Katja Neumann
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- *Correspondence: Katja Neumann
| | - Matthias Günther
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
- MR-Imaging and Spectroscopy, University of Bremen, Bremen, Germany
- mediri GmbH, Heidelberg, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom
- Center for Behavioral Brain Science, Magdeburg, Germany
| | - Stefanie Schreiber
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Center for Behavioral Brain Science, Magdeburg, Germany
- Department of Neurology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
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82
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Mahammedi A, Wang LL, Williamson BJ, Khatri P, Kissela B, Sawyer RP, Shatz R, Khandwala V, Vagal A. Small Vessel Disease, a Marker of Brain Health: What the Radiologist Needs to Know. AJNR Am J Neuroradiol 2022; 43:650-660. [PMID: 34620594 PMCID: PMC9089248 DOI: 10.3174/ajnr.a7302] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Accepted: 07/05/2021] [Indexed: 11/07/2022]
Abstract
Small vessel disease, a disorder of cerebral microvessels, is an expanding epidemic and a common cause of stroke and dementia. Despite being almost ubiquitous in brain imaging, the clinicoradiologic association of small vessel disease is weak, and the underlying pathogenesis is poorly understood. The STandards for ReportIng Vascular changes on nEuroimaging (STRIVE) criteria have standardized the nomenclature. These include white matter hyperintensities of presumed vascular origin, recent small subcortical infarcts, lacunes of presumed vascular origin, prominent perivascular spaces, cerebral microbleeds, superficial siderosis, cortical microinfarcts, and brain atrophy. Recently, the rigid categories among cognitive impairment, vascular dementia, stroke, and small vessel disease have become outdated, with a greater emphasis on brain health. Conventional and advanced small vessel disease imaging markers allow a comprehensive assessment of global brain heath. In this review, we discuss the pathophysiology of small vessel disease neuroimaging nomenclature by means of the STRIVE criteria, clinical implications, the role of advanced imaging, and future directions.
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Affiliation(s)
- A Mahammedi
- From the Departments of Neuroradiology (A.M., L.L.W., B.J.W., V.K., A.V.)
| | - L L Wang
- From the Departments of Neuroradiology (A.M., L.L.W., B.J.W., V.K., A.V.)
| | - B J Williamson
- From the Departments of Neuroradiology (A.M., L.L.W., B.J.W., V.K., A.V.)
| | - P Khatri
- Neurology (P.K., B.K., R.P.S., R.S.) University of Cincinnati Medical Center, Cincinnati, Ohio
| | - B Kissela
- Neurology (P.K., B.K., R.P.S., R.S.) University of Cincinnati Medical Center, Cincinnati, Ohio
| | - R P Sawyer
- Neurology (P.K., B.K., R.P.S., R.S.) University of Cincinnati Medical Center, Cincinnati, Ohio
| | - R Shatz
- Neurology (P.K., B.K., R.P.S., R.S.) University of Cincinnati Medical Center, Cincinnati, Ohio
| | - V Khandwala
- From the Departments of Neuroradiology (A.M., L.L.W., B.J.W., V.K., A.V.)
| | - A Vagal
- From the Departments of Neuroradiology (A.M., L.L.W., B.J.W., V.K., A.V.)
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83
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Low A, Prats-Sedano MA, Stefaniak JD, McKiernan EF, Carter SF, Douvani ME, Mak E, Su L, Stupart O, Muniz G, Ritchie K, Ritchie CW, Markus HS, O'Brien JT. CAIDE dementia risk score relates to severity and progression of cerebral small vessel disease in healthy midlife adults: the PREVENT-Dementia study. J Neurol Neurosurg Psychiatry 2022; 93:481-490. [PMID: 35135868 PMCID: PMC9016254 DOI: 10.1136/jnnp-2021-327462] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 12/27/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Markers of cerebrovascular disease are common in dementia, and may be present before dementia onset. However, their clinical relevance in midlife adults at risk of future dementia remains unclear. We investigated whether the Cardiovascular Risk Factors, Ageing and Dementia (CAIDE) risk score was associated with markers of cerebral small vessel disease (SVD), and if it predicted future progression of SVD. We also determined its relationship to systemic inflammation, which has been additionally implicated in dementia and SVD. METHODS Cognitively healthy midlife participants were assessed at baseline (n=185) and 2-year follow-up (n=158). To assess SVD, we quantified white matter hyperintensities (WMH), enlarged perivascular spaces (EPVS), microbleeds and lacunes. We derived composite scores of SVD burden, and subtypes of hypertensive arteriopathy and cerebral amyloid angiopathy. Inflammation was quantified using serum C-reactive protein (CRP) and fibrinogen. RESULTS At baseline, higher CAIDE scores were associated with all markers of SVD and inflammation. Longitudinally, CAIDE scores predicted greater total (p<0.001), periventricular (p<0.001) and deep (p=0.012) WMH progression, and increased CRP (p=0.017). Assessment of individual CAIDE components suggested that markers were driven by different risk factors (WMH/EPVS: age/hypertension, lacunes/deep microbleeds: hypertension/obesity). Interaction analyses demonstrated that higher CAIDE scores amplified the effect of age on SVD, and the effect of WMH on poorer memory. CONCLUSION Higher CAIDE scores, indicating greater risk of dementia, predicts future progression of both WMH and systemic inflammation. Findings highlight the CAIDE score's potential as both a prognostic and predictive marker in the context of cerebrovascular disease, identifying at-risk individuals who might benefit most from managing modifiable risk.
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Affiliation(s)
- Audrey Low
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Maria A Prats-Sedano
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - James D Stefaniak
- Division of Neuroscience and Experimental Psychology, The University of Manchester, Manchester, UK
- Department of Clinical Neurosciences, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | | | - Stephen F Carter
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Maria-Eleni Douvani
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Elijah Mak
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Li Su
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Department of Neuroscience, The University of Sheffield, Sheffield, UK
| | - Olivia Stupart
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Graciela Muniz
- Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK
| | - Karen Ritchie
- Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK
- INSERM, Montpellier, France
| | - Craig W Ritchie
- Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK
| | - Hugh S Markus
- Department of Clinical Neurosciences, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - John Tiernan O'Brien
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
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84
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Derraz I, Abdelrady M, Ahmed R, Gaillard N, Morganti R, Cagnazzo F, Dargazanli C, Lefevre PH, Riquelme C, Corti L, Gascou G, Mourand I, Arquizan C, Costalat V. Impact of White Matter Hyperintensity Burden on Outcome in Large-Vessel Occlusion Stroke. Radiology 2022; 304:145-152. [PMID: 35348382 DOI: 10.1148/radiol.210419] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background White matter hyperintensity (WMH) has been linked to poor clinical outcomes after acute ischemic stroke. Purpose To assess whether the WMH burden on pretreatment MRI scans is associated with an increased risk for symptomatic intracranial hemorrhage (sICH) or poor functional outcome in patients with acute ischemic stroke treated with endovascular thrombectomy (EVT). Materials and Methods In this retrospective study, consecutive patients treated with EVT for anterior circulation acute ischemic stroke at a comprehensive stroke center (where MRI was the first-line pretreatment imaging strategy; January 2015 to December 2017) were included and analyzed. WMH volumes were assessed with semiautomated volumetric analysis at fluid-attenuated inversion recovery MRI by readers who were blinded to clinical data. The associations of WMH burden with sICH and 3-month functional outcome (modified Rankin Scale [mRS] score) were assessed. Results A total of 366 patients were included (mean age, 69 years ± 19 [SD]; 188 women [51%]). Median total WMH volume was 3.61 cm3 (IQR, 1.10-10.83 cm3). Patients demonstrated higher mRS scores with increasing WMH volumes (odds ratio [OR], 1.020 [95% CI: 1.003, 1.037] per 1.0-cm3 increase for each mRS point increase; P = .018) after adjustment for patient and clinical variables. There were no significant associations between WMH severity and 90-day mortality (OR, 1.007 [95% CI: 0.990, 1.024]; P = .40) or the occurrence of sICH (OR, 1.001 [95% CI: 0.978, 1.024]; P = .94). Conclusion Higher white matter hyperintensity burden was associated with increased risk for poor 3-month functional outcome after endovascular thrombectomy for large-vessel occlusive stroke. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Mossa-Basha and Zhu in this issue.
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Affiliation(s)
- Imad Derraz
- From the Departments of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.H.L., C.R., G.G., V.C.) and Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, 80 Avenue Augustin Fliche, Montpellier 34295, France; and Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy (R.M.)
| | - Mohamed Abdelrady
- From the Departments of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.H.L., C.R., G.G., V.C.) and Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, 80 Avenue Augustin Fliche, Montpellier 34295, France; and Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy (R.M.)
| | - Raed Ahmed
- From the Departments of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.H.L., C.R., G.G., V.C.) and Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, 80 Avenue Augustin Fliche, Montpellier 34295, France; and Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy (R.M.)
| | - Nicolas Gaillard
- From the Departments of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.H.L., C.R., G.G., V.C.) and Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, 80 Avenue Augustin Fliche, Montpellier 34295, France; and Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy (R.M.)
| | - Riccardo Morganti
- From the Departments of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.H.L., C.R., G.G., V.C.) and Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, 80 Avenue Augustin Fliche, Montpellier 34295, France; and Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy (R.M.)
| | - Federico Cagnazzo
- From the Departments of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.H.L., C.R., G.G., V.C.) and Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, 80 Avenue Augustin Fliche, Montpellier 34295, France; and Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy (R.M.)
| | - Cyril Dargazanli
- From the Departments of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.H.L., C.R., G.G., V.C.) and Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, 80 Avenue Augustin Fliche, Montpellier 34295, France; and Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy (R.M.)
| | - Pierre-Henri Lefevre
- From the Departments of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.H.L., C.R., G.G., V.C.) and Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, 80 Avenue Augustin Fliche, Montpellier 34295, France; and Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy (R.M.)
| | - Carlos Riquelme
- From the Departments of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.H.L., C.R., G.G., V.C.) and Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, 80 Avenue Augustin Fliche, Montpellier 34295, France; and Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy (R.M.)
| | - Lucas Corti
- From the Departments of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.H.L., C.R., G.G., V.C.) and Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, 80 Avenue Augustin Fliche, Montpellier 34295, France; and Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy (R.M.)
| | - Grégory Gascou
- From the Departments of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.H.L., C.R., G.G., V.C.) and Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, 80 Avenue Augustin Fliche, Montpellier 34295, France; and Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy (R.M.)
| | - Isabelle Mourand
- From the Departments of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.H.L., C.R., G.G., V.C.) and Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, 80 Avenue Augustin Fliche, Montpellier 34295, France; and Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy (R.M.)
| | - Caroline Arquizan
- From the Departments of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.H.L., C.R., G.G., V.C.) and Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, 80 Avenue Augustin Fliche, Montpellier 34295, France; and Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy (R.M.)
| | - Vincent Costalat
- From the Departments of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.H.L., C.R., G.G., V.C.) and Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, 80 Avenue Augustin Fliche, Montpellier 34295, France; and Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy (R.M.)
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Schwarz G, Banerjee G, Hostettler IC, Ambler G, Seiffge DJ, Brookes TS, Wilson D, Cohen H, Yousry T, Salman RAS, Lip GYH, Brown MM, Muir KW, Houlden H, Jäger R, Werring DJ, Staals J. Magnetic resonance imaging-based scores of small vessel diseases: Associations with intracerebral haemorrhage location. J Neurol Sci 2022; 434:120165. [PMID: 35121207 DOI: 10.1016/j.jns.2022.120165] [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: 08/08/2021] [Revised: 12/20/2021] [Accepted: 01/18/2022] [Indexed: 11/18/2022]
Abstract
INTRODUCTION Total small vessel disease (SVD) score and cerebral amyloid angiopathy (CAA) score are magnetic resonance imaging-based composite scores built to preferentially capture deep perforator arteriopathy-related and CAA-related SVD burden, respectively. Non-lobar intracerebral haemorrhage (ICH) is related to deep perforator arteriopathy, while lobar ICH can be associated with deep perforator arteriopathy or CAA; however, the associations between ICH location and these scores are not established. METHODS In this post-hoc analysis from a prospective cohort study, we included 153 spontaneous non-cerebellar ICH patients. Wald test, univariable and multivariable logistic regression analysis were performed to investigate the association between each score (and individual score components) and ICH location. RESULTS Total SVD score was associated with non-lobar ICH location (Wald test: unadjusted, p = 0.017; adjusted, p = 0.003); however, no individual component of total SVD score was significantly associated with non-lobar ICH. CAA score was not significantly associated with lobar location (Wald test: unadjusted, p = 0.056; adjusted, p = 0.126); cortical superficial siderosis (OR 8.85 [95%CI 1.23-63.65], p = 0.030) and ≥ 2 strictly lobar microbleeds (OR 1.63 [95%CI 1.04-2.55], p = 0.035) were related with lobar ICH location, while white matter hyperintensities showed an inverse relation (OR 0.53 [95%CI 0.26-1.08; p = 0.081]). CONCLUSIONS Total SVD score was associated with non-lobar ICH location. The lack of significant association between CAA score and lobar ICH may in part be due to the mixed aetiology of lobar ICH, and to the inclusion of white matter hyperintensities, a non-specific marker of SVD type, in the CAA score.
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Affiliation(s)
- Ghil Schwarz
- Stroke Research Centre, University College London, Institute of Neurology, London, UK; Neurologia and Stroke Unit ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Gargi Banerjee
- Stroke Research Centre, University College London, Institute of Neurology, London, UK
| | - Isabel Charlotte Hostettler
- Stroke Research Centre, University College London, Institute of Neurology, London, UK; Department of Neurosurgery, Cantonal Hospital St. Gallen, Switzerland
| | - Gareth Ambler
- Department of Statistical Science, University College London, London, UK
| | - David J Seiffge
- Stroke Research Centre, University College London, Institute of Neurology, London, UK; Department of Neurology and Stroke Center, Inselspital, Bern, Switzerland
| | - Tenzin S Brookes
- Stroke Research Centre, University College London, Institute of Neurology, London, UK
| | - Duncan Wilson
- Stroke Research Centre, University College London, Institute of Neurology, London, UK; New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Hannah Cohen
- Haemostasis Research Unit, Department of Haematology, University College London, London, UK
| | - Tarek Yousry
- Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, Queen Square, London, UK
| | - Rustam Al-Shahi Salman
- Centre for Clinical Brain Sciences, School of Clinical Sciences, University of Edinburgh, Edinburgh, UK
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, UK; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Martin M Brown
- Stroke Research Centre, University College London, Institute of Neurology, London, UK
| | - Keith W Muir
- Institute of Neuroscience & Psychology, University of Glasgow, Queen Elizabeth University Hospital, Glasgow, UK
| | - Henry Houlden
- Department of Molecular Neuroscience, UCL Institute of Neurology and the National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Rolf Jäger
- Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, Queen Square, London, UK
| | - David J Werring
- Stroke Research Centre, University College London, Institute of Neurology, London, UK
| | - Julie Staals
- Department of Neurology and School for Cardiovascular Diseases (CARIM), Maastricht University Medical Centre, Maastricht, the Netherlands.
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Malhotra K, Theodorou A, Katsanos AH, Zompola C, Shoamanesh A, Boviatsis E, Paraskevas GP, Spilioti M, Cordonnier C, Werring DJ, Alexandrov AV, Tsivgoulis G. Prevalence of Clinical and Neuroimaging Markers in Cerebral Amyloid Angiopathy: A Systematic Review and Meta-Analysis. Stroke 2022; 53:1944-1953. [PMID: 35264008 DOI: 10.1161/strokeaha.121.035836] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Limited data exist regarding the prevalence of clinical and neuroimaging manifestations among patients diagnosed with cerebral amyloid angiopathy (CAA). We sought to determine the prevalence of clinical phenotypes and radiological markers in patients with CAA. METHODS Systematic review and meta-analysis of studies including patients with CAA was conducted to primarily assess the prevalence of clinical phenotypes and neuroimaging markers as available in the included studies. Sensitivity analyses were performed based on the (1) retrospective or prospective study design and (2) probable or unspecified CAA status. We pooled the prevalence rates using random-effects models and assessed the heterogeneity using the Cochran Q and I2 statistics. RESULTS We identified 12 prospective and 34 retrospective studies including 7159 patients with CAA. The pooled prevalence rates were cerebral microbleeds (52% [95% CI, 43%-60%]; I2=93%), cortical superficial siderosis (49% [95% CI, 38%-59%]; I2=95%), dementia or mild cognitive impairment (50% [95% CI, 35%-65%]; I2=97%), intracerebral hemorrhage (ICH; 44% [95% CI, 27%-61%]; I2=98%), transient focal neurological episodes (48%; 10 studies [95% CI, 29%-67%]; I2=97%), lacunar infarcts (30% [95% CI, 25%-36%]; I2=78%), high grades of perivascular spaces located in centrum semiovale (56% [95% CI, 44%-67%]; I2=88%) and basal ganglia (21% [95% CI, 2%-51%]; I2=98%), and white matter hyperintensities with moderate or severe Fazekas score (53% [95% CI, 40%-65%]; I2=91%). The only neuroimaging marker that was associated with higher odds of recurrent ICH was cortical superficial siderosis (odds ratio, 1.57 [95% CI, 1.01-2.46]; I2=47%). Sensitivity analyses demonstrated a higher prevalence of ICH (53% versus 16%; P=0.03) and transient focal neurological episodes (57% versus 17%; P=0.03) among retrospective studies compared with prospective studies. No difference was documented between the prevalence rates based on the CAA status. CONCLUSIONS Approximately one-half of hospital-based cohort of CAA patients was observed to have cerebral microbleeds, cortical superficial siderosis, mild cognitive impairment, dementia, ICH, or transient focal neurological episodes. Cortical superficial siderosis was the only neuroimaging marker that was associated with higher odds of ICH recurrence. Future population-based studies among well-defined CAA cohorts are warranted to corroborate our findings.
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Affiliation(s)
- Konark Malhotra
- Department of Neurology, Allegheny Health Network, Pittsburgh, PA (K.M.)
| | - Aikaterini Theodorou
- Second Department of Neurology, National and Kapodistrian University of Athens, "Attikon" University Hospital, Greece. (A.T., A.H.K., C.Z., G.P.P., G.T.)
| | - Aristeidis H Katsanos
- Second Department of Neurology, National and Kapodistrian University of Athens, "Attikon" University Hospital, Greece. (A.T., A.H.K., C.Z., G.P.P., G.T.).,Department of Neurology, McMaster University/Population Health Research Institute, Hamilton, Canada (A.H.K., A.S.)
| | - Christina Zompola
- Second Department of Neurology, National and Kapodistrian University of Athens, "Attikon" University Hospital, Greece. (A.T., A.H.K., C.Z., G.P.P., G.T.)
| | - Ashkan Shoamanesh
- Department of Neurology, McMaster University/Population Health Research Institute, Hamilton, Canada (A.H.K., A.S.)
| | - Efstathios Boviatsis
- Department of Neurosurgery, National and Kapodistrian University of Athens, "Attikon" University Hospital, Greece. (E.B.)
| | - George P Paraskevas
- Second Department of Neurology, National and Kapodistrian University of Athens, "Attikon" University Hospital, Greece. (A.T., A.H.K., C.Z., G.P.P., G.T.)
| | - Martha Spilioti
- First Department of Neurology, AHEPA General Hospital, Aristotle University of Thessaloniki, Greece (M.S.)
| | - Charlotte Cordonnier
- University Lille, Inserm, CHU Lille, U1172, LilNCog, Lille Neuroscience and Cognition, France (C.C.)
| | - David J Werring
- Stroke Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom (D.J.W.)
| | - Andrei V Alexandrov
- Department of Neurology, University of Tennessee Health Science Center, Memphis (A.V.A., G.T.)
| | - Georgios Tsivgoulis
- Second Department of Neurology, National and Kapodistrian University of Athens, "Attikon" University Hospital, Greece. (A.T., A.H.K., C.Z., G.P.P., G.T.).,Department of Neurology, University of Tennessee Health Science Center, Memphis (A.V.A., G.T.)
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87
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Evaluation of clinical relevance and underlying pathology for hemodynamic compromise in acute small subcortical infarction using MRI-based neuroimaging markers. Biomed J 2022; 46:100529. [PMID: 35367449 DOI: 10.1016/j.bj.2022.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 03/12/2022] [Accepted: 03/23/2022] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Hemodynamic compromise has been observed in patients with acute small subcortical infarction (SSI), and it may play a critical role in the development of early neurological deterioration (END). This study aimed to evaluate the clinical relevance and underlying pathology of hemodynamic compromise in SSI using MRI-based neuroimaging markers. METHODS We retrospectively analyzed data and imaging of previous prospective studies. Patients with acute SSI in penetrating artery territories were recruited, all of whom underwent perfusion MRI within 24 h of stroke onset. We examined the relationships among perfusion defects and neuroimaging markers of small vessel disease, including white matter hyperintensities, cerebral microbleeds, enlarged perivascular spaces (EPVSs) and lacunes. RESULTS One hundred and seven patients were recruited, of whom 21 (19.6%) had END and 55 (51.4%) had visible perfusion defects. Patients with perfusion defects were associated with a higher rate of END (34.5% vs. 3.8%; p < 0.001), higher initial National Institutes of Health Stroke Scale scores (5.4 vs. 3.4, p < 0.001), higher rate of branch atheromatous disease (61.8% vs. 34.6%, p = 0.005) and higher rate of poor outcome at 3 months (40.0% vs. 5.4%; p = 0.005). In multiple logistic regression, perfusion defects were significantly associated with basal ganglia EPVS scores (adjusted odds ratio [aOR]: 3.93; 95% confidence interval [CI]: 1.76-8.77; p = 0.001) and branch atheromatous disease (aOR: 2.64; 95% CI: 1.06-6.60; p = 0.037). CONCLUSION Hemodynamic compromise in acute SSI was highly related to the development of END, basal ganglia EPVS and branch atheromatous disease, suggesting the correlation with underlying pathologies of hypertensive arteriopathy and atherosclerosis.
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88
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Tu MC, Chung HW, Hsu YH, Yang JJ, Wu WC. Stage-Dependent Cerebral Blood Flow and Leukoaraiosis Couplings in Subcortical Ischemic Vascular Disease and Alzheimer's Disease. J Alzheimers Dis 2022; 86:729-739. [PMID: 35124651 PMCID: PMC9028753 DOI: 10.3233/jad-215405] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Background: Alzheimer’s disease (AD) and subcortical ischemic vascular disease (SIVD) have both been associated with white matter hyperintensities (WMHs) and altered cerebral blood flow (CBF) although the etiology of AD is still unclear. Objective: To test the hypothesis that CBF and WMHs have differential effects on cognition and that the relationship between CBF and WMHs changes with the subtypes and stages of dementia. Methods: Forty-two patients with SIVD, 50 patients with clinically-diagnosed AD, and 30 cognitively-normal subjects were included. Based on the Clinical Dementia Rating (CDR), the patients were dichotomized into early-stage (CDR = 0.5) and late-stage (CDR = 1 or 2) groups. CBF and WMH metrics were derived from magnetic resonance imaging and correlated with cognition. Results: Hierarchical linear regression revealed that CBF metrics had distinct contribution to global cognition, memory, and attention, whereas WMH metrics had distinct contribution to executive function (all p < 0.05). In SIVD, the WMHs in frontotemporal areas correlated with the CBF in bilateral thalami at the early stage; the correlation then became between the WMHs in basal ganglia and the CBF in frontotemporal areas at the late stage. A similar corticosubcortical coupling was observed in AD but involved fewer areas. Conclusion: A stage-dependent coupling between CBF and WMHs was identified in AD and SIVD, where the extent of cortical WMHs correlated with subcortical CBF for CDR = 0.5, whereas the extent of subcortical WMHs correlated with cortical CBF for CDR = 1–2.
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Affiliation(s)
- Min-Chien Tu
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.,Department of Neurology, Taichung Tzu Chi Hospital, Taichung, Taiwan.,Department of Neurology, Tzu Chi University, Hualien, Taiwan
| | - Hsiao-Wen Chung
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan
| | - Yen-Hsuan Hsu
- Department of Psychology, National Chung Cheng University, Chiayi, Taiwan.,Center for Innovative Research on Aging Society, National Chung Cheng University, Chiayi, Taiwan
| | - Jir-Jei Yang
- Department of Radiology, Taichung Tzu Chi Hospital, Taichung, Taiwan
| | - Wen-Chau Wu
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.,Institute of Medical Device and Imaging, National Taiwan University, Taipei, Taiwan
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89
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Li Y, Kalpouzos G, Laukka EJ, Dekhtyar S, Bäckman L, Fratiglioni L, Qiu C. Progression of neuroimaging markers of cerebral small vessel disease in older adults: a 6-year follow-up study. Neurobiol Aging 2022; 112:204-211. [DOI: 10.1016/j.neurobiolaging.2022.01.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 12/29/2021] [Accepted: 01/22/2022] [Indexed: 12/18/2022]
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90
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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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91
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Garg A, Ortega-Gutierrez S, Farooqui M, Nagaraja N. Recurrent intracerebral hemorrhage in patients with cerebral amyloid angiopathy: a propensity-matched case-control study. J Neurol 2022; 269:2200-2205. [PMID: 35037138 DOI: 10.1007/s00415-021-10937-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 12/09/2021] [Accepted: 12/10/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Cerebral amyloid angiopathy (CAA) can present with intracerebral hemorrhage (ICH), convexity subarachnoid hemorrhage (SAH), and rarely acute ischemic stroke (AIS). The objective of our study was to compare the readmission rates for recurrent ICH, SAH, and AIS among patients admitted for ICH with and without CAA. METHODS Using the National Readmissions Database 2016-2018 we identified patients admitted for ICH with and without a concomitant diagnosis of CAA. Primary outcome of the study was readmission due to ICH. Secondary outcomes included readmissions due to AIS and SAH. Survival analysis was performed, and Kaplan-Meier curves were created to assess for readmissions. RESULTS The study consisted of 194,290 patients with ICH, 8247 with CAA and 186,043 without CAA as a concomitant diagnosis. After propensity matching, we identified 7857 hospitalizations with CAA and 7874 without CAA. Patients with CAA had higher risk of readmission due to ICH as compared to those without CAA [hazards ratio (HR) 3.44, 95% confidence interval (CI) 2.55-4.64, P < 0.001] during the mean follow-up period of 181.4 (SD ± 106.4) days. Patients with CAA were also more likely to be readmitted due to SAH (HR 2.52, 95% CI 1.18-5.37, P 0.017) but not due to AIS (HR 0.74, 95% CI 0.54-1.01, P 0.061). Age (HR 0.96 per year increase in age, 95% CI 0.94-0.98, P < 0.001) and Medicare payer (HR 3.31; 95% CI 1.89-5.78, P < 0.001) were independently associated with readmissions due to ICH. DISCUSSION Patients admitted for ICH with a concomitant diagnosis of CAA are three times more likely to have readmissions for recurrent ICH compared to patients without CAA.
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Affiliation(s)
- Aayushi Garg
- Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - Santiago Ortega-Gutierrez
- Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
- Department of Neurosurgery, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
- Department of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - Mudassir Farooqui
- Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - Nandakumar Nagaraja
- Department of Neurology, Penn State Health Milton S. Hershey Medical Center, 30 Hope Drive Suite 2800, PO Box 859, Hershey, PA, 17033, USA.
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92
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Liang C, Wang J, Feng M, Zhang N, Guo L. White matter changes, duration of hypertension, and age are associated with cerebral microbleeds in patients with different stages of hypertension. Quant Imaging Med Surg 2022; 12:119-130. [PMID: 34993065 DOI: 10.21037/qims-21-28] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 05/31/2021] [Indexed: 01/16/2023]
Abstract
BACKGROUND We aimed to investigate risk factors for the presence and number of cerebral microbleeds (CMBs) in patients with different stages of hypertension stages, with an emphasis on the relationship between white matter changes (WMCs) and CMBs. METHODS Since 2016, participants aged 40 years or more have been evaluated for the presence of CMBs using enhanced 3D multiecho GE T2*-weighted angiography (ESWAN) sequences. The Mann-Whitney U test and Pearson χ2 test were used to compare the clinical characteristics between the CMB and no-CMB patient groups. Furthermore, we used Spearman's rank correlation analysis to examine the associations between the degree of CMB severity and other important factors. RESULTS CMBs were detected in 110 (36.7%) of 300 participants. Among patients with stage 2 hypertension, the majority also had CMBs (61.8%, 68/110). CMBs were positively correlated with age, hypertension stage, duration of hypertension, WMCs, and silent cerebral infarction. Patients with grade 3 WMCs were significantly more likely to have CMBs than those without WMCs; this association was true for both patients with stage 1 and those with stage 2 hypertension. In patients with stage 1 or stage 2 hypertension lasting longer than 20 years, the majority had CMBs (69.0%, 29/42; 69.1%, 47/68). The results of binary logistic regression indicated that a more severe hypertension stage, longer duration of hypertension, aging, having silent cerebral infarction and higher values of WMC increase the likelihood of the occurrence of CMBs. CONCLUSIONS CMBs detected in hypertensive patients were more likely to occur in deep structures, and the grade of WMCs and duration of hypertension were more closely associated with the CMB degree than with age.
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Affiliation(s)
- Changhu Liang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Jing Wang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Mengmeng Feng
- Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Nan Zhang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Lingfei Guo
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
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Schilter M, Epstein A, Vynckier J, Mujanovic A, Belachew NF, Beyeler M, Siepen B, Goeldlin M, Scutelnic A, Seiffge DJ, Jung S, Gralla J, Dobrocky T, Arnold M, Kaesmacher J, Fischer U, Meinel TR. Chronic cerebral infarctions and white matter lesions link to long-term survival after a first ischemic event: A cohort study. J Neuroimaging 2022; 32:1134-1141. [PMID: 35922890 PMCID: PMC9804158 DOI: 10.1111/jon.13033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 07/15/2022] [Accepted: 07/23/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND AND PURPOSE To investigate the association of different phenotypes, count, and locations of chronic covert brain infarctions (CBI) with long-term mortality in patients with first-ever manifest acute ischemic stroke (AIS) or transient ischemic attack (TIA). Additionally, to analyze their potential interaction with white matter hyperintensities (WMH) and predictive value in addition to established mortality scores. METHODS Single-center cohort study including consecutive patients with first-ever AIS or TIA with available MRI imaging from January 2015 to December 2017. Blinded raters adjudicated CBI phenotypes and WMH (age-related white matter changes score) according to established definitions. We compared Cox regression models including prespecified established predictors of mortality using Harrell's C and likelihood ratio tests. RESULTS A total of 2236 patients (median [interquartile range] age: 71 [59-80] years, 43% female, National Institutes of Health Stroke Scale: 2 [1-6], median follow-up: 1436 days, 21% death during follow-up) were included. Increasing WMH (per point adjusted Hazard Ratio [aHR] = 1.29 [1.14-1.45]), but not CBI (aHR = 1.21 [0.99-1.49]), were independently associated with mortality. Neither CBI phenotype, count, nor location was associated with mortality and there was no multiplicative interaction between CBI and WMH (p > .1). As compared to patients without CBI or WMH, patients with moderate or severe WMH and additional CBI had the highest hazards of death (aHR = 1.62 [1.23-2.13]). The Cox regression model including CBI and WMH had a small but significant increment in Harrell's C when compared to the model including 14 clinical variables (0.831 vs. 0.827, p < .001). DISCUSSION WMH represent a strong surrogate biomarker of long-term mortality in first-ever manifest AIS or TIA patients. CBI phenotypes, count, and location seem less relevant. Incorporation of CBI and WMH slightly improves predictive capacity of established risk scores.
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Affiliation(s)
- Marina Schilter
- Department of Neurology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - Alessandra Epstein
- Department of Neurology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - Jan Vynckier
- Department of Neurology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - Adnan Mujanovic
- Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - Nebiyat Filate Belachew
- Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - Morin Beyeler
- Department of Neurology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - Bernhard Siepen
- Department of Neurology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - Martina Goeldlin
- Department of Neurology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - Adrian Scutelnic
- Department of Neurology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - David Julian Seiffge
- Department of Neurology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - Simon Jung
- Department of Neurology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - Jan Gralla
- Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - Tomas Dobrocky
- Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - Marcel Arnold
- Department of Neurology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - Johannes Kaesmacher
- Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - Urs Fischer
- Department of NeurologyBasel University Hospital, University of BaselBernSwitzerland
| | - Thomas Raphael Meinel
- Department of Neurology, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
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94
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Lin CY, Jhan SR, Lee WJ, Chen PL, Chen JP, Chen HC, Chen TB. Imaging Markers of Subcortical Vascular Dementia in Patients With Multiple-Lobar Cerebral Microbleeds. Front Neurol 2021; 12:747536. [PMID: 34867731 PMCID: PMC8636110 DOI: 10.3389/fneur.2021.747536] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 10/08/2021] [Indexed: 01/16/2023] Open
Abstract
Background and Purpose: Small vessel disease (SVD) imaging markers are related to ischemic and hemorrhage stroke and to cognitive dysfunction. This study aimed to clarify the relationship between SVD imaging markers and subcortical vascular dementia in severe SVD burden. Methods: A total of 57 subjects with multiple lobar cerebral microbleeds (CMBs) and four established SVD imaging markers were enrolled from the dementia and stroke registries of a single center. Visual rating scales that are used to semi-quantify SVD imaging changes were analyzed individually and compositely to make correlations with cognitive domains and subcortical vascular dementia. Results: Dementia group had higher subcortical and total white matter hyperintensities (WMHs) and SVD composite scores than non-dementia group. Individual imaging markers correlated differently with one another and had distinct cognitive correlations. After adjusting for demographic factors, multivariate logistic regression indicated associations of subcortical WMHs (odds ratio [OR] 2.03, CI 1.24–3.32), total WMHs (OR 1.43, CI 1.09–1.89), lacunes (OR 1.18, CI 1.02–1.35), cerebral amyloid angiopathy-SVD scores (OR 2.33, CI 1.01–5.40), C1 scores (imaging composite scores of CMB and WMH) (OR 1.41, CI 1.09–1.83), and C2 scores (imaging composite scores of CMB, WMH, perivascular space, and lacune) (OR 1.38, CI 1.08–1.76) with dementia. Conclusions: SVD imaging markers might have differing associations with cognitive domains and dementia. They may provide valuable complementary information in support of personalized treatment planning against cognitive impairment, particularly in patients with a heavy SVD load.
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Affiliation(s)
- Chia-Yen Lin
- Department of Neurology, Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Song-Ru Jhan
- Division of Neuroradiology, Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wei-Ju Lee
- Department of Neurology, Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan.,Dementia Center, Taichung Veterans General Hospital, Taichung, Taiwan.,School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
| | - Po-Lin Chen
- Department of Neurology, Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan.,School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
| | - Jun-Peng Chen
- Biostatistics Task Force of Taichung Veterans General Hospital, Taichung, Taiwan
| | - Hung-Chieh Chen
- Division of Neuroradiology, Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan.,School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
| | - Ting-Bin Chen
- Department of Neurology, Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan.,Dementia Center, Taichung Veterans General Hospital, Taichung, Taiwan.,Department of Applied Cosmetology, Hungkuang University, Taichung, Taiwan
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95
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Gireud-Goss M, Mack AF, McCullough LD, Urayama A. Cerebral Amyloid Angiopathy and Blood-Brain Barrier Dysfunction. Neuroscientist 2021; 27:668-684. [PMID: 33238806 PMCID: PMC9853919 DOI: 10.1177/1073858420954811] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Cerebral hemorrhage, a devastating subtype of stroke, is often caused by hypertension and cerebral amyloid angiopathy (CAA). Pathological evidence of CAA is detected in approximately half of all individuals over the age of 70 and is associated with cortical microinfarcts and cognitive impairment. The underlying pathophysiology of CAA is characterized by accumulation of pathogenic amyloid β (Aβ) fragments of amyloid precursor protein in the cerebral vasculature. Vascular deposition of Aβ damages the vessel wall, results in blood-brain barrier (BBB) leakiness, vessel occlusion or rupture, and leads to hemorrhages and decreased cerebral blood flow that negatively affects vessel integrity and cognitive function. Currently, the main hypothesis surrounding the mechanism of CAA pathogenesis is that there is an impaired clearance of Aβ peptides, which includes compromised perivascular drainage as well as dysfunction of BBB transport. Also, the immune response in CAA pathogenesis plays an important role. Therefore, the mechanism by which Aβ vascular deposition occurs is crucial for our understanding of CAA pathogenesis and for the development of potential therapeutic options.
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Affiliation(s)
- Monica Gireud-Goss
- Department of Neurology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Alexis F. Mack
- Department of Neurology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Louise D. McCullough
- Department of Neurology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Akihiko Urayama
- Department of Neurology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
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96
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Wu X, Ya J, Zhou D, Ding Y, Ji X, Meng R. Pathogeneses and Imaging Features of Cerebral White Matter Lesions of Vascular Origins. Aging Dis 2021; 12:2031-2051. [PMID: 34881084 PMCID: PMC8612616 DOI: 10.14336/ad.2021.0414] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 04/14/2021] [Indexed: 01/10/2023] Open
Abstract
White matter lesion (WML), also known as white matter hyperintensities or leukoaraiosis, was first termed in 1986 to describe the hyperintense signals on T2-weighted imaging (T2WI) and fluid-attenuated inversion recovery (FLAIR) maps. Over the past decades, a growing body of pathophysiological findings regarding WMLs have been discovered and discussed. Currently, the generally accepted WML pathogeneses mainly include hypoxia-ischemia, endothelial dysfunction, blood-brain barrier disruption, and infiltration of inflammatory mediators or cytokines. However, none of them can explain the whole dynamics of WML formation. Herein, we primarily focus on the pathogeneses and neuroimaging features of vascular WMLs. To achieve this goal, we searched papers with any type published in PubMed from 1950 to 2020 and cross-referenced the keywords including "leukoencephalopathy", "leukoaraiosis", "white matter hyperintensity", "white matter lesion", "pathogenesis", "pathology", "pathophysiology", and "neuroimaging". Moreover, references of the selected articles were browsed and searched for additional pertinent articles. We believe this work will supply the robust references for clinicians to further understand the different WML patterns of varying vascular etiologies and thus make customized treatment.
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Affiliation(s)
- Xiaoqin Wu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
- Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.
- Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China.
| | - Jingyuan Ya
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
- Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.
- Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China.
- Division of Clinical Neuroscience, Queen's Medical Center School of Medicine, the University of Nottingham, Nottingham NG7 2UH, UK.
| | - Da Zhou
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
- Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.
- Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China.
| | - Yuchuan Ding
- Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China.
- Department of Neurosurgery, Wayne State University School of Medicine, Detroit, Michigan 48201, USA
| | - Xunming Ji
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
- Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.
- Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China.
| | - Ran Meng
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
- Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.
- Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China.
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97
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Smirnov M, Destrieux C, Maldonado IL. Cerebral white matter vasculature: still uncharted? Brain 2021; 144:3561-3575. [PMID: 34718425 DOI: 10.1093/brain/awab273] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 06/17/2021] [Accepted: 07/11/2021] [Indexed: 11/14/2022] Open
Abstract
White matter vasculature plays a major role in the pathophysiology of permanent neurological deficits following a stroke or progressive cognitive alteration related to small vessel disease. Thus, knowledge of the complex vascularization and functional aspects of the deep white matter territories is paramount to comprehend clinical manifestations of brain ischemia. This review provides a structured presentation of the existing knowledge of the vascularization of the human cerebral white matter from seminal historical studies to the current literature. First, we revisit the highlights of prenatal development of the endoparenchymal telencephalic vascular system that are crucial for the understanding of vessel organization in the adult. Second, we reveal the tangled history of debates on the existence, clinical significance, and physiological role of leptomeningeal anastomoses. Then, we present how conceptions on white matter vascularization transitioned from the mixed ventriculopetal/ventriculofugal theory, in which a low-flow area was interposed in between concurrent arterial flows, to the purely ventriculopetal theory. The latter model explains variable white matter sensitivity to ischemia by various organizations of ventriculopetal vessel terminals having different origin/length properties and interconnection patterns. Next, arteries supplying primarily the white matter are described according to their length and overall structure. Furthermore, the known distribution territories, to date, are studied in relation to primary anatomical structures of the human cerebral white matter, emphasizing the sparsity of the "ground-truth" data available in the literature. Finally, the implications for both large vessel occlusion and chronic small vessel disease are discussed, as well as the insights from neuroimaging. All things considered, we identify the need for further research on deep white matter vascularization, especially regarding the arterial supply of white matter fiber tracts.
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Affiliation(s)
- Mykyta Smirnov
- UMR 1253, iBrain, Université de Tours, Inserm, Tours, France
| | - Christophe Destrieux
- UMR 1253, iBrain, Université de Tours, Inserm, Tours, France.,CHRU de Tours, Tours, France
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98
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Perfusion Defects and Collateral Flow Patterns in Acute Small Subcortical Infarction: a 4D Dynamic MRI Study. Transl Stroke Res 2021; 13:399-409. [PMID: 34648143 PMCID: PMC9046333 DOI: 10.1007/s12975-021-00953-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 08/09/2021] [Accepted: 10/06/2021] [Indexed: 11/27/2022]
Abstract
The hemodynamic changes of acute small subcortical infarction (SSI) are not well understood. We evaluate the hemodynamic changes and collaterals in acute SSI using perfusion magnetic resonance imaging (MRI). A total of 103 patients with acute SSI in penetrating artery territories were recruited and underwent MRI within 24 h of stroke onset. Using 4D dynamic perfusion MRI, they were divided into three patterns: 25 (24%) with normal perfusion, 31 (30%) with compensated perfusion, and 47 (46%) with hypoperfusion. The development of anterograde or retrograde collaterals was also evaluated. Patients with hypoperfusion pattern had the highest rate of early neurological deterioration (32%, p = 0.007), the largest initial and final infarction volumes (p < 0.001 and p = 0.029), the lowest relative cerebral blood flow (0.63, p < 0.001), and the lowest rate of anterograde and retrograde collaterals (19%, p < 0.001; 66%, p = 0.002). The anterograde collaterals were associated with higher relative cerebral blood volume (0.91 vs. 0.77; p = 0.024) and a higher rate of deep cerebral microbleeds (48 vs. 21%; p = 0.028), whereas retrograde collaterals were associated with higher systolic and diastolic blood pressure (p = 0.031 and 0.020), smaller initial infarction volume (0.81 vs. 1.34 ml, p = 0.031), and a higher rate of lobar cerebral microbleeds (30 vs. 0%; p = 0.013). Both anterograde and retrograde collaterals may play a critical role in maintaining cerebral perfusion and can have an impact on patient clinical outcomes. Further studies are warranted to verify these findings and to investigate effective treatments.
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99
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Derraz I, Abdelrady M, Gaillard N, Ahmed R, Cagnazzo F, Dargazanli C, Lefevre PH, Corti L, Riquelme C, Mourand I, Gascou G, Bonafe A, Arquizan C, Costalat V. White Matter Hyperintensity Burden and Collateral Circulation in Large Vessel Occlusion Stroke. Stroke 2021; 52:3848-3854. [PMID: 34517773 DOI: 10.1161/strokeaha.120.031736] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE White matter hyperintensity (WMH), a marker of chronic cerebral small vessel disease, might impact the recruitment of leptomeningeal collaterals. We aimed to assess whether the WMH burden is associated with collateral circulation in patients treated by endovascular thrombectomy for anterior circulation acute ischemic stroke. METHODS Consecutive acute ischemic stroke due to anterior circulation large vessel occlusion and treated with endovascular thrombectomy from January 2015 to December 2017 were included. WMH volumes (periventricular, deep, and total) were assessed by a semiautomated volumetric analysis on fluid-attenuated inversion recovery-magnetic resonance imaging. Collateral status was graded on baseline catheter angiography using the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology grading system (good when ≥3). We investigated associations of WMH burden with collateral status. RESULTS A total of 302 patients were included (mean age, 69.1±19.4 years; women, 55.6%). Poor collaterals were observed in 49.3% of patients. Median total WMH volume was 3.76 cm3 (interquartile range, 1.09-11.81 cm3). The regression analyses showed no apparent relationship between WMH burden and the collateral status measured at baseline angiography (adjusted odds ratio, 0.987 [95% CI, 0.971-1.003]; P=0.12). CONCLUSIONS WMH burden exhibits no overt association with collaterals in large vessel occlusive stroke.
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Affiliation(s)
- Imad Derraz
- Department of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.-H.L., C.R., G.G., A.B., V.C.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Mohamed Abdelrady
- Department of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.-H.L., C.R., G.G., A.B., V.C.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Nicolas Gaillard
- Department of Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Raed Ahmed
- Department of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.-H.L., C.R., G.G., A.B., V.C.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Federico Cagnazzo
- Department of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.-H.L., C.R., G.G., A.B., V.C.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Cyril Dargazanli
- Department of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.-H.L., C.R., G.G., A.B., V.C.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Pierre-Henri Lefevre
- Department of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.-H.L., C.R., G.G., A.B., V.C.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Lucas Corti
- Department of Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Carlos Riquelme
- Department of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.-H.L., C.R., G.G., A.B., V.C.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Isabelle Mourand
- Department of Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Gregory Gascou
- Department of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.-H.L., C.R., G.G., A.B., V.C.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Alain Bonafe
- Department of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.-H.L., C.R., G.G., A.B., V.C.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Caroline Arquizan
- Department of Neurology (N.G., L.C., I.M., C.A.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Vincent Costalat
- Department of Neuroradiology (I.D., M.A., R.A., F.C., C.D., P.-H.L., C.R., G.G., A.B., V.C.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
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100
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Huang P, Zhang R, Jiaerken Y, Wang S, Yu W, Hong H, Lian C, Li K, Zeng Q, Luo X, Yu X, Xu X, Wu X, Zhang M. Deep white matter hyperintensity is associated with the dilation of perivascular space. J Cereb Blood Flow Metab 2021; 41:2370-2380. [PMID: 33757317 PMCID: PMC8393291 DOI: 10.1177/0271678x211002279] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Understanding the pathophysiology of white matter hyperintensity (WMH) is necessary to reduce its harmfulness. Dilated perivascular space (PVS) had been found related to WMH. In the present study, we aimed to examine the topological connections between WMH and PVS, and to investigate whether increased interstitial fluid mediates the correlation between PVS and WMH volumes. One hundred and thirty-six healthy elder subjects were retrospectively included from a prospectively collected community cohort. Sub-millimeter T2 weighted and FLAIR images were acquired for assessing the association between PVS and WMH. Diffusion tensor imaging and free-water (FW) analytical methods were used to quantify white matter free water content, and to explore whether it mediates the PVS-WMH association. We found that most (89%) of the deep WMH lesions were spatially connected with PVS, exhibiting several interesting topological types. PVS and WMH volumes were also significantly correlated (r = 0.222, p < 0.001). FW mediated this association in the whole sample (β = 0.069, p = 0.037) and in subjects with relatively high WMH load (β = 0.118, p = 0.006). These findings suggest a tight association between PVS dilation and WMH formation, which might be linked by the impaired glymphatic drainage function and accumulated local interstitial fluid.
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Affiliation(s)
- Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ruiting Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yeerfan Jiaerken
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shuyue Wang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wenke Yu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Hong
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Chunfeng Lian
- Department of Radiology and BRIC, University of North Carolina, Chapel Hill, NC, USA
| | - Kaicheng Li
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao Luo
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xinfeng Yu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaopei Xu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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