1
|
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: 6.0] [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.
Collapse
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
| |
Collapse
|
2
|
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: 0.5] [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.
Collapse
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
| |
Collapse
|
3
|
Agrawal S, Schneider JA. Vascular pathology and pathogenesis of cognitive impairment and dementia in older adults. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2022; 3:100148. [PMID: 36324408 PMCID: PMC9616381 DOI: 10.1016/j.cccb.2022.100148] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 05/25/2022] [Accepted: 06/23/2022] [Indexed: 12/24/2022]
Abstract
It is well recognized that brains of older people often harbor cerebrovascular disease pathology including vessel disease and vascular-related tissue injuries and that this is associated with vascular cognitive impairment and contributes to dementia. Here we review vascular pathologies, cognitive impairment, and dementia. We highlight the importance of mixed co-morbid AD/non-AD neurodegenerative and vascular pathology that has been collected in multiple clinical pathologic studies, especially in community-based studies. We also provide an update of vascular pathologies from the Rush Memory and Aging Project and Religious Orders Study cohorts with special emphasis on the differences across age in persons with and without dementia. Finally, we discuss neuropathological perspectives on the interpretation of clinical-pathological studies and emerging data in community-based studies.
Collapse
Affiliation(s)
- Sonal Agrawal
- Rush Alzheimer's Disease Center, Rush University Medical Center, Jelke Building, 1750 W. Harrison Street, Chicago 60612, IL, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - Julie A. Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Jelke Building, 1750 W. Harrison Street, Chicago 60612, IL, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| |
Collapse
|
4
|
Okada T, Fujimoto K, Fushimi Y, Akasaka T, Thuy DHD, Shima A, Sawamoto N, Oishi N, Zhang Z, Funaki T, Nakamoto Y, Murai T, Miyamoto S, Takahashi R, Isa T. Neuroimaging at 7 Tesla: a pictorial narrative review. Quant Imaging Med Surg 2022; 12:3406-3435. [PMID: 35655840 PMCID: PMC9131333 DOI: 10.21037/qims-21-969] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 02/05/2022] [Indexed: 01/26/2024]
Abstract
Neuroimaging using the 7-Tesla (7T) human magnetic resonance (MR) system is rapidly gaining popularity after being approved for clinical use in the European Union and the USA. This trend is the same for functional MR imaging (MRI). The primary advantages of 7T over lower magnetic fields are its higher signal-to-noise and contrast-to-noise ratios, which provide high-resolution acquisitions and better contrast, making it easier to detect lesions and structural changes in brain disorders. Another advantage is the capability to measure a greater number of neurochemicals by virtue of the increased spectral resolution. Many structural and functional studies using 7T have been conducted to visualize details in the white matter and layers of the cortex and hippocampus, the subnucleus or regions of the putamen, the globus pallidus, thalamus and substantia nigra, and in small structures, such as the subthalamic nucleus, habenula, perforating arteries, and the perivascular space, that are difficult to observe at lower magnetic field strengths. The target disorders for 7T neuroimaging range from tumoral diseases to vascular, neurodegenerative, and psychiatric disorders, including Alzheimer's disease, Parkinson's disease, multiple sclerosis, epilepsy, major depressive disorder, and schizophrenia. MR spectroscopy has also been used for research because of its increased chemical shift that separates overlapping peaks and resolves neurochemicals more effectively at 7T than a lower magnetic field. This paper presents a narrative review of these topics and an illustrative presentation of images obtained at 7T. We expect 7T neuroimaging to provide a new imaging biomarker of various brain disorders.
Collapse
Affiliation(s)
- Tomohisa Okada
- Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Koji Fujimoto
- Department of Real World Data Research and Development, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yasutaka Fushimi
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Thai Akasaka
- Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Dinh H. D. Thuy
- Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Atsushi Shima
- Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Nobukatsu Sawamoto
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Naoya Oishi
- Medial Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Zhilin Zhang
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takeshi Funaki
- Department of Neurosurgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yuji Nakamoto
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Toshiya Murai
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Susumu Miyamoto
- Department of Neurosurgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ryosuke Takahashi
- Department of Neurology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tadashi Isa
- Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| |
Collapse
|
5
|
Lee J, Kim JG, Hong S, Kim YS, Ahn S, Kim R, Chun H, Park KD, Jeong Y, Kim DE, Lee CJ, Ku T, Kim P. Longitudinal intravital imaging of cerebral microinfarction reveals a dynamic astrocyte reaction leading to glial scar formation. Glia 2022; 70:975-988. [PMID: 35106851 DOI: 10.1002/glia.24151] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 11/24/2021] [Accepted: 01/17/2022] [Indexed: 01/25/2023]
Abstract
Cerebral microinfarct increases the risk of dementia. But how microscopic cerebrovascular disruption affects the brain tissue in cellular-level are mostly unknown. Herein, with a longitudinal intravital imaging, we serially visualized in vivo dynamic cellular-level changes in astrocyte, pericyte and neuron as well as microvascular integrity after the induction of cerebral microinfarction for 1 month in mice. At day 2-3, it revealed a localized edema with acute astrocyte loss, neuronal death, impaired pericyte-vessel coverage and extravascular leakage of 3 kDa dextran (but not 2 MDa dextran) indicating microinfarction-related blood-brain barrier (BBB) dysfunction for small molecules. At day 5, the local edema disappeared with the partial restoration of microcirculation and recovery of pericyte-vessel coverage and BBB integrity. But brain tissue continued to shrink with persisted loss of astrocyte and neuron in microinfarct until 30 days, resulting in a collagen-rich fibrous scar surrounding the microinfarct. Notably, reactive astrocytes expressing glial fibrillary acidic protein (GFAP) appeared at the peri-infarct area early at day 2 and thereafter accumulated in the peri-infarct until 30 days, inducing glial scar formation in cerebral cortex. Our longitudinal intravital imaging of serial microscopic neurovascular pathophysiology in cerebral microinfarction newly revealed that astrocytes are critically susceptible to the acute microinfarction and their reactive response leads to the fibrous glial scar formation.
Collapse
Affiliation(s)
- Jingu Lee
- Graduate School of Nanoscience and Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.,KI for Health Science and Technology (KIHST), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Joon-Goon Kim
- KI for Health Science and Technology (KIHST), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.,Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Sujung Hong
- Graduate School of Nanoscience and Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.,KI for Health Science and Technology (KIHST), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Young Seo Kim
- KI for Health Science and Technology (KIHST), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.,Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Soyeon Ahn
- Graduate School of Nanoscience and Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.,KI for Health Science and Technology (KIHST), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Ryul Kim
- KI for Health Science and Technology (KIHST), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.,Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.,Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Heejung Chun
- Center for Cognition and Sociality, Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - Ki Duk Park
- Convergence Research Center for Diagnosis, Treatment and Care System of Dementia, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.,Division of Bio-Med Science & Technology, KIST School, University of Science and Technology (UST), Seoul, South Korea
| | - Yong Jeong
- KI for Health Science and Technology (KIHST), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.,Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University College of Medicine, Dongguk University Ilsan Hospital, Goyang, South Korea
| | - C Justin Lee
- Center for Cognition and Sociality, Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - Taeyun Ku
- KI for Health Science and Technology (KIHST), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.,Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Pilhan Kim
- Graduate School of Nanoscience and Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.,KI for Health Science and Technology (KIHST), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.,Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| |
Collapse
|
6
|
Luo X, Hong H, Wang S, Li K, Zeng Q, Hong L, Liu X, Li Z, Fu Y, Jiaerken Y, Xu X, Yu X, Huang P, Zhang M. Exploration of the Mechanism Underlying the Association of Incident Microinfarct and Motor Deficit: A Preliminary Functional MRI Study. J Alzheimers Dis 2021; 85:1545-1554. [PMID: 34958031 DOI: 10.3233/jad-215227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cerebral microinfarcts (CMIs) might cause measurable disruption to brain connections and are associated with cognitive decline, but the association between CMIs and motor impairment is still unclear. OBJECTIVE To assess the CMIs effect on motor function in vivo and explore the potential neuropathological mechanism based on graph-based network method. METHODS We identified 133 non-demented middle-aged and elderly participants who underwent MRI scanning, cognitive, and motor assessment. The short physical performance battery (SPPB) assessed motor function, including balance, walking speed, and chair stand. We grouped participants into 34 incident CMIs carriers and 99 non-CMIs carriers as controls, depending on diffusion-weighted imaging. Then we assessed the independent CMIs effects on motor function and explored neural mechanisms of CMIs on motor impairment via mapping of degree centrality (DC) and eigenvector centrality (EC). RESULTS CMIs carriers had worse motor function than non-carriers. Linear regression analyses showed that CMIs independently contributed to motor function. CMIs carriers had decreased EC in the precuneus, while increased DC and EC in the middle temporal gyrus and increased DC in the inferior frontal gyrus compared to controls (p < 0.05, corrected). Correlation analyses showed that EC of precuneus was related to SPPB (r = 0.25) and balance (r = 0.27); however, DC (r = -0.25) and EC (r = -0.25) of middle temporal gyrus was related with SPPB in all participants (p < 0.05, corrected). CONCLUSION CMIs represent an independent risk factor for motor dysfunction. The relationship between CMIs and motor function may be attributed to suppression of functional hub region and compensatory activation of motor-related regions.
Collapse
Affiliation(s)
- Xiao Luo
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Hong
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Shuyue Wang
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Kaicheng Li
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Luwei Hong
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaocao Liu
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Zheyu Li
- Department of Neurology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yanv Fu
- Department of Neurology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yeerfan Jiaerken
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - XiaoPei Xu
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xinfeng Yu
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| |
Collapse
|
7
|
Gokcal E, Horn MJ, van Veluw SJ, Frau-Pascual A, Das AS, Pasi M, Fotiadis P, Warren AD, Schwab K, Rosand J, Viswanathan A, Polimeni JR, Greenberg SM, Gurol ME. Lacunes, Microinfarcts, and Vascular Dysfunction in Cerebral Amyloid Angiopathy. Neurology 2021; 96:e1646-e1654. [PMID: 33536272 PMCID: PMC8032369 DOI: 10.1212/wnl.0000000000011631] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 12/18/2020] [Indexed: 01/29/2023] Open
Abstract
OBJECTIVE To analyze the relationship of lacunes with cortical cerebral microinfarcts (CMIs), to assess their association with vascular dysfunction, and to evaluate their effect on the risk of incident intracerebral hemorrhage (ICH) in cerebral amyloid angiopathy (CAA). METHODS The count and topography of lacunes (deep/lobar), CMIs, and white matter hyperintensity (WMH) volume were retrospectively analyzed in a prospectively enrolled CAA cohort that underwent high-resolution research MRIs. The relationship of lacunes with CMIs and other CAA-related markers including time to peak (TTP) of blood oxygen level-dependent signal, an established measure of vascular dysfunction, was evaluated in multivariate models. Adjusted Cox regression models were used to investigate the relationship between lacunes and incident ICH. RESULTS The cohort consisted of 122 patients with probable CAA without dementia (mean age, 69.4 ± 7.6 years). Lacunes were present in 31 patients (25.4%); all but one were located in lobar regions. Cortical CMIs were more common in patients with lacunes compared to patients without lacunes (51.6% vs 20.9%, p = 0.002). TTP was not associated with either lacunes or CMIs (both p > 0.2) but longer TTP response independently correlated with higher WMH volume (p = 0.001). Lacunes were associated with increased ICH risk in univariate and multivariate Cox regression models (p = 0.048 and p = 0.026, respectively). CONCLUSIONS Our findings show a high prevalence of lobar lacunes, frequently coexisting with CMIs in CAA, suggesting that these 2 lesion types may be part of a common spectrum of CAA-related infarcts. Lacunes were not related to vascular dysfunction but predicted incident ICH, favoring severe focal vessel involvement rather than global ischemia as their mechanism.
Collapse
Affiliation(s)
- Elif Gokcal
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Mitchell J Horn
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Susanne J van Veluw
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Aina Frau-Pascual
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Alvin S Das
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Marco Pasi
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Panagiotis Fotiadis
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Andrew D Warren
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Kristin Schwab
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Jonathan Rosand
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Anand Viswanathan
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Jonathan R Polimeni
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Steven M Greenberg
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - M Edip Gurol
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France.
| |
Collapse
|
8
|
Gascho D, Zoelch N, Sommer S, Tappero C, Thali MJ, Deininger-Czermak E. 7-T MRI for brain virtual autopsy: a proof of concept in comparison to 3-T MRI and CT. Eur Radiol Exp 2021; 5:3. [PMID: 33442787 PMCID: PMC7806692 DOI: 10.1186/s41747-020-00198-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 11/26/2020] [Indexed: 11/10/2022] Open
Abstract
The detection and assessment of cerebral lesions and traumatic brain injuries are of particular interest in forensic investigations in order to differentiate between natural and traumatic deaths and to reconstruct the course of events in case of traumatic deaths. For this purpose, computed tomography (CT) and magnetic resonance imaging (MRI) are applied to supplement autopsy (traumatic death) or to supplant autopsy (natural deaths). This approach is termed “virtual autopsy.” The value of this approach increases as more microlesions and traumatic brain injuries are detected and assessed. Focusing on these findings, this article describes the examination of two decedents using CT, 3-T, and 7-T MRI. The main question asked was whether there is a benefit in using 7-T over 3-T MRI. To answer this question, the 3-T and 7-T images were graded regarding the detectability and the assessability of coup/contrecoup injuries and microlesions using 3-point Likert scales. While CT missed these findings, they were detectable on 3-T and 7-T MRI. However, the 3-T images appeared blurry in direct comparison with the 7-T images; thus, the detectability and assessability of small findings were hampered on 3-T MRI. The potential benefit of 7-T over 3-T MRI is discussed.
Collapse
Affiliation(s)
- Dominic Gascho
- Department of Forensic Medicine and Imaging, Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, CH-8057, Zurich, Switzerland.
| | - Niklaus Zoelch
- Department of Forensic Medicine and Imaging, Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, CH-8057, Zurich, Switzerland.,Department of Psychiatry, Psychotherapy and Psychosomatics, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland
| | - Stefan Sommer
- Siemens Healthcare AG, Zurich, Switzerland.,Swiss Center for Musculoskeletal Imaging (SCMI), Balgrist Campus AG, Zurich, Switzerland
| | - Carlo Tappero
- Department of Forensic Medicine and Imaging, Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, CH-8057, Zurich, Switzerland.,Department of Radiology, Hôpital Fribourgeois, Villars-sur-Glâne, Switzerland
| | - Michael J Thali
- Department of Forensic Medicine and Imaging, Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, CH-8057, Zurich, Switzerland
| | - Eva Deininger-Czermak
- Department of Forensic Medicine and Imaging, Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, CH-8057, Zurich, Switzerland.,Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| |
Collapse
|
9
|
Cerebral Amyloid Angiopathy. Neuroradiology 2019. [DOI: 10.1016/b978-0-323-44549-8.00004-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
|
10
|
Jandke S, Garz C, Schwanke D, Sendtner M, Heinze HJ, Carare RO, Schreiber S. The association between hypertensive arteriopathy and cerebral amyloid angiopathy in spontaneously hypertensive stroke-prone rats. Brain Pathol 2018; 28:844-859. [PMID: 30062722 PMCID: PMC8028507 DOI: 10.1111/bpa.12629] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
We aimed to test the hypothesis that in spontaneously hypertensive stroke‐prone rats (SHRSP), non‐amyloid cerebral small vessel disease/hypertensive arteriopathy (HA) results in vessel wall injury that may promote cerebral amyloid angiopathy (CAA). Our study comprised 21 male SHRSP (age 17–44 weeks) and 10 age‐ and sex‐matched Wistar control rats, that underwent two‐photon (2PM) imaging of the arterioles in the parietal cortex using Methoxy‐X04, Dextran and cerebral blood flow (CBF) measurements. Our data suggest that HA in SHRSP progresses in a temporal and age‐dependent manner, starting from small vessel wall damage (stage 1A), proceeding to CBF reduction (stage 1B), non‐occlusive (stage 2), and finally, occlusive thrombi (stage 3). Wistar animals also demonstrated small vessel wall damage, but were free of any of the later HA stages. Nearly half of all SHRSP additionally displayed vascular Methoxy‐X04 positivity indicative of cortical CAA. Vascular β‐amyloid deposits were found in small vessels characterized by thrombotic occlusions (stage 2 or 3). Post‐mortem analysis of the rat brains confirmed the findings derived from intravital 2PM microscopy. Our data thus overall suggest that advanced HA may play a role in CAA development with the two small vessel disease entities might be related to the same pathological spectrum of the aging brain.
Collapse
Affiliation(s)
- Solveig Jandke
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - Cornelia Garz
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - Daniel Schwanke
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - Michael Sendtner
- Institute of Clinical Neurobiology, University of Würzburg, Germany
| | - Hans-Jochen Heinze
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | | | - Stefanie Schreiber
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| |
Collapse
|
11
|
|
12
|
van Veluw SJ, Shih AY, Smith EE, Chen C, Schneider JA, Wardlaw JM, Greenberg SM, Biessels GJ. Detection, risk factors, and functional consequences of cerebral microinfarcts. Lancet Neurol 2017; 16:730-740. [PMID: 28716371 PMCID: PMC5861500 DOI: 10.1016/s1474-4422(17)30196-5] [Citation(s) in RCA: 204] [Impact Index Per Article: 29.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2017] [Revised: 04/17/2017] [Accepted: 06/01/2017] [Indexed: 02/07/2023]
Abstract
Cerebral microinfarcts are small lesions that are presumed to be ischaemic. Despite the small size of these lesions, affected individuals can have hundreds to thousands of cerebral microinfarcts, which cause measurable disruption to structural brain connections, and are associated with dementia that is independent of Alzheimer's disease pathology or larger infarcts (ie, lacunar infarcts, and large cortical and non-lacunar subcortical infarcts). Substantial progress has been made with regard to understanding risk factors and functional consequences of cerebral microinfarcts, partly driven by new in-vivo detection methods and the development of animal models that closely mimic multiple aspects of cerebral microinfarcts in human beings. Evidence from these advances suggests that cerebral microinfarcts can be manifestations of both small vessel and large vessel disease, that cerebral microinfarcts are independently associated with cognitive impairment, and that these lesions are likely to cause damage to brain structure and function that extends beyond their actual lesion boundaries. Criteria for the identification of cerebral microinfarcts with in-vivo MRI are provided to support further studies of the association between these lesions and cerebrovascular disease and dementia.
Collapse
Affiliation(s)
- Susanne J van Veluw
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Andy Y Shih
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, USA
| | - Eric E Smith
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Christopher Chen
- Memory Ageing and Cognition Centre, National University Health System, Singapore
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences and Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Steven M Greenberg
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands.
| |
Collapse
|
13
|
Abstract
Magnetic resonance imaging (MRI) plays a key role in the investigation of cerebrovascular diseases. Compared with computed tomography (CT) and digital subtraction angiography (DSA), its advantages in diagnosing cerebrovascular pathology include its superior tissue contrast, its ability to visualize blood vessels without the use of a contrast agent, and its use of magnetic fields and radiofrequency pulses instead of ionizing radiation. In recent years, ultrahigh field MRI at 7 tesla (7 T) has shown promise in the diagnosis of many cerebrovascular diseases. The increased signal-to-noise ratio (SNR; 2.3x and 4.7x increase compared with 3 and 1.5 T, respectively) and contrast-to-noise ratio (CNR) at this higher field strength can be exploited to obtain a higher spatial resolution and higher lesion conspicuousness, enabling assessment of smaller brain structures and lesions. Cerebrovascular diseases can be assessed at different tissue levels; for instance, changes of the arteries feeding the brain can be visualized to determine the cause of ischemic stroke, regional changes in brain perfusion can be mapped to predict outcome after revascularization, and tissue damage, including old and recent ischemic infarcts, can be evaluated as a marker of ischemic burden. For the purpose of this review, we will discriminate 3 levels of assessment of cerebrovascular diseases using MRI: Pipes, Perfusion, and Parenchyma (3 Ps). The term Pipes refers to the brain-feeding arteries from the heart and aortic arch, upwards to the carotid arteries, vertebral arteries, circle of Willis, and smaller intracranial arterial branches. Perfusion is the amount of blood arriving at the brain tissue level, and includes the vascular reserve and perfusion territories. Parenchyma refers to the acute and chronic burden of brain tissue damage, which includes larger infarcts, smaller microinfarcts, and small vessel disease manifestations such as white matter lesions, lacunar infarcts, and microbleeds. In this review, we will describe the key developments in the last decade of 7-T MRI of cerebrovascular diseases, subdivided for these 3 levels of assessment.
Collapse
|
14
|
Wang Z, van Veluw SJ, Wong A, Liu W, Shi L, Yang J, Xiong Y, Lau A, Biessels GJ, Mok VCT. Risk Factors and Cognitive Relevance of Cortical Cerebral Microinfarcts in Patients With Ischemic Stroke or Transient Ischemic Attack. Stroke 2016; 47:2450-5. [PMID: 27539302 DOI: 10.1161/strokeaha.115.012278] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Accepted: 07/18/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE It was recently demonstrated that cerebral microinfarcts (CMIs) can be detected in vivo using 3.0 tesla (T) magnetic resonance imaging. We investigated the prevalence, risk factors, and the longitudinal cognitive consequence of cortical CMIs on 3.0T magnetic resonance imaging, in patients with ischemic stroke or transient ischemic attack. METHODS A total of 231 patients undergoing 3.0T magnetic resonance imaging were included. Montreal Cognitive Assessment was used to evaluate global cognitive functions and cognitive domains (memory, language, and attention visuospatial and executive functions). Cognitive changes were represented by the difference in Montreal Cognitive Assessment score between baseline and 28-month after stroke/transient ischemic attack. The cross-sectional and longitudinal associations between cortical CMIs and cognitive functions were explored using ANCOVA and regression models. RESULTS Cortical CMIs were observed in 34 patients (14.7%), including 13 patients with acute (hyperintense on diffusion-weighted imaging) and 21 with chronic CMIs (isointense on diffusion-weighted imaging). Atrial fibrillation was a risk factor for all cortical CMIs (odds ratio, 4.8; 95% confidence interval, 1.5-14.9; P=0.007). Confluent white matter hyperintensities was associated with chronic CMIs (odds ratio, 2.8; 95% confidence interval, 1.0-7.8; P=0.047). The presence of cortical CMIs at baseline was associated with worse visuospatial functions at baseline and decline over 28-month follow-up (β=0.5; 95% confidence interval, 0.1-1.0; P=0.008, adjusting for brain atrophy, white matter hyperintensities, lacunes, and microbleeds). CONCLUSIONS Cortical CMIs are a common finding in patients with stroke/transient ischemic attack. Associations between CMI with atrial fibrillation and white matter hyperintensities suggest that these lesions have a heterogeneous cause, involving microembolism and cerebral small vessel disease. CMI seemed to preferentially impact visuospatial functions as assessed by a cognitive screening test.
Collapse
Affiliation(s)
- Zhaolu Wang
- From the Department of Medicine and Therapeutics (Z.W., A.W., W.L., L.S., A.L., V.C.T.M.), Therese Pei Fong Chow Research Centre for Prevention of Dementia (A.W., L.S., V.C.T.M.), Lui Che Woo Institute of Innovative Medicine (A.W., L.S., V.C.T.M.), The Chinese University of Hong Kong, China; Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, China (Z.W.); Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands (S.J.v.V., G.J.B.); Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, China (J.Y.); and Department of Neurology, Jinling Hospital, Nanjing University School of Medicine, China (Y.X.)
| | - Susanne J van Veluw
- From the Department of Medicine and Therapeutics (Z.W., A.W., W.L., L.S., A.L., V.C.T.M.), Therese Pei Fong Chow Research Centre for Prevention of Dementia (A.W., L.S., V.C.T.M.), Lui Che Woo Institute of Innovative Medicine (A.W., L.S., V.C.T.M.), The Chinese University of Hong Kong, China; Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, China (Z.W.); Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands (S.J.v.V., G.J.B.); Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, China (J.Y.); and Department of Neurology, Jinling Hospital, Nanjing University School of Medicine, China (Y.X.)
| | - Adrian Wong
- From the Department of Medicine and Therapeutics (Z.W., A.W., W.L., L.S., A.L., V.C.T.M.), Therese Pei Fong Chow Research Centre for Prevention of Dementia (A.W., L.S., V.C.T.M.), Lui Che Woo Institute of Innovative Medicine (A.W., L.S., V.C.T.M.), The Chinese University of Hong Kong, China; Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, China (Z.W.); Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands (S.J.v.V., G.J.B.); Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, China (J.Y.); and Department of Neurology, Jinling Hospital, Nanjing University School of Medicine, China (Y.X.)
| | - Wenyan Liu
- From the Department of Medicine and Therapeutics (Z.W., A.W., W.L., L.S., A.L., V.C.T.M.), Therese Pei Fong Chow Research Centre for Prevention of Dementia (A.W., L.S., V.C.T.M.), Lui Che Woo Institute of Innovative Medicine (A.W., L.S., V.C.T.M.), The Chinese University of Hong Kong, China; Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, China (Z.W.); Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands (S.J.v.V., G.J.B.); Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, China (J.Y.); and Department of Neurology, Jinling Hospital, Nanjing University School of Medicine, China (Y.X.)
| | - Lin Shi
- From the Department of Medicine and Therapeutics (Z.W., A.W., W.L., L.S., A.L., V.C.T.M.), Therese Pei Fong Chow Research Centre for Prevention of Dementia (A.W., L.S., V.C.T.M.), Lui Che Woo Institute of Innovative Medicine (A.W., L.S., V.C.T.M.), The Chinese University of Hong Kong, China; Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, China (Z.W.); Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands (S.J.v.V., G.J.B.); Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, China (J.Y.); and Department of Neurology, Jinling Hospital, Nanjing University School of Medicine, China (Y.X.)
| | - Jie Yang
- From the Department of Medicine and Therapeutics (Z.W., A.W., W.L., L.S., A.L., V.C.T.M.), Therese Pei Fong Chow Research Centre for Prevention of Dementia (A.W., L.S., V.C.T.M.), Lui Che Woo Institute of Innovative Medicine (A.W., L.S., V.C.T.M.), The Chinese University of Hong Kong, China; Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, China (Z.W.); Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands (S.J.v.V., G.J.B.); Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, China (J.Y.); and Department of Neurology, Jinling Hospital, Nanjing University School of Medicine, China (Y.X.)
| | - Yunyun Xiong
- From the Department of Medicine and Therapeutics (Z.W., A.W., W.L., L.S., A.L., V.C.T.M.), Therese Pei Fong Chow Research Centre for Prevention of Dementia (A.W., L.S., V.C.T.M.), Lui Che Woo Institute of Innovative Medicine (A.W., L.S., V.C.T.M.), The Chinese University of Hong Kong, China; Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, China (Z.W.); Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands (S.J.v.V., G.J.B.); Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, China (J.Y.); and Department of Neurology, Jinling Hospital, Nanjing University School of Medicine, China (Y.X.)
| | - Alexander Lau
- From the Department of Medicine and Therapeutics (Z.W., A.W., W.L., L.S., A.L., V.C.T.M.), Therese Pei Fong Chow Research Centre for Prevention of Dementia (A.W., L.S., V.C.T.M.), Lui Che Woo Institute of Innovative Medicine (A.W., L.S., V.C.T.M.), The Chinese University of Hong Kong, China; Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, China (Z.W.); Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands (S.J.v.V., G.J.B.); Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, China (J.Y.); and Department of Neurology, Jinling Hospital, Nanjing University School of Medicine, China (Y.X.)
| | - Geert Jan Biessels
- From the Department of Medicine and Therapeutics (Z.W., A.W., W.L., L.S., A.L., V.C.T.M.), Therese Pei Fong Chow Research Centre for Prevention of Dementia (A.W., L.S., V.C.T.M.), Lui Che Woo Institute of Innovative Medicine (A.W., L.S., V.C.T.M.), The Chinese University of Hong Kong, China; Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, China (Z.W.); Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands (S.J.v.V., G.J.B.); Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, China (J.Y.); and Department of Neurology, Jinling Hospital, Nanjing University School of Medicine, China (Y.X.).
| | - Vincent C T Mok
- From the Department of Medicine and Therapeutics (Z.W., A.W., W.L., L.S., A.L., V.C.T.M.), Therese Pei Fong Chow Research Centre for Prevention of Dementia (A.W., L.S., V.C.T.M.), Lui Che Woo Institute of Innovative Medicine (A.W., L.S., V.C.T.M.), The Chinese University of Hong Kong, China; Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, China (Z.W.); Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands (S.J.v.V., G.J.B.); Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, China (J.Y.); and Department of Neurology, Jinling Hospital, Nanjing University School of Medicine, China (Y.X.).
| |
Collapse
|
15
|
Mobashsher AT, Bialkowski KS, Abbosh AM, Crozier S. Design and Experimental Evaluation of a Non-Invasive Microwave Head Imaging System for Intracranial Haemorrhage Detection. PLoS One 2016; 11:e0152351. [PMID: 27073994 PMCID: PMC4830520 DOI: 10.1371/journal.pone.0152351] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Accepted: 03/11/2016] [Indexed: 11/30/2022] Open
Abstract
An intracranial haemorrhage is a life threatening medical emergency, yet only a fraction of the patients receive treatment in time, primarily due to the transport delay in accessing diagnostic equipment in hospitals such as Magnetic Resonance Imaging or Computed Tomography. A mono-static microwave head imaging system that can be carried in an ambulance for the detection and localization of intracranial haemorrhage is presented. The system employs a single ultra-wideband antenna as sensing element to transmit signals in low microwave frequencies towards the head and capture backscattered signals. The compact and low-profile antenna provides stable directional radiation patterns over the operating bandwidth in both near and far-fields. Numerical analysis of the head imaging system with a realistic head model in various situations is performed to realize the scattering mechanism of haemorrhage. A modified delay-and-summation back-projection algorithm, which includes effects of surface waves and a distance-dependent effective permittivity model, is proposed for signal and image post-processing. The efficacy of the automated head imaging system is evaluated using a 3D-printed human head phantom with frequency dispersive dielectric properties including emulated haemorrhages with different sizes located at different depths. Scattered signals are acquired with a compact transceiver in a mono-static circular scanning profile. The reconstructed images demonstrate that the system is capable of detecting haemorrhages as small as 1 cm3. While quantitative analyses reveal that the quality of images gradually degrades with the increase of the haemorrhage’s depth due to the reduction of signal penetration inside the head; rigorous statistical analysis suggests that substantial improvement in image quality can be obtained by increasing the data samples collected around the head. The proposed head imaging prototype along with the processing algorithm demonstrates its feasibility for potential use in ambulances as an effective and low cost diagnostic tool to assure timely triaging of intracranial hemorrhage patients.
Collapse
Affiliation(s)
- A. T. Mobashsher
- School of ITEE, The University of Queensland, St Lucia, 4072, Brisbane, Australia
- * E-mail: ;
| | - K. S. Bialkowski
- School of ITEE, The University of Queensland, St Lucia, 4072, Brisbane, Australia
| | - A. M. Abbosh
- School of ITEE, The University of Queensland, St Lucia, 4072, Brisbane, Australia
| | - S. Crozier
- School of ITEE, The University of Queensland, St Lucia, 4072, Brisbane, Australia
| |
Collapse
|
16
|
Banerjee G, Wilson D, Jäger HR, Werring DJ. Novel imaging techniques in cerebral small vessel diseases and vascular cognitive impairment. Biochim Biophys Acta Mol Basis Dis 2015; 1862:926-38. [PMID: 26687324 DOI: 10.1016/j.bbadis.2015.12.010] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Revised: 12/07/2015] [Accepted: 12/08/2015] [Indexed: 11/27/2022]
Abstract
Dementia is a global growing concern, affecting over 35 million people with a global economic impact of over $604 billion US. With an ageing population the number of people affected is expected double over the next two decades. Vascular cognitive impairment can be caused by various types of cerebrovascular disease, including cortical and subcortical infarcts, and the more diffuse white matter injury due to cerebral small vessel disease. Although this type of cognitive impairment is usually considered the second most common form of dementia after Alzheimer's disease, there is increasing recognition of the vascular contribution to neurodegeneration, with both pathologies frequently coexisting. The aim of this review is to highlight the recent advances in the understanding of vascular cognitive impairment, with a focus on small vessel diseases of the brain. We discuss recently identified small vessel imaging markers that have been associated with cognitive impairment, namely cerebral microbleeds, enlarged perivascular spaces, cortical superficial siderosis, and microinfarcts. We will also consider quantitative techniques including diffusion tensor imaging, magnetic resonance perfusion imaging with arterial spin labelling, functional magnetic resonance imaging and positron emission tomography. As well as potentially shedding light on the mechanism by which cerebral small vessel diseases cause dementia, these novel imaging biomarkers are also of increasing relevance given their ability to guide diagnosis and reflect disease progression, which may in the future be useful for therapeutic interventions. This article is part of a Special Issue entitled: Vascular Contributions to Cognitive Impairment and Dementia edited by M. Paul Murphy, Roderick A. Corriveau and Donna M. Wilcock.
Collapse
Affiliation(s)
- Gargi Banerjee
- UCL Stroke Research Centre, Department of Brain Repair & Rehabilitation, UCL Institute of Neurology, 10-12 Russell Square, London WC1B 3EE, UK
| | - Duncan Wilson
- UCL Stroke Research Centre, Department of Brain Repair & Rehabilitation, UCL Institute of Neurology, 10-12 Russell Square, London WC1B 3EE, UK
| | - Hans R Jäger
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK
| | - David J Werring
- UCL Stroke Research Centre, Department of Brain Repair & Rehabilitation, UCL Institute of Neurology, 10-12 Russell Square, London WC1B 3EE, UK
| |
Collapse
|
17
|
Gizewski ER, Mönninghoff C, Forsting M. Perspectives of Ultra-High-Field MRI in Neuroradiology. Clin Neuroradiol 2015; 25 Suppl 2:267-73. [PMID: 26184503 DOI: 10.1007/s00062-015-0437-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Accepted: 07/06/2015] [Indexed: 01/22/2023]
Abstract
PURPOSE Magnetic resonance imaging (MRI) is one of the most important methods for the diagnosis and therapy monitoring of various diseases. Today, magnets up to 3 T are standard. This review will give an overview of the clinical perspectives of ultra-high field MRI, meaning mainly 7 T. METHODS Literature review with focus on clinical applications of 7 T imaging in neuroscience combined with examples of own studies and perspectives. RESULTS This high-resolution technique offers the potential to improve certain tissue contrasts and signal in functional (fMRI) and metabolic (MRS) imaging. This overview demonstrates already existing potentials and advantages of the ultra-high magnetic field for central nervous system (CNS) diseases. CONCLUSIONS Although there are still some technical challenges for brain and spine imaging at 7 T, the method has clear benefit in selected structural, functional, and metabolic imaging.
Collapse
Affiliation(s)
- E R Gizewski
- Dept. of Neuroradiology, Medical University Innsbruck, Innsbruck, Austria. .,Universitätsklinik für Neuroradiologie, Medizinische Universität Innsbruck, Anichstr. 35, 6020, Innsbruck, Austria.
| | - C Mönninghoff
- Dept. of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.,Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
| | - M Forsting
- Dept. of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.,Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
| |
Collapse
|
18
|
Cortical microinfarcts on 3T MRI: Clinical correlates in memory-clinic patients. Alzheimers Dement 2015; 11:1500-1509. [DOI: 10.1016/j.jalz.2014.12.010] [Citation(s) in RCA: 94] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2014] [Revised: 11/21/2014] [Accepted: 12/05/2014] [Indexed: 11/22/2022]
|
19
|
Benjamin P, Viessmann O, MacKinnon AD, Jezzard P, Markus HS. 7 Tesla MRI in Cerebral Small Vessel Disease. Int J Stroke 2015; 10:659-64. [PMID: 25845965 DOI: 10.1111/ijs.12490] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2014] [Accepted: 02/04/2015] [Indexed: 11/29/2022]
Abstract
Cerebral small vessel disease (SVD) is a major cause of stroke and cognitive decline. Magnetic resonance imaging (MRI) currently plays a central role in diagnosis, and advanced MRI techniques are widely used in research but are limited by spatial resolution. Human 7 Tesla (7T) MRI has recently become available offering the ability to image at higher spatial resolution. This may provide additional insights into both the vascular pathology itself as well as parenchymal markers which could only previously be examined post mortem. In this review we cover the advantages and limitations of 7T MRI, review studies in SVD performed to date, and discuss potential future insights into SVD which 7T MRI may provide.
Collapse
Affiliation(s)
- Philip Benjamin
- Neurosciences Research Centre, St George's University of London, London, UK
| | - Olivia Viessmann
- Functional MRI of the Brain (FMRIB) Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Andrew D. MacKinnon
- Atkinson Morley Regional Neuroscience Centre, St George's NHS Healthcare Trust, London, UK
| | - Peter Jezzard
- Functional MRI of the Brain (FMRIB) Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Hugh S. Markus
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| |
Collapse
|
20
|
The spectrum of MR detectable cortical microinfarcts: a classification study with 7-tesla postmortem MRI and histopathology. J Cereb Blood Flow Metab 2015; 35:676-83. [PMID: 25605293 PMCID: PMC4420894 DOI: 10.1038/jcbfm.2014.258] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Revised: 12/15/2014] [Accepted: 12/17/2014] [Indexed: 11/08/2022]
Abstract
Cerebral microinfarcts (CMIs) are common neuropathologic findings in aging and dementia. We explored the spectrum of cortical CMIs that can be visualized with 7 T magnetic resonance imaging (MRI). Thirty-three coronal brain slices of 11 individuals with neuropathologically confirmed dementia were subjected to a high-resolution postmortem 7 T MRI protocol. First, we identified all visible small (⩽ 5 mm) intracortical and juxtacortical lesions on postmortem MRI. Lesions were classified as CMI or nonCMI based on histology, and their MR features were recorded. Thirty lesions were identified on the initial MRI evaluation, of which twenty-three could be matched with histology. Histopathology classified 12 lesions as CMIs, all of which were located intracortically. On the basis of their MR features, they could be classified as chronic gliotic CMIs--with or without cavitation or hemorrhagic components--and acute CMIs. Eleven MRI identified lesions were not of ischemic nature and most commonly enlarged or atypically shaped perivascular spaces. Their MRI features were similar to gliotic CMIs with or without cavitation, but these 'CMI mimics' were always located juxtacortically. 7 T postmortem MRI distinguishes different histopathologic types of cortical CMIs, with distinctive MR characteristics. On the basis of our findings, we propose in vivo rating criteria for the detection of intracortical CMIs.
Collapse
|