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Raposo N, Périole C, Planton M. In-vivo diagnosis of cerebral amyloid angiopathy: an updated review. Curr Opin Neurol 2024; 37:19-25. [PMID: 38038409 DOI: 10.1097/wco.0000000000001236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
PURPOSE OF REVIEW Sporadic cerebral amyloid angiopathy (CAA) is a highly prevalent small vessel disease in ageing population with potential severe complications including lobar intracerebral hemorrhage (ICH), cognitive impairment, and dementia. Although diagnosis of CAA was made only with postmortem neuropathological examination a few decades ago, diagnosing CAA without pathological proof is now allowed in living patients. This review focuses on recently identified biomarkers of CAA and current diagnostic criteria. RECENT FINDINGS Over the past few years, clinicians and researchers have shown increased interest for CAA, and important advances have been made. Thanks to recent insights into mechanisms involved in CAA and advances in structural and functional neuroimaging, PET amyloid tracers, cerebrospinal fluid and plasma biomarkers analysis, a growing number of biomarkers of CAA have been identified. Imaging-based diagnostic criteria including emerging biomarkers have been recently developed or updated, enabling accurate and earlier diagnosis of CAA in living patients. SUMMARY Recent advances in neuroimaging allow diagnosing CAA in the absence of pathological examination. Current imaging-based criteria have high diagnostic performance in patients presenting with ICH, but is more limited in other clinical context such as cognitively impaired patients or asymptomatic individuals. Further research is still needed to improve diagnostic accuracy.
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Affiliation(s)
- Nicolas Raposo
- Department of neurology, Toulouse University Hospital
- Clinical Investigation Center, CIC1436, Toulouse University Hospital, F-CRIN/Strokelink Network, Toulouse
- Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France
| | - Charlotte Périole
- Department of neurology, Toulouse University Hospital
- Clinical Investigation Center, CIC1436, Toulouse University Hospital, F-CRIN/Strokelink Network, Toulouse
| | - Mélanie Planton
- Department of neurology, Toulouse University Hospital
- Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France
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Okine DN, Knopman DS, Mosley TH, Wong DF, Johansen MC, Walker KA, Jack CR, Kantarci K, Pike JR, Graff-Radford J, Gottesman RF. Cerebral Microbleed Patterns and Cortical Amyloid-β: The ARIC-PET Study. Stroke 2023; 54:2613-2620. [PMID: 37638398 PMCID: PMC10877560 DOI: 10.1161/strokeaha.123.042835] [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: 02/16/2023] [Accepted: 08/02/2023] [Indexed: 08/29/2023]
Abstract
BACKGROUND Cerebral microbleeds (CMBs) are associated with cognitive decline, but their importance outside of cerebral amyloid angiopathy and the mechanisms of their impact on cognition are poorly understood. We evaluated the cross-sectional association between CMB patterns and cerebral Aβ (amyloid-β) deposition, by florbetapir positron emission tomography. METHODS The longitudinal ARIC study (Atherosclerosis Risk in Communities) recruited individuals from 4 US communities from 1987 to 1989. From 2012 to 2014, the ARIC-PET (Atherosclerosis Risk in Communities - Positron Emission Tomography) ancillary recruited 322 nondemented ARIC participants who completed 3T brain magnetic resonance imaging with T2*GRE as part of ARIC visit 5 to undergo florbetapir positron emission tomography imaging. Magnetic resonance imaging images were read for CMBs and superficial siderosis; on positron emission tomography, global cortical standardized uptake value ratio >1.2 was considered a positive Aβ scan. Multivariable logistic regression models evaluated CMB characteristics in association with Aβ positivity. Effect modification by sex, race, APOE status, and cognition was evaluated. RESULTS CMBs were present in 24% of ARIC-PET participants. No significant associations were found between CMBs and Aβ positivity, but a pattern of isolated lobar CMBs or superficial siderosis was associated with over 4-fold higher odds of elevated Aβ when compared with those with no CMBs (odds ratio, 4.72 [95% CI, 1.16-19.16]). A similar elevated risk was not observed in those with isolated subcortical or mixed subcortical and either lobar CMBs or superficial siderosis. Although no significant interactions were found, effect estimates for elevated Aβ were nonsignificantly lower (P>0.10, odds ratio, 0.4-0.6) for a mixed CMB pattern, and odds ratios were nonsignificantly higher for lobar-only CMBs for 4 subgroups: women (versus men); Black participants (versus White participants), APOE ε4 noncarriers (versus carriers), and cognitively normal (versus mild cognitive impairment). CONCLUSIONS In this community-based cohort of nondemented adults, lobar-only pattern of CMBs or superficial siderosis is most strongly associated with brain Aβ, with no elevated risk for a mixed CMB pattern. Further studies are needed to understand differences in CMB patterns and their meaning across subgroups.
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Affiliation(s)
- Derrick N. Okine
- National Institute of Neurological Disorders and Stroke Intramural Research Program, NIH, Bethesda, MD
| | | | - Thomas H. Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS
| | - Dean F. Wong
- Department of Radiology, Washington University, St. Louis, MO
| | - Michelle C. Johansen
- Department of Neurology, The John Hopkins University School of Medicine, Baltimore, MD
| | - Keenan A. Walker
- National Institute on Aging Intramural Program, NIH, Baltimore, MD
| | | | | | - James R. Pike
- Gillings School of Global Public Health, University of North Carolina
| | | | - Rebecca F. Gottesman
- National Institute of Neurological Disorders and Stroke Intramural Research Program, NIH, Bethesda, MD
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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: 2.0] [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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Dondi F, Bertoli M, Lucchini S, Cerudelli E, Albano D, Bertagna F. PET imaging for the evaluation of cerebral amyloid angiopathy: a systematic review. Clin Transl Imaging 2022. [DOI: 10.1007/s40336-022-00511-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Abstract
Purpose
In the last years, the role of PET imaging in the assessment of cerebral amyloid angiopathy (CAA) is emerging. In this setting, some tracers have proven their utility for the evaluation of the disease (mainly 11C-Pittsburgh compound B [11C-PIB]), however, the value of other radiotracers has to be clarified. The aim of this systematic review is, therefore, to assess the role of PET imaging in the evaluation of CAA.
Methods
A wide literature search of the PubMed/MEDLINE, Scopus, Embase, Web of Science and Cochrane library databases was made to find relevant published articles about the diagnostic performance of PET imaging for the evaluation of CAA. Quality assessment including the risk of bias and applicability concerns was carried out using QUADAS-2 evaluation.
Results
The comprehensive computer literature search revealed 651 articles. On reviewing the titles and abstracts, 622 articles were excluded because the reported data were not within the field of interest. Twenty-nine studies were included in the review. In general, PET imaging with amyloid tracers revealed its value for the assessment of CAA, for its differential diagnosis and a correlation with some clinico-pathological features. With less evidence, a role for 18F-fluorodeoxiglucose (18F-FDG) and tau tracers is starting to emerge.
Conclusion
PET imaging demonstrated its utility for the assessment of CAA. In particular, amiloid tracers revealed higher retention in CAA patients, correlation with cerebral bleed, the ability to differentiate between CAA and other related conditions (such as Alzheimer's disease) and a correlation with some cerebrospinal fluid biomarkers.
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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.
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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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Michiels L, Dobbels L, Demeestere J, Demaerel P, Van Laere K, Lemmens R. Simplified Edinburgh and modified Boston criteria in relation to amyloid PET for lobar intracerebral hemorrhage. NEUROIMAGE: CLINICAL 2022; 35:103107. [PMID: 35853346 PMCID: PMC9421490 DOI: 10.1016/j.nicl.2022.103107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 06/28/2022] [Accepted: 07/10/2022] [Indexed: 11/26/2022] Open
Abstract
Amyloid PET was positive in 63% of patients with lobar ICH. Simplified Edinburgh criteria and amyloid PET have similar accuracy vs Boston criteria. Simplified Edinburgh and Boston criteria have similar accuracy vs amyloid PET. Amyloid PET could assist in diagnosing CAA.
Background Histopathological evidence of cerebral vascular amyloid β accumulation is the gold standard to diagnose cerebral amyloid angiopathy (CAA). Neuroimaging findings obtained with CT and MRI can suggest the presence of CAA when histopathology is lacking. We explored the role of amyloid PET in patients with lobar intracerebral hemorrhage (ICH) as this may provide molecular evidence for CAA as well. Methods In this retrospective, monocenter analysis, we included consecutive patients with non-traumatic lobar ICH who had undergone amyloid PET. We categorized patients according to amyloid PET status and compared demographics and neuroimaging findings. We calculated sensitivity and specificity of the simplified Edinburgh criteria and amyloid PET with probable modified Boston criteria as reference standard, as well as sensitivity and specificity of the simplified Edinburgh and modified Boston criteria with amyloid PET status as molecular marker for presence or absence of CAA. Results We included 38 patients of whom 24 (63%) were amyloid PET positive. Amyloid PET positive patients were older at presentation (p = 0.004). We observed no difference in prevalence of subarachnoid hemorrhages, fingerlike projections or microbleeds between both groups, but cortical superficial siderosis (p = 0.003) was more frequent in the amyloid PET positive group. In 5 out of 38 patients (13%), the modified Boston criteria were not fulfilled due to young age or concomitant vitamin K antagonist use with INR > 3.0. With the modified Boston criteria as reference standard, there was no difference in sensitivity nor specificity between the simplified Edinburgh criteria and amyloid PET status. With amyloid PET status as reference standard, there was also no difference in sensitivity nor specificity between the simplified Edinburgh and modified Boston criteria. Conclusions Amyloid PET was positive in 63% of lobar ICH patients. Under certain circumstances, patients might not be diagnosed with probable CAA according to the modified Boston criteria and in these cases, amyloid PET may be useful. Accuracy to predict CAA based on amyloid PET status did not differ between the simplified Edinburgh and modified Boston criteria.
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Planton M, Saint-Aubert L, Raposo N, Payoux P, Salabert AS, Albucher JF, Olivot JM, Péran P, Pariente J. Florbetapir Regional Distribution in Cerebral Amyloid Angiopathy and Alzheimer's Disease: A PET Study. J Alzheimers Dis 2021; 73:1607-1614. [PMID: 31958082 PMCID: PMC7081105 DOI: 10.3233/jad-190625] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background: Sporadic cerebral amyloid angiopathy shows progressive amyloid-β deposition in the wall of small arterioles and capillaries of the leptomeninges and cerebral cortex. Objective: To investigate whether amyloid load and distribution, assessed by florbetapir positron emission tomography (PET), differs between patients with probable CAA-related intracerebral hemorrhage (CAA-ICH) and mild cognitive impairment due to Alzheimer’s disease (MCI-AD). Methods: We assessed [18F]florbetapir uptake in 15 patients with probable CAA-ICH and 20 patients with MCI-AD patients. Global and regional florbetapir retention were assessed using standard uptake values ratio (SUVr) in region-based and voxel-wise approaches. Visual reading of florbetapir scans was performed for all participants. Group comparisons were performed using univariate and multivariate analysis. Results: Global florbetapir retention was lower in patients with CAA-ICH than MCI-AD (median SUVr, 1.33 [1.21–1.41] versus 1.44 [1.35–1.66]; p = 0.032). In the region-based analysis, regional florbetapir distribution was similar between the two groups. There was a trend for an increased occipital/global ratio in CAA-ICH patients compared to MCI-AD (p = 0.060). In the voxel-wise approach, two clusters, one in parietal regions and the other in temporal regions, had higher uptake in MCI-AD relative to CAA patients. Conclusions: Patients with CAA-ICH had a lower global florbetapir PET burden than patients with MCI-AD. Relative florbetapir retention in the posterior regions tended to be higher in CAA patients in region-based analysis but was not statistically different between groups. Investigation on differences in amyloid deposits distribution between groups required a fine-grained voxel-wise analysis. In future studies, selective amyloid tracers are needed to differentiate vascular from parenchymal amyloid.
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Affiliation(s)
- Mélanie Planton
- Department of Neurology, Toulouse University Hospital, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm UMR1214, UPS, Toulouse, France
| | - Laure Saint-Aubert
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm UMR1214, UPS, Toulouse, France.,Department of Nuclear Medicine, Imaging Center, Toulouse University Hospital, Toulouse, France
| | - Nicolas Raposo
- Department of Neurology, Toulouse University Hospital, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm UMR1214, UPS, Toulouse, France
| | - Pierre Payoux
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm UMR1214, UPS, Toulouse, France.,Department of Nuclear Medicine, Imaging Center, Toulouse University Hospital, Toulouse, France
| | - Anne-Sophie Salabert
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm UMR1214, UPS, Toulouse, France.,Department of Nuclear Medicine, Imaging Center, Toulouse University Hospital, Toulouse, France
| | - Jean-François Albucher
- Department of Neurology, Toulouse University Hospital, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm UMR1214, UPS, Toulouse, France
| | - Jean-Marc Olivot
- Department of Neurology, Toulouse University Hospital, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm UMR1214, UPS, Toulouse, France
| | - Patrice Péran
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm UMR1214, UPS, Toulouse, France
| | - Jérémie Pariente
- Department of Neurology, Toulouse University Hospital, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm UMR1214, UPS, Toulouse, France
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Wang ML, Yu MM, Wei XE, Li WB, Li YH. Association of enlarged perivascular spaces with Aβ and tau deposition in cognitively normal older population. Neurobiol Aging 2020; 100:32-38. [PMID: 33477009 DOI: 10.1016/j.neurobiolaging.2020.12.014] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 12/08/2020] [Accepted: 12/11/2020] [Indexed: 01/04/2023]
Abstract
The relationship between magnetic resonance imaging (MRI)-visible enlarged perivascular spaces (EPVS) and Aβ and tau deposition is poorly investigated in cognitively normal older population. In our study, a total of 106 cognitively normal older subjects from the Alzheimer's Disease Neuroimaging Initiative database were included. All the subjects underwent brain MRI, florbetapir positron emission tomography (PET), and flortaucipir PET examinations. EPVS were rated on MRI using a 5-point scale in the basal ganglia (BG-EPVS) and the centrum semiovale (CSO-EPVS). Our study revealed that 43 subjects had high-degree BG-EPVS (degree >1) and 58 subjects had high-degree CSO-EPVS (degree >1). In logistic regression, high degree of BG-EPVS was associated with age (odds ratio [OR]: 1.08, 95% confidence interval [CI]: 1.01-1.16) and severe deep white matter hyperintensity (OR: 2.67, 95% CI: 1.12-6.35). High degree of CSO-EPVS was associated with flortaucipir PET positivity (OR: 2.24, 95% CI: 1.02-4.93). In conclusion, high degree of CSO-EPVS was associated with tau deposition in the brain, whereas high degree of BG-EPVS was associated with age and severe deep white matter hyperintensity, a marker of small vessel disease.
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Affiliation(s)
- Ming-Liang Wang
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Meng-Meng Yu
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao-Er Wei
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen-Bin Li
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yue-Hua Li
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Kozberg MG, Perosa V, Gurol ME, van Veluw SJ. A practical approach to the management of cerebral amyloid angiopathy. Int J Stroke 2020; 16:356-369. [PMID: 33252026 DOI: 10.1177/1747493020974464] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Cerebral amyloid angiopathy is a common small vessel disease in the elderly involving vascular amyloid-β deposition. Cerebral amyloid angiopathy is one of the leading causes of intracerebral hemorrhage and a significant contributor to age-related cognitive decline. The awareness of a diagnosis of cerebral amyloid angiopathy is important in clinical practice as it impacts decisions to use lifelong anticoagulation or nonpharmacological alternatives to anticoagulation such as left atrial appendage closure in patients who have concurrent atrial fibrillation, another common condition in older adults. This review summarizes the latest literature regarding the management of patients with sporadic cerebral amyloid angiopathy, including diagnostic criteria, imaging biomarkers for cerebral amyloid angiopathy severity, and management strategies to decrease intracerebral hemorrhage risk. In a minority of patients, the presence of cerebral amyloid angiopathy triggers an autoimmune inflammatory reaction, referred to as cerebral amyloid angiopathy-related inflammation, which is often responsive to immunosuppressive treatment in the acute phase. Diagnosis and management of cerebral amyloid angiopathy-related inflammation will be presented separately. While there are currently no effective therapeutics available to cure or halt the progression of cerebral amyloid angiopathy, we discuss emerging avenues for potential future interventions.
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Affiliation(s)
- Mariel G Kozberg
- MassGeneral Institute for Neurodegenerative Disease, 2348Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA,USA
| | - Valentina Perosa
- MassGeneral Institute for Neurodegenerative Disease, 2348Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA,USA.,Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - M Edip Gurol
- Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA,USA
| | - Susanne J van Veluw
- MassGeneral Institute for Neurodegenerative Disease, 2348Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA,USA
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10
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Papanastasiou G, Rodrigues MA, Wang C, Heurling K, Lucatelli C, Salman RAS, Wardlaw JM, van Beek EJR, Thompson G. Pharmacokinetic modelling for the simultaneous assessment of perfusion and 18F-flutemetamol uptake in cerebral amyloid angiopathy using a reduced PET-MR acquisition time: Proof of concept. Neuroimage 2020; 225:117482. [PMID: 33157265 DOI: 10.1016/j.neuroimage.2020.117482] [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: 04/09/2020] [Revised: 09/24/2020] [Accepted: 10/19/2020] [Indexed: 01/05/2023] Open
Abstract
PURPOSE Cerebral amyloid angiopathy (CAA) is a cerebral small vessel disease associated with perivascular β-amyloid deposition. CAA is also associated with strokes due to lobar intracerebral haemorrhage (ICH). 18F-flutemetamol amyloid ligand PET may improve the early detection of CAA. We performed pharmacokinetic modelling using both full (0-30, 90-120 min) and reduced (30 min) 18F-flutemetamol PET-MR acquisitions, to investigate regional cerebral perfusion and amyloid deposition in ICH patients. METHODS Dynamic18F-flutemetamol PET-MR was performed in a pilot cohort of sixteen ICH participants; eight lobar ICH cases with probable CAA and eight deep ICH patients. A model-based input function (mIF) method was developed for compartmental modelling. mIF 1-tissue (1-TC) and 2-tissue (2-TC) compartmental modelling, reference tissue models and standardized uptake value ratios were assessed in the setting of probable CAA detection. RESULTS The mIF 1-TC model detected perfusion deficits and 18F-flutemetamol uptake in cases with probable CAA versus deep ICH patients, in both full and reduced PET acquisition time (all P < 0.05). In the reduced PET acquisition, mIF 1-TC modelling reached the highest sensitivity and specificity in detecting perfusion deficits (0.87, 0.77) and 18F-flutemetamol uptake (0.83, 0.71) in cases with probable CAA. Overall, 52 and 48 out of the 64 brain areas with 18F-flutemetamol-determined amyloid deposition showed reduced perfusion for 1-TC and 2-TC models, respectively. CONCLUSION Pharmacokinetic (1-TC) modelling using a 30 min PET-MR time frame detected impaired haemodynamics and increased amyloid load in probable CAA. Perfusion deficits and amyloid burden co-existed within cases with CAA, demonstrating a distinct imaging pattern which may have merit in elucidating the pathophysiological process of CAA.
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Affiliation(s)
- Giorgos Papanastasiou
- Edinburgh Imaging Facility, Queen's Medical Research Institute, The University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.
| | - Mark A Rodrigues
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
| | - Chengjia Wang
- Edinburgh Imaging Facility, Queen's Medical Research Institute, The University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
| | | | - Christophe Lucatelli
- Edinburgh Imaging Facility, Queen's Medical Research Institute, The University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
| | | | - Joanna M Wardlaw
- Edinburgh Imaging Facility, Queen's Medical Research Institute, The University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK; Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
| | - Edwin J R van Beek
- Edinburgh Imaging Facility, Queen's Medical Research Institute, The University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
| | - Gerard Thompson
- Edinburgh Imaging Facility, Queen's Medical Research Institute, The University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK; Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
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11
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Planton M, Pariente J, Nemmi F, Albucher JF, Calviere L, Viguier A, Olivot JM, Salabert AS, Payoux P, Peran P, Raposo N. Interhemispheric distribution of amyloid and small vessel disease burden in cerebral amyloid angiopathy-related intracerebral hemorrhage. Eur J Neurol 2020; 27:1664-1671. [PMID: 32394598 DOI: 10.1111/ene.14301] [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: 04/24/2020] [Accepted: 04/30/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND PURPOSE Intracerebral hemorrhage (ICH) is a devastating presentation of cerebral amyloid angiopathy (CAA), but the mechanisms leading from vascular amyloid deposition to ICH are not well known. Whether amyloid burden and magnetic resonance imaging (MRI) markers of small vessel disease (SVD) are increased in the ICH-affected hemisphere compared to the ICH-free hemisphere in patients with a symptomatic CAA-related ICH was investigated. METHODS Eighteen patients with CAA-related ICH and 18 controls with deep ICH who underwent brain MRI and amyloid positron emission tomography using 18 F-florbetapir were prospectively enrolled. In each hemisphere amyloid uptake using the standardized uptake value ratio and the burden of MRI markers of SVD including cerebral microbleeds, chronic ICH, cortical superficial siderosis, white matter hyperintensities and lacunes were evaluated. Interhemispheric comparisons were assessed by non-parametric matched-pair tests within each patient group. RESULTS Amyloid burden was similarly distributed across the brain hemispheres in patients with CAA-related ICH (standardized uptake value ratio 1.11 vs. 1.12; P = 0.74). Cortical superficial siderosis tended to be more common in the ICH-affected hemisphere compared to the ICH-free hemisphere (61% vs. 33%; P = 0.063). Other MRI markers of SVD did not differ across brain hemispheres. In controls with deep ICH, no interhemispheric difference was observed either for amyloid burden or for MRI markers of SVD. CONCLUSIONS Brain hemorrhage does not appear to be directly linked to amyloid burden in patients with CAA-related ICH. These findings provide new insights into the mechanisms leading to hemorrhage in CAA.
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Affiliation(s)
- M Planton
- Department of Neurology, Toulouse University Hospital, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - J Pariente
- Department of Neurology, Toulouse University Hospital, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - F Nemmi
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - J-F Albucher
- Department of Neurology, Toulouse University Hospital, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - L Calviere
- Department of Neurology, Toulouse University Hospital, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - A Viguier
- Department of Neurology, Toulouse University Hospital, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - J-M Olivot
- Department of Neurology, Toulouse University Hospital, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - A-S Salabert
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.,Department of Nuclear Medicine, Imaging Center, Toulouse University Hospital, Toulouse, France
| | - P Payoux
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.,Department of Nuclear Medicine, Imaging Center, Toulouse University Hospital, Toulouse, France
| | - P Peran
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - N Raposo
- Department of Neurology, Toulouse University Hospital, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
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12
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Conner SC, Pase MP, Carneiro H, Raman MR, McKee AC, Alvarez VE, Walker JM, Satizabal CL, Himali JJ, Stein TD, Beiser A, Seshadri S. Mid-life and late-life vascular risk factor burden and neuropathology in old age. Ann Clin Transl Neurol 2019; 6:2403-2412. [PMID: 31691546 PMCID: PMC6917310 DOI: 10.1002/acn3.50936] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 10/03/2019] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVE To determine whether vascular risk factor burden in mid- or late-life associates with postmortem vascular and neurodegenerative pathologies in a community-based sample. METHODS We studied participants from the Framingham Heart Study who participated in our voluntary brain bank program. Overall vascular risk factor burden was calculated using the Framingham Stroke Risk Profile (FSRP). Mid-life FSRP was measured at 50 to 60 years of age. Following death, brains were autopsied and semi-quantitatively assessed by board-certified neuropathologists for cerebrovascular outcomes (cortical infarcts, subcortical infarcts, atherosclerosis, arteriosclerosis) and Alzheimer's disease pathology (Braak stage, cerebral amyloid angiopathy, and neuritic plaque score). We estimated adjusted odds ratios between vascular risk burden (at mid-life and before death) and neuropathological outcomes using logistic and proportional-odds logistic models. RESULTS The median time interval between FSRP and death was 33.4 years for mid-life FSRP and 4.4 years for final FSRP measurement before death. Higher mid-life vascular risk burden was associated with increased odds of all cerebrovascular pathology, even with adjustment for vascular risk burden before death. Late-life vascular risk burden was associated with increased odds of cortical infarcts (OR [95% CI]: 1.04 [1.00, 1.08]) and arteriosclerosis stage (OR [95% CI]: 1.03 [1.00, 1.05]). Mid-life vascular risk burden was not associated with Alzheimer's disease pathology, though late-life vascular risk burden was associated with increased odds of higher Braak stage (OR [95% CI]: 1.03 [1.01, 1.05]). INTERPRETATION Mid-life vascular risk burden was predictive of cerebrovascular but not Alzheimer's disease neuropathology, even after adjustment for vascular risk factors before death.
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Affiliation(s)
- Sarah C. Conner
- Framingham Heart StudyFraminghamMassachusetts
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusetts
| | - Matthew P. Pase
- Framingham Heart StudyFraminghamMassachusetts
- Melbourne Dementia Research CentreThe Florey Institute for Neuroscience and Mental HealthMelbourneAustralia
- Centre for Human PsychopharmacologySwinburne University of TechnologyMelbourneAustralia
- Faculty of MedicineDentistry and Health SciencesThe University of MelbourneMelbourneAustralia
| | - Herman Carneiro
- Framingham Heart StudyFraminghamMassachusetts
- Department of MedicineBoston University School of MedicineBostonMassachusetts
| | - Mekala R. Raman
- Department of NeurologyBoston University School of MedicineBostonMassachusetts
| | - Ann C. McKee
- Department of NeurologyBoston University School of MedicineBostonMassachusetts
- Boston UniversityAlzheimer's Disease and CTE CenterBoston University School of MedicineBostonMassachusetts
- Department of Veterans Affairs Medical CenterBedfordMassachusetts
- VA Boston Healthcare SystemBostonMassachusetts
- Department of Pathology and Laboratory MedicineBoston University School of MedicineBostonMassachusetts
| | - Victor E. Alvarez
- Boston UniversityAlzheimer's Disease and CTE CenterBoston University School of MedicineBostonMassachusetts
- Department of Veterans Affairs Medical CenterBedfordMassachusetts
- VA Boston Healthcare SystemBostonMassachusetts
- Department of Pathology and Laboratory MedicineBoston University School of MedicineBostonMassachusetts
| | - Jamie M. Walker
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUT Health San AntonioSan AntonioTexas
| | - Claudia L. Satizabal
- Framingham Heart StudyFraminghamMassachusetts
- Department of NeurologyBoston University School of MedicineBostonMassachusetts
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUT Health San AntonioSan AntonioTexas
| | - Jayandra J. Himali
- Framingham Heart StudyFraminghamMassachusetts
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusetts
- Department of NeurologyBoston University School of MedicineBostonMassachusetts
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUT Health San AntonioSan AntonioTexas
| | - Thor D. Stein
- Boston UniversityAlzheimer's Disease and CTE CenterBoston University School of MedicineBostonMassachusetts
- Department of Veterans Affairs Medical CenterBedfordMassachusetts
- VA Boston Healthcare SystemBostonMassachusetts
- Department of Pathology and Laboratory MedicineBoston University School of MedicineBostonMassachusetts
| | - Alexa Beiser
- Framingham Heart StudyFraminghamMassachusetts
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusetts
- Department of NeurologyBoston University School of MedicineBostonMassachusetts
| | - Sudha Seshadri
- Framingham Heart StudyFraminghamMassachusetts
- Department of NeurologyBoston University School of MedicineBostonMassachusetts
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUT Health San AntonioSan AntonioTexas
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13
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Bermejo-Guerrero L, Sánchez-Tejerina D, Sánchez-Tornero M, Sánchez-Sánchez MDC, Gómez-Grande A, Villarejo-Galende A, Herrero-San Martín AO, González-Sánchez M. Low Amyloid-PET Uptake in Iowa-Type Cerebral Amyloid Angiopathy with Cerebral Venous Thrombosis. J Alzheimers Dis 2019; 72:677-681. [DOI: 10.3233/jad-190800] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
| | | | | | | | - Adolfo Gómez-Grande
- Nuclear Medicine Department, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Alberto Villarejo-Galende
- Neurology Department, Hospital Universitario 12 de Octubre, Madrid, Spain
- Group of Neurodegenerative Diseases, Hospital 12 de Octubre Research Institute (i+12), Madrid, Spain
- Biomedical Research Networking Center in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
- Complutense University of Madrid, Madrid, Spain
| | - Alejandro Octavio Herrero-San Martín
- Neurology Department, Hospital Universitario 12 de Octubre, Madrid, Spain
- Group of Neurodegenerative Diseases, Hospital 12 de Octubre Research Institute (i+12), Madrid, Spain
- Biomedical Research Networking Center in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Marta González-Sánchez
- Neurology Department, Hospital Universitario 12 de Octubre, Madrid, Spain
- Group of Neurodegenerative Diseases, Hospital 12 de Octubre Research Institute (i+12), Madrid, Spain
- Biomedical Research Networking Center in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
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14
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Gurol ME, Biessels GJ, Polimeni JR. Advanced Neuroimaging to Unravel Mechanisms of Cerebral Small Vessel Diseases. Stroke 2019; 51:29-37. [PMID: 31752614 DOI: 10.1161/strokeaha.119.024149] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- M Edip Gurol
- From the Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (M.E.G.)
| | - Geert J Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, the Netherlands (G.J.B.)
| | - Jonathan R Polimeni
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown (J.R.P.).,Department of Radiology, Harvard Medical School, Boston, MA (J.R.P.).,Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA (J.P.R.)
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15
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Raposo N, Planton M, Payoux P, Péran P, Albucher JF, Calviere L, Viguier A, Rousseau V, Hitzel A, Chollet F, Olivot JM, Bonneville F, Pariente J. Enlarged perivascular spaces and florbetapir uptake in patients with intracerebral hemorrhage. Eur J Nucl Med Mol Imaging 2019; 46:2339-2347. [PMID: 31359110 DOI: 10.1007/s00259-019-04441-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 07/16/2019] [Indexed: 12/14/2022]
Abstract
PURPOSE Enlarged perivascular spaces in the centrum semiovale (CSO-EPVS) have been linked to cerebral amyloid angiopathy (CAA). To get insight into the underlying mechanisms of this association, we investigated the relationship between amyloid-β deposition assessed by 18F-florbetapir PET and CSO-EPVS in patients with acute intracerebral hemorrhage (ICH). METHODS We prospectively enrolled 18 patients with lobar ICH (suggesting CAA) and 20 with deep ICH (suggesting hypertensive angiopathy), who underwent brain MRI and 18F-florbetapir PET. EPVS were assessed on MRI using a validated 4-point visual rating scale in the centrum semiovale and the basal ganglia (BG-EPVS). PET images were visually assessed, blind to clinical and MRI data. We evaluated the association between florbetapir PET positivity and high degree (score> 2) of CSO-EPVS and BG-EPVS. RESULTS High CSO-EPVS degree was more common in patients with lobar ICH than deep ICH (55.6% vs. 20.0%; p = 0.02). Eight (57.1%) patients with high CSO-EPVS degree had a positive florbetapir PET compared with 4 (16.7%) with low CSO-EPVS degree (p = 0.01). In contrast, prevalence of florbetapir PET positivity was similar between patients with high vs. low BG-EPVS. In multivariable analysis adjusted for age, hypertension, and MRI markers of CAA, florbetapir PET positivity (odds ratio (OR) 6.44, 95% confidence interval (CI) 1.32-38.93; p = 0.03) was independently associated with high CSO-EPVS degree. CONCLUSIONS Among patients with spontaneous ICH, high degree of CSO-EPVS but not BG-EPVS is associated with amyloid PET positivity. The findings provide further evidence that CSO-EPVS are markers of vascular amyloid burden that may be useful in diagnosing CAA.
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Affiliation(s)
- Nicolas Raposo
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France. .,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.
| | - Mélanie Planton
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Pierre Payoux
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.,Department of Nuclear Medicine, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Patrice Péran
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Jean François Albucher
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Lionel Calviere
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Alain Viguier
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Vanessa Rousseau
- Department of Epidemiology, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Anne Hitzel
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.,Department of Nuclear Medicine, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - François Chollet
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Jean Marc Olivot
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Fabrice Bonneville
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.,Department of Neuroradiology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Jérémie Pariente
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
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16
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van Veluw SJ, Scherlek AA, Freeze WM, Ter Telgte A, van der Kouwe AJ, Bacskai BJ, Frosch MP, Greenberg SM. Different microvascular alterations underlie microbleeds and microinfarcts. Ann Neurol 2019; 86:279-292. [PMID: 31152566 DOI: 10.1002/ana.25512] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 05/29/2019] [Accepted: 05/29/2019] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Cerebral amyloid angiopathy (CAA) is characterized by the accumulation of amyloid β (Aβ) in the walls of cortical vessels and the accrual of microbleeds and microinfarcts over time. The relationship between CAA severity and microbleeds and microinfarcts as well as the sequence of events that lead to lesion formation remain poorly understood. METHODS We scanned intact formalin-fixed hemispheres of 12 CAA cases with magnetic resonance imaging (MRI), followed by histopathological examination in predefined areas and serial sectioning in targeted areas with multiple lesions. RESULTS In total, 1,168 cortical microbleeds and 472 cortical microinfarcts were observed on ex vivo MRI. Increasing CAA severity at the whole-brain or regional level was not associated with the number of microbleeds or microinfarcts. However, locally, the density of Aβ-positive cortical vessels was lower surrounding a microbleed compared to a simulated control lesion, and higher surrounding microinfarcts. Serial sectioning revealed that for (n = 28) microbleeds, both Aβ (4%) and smooth muscle cells (4%) were almost never present in the vessel wall at the site of bleeding, but Aβ was frequently observed upstream or downstream (71%), as was extensive fibrin(ogen) buildup (87%). In contrast, for (n = 22) microinfarcts, vascular Aβ was almost always observed at the core of the lesion (91%, p < 0.001) as well as upstream or downstream (82%), but few vessels associated with microinfarcts had intact smooth muscle cells (9%). INTERPRETATION These observations provide a model for how a single neuropathologic process such as CAA may result in hemorrhagic or ischemic brain lesions potentially through 2 different mechanistic pathways. ANN NEUROL 2019;86:279-292.
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Affiliation(s)
- Susanne J van Veluw
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA.,J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Ashley A Scherlek
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA
| | - Whitney M Freeze
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA.,Department of Psychiatry and Neuropsychology, Maastricht University, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht, the Netherlands
| | - Annemieke Ter Telgte
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA.,Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Andre J van der Kouwe
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA
| | - Brian J Bacskai
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA
| | - Matthew P Frosch
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA.,Neuropathology Service, C. S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Steven M Greenberg
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
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17
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Clinical significance of amyloid β positivity in patients with probable cerebral amyloid angiopathy markers. Eur J Nucl Med Mol Imaging 2019; 46:1287-1298. [DOI: 10.1007/s00259-019-04314-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 03/12/2019] [Indexed: 10/27/2022]
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18
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Cuadrado-Godia E, Dwivedi P, Sharma S, Ois Santiago A, Roquer Gonzalez J, Balcells M, Laird J, Turk M, Suri HS, Nicolaides A, Saba L, Khanna NN, Suri JS. Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies. J Stroke 2018; 20:302-320. [PMID: 30309226 PMCID: PMC6186915 DOI: 10.5853/jos.2017.02922] [Citation(s) in RCA: 152] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Accepted: 04/02/2018] [Indexed: 12/15/2022] Open
Abstract
Cerebral small vessel disease (cSVD) has a crucial role in lacunar stroke and brain hemorrhages and is a leading cause of cognitive decline and functional loss in elderly patients. Based on underlying pathophysiology, cSVD can be subdivided into amyloidal and non-amyloidal subtypes. Genetic factors of cSVD play a pivotal role in terms of unraveling molecular mechanism. An important pathophysiological mechanism of cSVD is blood-brain barrier leakage and endothelium dysfunction which gives a clue in identification of the disease through circulating biological markers. Detection of cSVD is routinely carried out by key neuroimaging markers including white matter hyperintensities, lacunes, small subcortical infarcts, perivascular spaces, cerebral microbleeds, and brain atrophy. Application of neural networking, machine learning and deep learning in image processing have increased significantly for correct severity of cSVD. A linkage between cSVD and other neurological disorder, such as Alzheimer's and Parkinson's disease and non-cerebral disease, has also been investigated recently. This review draws a broad picture of cSVD, aiming to inculcate new insights into its pathogenesis and biomarkers. It also focuses on the role of deep machine strategies and other dimensions of cSVD by linking it with several cerebral and non-cerebral diseases as well as recent advances in the field to achieve sensitive detection, effective prevention and disease management.
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Affiliation(s)
- Elisa Cuadrado-Godia
- Department of Neurology, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | | | - Sanjiv Sharma
- Department of Computer Science & Engineering and Information Technology, Madhav Institute of Technology and Science, Gwalior, India
| | - Angel Ois Santiago
- Department of Neurology, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Jaume Roquer Gonzalez
- Department of Neurology, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Mercedes Balcells
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.,Department of Biological Engineering, IQS School of Engineering, Barcelona, Spain
| | - John Laird
- Department of Cardiology, St. Helena Hospital, St. Helena, CA, USA
| | - Monika Turk
- Deparment of Neurology, University Medical Centre Maribor, Maribor, Slovenia
| | | | | | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria, Cagliari, Italy
| | | | - Jasjit S Suri
- Stroke Monitoring Division, AtheroPoint, Roseville, CA, USA
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19
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Renard D, Tatu L, Collombier L, Wacongne A, Ayrignac X, Charif M, Boukriche Y, Chiper L, Fourcade G, Azakri S, Gaillard N, Mercier E, Lehmann S, Thouvenot E. Cerebral Amyloid Angiopathy and Cerebral Amyloid Angiopathy-Related Inflammation: Comparison of Hemorrhagic and DWI MRI Features. J Alzheimers Dis 2018; 64:1113-1121. [DOI: 10.3233/jad-180269] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Dimitri Renard
- Department of Neurology, Nîmes University Hospital, Nîmes, France
| | - Lavinia Tatu
- Department of Neurology, Nîmes University Hospital, Nîmes, France
| | - Laurent Collombier
- Department of Nuclear Medicine, Nîmes University Hospital, Nîmes, France
| | - Anne Wacongne
- Department of Neurology, Nîmes University Hospital, Nîmes, France
| | - Xavier Ayrignac
- Department of Neurology, Montpellier University Hospital, Montpellier, France
| | - Mahmoud Charif
- Department of Neurology, Montpellier University Hospital, Montpellier, France
| | | | | | | | - Souhayla Azakri
- Department of Neurology, Montpellier University Hospital, Montpellier, France
| | | | - Erick Mercier
- Department of Hematology, Nîmes University Hospital, Nîmes, France
| | - Sylvain Lehmann
- Laboratoire de Biochimie-Protéomique Clinique – IRMB – CRB - Inserm U11183, CHU Montpellier, Hôpital St-Eloi - Université Montpellier, France
| | - Eric Thouvenot
- Department of Neurology, Nîmes University Hospital, Nîmes, France
- Institut de Génomique Fonctionnelle, UMR5203, Université Montpellier, Montpellier, France
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20
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Weber SA, Patel RK, Lutsep HL. Cerebral amyloid angiopathy: diagnosis and potential therapies. Expert Rev Neurother 2018; 18:503-513. [DOI: 10.1080/14737175.2018.1480938] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Affiliation(s)
- Stewart A. Weber
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA
| | - Ranish K. Patel
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA
| | - Helmi L. Lutsep
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA
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21
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Charidimou A, Farid K, Tsai HH, Tsai LK, Yen RF, Baron JC. Amyloid-PET burden and regional distribution in cerebral amyloid angiopathy: a systematic review and meta-analysis of biomarker performance. J Neurol Neurosurg Psychiatry 2018; 89:410-417. [PMID: 29070646 DOI: 10.1136/jnnp-2017-316851] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Revised: 08/28/2017] [Accepted: 10/02/2017] [Indexed: 11/04/2022]
Abstract
INTRODUCTION We performed a meta-analysis to synthesise current evidence on amyloid-positron emission tomography (PET) burden and presumed preferential occipital distribution in sporadic cerebral amyloid angiopathy (CAA). METHODS In a PubMed systematic search, we identified case-control studies with extractable data on global and occipital-to-global amyloid-PET uptake in symptomatic patients with CAA (per Boston criteria) versus control groups (healthy participants or patients with non-CAA deep intracerebral haemorrhage) and patients with Alzheimer's disease. To circumvent PET studies' methodological variation, we generated and used 'fold change', that is, ratio of mean amyloid uptake (global and occipital-to-global) of CAA relative to comparison groups. Amyloid-PET uptake biomarker performance was then quantified by random-effects meta-analysis on the ratios of the means. A ratio >1 indicates that amyloid-PET uptake (global or occipital/global) is higher in CAA than comparison groups, and a ratio <1 indicates the reverse. RESULTS Seven studies, including 106 patients with CAA (>90% with probable CAA) and 138 controls (96 healthy elderly, 42 deep intracerebral haemorrhage controls) and 72 patients with Alzheimer's disease, were included. Global amyloid-PET ratio between patients with CAA and controls was above 1, with an average effect size of 1.18 (95% CI 1.08 to 1.28; p<0.0001). Occipital-to-global amyloid-PET uptake ratio did not differ between patients with CAA versus patients with deep intracerebral haemorrhage or healthy controls. By contrast, occipital-to-global amyloid-PET uptake ratio was above 1 in patients with CAA versus those with Alzheimer's disease, with an average ratio of 1.10 (95% CI 1.03 to 1.19; p=0.009) and high statistical heterogeneity. CONCLUSIONS Our analysis provides exploratory actionable data on the overall effect sizes and strength of amyloid-PET burden and distribution in patients with CAA, useful for future larger studies.
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Affiliation(s)
- Andreas Charidimou
- Hemorrhagic Stroke Research Group, Department of Neurology, J Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Karim Farid
- Department of Nuclear Medicine, Martinique University Hospital, Fort-de-France, French West Indies
| | - Hsin-Hsi Tsai
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Li-Kai Tsai
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Rouh-Fang Yen
- Department of Nuclear Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Molecular Imaging Center, National Taiwan University, Taipei, Taiwan
| | - Jean-Claude Baron
- Department of Neurology, Centre Hospitalier Sainte Anne, Sorbonne Paris Cité, Paris, France
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Planton M, Raposo N, Albucher JF, Pariente J. Cerebral amyloid angiopathy-related cognitive impairment: The search for a specific neuropsychological pattern. Rev Neurol (Paris) 2017; 173:562-565. [DOI: 10.1016/j.neurol.2017.09.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Revised: 09/11/2017] [Accepted: 09/12/2017] [Indexed: 10/18/2022]
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Charidimou A, Farid K, Baron JC. Amyloid-PET in sporadic cerebral amyloid angiopathy: A diagnostic accuracy meta-analysis. Neurology 2017; 89:1490-1498. [PMID: 28855406 DOI: 10.1212/wnl.0000000000004539] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Accepted: 06/02/2017] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To perform a meta-analysis synthesizing evidence of the value and accuracy of amyloid-PET in diagnosing patients with sporadic cerebral amyloid angiopathy (CAA). METHODS In a PubMed systematic literature search, we identified all case-control studies with extractable data relevant for the sensitivity and specificity of amyloid-PET positivity in symptomatic patients with CAA (cases) vs healthy participants or patients with spontaneous deep intracerebral hemorrhage (ICH) (control groups). Using a hierarchical (multilevel) logistic regression model, we calculated pooled diagnostic test accuracy. RESULTS Seven studies, including 106 patients with CAA (>90% with probable CAA) and 151 controls, were eligible and included in the meta-analysis. The studies were of moderate to high quality and varied in several methodological aspects, including definition of PET-positive and PET-negative cases and relevant cutoffs. The sensitivity of amyloid-PET for CAA diagnosis ranged from 60% to 91% and the specificity from 56% to 90%. The overall pooled sensitivity was 79% (95% confidence interval [CI] 62-89) and specificity was 78% (95% CI 67-86) for CAA diagnosis. A predefined subgroup analysis of studies restricted to symptomatic patients presenting with lobar ICH CAA (n = 58 vs 86 controls) resulted in 79% sensitivity (95% CI 61-90%) and 84% specificity (95% CI 65-93%). In prespecified bivariate diagnostic accuracy meta-analysis of 2 studies using 18F-florbetapir-PET, the sensitivity for CAA-ICH diagnosis was 90% (95% CI 76-100%) and specificity was 88% (95% CI 74-100%). CONCLUSIONS Amyloid-PET appears to have moderate to good diagnostic accuracy in differentiating patients with probable CAA from cognitively normal healthy controls or patients with deep ICH. Given that amyloid-PET labels both cerebrovascular and parenchymal amyloid, a negative scan might be useful to rule out CAA in the appropriate clinical setting.
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Affiliation(s)
- Andreas Charidimou
- From the Massachusetts General Hospital (A.C.), Stroke Research Center, Harvard Medical School, Boston; Department of Nuclear Medicine (K.F.), Martinique University Hospital, Fort-de-France, French West Indies; and Department of Neurology (J.-C.B.), Centre Hospitalier Sainte Anne, Inserm U894, Sorbonne Paris Cité, France.
| | - Karim Farid
- From the Massachusetts General Hospital (A.C.), Stroke Research Center, Harvard Medical School, Boston; Department of Nuclear Medicine (K.F.), Martinique University Hospital, Fort-de-France, French West Indies; and Department of Neurology (J.-C.B.), Centre Hospitalier Sainte Anne, Inserm U894, Sorbonne Paris Cité, France
| | - Jean-Claude Baron
- From the Massachusetts General Hospital (A.C.), Stroke Research Center, Harvard Medical School, Boston; Department of Nuclear Medicine (K.F.), Martinique University Hospital, Fort-de-France, French West Indies; and Department of Neurology (J.-C.B.), Centre Hospitalier Sainte Anne, Inserm U894, Sorbonne Paris Cité, France
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