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1 matter hyperintensities (WMH), lacunes, and microbleeds.
2 ging scanner to 222 patients with AD without microbleeds.
3 ated in a separate group of patients without microbleeds.
4 on, haemosiderin leakage, microinfarcts, and microbleeds.
5 to assess the presence of microinfarcts and microbleeds.
6 2 lesion volume, brain atrophy, and cerebral microbleeds.
7 or 'punctate' petechial-appearing traumatic microbleeds.
8 SWI is a highly sensitive way of identifying microbleeds.
9 yze the spatial relationship between CAA and microbleeds.
10 bral haemorrhage in the presence of cerebral microbleeds.
11 people, including 192 with multiple (>or=2) microbleeds.
12 a surrogate markers of axonal injury such as microbleeds.
13 ith amyloid-beta on tau after accounting for microbleeds.
14 ring blood vessel homeostasis and preventing microbleeds.
15 ed with the occurrence of new postprocedural microbleeds.
16 ed with the occurrence of new postprocedural microbleeds.
17 4 of 5 incident lacunes and 3 of 10 incident microbleeds.
18 tients with punctate versus linear appearing microbleeds.
19 re used for subsequent analysis of traumatic microbleeds.
20 matter hyperintensities volume and cerebral microbleeds.
21 vascular sealing and provoking inflammatory microbleeding.
22 of cerebral microbleeds (SHR for >5 cerebral microbleeds 2.33, 1.38-3.94), and older age (SHR per 10-
23 that of ischemic stroke in those with 2 to 4 microbleeds (25 vs 12 per 1,000 patient-years) and >= 11
24 ranial haemorrhage (for ten or more cerebral microbleeds, 64 ischaemic strokes [95% CI 48-84] per 100
25 er 1000 patient-years; and for >=20 cerebral microbleeds, 73 ischaemic strokes [46-108] per 1000 pati
27 analysis based on the presence or absence of microbleeds (a marker of diffuse axonal injury) revealed
28 progress to infarction and detects cerebral microbleeds - a risk factor for intracranial hemorrhage.
29 eGFR was lower in those with strictly lobar microbleeds (adjusted mean difference (aMD) -2.10 mL/min
30 ted risk ratio, 2.54; 95% CI, 1.76-3.68) and microbleeds (adjusted risk ratio, 1.43; 95% CI, 1.18-1.7
31 k of stroke in comparison with those without microbleeds, adjusting for demographic, genetic, and car
33 ischaemic stroke (for five or more cerebral microbleeds, aHR 4.55 [95% CI 3.08-6.72] for intracrania
34 r ischaemic stroke; for ten or more cerebral microbleeds, aHR 5.52 [3.36-9.05] vs 1.43 [1.07-1.91]; a
35 ] vs 1.43 [1.07-1.91]; and for >=20 cerebral microbleeds, aHR 8.61 [4.69-15.81] vs 1.86 [1.23-1.82]).
36 crobleeds, confirming that WMH, lacunes, and microbleeds, although heterogeneous on MRI, can have a c
38 .73 cm(2) (95% CI -3.39 to -0.81)) and mixed microbleeds (aMD -2.42 (95% CI -3.70 to -1.15)), but not
42 ssifiers discriminated between patients with microbleeds and age-matched controls with a high degree
43 e observed a significant interaction between microbleeds and amyloid-beta pathology on greater baseli
45 t in emphasis towards neuroimaging, cerebral microbleeds and diagnostic aspects and away from patholo
48 The relationship between CAA severity and microbleeds and microinfarcts as well as the sequence of
49 basis of magnetic resonance imaging-defined microbleeds and microinfarcts in cerebral amyloid angiop
52 arcts, between diagnosis of AD and number of microbleeds and number of microinfarcts, and between cog
55 s a modest correlation between the number of microbleeds and the number of cognitive domains impaired
57 (FDG-PET), and presence and distribution of microbleeds and white matter hyperintensities (WMHs) wer
58 ations of cerebral small vessel disease (eg, microbleeds and white matter hyperintensities in strateg
61 and volume; perivascular spaces; lacunes and microbleeds), and vascular risk measures were assessed i
62 acune (3 with cavity <3mm), 3 evolved into a microbleed, and 27 were not detectable on follow-up.
63 imaging, with white matter hyperintensities, microbleeds, and brain atrophy reflecting key structural
65 (ml/mo), and number of incident lacunes and microbleeds, and calculated for each marker the proporti
66 hyperlipidaemia, prior stroke, lacunes, deep microbleeds, and carry the apolipoprotein E varepsilon3
67 covert brain infarcts, white matter lesions, microbleeds, and cortical microinfarcts, are also common
68 r hyperintensities (WMH), infarcts, cerebral microbleeds, and enlarged perivascular spaces (PVS), as
69 line MRI allowing quantification of cerebral microbleeds, and followed-up participants for ischaemic
70 icrovascular (subcortical infarcts, cerebral microbleeds, and higher white matter lesion volume), and
71 s (WMH), enlarged perivascular spaces (PVS), microbleeds, and infarcts emerge in relation to demograp
73 lated perivascular spaces, lacunar infarcts, microbleeds, and spontaneous intracerebral hemorrhage.
74 lar amyloid accumulation, neuroinflammation, microbleeds, and white matter (WM) degeneration, is a co
75 LNCCIs), small noncortical infarcts (SNCIs), microbleeds, and white matter lesions were quantified by
78 roke or transient ischaemic attack, cerebral microbleeds are associated with a greater relative hazar
87 bral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurr
88 ds cannot be excluded, recognizing traumatic microbleeds as a form of traumatic vascular injury may a
90 vasculature has facilitated the detection of microbleeds associated with long-term effects of radiati
92 inal analysis restricted to subjects without microbleed at baseline, COPD was an independent predicto
93 sessed the presence, number, and location of microbleeds at baseline (August 2005 to December 2011) o
94 s with an intracerebral hemorrhage had lobar microbleeds at baseline; 4 of them used antithrombotics.
96 hm identifies the anatomical localization of microbleeds based on brain atlases, and greatly reduces
97 s typical of hypertensive arteriopathy: deep microbleeds (beta=0.63, F(1,35)=35.24, p<0.001), deep WM
99 Serial sectioning revealed that for (n = 28) microbleeds, both Abeta (4%) and smooth muscle cells (4%
100 The aHR increased with increasing cerebral microbleed burden for intracranial haemorrhage but this
102 a higher risk of recurrent stroke and higher microbleeds burden, compared with those with normal kidn
104 angiopathy, CAA) is associated with cerebral microbleeds, but the precise relationship between CAA bu
105 r particular anatomical patterns of cerebral microbleeds can identify ischaemic stroke or transient i
107 axonal injury in association with traumatic microbleeds cannot be excluded, recognizing traumatic mi
108 e cerebral parameters (white matter lesions, microbleeds), cardiovascular parameters (carotid plaque,
110 mal, subarachnoid, or subdural, and cerebral microbleed [CMB]).Twenty-six patients with COVID-19 ARDS
113 (>40 EPVS)), white-matter changes, cerebral microbleeds (CMBs) and lacunes were rated using validate
119 agnetic resonance imaging to detect cerebral microbleeds (CMBs) as a marker of occult hemorrhage.
120 prevalence of brain infarctions and cerebral microbleeds (CMBs) between breast cancer survivors expos
121 We aimed to analyse the impact of cerebral microbleeds (CMBs) burden on HT subtypes and outcome aft
125 ntally and was also associated with cerebral microbleeds (CMBs) in our population-based cohort study.
126 , to assess whether the presence of cerebral microbleeds (CMBs) on prethrombolysis MRI scans is assoc
128 silon4 allele shows male excess for cerebral microbleeds (CMBs), a marker of SVD, which is opposite t
132 tem imaging and histology revealed traumatic microbleed co-localization with iron-laden macrophages,
133 Imaging of the blood-brain barrier, cerebral microbleeds, coexistent ischemia, associated vascular le
134 ive cortical vessels was lower surrounding a microbleed compared to a simulated control lesion, and h
136 n = 165) had a higher prevalence of cerebral microbleeds compared with subjects with normal lung func
137 sonance imaging we observed an additional 48 microbleeds (compared to high resolution), which proved
138 l cavities, and almost one-third of incident microbleeds, confirming that WMH, lacunes, and microblee
139 patients with microbleeds (n = 25) and a non-microbleed control group (n = 30) matched for age, gende
140 gic lesions (ARIA-H) in the form of cerebral microbleeds, convexity subarachnoid haemorrhage, cortica
142 Brain MRIs were rated for lobar cerebral microbleeds, cortical superficial siderosis, centrum sem
143 in injury, including strictly lobar cerebral microbleeds, cortical superficial siderosis, centrum sem
144 s characterized by individual focal lesions (microbleeds, cortical superficial siderosis, microinfarc
150 white matter damage in 25 TBI patients with microbleed evidence of TAI compared to neurologically he
151 with traumatic brain injury, 21 of whom had microbleed evidence of traumatic axonal injury, and 25 a
152 anced iron imaging, facilitating amyloid and microbleed examination; for example, higher microbleed p
153 white matter connectivity matrices from the microbleed group were able to identify patients with a h
154 ge, clinical measures of injury severity and microbleeds (>50% for fractional anisotropy versus <5% f
156 injury, whilst 40% of patients with visible microbleeds had no diffusion evidence of axonal injury.
159 rd ratio 2.50, P = 0.038), exclusively lobar microbleeds (hazard ratio 2.22, P = 0.008) and presence
160 sociated with white matter lesions, cerebral microbleeds, hypertension, diabetes and ischemic heart d
162 d in 387 patients (22%), SNCIs in 368 (21%), microbleeds in 372 (22%), and white matter lesions in 17
164 OPD had a significantly higher prevalence of microbleeds in deep or infratentorial locations (OR, 3.3
165 n independent predictor of incident cerebral microbleeds in deep or infratentorial locations (OR, 7.1
167 diation on cumulative number and location of microbleeds in each brain region, and multiple linear re
169 those without microbleeds, participants with microbleeds in locations suggestive of cerebral amyloid
170 4; 95% CI, -0.64 to -0.03; P = .03), whereas microbleeds in other brain regions were associated with
172 -dimensional T2*-weighted neuroimaging: more microbleeds in patients who are aging or with dementia o
173 to: (i) identify and characterize traumatic microbleeds in patients with acute traumatic brain injur
174 uited to the CROMIS-2 (Clinical Relevance of Microbleeds in Stroke) ICH study were included (mean age
176 of OAC from CROMIS-2 (Clinical Relevence Of Microbleeds In Stroke-2), a prospective observational in
178 Patients with executive dysfunction had more microbleeds in the frontal region (mean count 1.54 versu
179 rucial clinical question is whether cerebral microbleeds indicate patients with recent ischaemic stro
180 used pooled individual patient data from the Microbleeds International Collaborative Network, includi
183 markers (white matter hyperintensity - WMH, microbleeds, lacunes, enlarged perivascular spaces, brai
190 with CAA-ri had more numerous lobar cerebral microbleeds (median 207[IQR 33-811] vs 19[IQR 7-58], p <
192 tly have more white matter hyperintensities, microbleeds, microinfarctions and cerebral atrophy on ma
193 January 2, 2002, and December 16, 2009, and microbleeds (n = 111) and matched those (1:2) for age, s
196 te matter disease (n=5), haemorrhages (n=4), microbleeds (n=1), hippocampal microvasculature (n=1).
197 [0.13-4.61]; p(interaction)=0.41), cerebral microbleed number 0-1 versus 2-4 versus 5 or more (HR 0.
201 and the presence of strictly lobar cerebral microbleeds (odds ratio 3.85, 95% confidence interval 1.
203 ven cerebral amyloid angiopathy and multiple microbleeds on in vivo clinical magnetic resonance imagi
204 In conclusion, these findings suggest that microbleeds on in vivo magnetic resonance imaging are sp
205 ion in primary subgroup analyses of cerebral microbleeds on MRI and in exploratory subgroup analyses
209 tiple linear regression was used to evaluate microbleeds on neurocognitive outcomes, adjusting for ag
211 171 microbleeds were detected compared to 66 microbleeds on the corresponding in vivo magnetic resona
214 establish whether a large burden of cerebral microbleeds or particular anatomical patterns of cerebra
217 ties (OR, 1.29; 95% CI, 1.19-1.39), cerebral microbleeds (OR, 1.18; 95% CI, 1.03-1.34), and cerebral
219 atter hyperintensities, small deep infarcts, microbleeds, or enlarged perivascular spaces) to severe
222 tern correlated strongly with lobar cerebral microbleeds (P < 0.001, age and sex adjusted Cohen's d =
223 tricular hemorrhage (p = 0.019), presence of microbleeds (p = 0.024), and large, early reductions in
224 or stroke (p = 0.012), presence of 1 or more microbleeds (p = 0.04), black race (p = 0.641), and pres
228 ive dysfunction, which was present in 60% of microbleed patients compared with 30% of non-microbleed
229 classifiers were applied to patients without microbleeds, patients having likely TAI showed evidence
230 cal and subcortical infarcts, microinfarcts, microbleeds, perivascular spacing, and white matter atte
231 cerebrovascular diseases, including cerebral microbleeds, porencephaly, and fatal intracerebral hemor
232 i) determine whether appearance of traumatic microbleeds predict clinical outcome; and (iii) describe
234 age in primary subgroup analyses of cerebral microbleed presence (2 or more) versus absence (0 or 1)
237 acranial haemorrhage, regardless of cerebral microbleed presence, antomical distribution, or burden.
241 microbleed examination; for example, higher microbleed prevalence was found in AD than previously re
243 mber and anatomical distribution of cerebral microbleeds reliably using consensus criteria and valida
244 fidence interval (CI): 0.61, 1.10), cerebral microbleeds (RR = 0.69, 95% CI: 0.37, 1.32), total brain
245 enic edema and multiple cortical/subcortical microbleeds, sharing several aspects with the recently d
246 .61, 1.70-4.01), a higher number of cerebral microbleeds (SHR for >5 cerebral microbleeds 2.33, 1.38-
247 , lacunes, chronic infarctions, and [on MRI] microbleeds, siderosis, and enlarged perivascular spaces
249 d MRI images, PiB retention was increased at microbleed sites compared to simulated control lesions (
251 .07-1.60]; p(interaction)=0.75), or cerebral microbleed strictly lobar versus other location (HR 0.52
252 ions strongly correlated with lobar cerebral microbleeds suggesting that cerebral amyloid angiopathy
253 iated with white matter changes and cerebral microbleeds, suggesting that they result from an occlusi
258 ratio [aHR] comparing patients with cerebral microbleeds to those without was 1.35 (95% CI 1.20-1.50)
259 ures of infarct-like brain lesions, cerebral microbleeds, total brain volume, and white matter lesion
262 nsity volume, subcortical infarcts, cerebral microbleeds, Virchow-Robin spaces, and total brain paren
263 imately 20 to 40 msec, the measured cerebral microbleed volume increased by mean factors of 1.49 +/-
264 tibility over a region containing a cerebral microbleed was also estimated on QSM images as its total
267 rence of cortical microinfarcts and cerebral microbleeds was assessed on fluid-attenuated inversion r
268 n patients with AD, the presence of nonlobar microbleeds was associated with an increased risk for ca
271 ultivariable models, the absence of cerebral microbleeds was associated with larger ICH volume for bo
272 obar ICH volume, and the absence of cerebral microbleeds was associated with larger lobar and deep IC
277 Study, the presence, number, and location of microbleeds were assessed at baseline on brain MRI of 47
279 , 33.9; 95% CI, 2.5-461.7), whereas nonlobar microbleeds were associated with an increased risk for c
281 tional hazards to investigate if people with microbleeds were at increased risk of stroke in comparis
282 xels) ex vivo magnetic resonance images, 171 microbleeds were detected compared to 66 microbleeds on
284 nsity volume, lacunar infarcts, and cerebral microbleeds were estimated on magnetic resonance imaging
286 rast, the presence of focal brain injury and microbleeds were not associated with an increased risk o
288 16 at baseline, 53 at last follow-up), deep microbleeds were present in 19.6% of patients at baselin
292 The presence and number of microinfarcts or microbleeds were unrelated to cognitive performance.
293 angiopathy (lobar with or without cerebellar microbleeds) were at increased risk of intracerebral hem
294 I has high sensitivity in detecting cerebral microbleeds, which appear as small dot-like hypointense
296 small (<20 mm) infarcts or lacunes, cerebral microbleeds, white matter hyperintensities, enlarged per
297 oke (HR, 3.8; 95% CI, 1.5-10.1) and nonlobar microbleeds with an increased risk for cardiovascular ev
299 hite matter hyperintensities (WMH), lacunes, microbleeds with CSF beta-amyloid 42 (Abeta42), total ta
300 ts appear to develop in the early 30s, while microbleeds, WMH, amyloid, and tau emerge in the mid to