Literature DB >> 17322562

Spontaneous brain microbleeds: systematic review, subgroup analyses and standards for study design and reporting.

Charlotte Cordonnier1, Rustam Al-Shahi Salman, Joanna Wardlaw.   

Abstract

Brain microbleeds (BMBs) are seen as small, homogeneous, round foci of low signal intensity on magnetic resonance imaging gradient echo (GRE) T2 sequences. BMBs might only be a biomarker for microangiopathy, or alternatively BMBs might provide useful diagnostic and prognostic information, potentially with therapeutic implications for the treatment of stroke. Because of the rapid expansion in recent BMB research, we systematically reviewed and critically appraised the published literature according to QUADAS, STARD and Cochrane principles. Our selection criteria were met by 54 studies of 53 case series involving 9073 participants, 4432 of whom were people with cerebrovascular diseases. There were significant biases in many of the studies: variation in MRI magnet strength, flip angle, slice gap and slice thickness; inconsistent definitions of BMB size (23% did not define size at all, and of those that did 44% chose a diameter of < or =5 mm); only 30% included participants who were representative of the disease under study; and only 53% mentioned that BMB evaluation was blinded to other factors of interest. By pooling data from similar studies, we found that the prevalence of BMBs was 5% [95% confidence interval (CI) 4-6] in healthy adults, 34% (95% CI 31-36) in people with ischaemic stroke, and 60% (95% CI 57-64) in people with non-traumatic intracerebral haemorrhage (ICH). In the studies where a distinction could be made, BMBs were more prevalent among recurrent strokes than first-ever strokes: they affected 23% (95% CI 18-29) with first-ever ischaemic stroke but 44% (95% CI 34-54) with recurrent ischaemic stroke, and 52% (95% CI 47-56) with first-ever ICH but 83% (95% CI 71-90) with recurrent ICH. By pooling data that could be extracted from similar studies, it appears that BMBs are associated with hypertension (OR 3.9, 95% CI 2.4-6.4) and diabetes mellitus (OR 2.2, 95% CI 1.2-4.2) in otherwise healthy adults, and that they are associated with hypertension (OR 2.3, 95% CI 1.7-3.0) in adults with cerebrovascular diseases. The association with hypertension was robust in sensitivity analyses. There is a pressing need for better designed studies to assess the diagnostic utility of BMBs, disentangle the many likely influences on their occurrence, and determine their prognostic utility and whether they should influence treatment. We conclude by proposing criteria for ideal study design and reporting.

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Year:  2007        PMID: 17322562     DOI: 10.1093/brain/awl387

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  189 in total

1.  Cerebral microbleeds: burden assessment by using quantitative susceptibility mapping.

Authors:  Tian Liu; Krishna Surapaneni; Min Lou; Liuquan Cheng; Pascal Spincemaille; Yi Wang
Journal:  Radiology       Date:  2011-11-04       Impact factor: 11.105

2.  Cerebral Microbleeds, CSF p-Tau, and Cognitive Decline: Significance of Anatomic Distribution.

Authors:  G C Chiang; J C Cruz Hernandez; K Kantarci; C R Jack; M W Weiner
Journal:  AJNR Am J Neuroradiol       Date:  2015-07-30       Impact factor: 3.825

3.  High rate of microbleed formation following primary intracerebral hemorrhage.

Authors:  Jason Mackey; Jeffrey J Wing; Gina Norato; Ian Sobotka; Ravi S Menon; Richard E Burgess; M Chris Gibbons; Nawar M Shara; Stephen Fernandez; Annapurni Jayam-Trouth; Laura Russell; Dorothy F Edwards; Chelsea S Kidwell
Journal:  Int J Stroke       Date:  2015-08-26       Impact factor: 5.266

Review 4.  Alzheimer's silent partner: cerebral amyloid angiopathy.

Authors:  Tanya L Cupino; Matthew K Zabel
Journal:  Transl Stroke Res       Date:  2013-11-19       Impact factor: 6.829

5.  Susceptibility-weighted MR imaging of radiation therapy-induced cerebral microbleeds in patients with glioma: a comparison between 3T and 7T.

Authors:  Wei Bian; Christopher P Hess; Susan M Chang; Sarah J Nelson; Janine M Lupo
Journal:  Neuroradiology       Date:  2013-11-27       Impact factor: 2.804

Review 6.  Distribution of cerebral microbleeds in the East and West: Individual participant meta-analysis.

Authors:  Yusuke Yakushiji; Duncan Wilson; Gareth Ambler; Andreas Charidimou; Alexa Beiser; Mark A van Buchem; Charles DeCarli; Ding Ding; Villi Gudnason; Hideo Hara; Toshio Imaizumi; Katsuhiko Kohara; Hyung-Min Kwon; Lenore J Launer; Vincent Mok; Thanh Phan; Sarah R Preis; José Rafael Romero; Sudha Seshadri; Velandai Srikanth; Yuki Takashima; Yoshito Tsushima; Zhaolu Wang; Philip A Wolf; Yunyun Xiong; Shuhei Yamaguchi; David J Werring
Journal:  Neurology       Date:  2019-02-01       Impact factor: 9.910

7.  Repeated Valsalva maneuvers promote symptomatic manifestations of cerebral microhemorrhages: implications for the pathogenesis of vascular cognitive impairment in older adults.

Authors:  Zoltan Ungvari; Andriy Yabluchanskiy; Stefano Tarantini; Peter Toth; Angelia C Kirkpatrick; Anna Csiszar; Calin I Prodan
Journal:  Geroscience       Date:  2018-10-04       Impact factor: 7.713

8.  Unexpectedly low prevalence of intracerebral hemorrhages in sporadic cerebral amyloid angiopathy: an autopsy study.

Authors:  Johannes Attems; Florían Lauda; Kurt A Jellinger
Journal:  J Neurol       Date:  2008-01-18       Impact factor: 4.849

9.  Microbleeds versus macrobleeds: evidence for distinct entities.

Authors:  Steven M Greenberg; R N Kaveer Nandigam; Pilar Delgado; Rebecca A Betensky; Jonathan Rosand; Anand Viswanathan; Matthew P Frosch; Eric E Smith
Journal:  Stroke       Date:  2009-05-14       Impact factor: 7.914

10.  Cerebral microbleeds in a multiethnic elderly community: demographic and clinical correlates.

Authors:  Anne F Wiegman; Irene B Meier; Nicole Schupf; Jennifer J Manly; Vanessa A Guzman; Atul Narkhede; Yaakov Stern; Sergi Martinez-Ramirez; Anand Viswanathan; José A Luchsinger; Steven M Greenberg; Richard Mayeux; Adam M Brickman
Journal:  J Neurol Sci       Date:  2014-07-18       Impact factor: 3.181

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