Literature DB >> 31396662

MRI detection of cerebral microbleeds: size matters.

Sven Haller1,2, Max Scheffler3, Rares Salomir3, François R Herrmann4, Gabriel Gold4, Marie-Louise Montandon4,5, Enikö Kövari5.   

Abstract

PURPOSE: Cerebral microbleeds (CMB) play an important role as an imaging biomarker notably in vascular and neurodegenerative diseases. Current clinical brain MRI underestimates the number of CMB with respect to histopathology. It is expected that small CMBs are more likely to be false-negatives, yet this has not been demonstrated and the average size of false-negative and true-positive CMBs have not been established.
METHODS: The radiologic-histopathologic correlation study was approved by the local review board and included 42 consecutive cases (mean age at death, 80.7 ± 10.0 years; 23 females and 19 men) between 12 January 2012 and 10 December 2012 having undergone brain autopsy. Postmortem SWI (susceptibility-weighted imaging) images were acquired on a clinical 3T system using parameters similar to clinical routine. The detection of CMB on postmortem MRI was compared with corresponding histopathological slices.
RESULTS: Postmortem MRI detected 23 true-positive CMB. Histopathology additionally detected 68 CMBs (false-negative MRI CMBs). The average size true-positive MRI CMBs had on histopathology was 3.6 ± 7.1 mm3. The average size false-negative MRI CMBs was significantly smaller (p < 0.05), measuring 0.3 ± 1.2 mm3 on histopathology.
CONCLUSION: Size matters. As expected, the average size of true-positive MRI CMB was around 10 times larger as compared with false-negative MRI CMB. Evidently, in addition to size, other factors will influence the detectability of CMB, including iron content, ratio of Fe2+/Fe3+, spatial configuration, and location, yet this remains to be elucidated in future studies.

Entities:  

Keywords:  Dementia; MRI; Microbleeds; Pathology

Mesh:

Substances:

Year:  2019        PMID: 31396662     DOI: 10.1007/s00234-019-02267-0

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  11 in total

1.  Cerebral microbleeds in the elderly: a pathological analysis.

Authors:  Mark Fisher; Samuel French; Ping Ji; Ronald C Kim
Journal:  Stroke       Date:  2010-10-28       Impact factor: 7.914

2.  Clinical relevance of improved microbleed detection by susceptibility-weighted magnetic resonance imaging.

Authors:  Jeroen D C Goos; Wiesje M van der Flier; Dirk L Knol; Petra J W Pouwels; Philip Scheltens; Frederik Barkhof; Mike P Wattjes
Journal:  Stroke       Date:  2011-05-12       Impact factor: 7.914

3.  Air bubble artifact reduction in post-mortem whole-brain MRI: the influence of receiver bandwidth.

Authors:  Max Scheffler; Enrique Maturana; Rares Salomir; Sven Haller; Enikö Kövari
Journal:  Neuroradiology       Date:  2018-08-08       Impact factor: 2.804

Review 4.  Cerebral Microbleeds: Imaging and Clinical Significance.

Authors:  Sven Haller; Meike W Vernooij; Joost P A Kuijer; Elna-Marie Larsson; Hans Rolf Jäger; Frederik Barkhof
Journal:  Radiology       Date:  2018-04       Impact factor: 11.105

5.  Direct comparison of histology of microbleeds with postmortem MR images: a case report.

Authors:  Shinsui Tatsumi; Miho Shinohara; Toru Yamamoto
Journal:  Cerebrovasc Dis       Date:  2008-06-17       Impact factor: 2.762

6.  Correlation of hypointensities in susceptibility-weighted images to tissue histology in dementia patients with cerebral amyloid angiopathy: a postmortem MRI study.

Authors:  Matthew Schrag; Grant McAuley; Justine Pomakian; Arshad Jiffry; Spencer Tung; Claudius Mueller; Harry V Vinters; E Mark Haacke; Barbara Holshouser; Daniel Kido; Wolff M Kirsch
Journal:  Acta Neuropathol       Date:  2010-03       Impact factor: 17.088

7.  Cerebral microbleeds in the population based AGES-Reykjavik study: prevalence and location.

Authors:  S Sveinbjornsdottir; S Sigurdsson; T Aspelund; O Kjartansson; G Eiriksdottir; B Valtysdottir; O L Lopez; M A van Buchem; P V Jonsson; V Gudnason; L J Launer
Journal:  J Neurol Neurosurg Psychiatry       Date:  2008-02-12       Impact factor: 10.154

8.  Histopathologic analysis of foci of signal loss on gradient-echo T2*-weighted MR images in patients with spontaneous intracerebral hemorrhage: evidence of microangiopathy-related microbleeds.

Authors:  F Fazekas; R Kleinert; G Roob; G Kleinert; P Kapeller; R Schmidt; H P Hartung
Journal:  AJNR Am J Neuroradiol       Date:  1999-04       Impact factor: 3.825

9.  Clinicoradiologic Correlations of Cerebral Microbleeds in Advanced Age.

Authors:  I Barnaure; M-L Montandon; C Rodriguez; F Herrmann; K O Lövblad; P Giannakopoulos; S Haller
Journal:  AJNR Am J Neuroradiol       Date:  2016-09-29       Impact factor: 3.825

10.  Radiologic-Histopathologic Correlation of Cerebral Microbleeds Using Pre-Mortem and Post-Mortem MRI.

Authors:  Sven Haller; Marie-Louise Montandon; François Lazeyras; Max Scheffler; Stephan Meckel; Francois R Herrmann; Panteleimon Giannakopoulos; Enikö Kövari
Journal:  PLoS One       Date:  2016-12-09       Impact factor: 3.240

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  4 in total

Review 1.  Magnetic Resonance Imaging Studies of Neurodegenerative Disease: From Methods to Translational Research.

Authors:  Peiyu Huang; Minming Zhang
Journal:  Neurosci Bull       Date:  2022-06-30       Impact factor: 5.203

Review 2.  Neuropathology of Vascular Brain Health: Insights From Ex Vivo Magnetic Resonance Imaging-Histopathology Studies in Cerebral Small Vessel Disease.

Authors:  Susanne J van Veluw; Konstantinos Arfanakis; Julie A Schneider
Journal:  Stroke       Date:  2022-01-10       Impact factor: 7.914

3.  Age, sex, and cerebral microbleeds in EFAD Alzheimer disease mice.

Authors:  Mafalda Cacciottolo; Todd E Morgan; Caleb E Finch
Journal:  Neurobiol Aging       Date:  2021-02-28       Impact factor: 5.133

4.  Altered Brain Morphometry in Cerebral Small Vessel Disease With Cerebral Microbleeds: An Investigation Combining Univariate and Multivariate Pattern Analyses.

Authors:  Jing Li; Hongwei Wen; Shengpei Wang; Yena Che; Nan Zhang; Lingfei Guo
Journal:  Front Neurol       Date:  2022-02-23       Impact factor: 4.003

  4 in total

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