Literature DB >> 18490493

Cerebral microbleeds: accelerated 3D T2*-weighted GRE MR imaging versus conventional 2D T2*-weighted GRE MR imaging for detection.

Meike W Vernooij1, M Arfan Ikram, Piotr A Wielopolski, Gabriel P Krestin, Monique M B Breteler, Aad van der Lugt.   

Abstract

The purpose of this study was to prospectively compare high-spatial-resolution accelerated three-dimensional (3D) T2*-weighted gradient-recalled-echo (GRE) magnetic resonance (MR) images with conventional two-dimensional (2D) T2*-weighted GRE MR images for the depiction of cerebral microbleeds. After obtaining institutional review board approval and informed consent, 200 elderly participants (age range, 69.7-96.7 years; 108 [54%] women) were imaged at 1.5 T by using both sequences. Presence, number, and location of microbleeds were recorded for both sequences, and differences were tested by using McNemar and signed rank tests. Cerebral microbleeds were detected in significantly more participants on 3D T2*-weighted GRE images (35.5%) than on 2D T2*-weighted GRE images (21.0%; P < .001). Furthermore, in persons with microbleeds visualized on both image sets, significantly more microbleeds (P < .001) were seen on 3D images than on 2D images. For both sequences, the proportion of participants with a microbleed in a lobar (cortical gray and subcortical white matter), deep, or infratentorial location was similar. In conclusion, accelerated 3D T2*-weighted GRE images depict more microbleeds than do conventional 2D T2*-weighted GRE images. (c) RSNA, 2008.

Entities:  

Mesh:

Year:  2008        PMID: 18490493     DOI: 10.1148/radiol.2481071158

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  48 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.  The Rotterdam Study: 2016 objectives and design update.

Authors:  Albert Hofman; Guy G O Brusselle; Sarwa Darwish Murad; Cornelia M van Duijn; Oscar H Franco; André Goedegebure; M Arfan Ikram; Caroline C W Klaver; Tamar E C Nijsten; Robin P Peeters; Bruno H Ch Stricker; Henning W Tiemeier; André G Uitterlinden; Meike W Vernooij
Journal:  Eur J Epidemiol       Date:  2015-09-19       Impact factor: 8.082

Review 3.  Imaging of Cerebral Microbleeds.

Authors:  J Linn
Journal:  Clin Neuroradiol       Date:  2015-09-04       Impact factor: 3.649

4.  The Rotterdam Study: 2014 objectives and design update.

Authors:  Albert Hofman; Sarwa Darwish Murad; Cornelia M van Duijn; Oscar H Franco; André Goedegebure; M Arfan Ikram; Caroline C W Klaver; Tamar E C Nijsten; Robin P Peeters; Bruno H Ch Stricker; Henning W Tiemeier; André G Uitterlinden; Meike W Vernooij
Journal:  Eur J Epidemiol       Date:  2013-11-21       Impact factor: 8.082

5.  Imaging cerebral microbleeds using susceptibility weighted imaging: one step toward detecting vascular dementia.

Authors:  Muhammad Ayaz; Alexander S Boikov; E Mark Haacke; Daniel K Kido; Wolff M Kirsch
Journal:  J Magn Reson Imaging       Date:  2010-01       Impact factor: 4.813

6.  [Craniocerebral trauma: magnetic resonance imaging of diffuse axonal injury].

Authors:  A Mallouhi
Journal:  Radiologe       Date:  2014-09       Impact factor: 0.635

7.  Association between carotid artery plaque type and cerebral microbleeds.

Authors:  L Saba; R Montisci; E Raz; R Sanfilippo; J S Suri; M Piga
Journal:  AJNR Am J Neuroradiol       Date:  2012-05-24       Impact factor: 3.825

8.  Cortical superficial siderosis progression in cerebral amyloid angiopathy: Prospective MRI study.

Authors:  Thanakit Pongpitakmetha; Panagiotis Fotiadis; Marco Pasi; Gregoire Boulouis; Li Xiong; Andrew D Warren; Kristin M Schwab; Jonathan Rosand; M Edip Gurol; Steven M Greenberg; Anand Viswanathan; Andreas Charidimou
Journal:  Neurology       Date:  2020-04-13       Impact factor: 9.910

9.  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

10.  The Rotterdam Study: 2010 objectives and design update.

Authors:  Albert Hofman; Monique M B Breteler; Cornelia M van Duijn; Harry L A Janssen; Gabriel P Krestin; Ernst J Kuipers; Bruno H Ch Stricker; Henning Tiemeier; André G Uitterlinden; Johannes R Vingerling; Jacqueline C M Witteman
Journal:  Eur J Epidemiol       Date:  2009       Impact factor: 8.082

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.