Literature DB >> 20809763

Susceptibility weighted magnetic resonance imaging of cerebral cavernous malformations: prospects, drawbacks, and first experience at ultra-high field strength (7-Tesla) magnetic resonance imaging.

Philipp Dammann1, Markus Barth, Yuan Zhu, Stefan Maderwald, Marc Schlamann, Mark E Ladd, Ulrich Sure.   

Abstract

High-resolution susceptibility weighted MR imaging at high field strength provides excellent depiction of venous structures, blood products, and iron deposits, making it a promising complementary imaging modality for cerebral cavernous malformations (CCMs). Although already introduced in 1997 and being constantly improved, susceptibility weighted imaging is not yet routine in clinical neuroimaging protocols for CCMs. In this article, the authors review the recent literature dealing with clinical and scientific susceptibility weighted imaging of CCMs to summarize its prospects and drawbacks and provide their first experience with its use in ultra-high field (7-T) MR imaging.

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Year:  2010        PMID: 20809763     DOI: 10.3171/2010.6.FOCUS10130

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  11 in total

1.  Magnetic resonance imaging findings of developmental venous anomalies.

Authors:  E Gökçe; B Acu; M Beyhan; F Celikyay; R Celikyay
Journal:  Clin Neuroradiol       Date:  2013-11-17       Impact factor: 3.649

Review 2.  Perspectives of Ultra-High-Field MRI in Neuroradiology.

Authors:  E R Gizewski; C Mönninghoff; M Forsting
Journal:  Clin Neuroradiol       Date:  2015-07-17       Impact factor: 3.649

3.  Ultra-high-field MR imaging in polymicrogyria and epilepsy.

Authors:  A De Ciantis; A J Barkovich; M Cosottini; C Barba; D Montanaro; M Costagli; M Tosetti; L Biagi; W B Dobyns; R Guerrini
Journal:  AJNR Am J Neuroradiol       Date:  2014-09-25       Impact factor: 3.825

4.  Susceptibility-weighted MR imaging: a better technique in the detection of capillary telangiectasia compared with T2* gradient-echo.

Authors:  U S Chaudhry; D E De Bruin; B A Policeni
Journal:  AJNR Am J Neuroradiol       Date:  2014-08-21       Impact factor: 3.825

5.  Cranial fixation plates in cerebral magnetic resonance imaging: a 3 and 7 Tesla in vivo image quality study.

Authors:  Bixia Chen; Tobias Schoemberg; Oliver Kraff; Philipp Dammann; Andreas K Bitz; Marc Schlamann; Harald H Quick; Mark E Ladd; Ulrich Sure; Karsten H Wrede
Journal:  MAGMA       Date:  2016-03-30       Impact factor: 2.310

Review 6.  Neuroimaging of Cavernous Malformations.

Authors:  Maxim Mokin; Siviero Agazzi; Lowell Dawson; Christopher T Primiani
Journal:  Curr Pain Headache Rep       Date:  2017-10-13

7.  A retrospective and consecutive analysis of the epidemiology and management of spinal cavernomas over the last 20 years in a single center.

Authors:  Ardeshir Ardeshiri; Neriman Özkan; Bixia Chen; Klaus-Peter Stein; Dorothea Miller; Bernd-Otto Hütter; Ibrahim Erol Sandalcioglu; Ulrich Sure
Journal:  Neurosurg Rev       Date:  2015-12-02       Impact factor: 3.042

8.  Ultrahigh-field MRI in human ischemic stroke--a 7 tesla study.

Authors:  Vince I Madai; Federico C von Samson-Himmelstjerna; Miriam Bauer; Katharina L Stengl; Matthias A Mutke; Elena Tovar-Martinez; Jens Wuerfel; Matthias Endres; Thoralf Niendorf; Jan Sobesky
Journal:  PLoS One       Date:  2012-05-31       Impact factor: 3.240

Review 9.  Management of cerebral cavernous malformations: from diagnosis to treatment.

Authors:  Nikolaos Mouchtouris; Nohra Chalouhi; Ameet Chitale; Robert M Starke; Stavropoula I Tjoumakaris; Robert H Rosenwasser; Pascal M Jabbour
Journal:  ScientificWorldJournal       Date:  2015-01-05

10.  Susceptibility-weighted imaging at 7 T: Improved diagnosis of cerebral cavernous malformations and associated developmental venous anomalies.

Authors:  Josa M Frischer; Sabine Göd; Andreas Gruber; Walter Saringer; Günther Grabner; Brigitte Gatterbauer; Klaus Kitz; Sabrina Holzer; Claudia Kronnerwetter; Johannes A Hainfellner; Engelbert Knosp; Siegfried Trattnig
Journal:  Neuroimage Clin       Date:  2012-09-14       Impact factor: 4.881

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