Literature DB >> 23859234

Comparison of double inversion recovery and conventional magnetic resonance brain imaging in patients with multiple sclerosis and relations with disease disability.

G Vural1, H D Keklikoğlu, Ş Temel, O Deniz, K Ercan.   

Abstract

Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system, predominantly affecting the white matter, but also the grey matter. Aim of this study was to detect MS lesions with double inversion recovery (DIR), fluid-attenuated inversion recovery (FLAIR) and T2-weighted magnetic resonance (MR) techniques and determine the sensitivity of these techniques, and the correlation between the number of lesions and expanded disability state scale (EDSS) scores. Thirty-four patients with MS (20 females and 14 males) were included in this study. DIR and conventional MR (T2-A, FLAIR) sequences were obtained. Lesions were counted and classified as belonging to one of seven anatomical regions: cortical, juxtacortical, deep grey matter, deep white matter, mixed white matter-grey matter, periventricular white matter and infratentorial. The correlation between lesion number and EDSS scores was investigated. DIR images showed more intracortical and mixed white matter-grey matter lesions in comparison with both FLAIR and T2 sequences (p=0, p=0 respectively). There was a significant difference between mean lesion numbers at the juxtacortical region, obtained with DIR and T2-weighted images (p = 0.002). The total number of lesions obtained with all methods was similar. DIR brain imaging had the highest sensitivity in the detection of cortical and mixed white matter - grey matter lesions, compared with FLAIR and T2 sequences. In addition, the lesions obtained with DIR images were more easily visualized.

Entities:  

Mesh:

Year:  2013        PMID: 23859234      PMCID: PMC5228720          DOI: 10.1177/197140091302600201

Source DB:  PubMed          Journal:  Neuroradiol J        ISSN: 1971-4009


  23 in total

1.  Cortical lesions in multiple sclerosis: combined postmortem MR imaging and histopathology.

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Journal:  AJNR Am J Neuroradiol       Date:  2005-03       Impact factor: 3.825

2.  Double inversion recovery imaging of the brain: initial experience and comparison with fluid attenuated inversion recovery imaging.

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Journal:  Magn Reson Imaging       Date:  1998       Impact factor: 2.546

3.  A 3-year magnetic resonance imaging study of cortical lesions in relapse-onset multiple sclerosis.

Authors:  Massimiliano Calabrese; Maria A Rocca; Matteo Atzori; Irene Mattisi; Alice Favaretto; Paola Perini; Paolo Gallo; Massimo Filippi
Journal:  Ann Neurol       Date:  2010-03       Impact factor: 10.422

4.  Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis.

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Journal:  Neurology       Date:  1996-04       Impact factor: 9.910

5.  Detection of cortical inflammatory lesions by double inversion recovery magnetic resonance imaging in patients with multiple sclerosis.

Authors:  Massimiliano Calabrese; Nicola De Stefano; Matteo Atzori; Valentina Bernardi; Irene Mattisi; Luigi Barachino; Aldo Morra; Luciano Rinaldi; Chiara Romualdi; Paola Perini; Leontino Battistin; Paolo Gallo
Journal:  Arch Neurol       Date:  2007-10

6.  Multi-contrast, isotropic, single-slab 3D MR imaging in multiple sclerosis.

Authors:  Bastiaan Moraal; Stefan D Roosendaal; Petra J W Pouwels; Hugo Vrenken; Ronald A van Schijndel; Dominik S Meier; Charles R G Guttmann; Jeroen J G Geurts; Frederik Barkhof
Journal:  Eur Radiol       Date:  2008-05-29       Impact factor: 5.315

7.  Deep gray matter involvement on brain MRI scans is associated with clinical progression in multiple sclerosis.

Authors:  Mohit Neema; Ashish Arora; Brian C Healy; Zachary D Guss; Steven D Brass; Yang Duan; Guy J Buckle; Bonnie I Glanz; Lynn Stazzone; Samia J Khoury; Howard L Weiner; Charles R G Guttmann; Rohit Bakshi
Journal:  J Neuroimaging       Date:  2009-01       Impact factor: 2.486

8.  The sensitivity of thin-slice fast spin echo, fast FLAIR and gadolinium-enhanced T1-weighted MRI sequences in detecting new lesion activity in multiple sclerosis.

Authors:  N Tubridy; P D Molyneux; I F Moseley; D H Miller
Journal:  J Neurol       Date:  1999-12       Impact factor: 4.849

9.  Disability and lesion load in MS: a reassessment with MS functional composite score and 3D fast FLAIR.

Authors:  Olga Ciccarelli; Peter A Brex; Alan J Thompson; David H Miller
Journal:  J Neurol       Date:  2002-01       Impact factor: 4.849

10.  Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis.

Authors:  W I McDonald; A Compston; G Edan; D Goodkin; H P Hartung; F D Lublin; H F McFarland; D W Paty; C H Polman; S C Reingold; M Sandberg-Wollheim; W Sibley; A Thompson; S van den Noort; B Y Weinshenker; J S Wolinsky
Journal:  Ann Neurol       Date:  2001-07       Impact factor: 10.422

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  10 in total

Review 1.  Utility of double inversion recovery MRI in paediatric epilepsy.

Authors:  Bruno P Soares; Samuel G Porter; Amit M Saindane; Seena Dehkharghani; Nilesh K Desai
Journal:  Br J Radiol       Date:  2015-11-03       Impact factor: 3.039

2.  Magnetization transfer ratio in lesions rather than normal-appearing brain relates to disability in patients with multiple sclerosis.

Authors:  Michael Amann; Athina Papadopoulou; Michaela Andelova; Stefano Magon; Nicole Mueller-Lenke; Yvonne Naegelin; Christoph Stippich; Ernst Wilhelm Radue; Oliver Bieri; Ludwig Kappos; Till Sprenger
Journal:  J Neurol       Date:  2015-06-05       Impact factor: 4.849

3.  Improving Detection of Multiple Sclerosis Lesions in the Posterior Fossa Using an Optimized 3D-FLAIR Sequence at 3T.

Authors:  A Lecler; I El Sanharawi; J El Methni; O Gout; P Koskas; J Savatovsky
Journal:  AJNR Am J Neuroradiol       Date:  2019-06-27       Impact factor: 3.825

4.  A novel imaging technique for better detecting new lesions in multiple sclerosis.

Authors:  Paul Eichinger; Hanni Wiestler; Haike Zhang; Viola Biberacher; Jan S Kirschke; Claus Zimmer; Mark Mühlau; Benedikt Wiestler
Journal:  J Neurol       Date:  2017-07-29       Impact factor: 4.849

5.  Double inversion recovery imaging of the brain: deriving the most relevant sequence through real images.

Authors:  Shunichi Motegi; Takehiro Shimada; Norio Hayashi; Hiroyuki Nagase; Ayako Taketomi-Takahashi; Yoshito Tsushima
Journal:  Radiol Phys Technol       Date:  2017-04-09

6.  Identification of cortical lesions using DIR and FLAIR in early stages of multiple sclerosis.

Authors:  Pierre Kolber; Swantje Montag; Vinzenz Fleischer; Felix Luessi; Janine Wilting; Joachim Gawehn; Adriane Gröger; Frauke Zipp
Journal:  J Neurol       Date:  2015-04-11       Impact factor: 4.849

Review 7.  Magnetic Resonance Imaging in Multiple Sclerosis.

Authors:  Christopher C Hemond; Rohit Bakshi
Journal:  Cold Spring Harb Perspect Med       Date:  2018-05-01       Impact factor: 6.915

8.  Optimizing 3D FLAIR to detect MS lesions: pushing past factory settings for precise results.

Authors:  Augustin Lecler; C Bouzad; R Deschamps; F Maizeroi; J C Sadik; A Gueguen; O Gout; H Picard; J Savatovsky
Journal:  J Neurol       Date:  2019-08-01       Impact factor: 4.849

9.  3D-DIR for early differential diagnostic and prognostic evaluation of NMO.

Authors:  Yanbing Wang; Hong Yan; Qixing Ding; Cunhua Mao; Yelong Shen; Guangbin Wang
Journal:  Exp Ther Med       Date:  2016-06-23       Impact factor: 2.447

10.  Assessment of the diagnostic accuracy of double inversion recovery sequence compared with FLAIR and T2W_TSE in detection of cerebral multiple sclerosis lesions.

Authors:  Zahra Abidi; Fariborz Faeghi; Zahra Mardanshahi; Hasan Mortazavi
Journal:  Electron Physician       Date:  2017-04-25
  10 in total

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