Literature DB >> 17531855

Detection of cortical lesions is dependent on choice of slice thickness in patients with multiple sclerosis.

Ondrej Dolezal1, Michael G Dwyer, Dana Horakova, Eva Havrdova, Alireza Minagar, Srivats Balachandran, Niels Bergsland, Zdenek Seidl, Manuela Vaneckova, David Fritz, Jan Krasensky, Robert Zivadinov.   

Abstract

Understanding the importance of cortical lesions in MS pathogenesis has changed. Histopathologic studies using new immunohistochemical methods show that cortical lesions can be detected more frequently than previously reported. Newer MRI sequences also detect cortical lesions more accurately. The aim of this study was to evaluate whether the effect of slice thickness (th) is an important factor for detection of cortical lesions in patients with multiple sclerosis (MS). We aimed also to investigate the relationship of cortical lesions with clinical status or other MRI variables. Forty-one patients with relapsing-remitting (RR) MS (11 males, 30 females with mean EDSS 2.3) underwent scans of Two-dimensional (2D)-fluid-attenuated inversion recovery (FLAIR) and 3D-T1-WI at 1.5-, 3-, and 5-mm slice thicknesses on 1.5-T MRI. Cortical and juxtacortical lesions were volumetrically assessed using a semiautomated method. 2D-FLAIR and 3D-T1-WI were coregistered and the matrix of the neocortical volume (NCV) segmentation mask (SIENAX-generated) was used to classify the location of the cortical-subcortical lesions. Cortical lesions fell into three classes: (1) class 1 were defined as lesions located in the NCV, (2) class 2 were juxtacortical lesions in contact with the NCV mask, and (3) class 3 were cortical-juxtacortical lesions situated in both regions. We measured NCV and normalized gray matter (GM) volume as well. We used partial correlation and multiple regressions to investigate the relationship between cortical lesions and other clinical and MRI variables. Of the total T2-lesion volume (T2-LV) measured on 1.5-mm th scans (mean 16108 mm(3)), cortical lesions represented 2.4% (276 mm(3)), juxtacortical lesions 6.1% (760 mm(3)), and cortical-juxtacortical 3.7% (491 mm(3)). Compared to 1.5-mm th scan, cortical LV was reduced by -28.3%, p < 0.001 on 3-mm th and by -40.78%, p < 0.001 on 5-mm th scans. Results for juxtacortical LV were for 3-mm th scans (-17.9%, p < 0.01) and for 5-mm th scans (-30.3%, p < 0.01). The figures for cortical-juxtacortical LV were also for 3-mm th scans (-16.2%, p < 0.01) and for 5-mm th scans (-26.7%, p < 0.01). We observed a significant correlation between T2-LV and GM atrophy in all slice thickness (r = -0.4 to -0.48, p = 0.001-0.003) and a modest relationship between cortical and cortical-juxtacortical LVs and disability, especially at 1.5-mm slice thickness (r = 0.35, p = 0.025). Use of thinner slices (1.5 mm) on 2D-FLAIR images can significantly increase the sensitivity and precision of detecting cortical and juxtracotical lesions in patients with MS. Cortical and juxtacortical lesions contribute more to disability development than total T2-LV alone.

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Year:  2007        PMID: 17531855     DOI: 10.1016/S0074-7742(07)79021-9

Source DB:  PubMed          Journal:  Int Rev Neurobiol        ISSN: 0074-7742            Impact factor:   3.230


  10 in total

1.  Accuracy of postcontrast 3D turbo spin-echo MR sequence for the detection of enhanced inflammatory lesions in patients with multiple sclerosis.

Authors:  J Hodel; O Outteryck; E Ryo; A-L Bocher; O Lambert; D Chéchin; H Zéphir; A Lacour; J-P Pruvo; P Vermersch; X Leclerc
Journal:  AJNR Am J Neuroradiol       Date:  2013-11-07       Impact factor: 3.825

2.  Focal cortical lesion detection in multiple sclerosis: 3 Tesla DIR versus 7 Tesla FLASH-T2.

Authors:  A Scott Nielsen; R Philip Kinkel; Emanuele Tinelli; Thomas Benner; Julien Cohen-Adad; Caterina Mainero
Journal:  J Magn Reson Imaging       Date:  2011-11-01       Impact factor: 4.813

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

Authors:  G Vural; H D Keklikoğlu; Ş Temel; O Deniz; K Ercan
Journal:  Neuroradiol J       Date:  2013-05-10

4.  Multisequence-imaging protocols to detect cortical lesions of patients with multiple sclerosis: observations from a post-mortem 3 Tesla imaging study.

Authors:  Francesca Bagnato; Bing Yao; Fredric Cantor; Hellmut Merkle; Ellen Condon; Marcela Montequin; Sandra Moore; Martha Quezado; Deborah Tkaczyk; Henry McFarland
Journal:  J Neurol Sci       Date:  2009-04-23       Impact factor: 3.181

5.  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

6.  Taste dysfunction in multiple sclerosis.

Authors:  Richard L Doty; Isabelle A Tourbier; Dzung L Pham; Jennifer L Cuzzocreo; Jayaram K Udupa; Bilge Karacali; Evan Beals; Laura Fabius; Fidias E Leon-Sarmiento; Gul Moonis; Taehoon Kim; Toru Mihama; Rena J Geckle; David M Yousem
Journal:  J Neurol       Date:  2016-01-25       Impact factor: 4.849

Review 7.  Clinical correlates of grey matter pathology in multiple sclerosis.

Authors:  Dana Horakova; Tomas Kalincik; Jana Blahova Dusankova; Ondrej Dolezal
Journal:  BMC Neurol       Date:  2012-03-07       Impact factor: 2.474

8.  A comprehensive approach to the segmentation of multichannel three-dimensional MR brain images in multiple sclerosis.

Authors:  Sushmita Datta; Ponnada A Narayana
Journal:  Neuroimage Clin       Date:  2013-01-11       Impact factor: 4.881

9.  Bimonthly Evolution of Cortical Atrophy in Early Relapsing-Remitting Multiple Sclerosis over 2 Years: A Longitudinal Study.

Authors:  Robert Zivadinov; Carmen Tekwe; Niels Bergsland; Ondrej Dolezal; Eva Havrdova; Jan Krasensky; Michael G Dwyer; Zdeněk Seidl; Deepa P Ramasamy; Manuela Vaneckova; Dana Horakova
Journal:  Mult Scler Int       Date:  2013-01-10

10.  7 Tesla magnetic resonance imaging to detect cortical pathology in multiple sclerosis.

Authors:  Bing Yao; Simon Hametner; Peter van Gelderen; Hellmuth Merkle; Christina Chen; Hans Lassmann; Jeff H Duyn; Francesca Bagnato
Journal:  PLoS One       Date:  2014-10-10       Impact factor: 3.240

  10 in total

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