Literature DB >> 29159467

The use of multiparametric quantitative magnetic resonance imaging for evaluating visually assigned lesion groups in patients with multiple sclerosis.

Christian Thaler1, Tobias D Faizy2, Jan Sedlacik2, Maxim Bester2, Jan-Patrick Stellmann3,4, Christoph Heesen3,4, Jens Fiehler2, Susanne Siemonsen2.   

Abstract

In multiple sclerosis (MS), inflammatory lesions present a broad spectrum of histopathologic processes. For a better discrimination, lesions are visually defined into different lesion groups according to their appearance on conventional magnetic resonance imaging (MRI). The aim of this study was to investigate the properties of different MS lesion groups using multiparametric quantitative MRI. 35 patients diagnosed with relapsing-remitting MS received 3 Tesla MRI including magnetization-prepared 2 rapid acquisition gradient echo, diffusion tensor imaging and magnetization transfer imaging. Lesion segmentation was performed for T2 lesions, black holes and contrast-enhancing lesions. A subtraction mask was created including only T2 lesions that did not correspond to a black hole or contrast-enhancing lesion. T1 relaxation time (T1-RT), magnetization transfer ratio (MTR), mean diffusivity (MD) and fractional anisotropy (FA) were determined for every lesion and in normal-appearing white matter. Only MD differed significantly between all lesion groups and NAWM (p < 0.05), while FA differed between all lesion groups but not NAWM. T1-RT and MTR were not useful imaging biomarkers to distinguish between lesion groups. A lack of sensitivity and specificity and unproportional alterations of quantitative MRI measures, due to heterogenous histopathologic processes within lesions, may be a possible explanation for missing discrimination. Thus, not only interpretation of visually defined MS lesion but also interpretation of quantitative MRI measures remains challenging and should be conducted carefully.

Entities:  

Keywords:  DTI; Inflammation; Magnetization transfer imaging; Multiple sclerosis; T1 relaxometry

Mesh:

Year:  2017        PMID: 29159467     DOI: 10.1007/s00415-017-8683-9

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  31 in total

1.  Quantitative MRI for Analysis of Active Multiple Sclerosis Lesions without Gadolinium-Based Contrast Agent.

Authors:  I Blystad; I Håkansson; A Tisell; J Ernerudh; Ö Smedby; P Lundberg; E-M Larsson
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-15       Impact factor: 3.825

2.  About "axial" and "radial" diffusivities.

Authors:  Claudia A M Wheeler-Kingshott; Mara Cercignani
Journal:  Magn Reson Med       Date:  2009-05       Impact factor: 4.668

3.  Quantification of magnetization transfer rate and native T1 relaxation time of the brain: correlation with magnetization transfer ratio measurements in patients with multiple sclerosis.

Authors:  Spyros Karampekios; Nickolas Papanikolaou; Eufrosini Papadaki; Thomas Maris; Kai Uffman; Martha Spilioti; Andreas Plaitakis; Nicholas Gourtsoyiannis
Journal:  Neuroradiology       Date:  2005-02-17       Impact factor: 2.804

4.  Diffusely abnormal white matter in progressive multiple sclerosis: in vivo quantitative MR imaging characterization and comparison between disease types.

Authors:  H Vrenken; A Seewann; D L Knol; C H Polman; F Barkhof; J J G Geurts
Journal:  AJNR Am J Neuroradiol       Date:  2009-10-22       Impact factor: 3.825

5.  Is the magnetization transfer ratio a marker for myelin in multiple sclerosis?

Authors:  Irene M Vavasour; Cornelia Laule; David K B Li; Anthony L Traboulsee; Alex L MacKay
Journal:  J Magn Reson Imaging       Date:  2011-02-01       Impact factor: 4.813

6.  Evolution of multiple sclerosis lesions on serial contrast-enhanced T1-weighted and magnetization-transfer MR images.

Authors:  A Rovira; J Alonso; G Cucurella; C Nos; M Tintoré; S Pedraza; J Rio; X Montalban
Journal:  AJNR Am J Neuroradiol       Date:  1999 Nov-Dec       Impact factor: 3.825

7.  Post-mortem MRI-guided sampling of multiple sclerosis brain lesions: increased yield of active demyelinating and (p)reactive lesions.

Authors:  C J De Groot; E Bergers; W Kamphorst; R Ravid; C H Polman; F Barkhof; P van der Valk
Journal:  Brain       Date:  2001-08       Impact factor: 13.501

8.  Diffusion tensor magnetic resonance imaging in multiple sclerosis.

Authors:  M Filippi; M Cercignani; M Inglese; M A Horsfield; G Comi
Journal:  Neurology       Date:  2001-02-13       Impact factor: 9.910

9.  Systemic inflammatory response reactivates immune-mediated lesions in rat brain.

Authors:  Sébastien Serres; Daniel C Anthony; Yanyan Jiang; Kerry A Broom; Sandra J Campbell; Damian J Tyler; Sander I van Kasteren; Benjamin G Davis; Nicola R Sibson
Journal:  J Neurosci       Date:  2009-04-15       Impact factor: 6.167

10.  T1- Thresholds in Black Holes Increase Clinical-Radiological Correlation in Multiple Sclerosis Patients.

Authors:  Christian Thaler; Tobias Faizy; Jan Sedlacik; Brigitte Holst; Jan-Patrick Stellmann; Kim Lea Young; Christoph Heesen; Jens Fiehler; Susanne Siemonsen
Journal:  PLoS One       Date:  2015-12-11       Impact factor: 3.240

View more
  5 in total

1.  Spatial distribution of white matter degenerative lesions and cognitive dysfunction in relapsing-remitting multiple sclerosis patients.

Authors:  Natalia Nowaczyk; Alicja Kalinowska-Łyszczarz; Włodzimierz Paprzycki; Sławomir Michalak; Radosław Kaźmierski; Mikołaj A Pawlak
Journal:  Neurol Neurochir Pol       Date:  2019-02-11       Impact factor: 1.621

Review 2.  Quantitative magnetization transfer imaging in relapsing-remitting multiple sclerosis: a systematic review and meta-analysis.

Authors:  Elizabeth N York; Michael J Thrippleton; Rozanna Meijboom; David P J Hunt; Adam D Waldman
Journal:  Brain Commun       Date:  2022-04-04

3.  Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging.

Authors:  Christian Thaler; Anna A Kyselyova; Tobias D Faizy; Marie T Nawka; Sune Jespersen; Brian Hansen; Jan-Patrick Stellmann; Christoph Heesen; Klarissa H Stürner; Maria Stark; Jens Fiehler; Maxim Bester; Susanne Gellißen
Journal:  PLoS One       Date:  2021-02-04       Impact factor: 3.240

4.  Simultaneous lesion and brain segmentation in multiple sclerosis using deep neural networks.

Authors:  Richard McKinley; Rik Wepfer; Fabian Aschwanden; Lorenz Grunder; Raphaela Muri; Christian Rummel; Rajeev Verma; Christian Weisstanner; Mauricio Reyes; Anke Salmen; Andrew Chan; Franca Wagner; Roland Wiest
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

5.  A Comparison of Magnetic Resonance Imaging Methods to Assess Multiple Sclerosis Lesions: Implications for Patient Characterization and Clinical Trial Design.

Authors:  Ewart Mark Haacke; Evanthia Bernitsas; Karthik Subramanian; David Utriainen; Vinay Kumar Palutla; Kiran Yerramsetty; Prashanth Kumar; Sean K Sethi; Yongsheng Chen; Zahid Latif; Pavan Jella; Sara Gharabaghi; Ying Wang; Xiaomeng Zhang; Robert A Comley; John Beaver; Yanping Luo
Journal:  Diagnostics (Basel)       Date:  2021-12-30
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.