Literature DB >> 26228878

Ultra-High-Field MRI Visualization of Cortical Multiple Sclerosis Lesions with T2 and T2*: A Postmortem MRI and Histopathology Study.

L E Jonkman1, R Klaver2, L Fleysher3, M Inglese4, J J G Geurts2.   

Abstract

BACKGROUND AND
PURPOSE: At 7T MR imaging, T2*-weighted gradient echo has been shown to provide high-resolution anatomic images of gray matter lesions. However, few studies have verified T2*WI lesions histopathologically or compared them with more standard techniques at ultra-high-field strength. This study aimed to determine the sensitivity of T2WI and T2*WI sequences for detecting cortical GM lesions in MS.
MATERIALS AND METHODS: At 7T, 2D multiecho spin-echo T2WI and 3D gradient-echo T2*WI were acquired from 27 formalin-fixed coronal hemispheric brain sections of 15 patients and 4 healthy controls. Proteolipid-stained tissue sections (8 μm) were matched to the corresponding MR images, and lesions were manually scored on both MR imaging sequences (blinded to histopathology) and tissue sections (blinded to MR imaging). The sensitivity of MR imaging sequences for GM lesion types and white matter lesions was calculated. An unblinded retrospective scoring was also performed.
RESULTS: If all cortical GM lesions were taken into account, the T2WI sequence detected slightly more lesions than the T2*WI sequence: 28% and 16%, respectively (P = .054). This difference disappeared when only intracortical lesions were considered. When histopathologic information (type, location) was revealed to the reader, the sensitivity went up to 84% (T2WI) and 85% (T2*WI) (not significant). Furthermore, the false-positive rate was 8.6% for the T2WI and 10.5% for the T2*WI sequence.
CONCLUSIONS: There is no strong advantage of the T2*WI sequence compared with a conventional T2WI sequence in the detection of cortical lesions at 7T. Retrospectively, a high percentage of lesions could be detected with both sequences. However, many lesions are still missed prospectively. This could possibly be minimized with better a priori observer training.
© 2015 by American Journal of Neuroradiology.

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Mesh:

Year:  2015        PMID: 26228878      PMCID: PMC7964883          DOI: 10.3174/ajnr.A4418

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  29 in total

1.  7T vs. 4T: RF power, homogeneity, and signal-to-noise comparison in head images.

Authors:  J T Vaughan; M Garwood; C M Collins; W Liu; L DelaBarre; G Adriany; P Andersen; H Merkle; R Goebel; M B Smith; K Ugurbil
Journal:  Magn Reson Med       Date:  2001-07       Impact factor: 4.668

2.  Cortical lesions in multiple sclerosis.

Authors:  D Kidd; F Barkhof; R McConnell; P R Algra; I V Allen; T Revesz
Journal:  Brain       Date:  1999-01       Impact factor: 13.501

3.  Accumulation of cortical lesions in MS: relation with cognitive impairment.

Authors:  S D Roosendaal; B Moraal; P J W Pouwels; H Vrenken; J A Castelijns; F Barkhof; J J G Geurts
Journal:  Mult Scler       Date:  2009-05-12       Impact factor: 6.312

4.  Imaging cortical lesions in multiple sclerosis with ultra-high-field magnetic resonance imaging.

Authors:  David Pitt; Aaron Boster; Wei Pei; Eric Wohleb; Adam Jasne; Cherian R Zachariah; Kottil Rammohan; Michael V Knopp; Petra Schmalbrock
Journal:  Arch Neurol       Date:  2010-07

5.  Imaging the tip of the iceberg: visualization of cortical lesions in multiple sclerosis.

Authors:  Alexandra Seewann; Hugo Vrenken; Evert-Jan Kooi; Paul van der Valk; Dirk L Knol; Chris H Polman; Petra J W Pouwels; Frederik Barkhof; Jeroen J G Geurts
Journal:  Mult Scler       Date:  2011-05-11       Impact factor: 6.312

6.  Transected neurites, apoptotic neurons, and reduced inflammation in cortical multiple sclerosis lesions.

Authors:  J W Peterson; L Bö; S Mörk; A Chang; B D Trapp
Journal:  Ann Neurol       Date:  2001-09       Impact factor: 10.422

7.  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

8.  Grey matter pathology in multiple sclerosis.

Authors:  Marco Vercellino; Federica Plano; Barbara Votta; Roberto Mutani; Maria Teresa Giordana; Paola Cavalla
Journal:  J Neuropathol Exp Neurol       Date:  2005-12       Impact factor: 3.685

9.  Multicontrast MR imaging at 7T in multiple sclerosis: highest lesion detection in cortical gray matter with 3D-FLAIR.

Authors:  I D Kilsdonk; W L de Graaf; A Lopez Soriano; J J Zwanenburg; F Visser; J P A Kuijer; J J G Geurts; P J W Pouwels; C H Polman; J A Castelijns; P R Luijten; F Barkhof; M P Wattjes
Journal:  AJNR Am J Neuroradiol       Date:  2012-10-04       Impact factor: 3.825

Review 10.  Visualizing iron in multiple sclerosis.

Authors:  Francesca Bagnato; Simon Hametner; Edward Brian Welch
Journal:  Magn Reson Imaging       Date:  2013-01-22       Impact factor: 2.546

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  9 in total

1.  Comparison of Multiple Sclerosis Cortical Lesion Types Detected by Multicontrast 3T and 7T MRI.

Authors:  J Maranzano; M Dadar; D A Rudko; D De Nigris; C Elliott; J S Gati; S A Morrow; R S Menon; D L Collins; D L Arnold; S Narayanan
Journal:  AJNR Am J Neuroradiol       Date:  2019-06-20       Impact factor: 3.825

Review 2.  MRI and multiple sclerosis--the evolving role of MRI in the diagnosis and management of MS: the radiologist's perspective.

Authors:  Alexis M Cahalane; Hugh Kearney; Yvonne M Purcell; Christopher McGuigan; Ronan P Killeen
Journal:  Ir J Med Sci       Date:  2017-11-25       Impact factor: 1.568

3.  Improved Visualization of Cortical Lesions in Multiple Sclerosis Using 7T MP2RAGE.

Authors:  E S Beck; P Sati; V Sethi; T Kober; B Dewey; P Bhargava; G Nair; I C Cortese; D S Reich
Journal:  AJNR Am J Neuroradiol       Date:  2018-02-08       Impact factor: 3.825

Review 4.  Post-Mortem MRI and Histopathology in Neurologic Disease: A Translational Approach.

Authors:  Laura E Jonkman; Boyd Kenkhuis; Jeroen J G Geurts; Wilma D J van de Berg
Journal:  Neurosci Bull       Date:  2019-02-21       Impact factor: 5.203

5.  Alterations of Metabolites in the Frontal Cortex and Amygdala Are Associated With Cognitive Impairment in Alcohol Dependent Patients With Aggressive Behavior.

Authors:  Chang Liu; Xuefei Tian; Yang Ling; Jiabin Xu; Xuhui Zhou
Journal:  Front Psychiatry       Date:  2020-09-11       Impact factor: 4.157

6.  Sensitivity of T1/T2-weighted ratio in detection of cortical demyelination is similar to magnetization transfer ratio using post-mortem MRI.

Authors:  Yufan Zheng; Jessica Dudman; Jacqueline T Chen; Kedar R Mahajan; Danielle Herman; Robert J Fox; Daniel Ontaneda; Bruce D Trapp; Kunio Nakamura
Journal:  Mult Scler       Date:  2021-05-20       Impact factor: 6.312

7.  Navigator-Guided Motion and B0 Correction of T2*-Weighted Magnetic Resonance Imaging Improves Multiple Sclerosis Cortical Lesion Detection.

Authors:  Jiaen Liu; Erin S Beck; Stefano Filippini; Peter van Gelderen; Jacco A de Zwart; Gina Norato; Pascal Sati; Omar Al-Louzi; Hadar Kolb; Maxime Donadieu; Mark Morrison; Jeff H Duyn; Daniel S Reich
Journal:  Invest Radiol       Date:  2021-07-01       Impact factor: 10.065

Review 8.  Iron in Multiple Sclerosis and Its Noninvasive Imaging with Quantitative Susceptibility Mapping.

Authors:  Carsten Stüber; David Pitt; Yi Wang
Journal:  Int J Mol Sci       Date:  2016-01-14       Impact factor: 5.923

9.  Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers.

Authors:  Masafumi Kidoh; Kensuke Shinoda; Mika Kitajima; Kenzo Isogawa; Masahito Nambu; Hiroyuki Uetani; Kosuke Morita; Takeshi Nakaura; Machiko Tateishi; Yuichi Yamashita; Yasuyuki Yamashita
Journal:  Magn Reson Med Sci       Date:  2019-09-04       Impact factor: 2.471

  9 in total

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