Literature DB >> 15313716

A new method for analyzing histograms of brain magnetization transfer ratios: comparison with existing techniques.

Liang Qiang Zhou1, Yue Min Zhu, Jérôme Grimaud, Marc Hermier, Marco Rovaris, Massimo Filippi.   

Abstract

BACKGROUND AND
PURPOSE: Previously reported quantitative parameters for the magnetization transfer ratio (MTR) do not give identical results, which can limit their ability to differentiate normal from diseased tissue and render them vulnerable to variations among MR systems. Our purpose was to systematically study different MTR metrics; propose a new MTR histogram parameter, AMTR(2/3); and compare AMTR(2/3) with existing parameters in a study of multiple sclerosis (MS).
METHODS: Seven conventional MTR parameters were proposed: global and mean MTR; peak height and position of the histogram; and percentiles MTR25, MTR50, and MTR75. Additionally, we investigated a parameter, AMTR(2/3), to indicate the normalized pixel count (area under the histogram curve) inside the band size of two-thirds MTR histogram peak height. All parameters were measured in 10 patients with relapsing-remitting MS (group A), 10 healthy control subjects from the same imaging center as that of patients (group B), and four healthy control subjects from an outside institution (group C). Comparison of findings was performed between groups A and B to assess the discriminating ability of MTR parameters and groups B and C to evaluate intersystem variations.
RESULTS: All MTR parameters differed between groups A and B, but the difference was significant for only global MTR, mean MTR, MTR25, and AMTR(2/3). With the exception of AMTR(2/3), all parameters differed significantly between the two control groups.
CONCLUSION: AMTR(2/3) is less sensitive to MR imaging system variations than are other MTR parameters and was most effective in differentiating patients with MS from healthy control subjects. This finding supports the use of AMTR(2/3) in multicenter MT MR imaging studies of MS.

Entities:  

Mesh:

Year:  2004        PMID: 15313716      PMCID: PMC7976536     

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


  26 in total

1.  Reproducibility of magnetization transfer ratio histogram-derived measures of the brain in healthy volunteers.

Authors:  M P Sormani; G Iannucci; M A Rocca; G Mastronardo; M Cercignani; L Minicucci; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2000-01       Impact factor: 3.825

2.  Characterization of experimental spinal cord injury with magnetization transfer ratio histograms.

Authors:  J C McGowan; J I Berman; J C Ford; E Lavi; D B Hackney
Journal:  J Magn Reson Imaging       Date:  2000-08       Impact factor: 4.813

3.  Magnetic resonance imaging in monitoring the treatment of multiple sclerosis: concerted action guidelines.

Authors:  D H Miller; F Barkhof; I Berry; L Kappos; G Scotti; A J Thompson
Journal:  J Neurol Neurosurg Psychiatry       Date:  1991-08       Impact factor: 10.154

Review 4.  Magnetization transfer imaging to monitor clinical trials in multiple sclerosis.

Authors:  N D Richert; J A Frank
Journal:  Neurology       Date:  1999       Impact factor: 9.910

5.  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.

Authors:  F D Lublin; S C Reingold
Journal:  Neurology       Date:  1996-04       Impact factor: 9.910

6.  Magnetization transfer imaging to monitor the evolution of MS: a 1-year follow-up study.

Authors:  M Filippi; M Inglese; M Rovaris; M P Sormani; P Horsfield; P G Iannucci; B Colombo; G Comi
Journal:  Neurology       Date:  2000-10-10       Impact factor: 9.910

7.  Magnetization transfer contrast (MTC) and tissue water proton relaxation in vivo.

Authors:  S D Wolff; R S Balaban
Journal:  Magn Reson Med       Date:  1989-04       Impact factor: 4.668

8.  MR outcome parameters in multiple sclerosis: comparison of surface-based thresholding segmentation and magnetization transfer ratio histographic analysis in relation to disability (a preliminary note).

Authors:  J H van Waesberghe; M A van Buchem; M Filippi; J A Castelijns; M A Rocca; R van der Boom; C H Polman; F Barkhof
Journal:  AJNR Am J Neuroradiol       Date:  1998 Nov-Dec       Impact factor: 3.825

9.  Experimental allergic encephalomyelitis and multiple sclerosis: lesion characterization with magnetization transfer imaging.

Authors:  V Dousset; R I Grossman; K N Ramer; M D Schnall; L H Young; F Gonzalez-Scarano; E Lavi; J A Cohen
Journal:  Radiology       Date:  1992-02       Impact factor: 11.105

Review 10.  Standardization of magnetization transfer imaging for multicenter studies.

Authors:  N C Silver; G J Barker; D H Miller
Journal:  Neurology       Date:  1999       Impact factor: 9.910

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  6 in total

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Review 3.  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
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4.  Histogram analysis versus region of interest analysis of dynamic susceptibility contrast perfusion MR imaging data in the grading of cerebral gliomas.

Authors:  M Law; R Young; J Babb; E Pollack; G Johnson
Journal:  AJNR Am J Neuroradiol       Date:  2007-04       Impact factor: 3.825

5.  Quantitative Analysis of Myelin and Axonal Remodeling in the Uninjured Motor Network After Stroke.

Authors:  Ying-Chia Lin; Alessandro Daducci; Djalel Eddine Meskaldji; Jean-Philippe Thiran; Patrik Michel; Reto Meuli; Gunnar Krueger; Gloria Menegaz; Cristina Granziera
Journal:  Brain Connect       Date:  2014-12-23

6.  MR g-ratio-weighted connectome analysis in patients with multiple sclerosis.

Authors:  Koji Kamagata; Andrew Zalesky; Kazumasa Yokoyama; Christina Andica; Akifumi Hagiwara; Keigo Shimoji; Kanako K Kumamaru; Mariko Y Takemura; Yasunobu Hoshino; Kouhei Kamiya; Masaaki Hori; Christos Pantelis; Nobutaka Hattori; Shigeki Aoki
Journal:  Sci Rep       Date:  2019-09-18       Impact factor: 4.379

  6 in total

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