Literature DB >> 35655839

Rapid quantification of global brain volumetry and relaxometry in patients with multiple sclerosis using synthetic magnetic resonance imaging.

Jibin Cao1, Xiaohan Xu1, Jingyi Zhu1, Puyeh Wu2, Huize Pang1, Guoguang Fan1, Lingling Cui1.   

Abstract

Background: Early pathologic studies have reported that focal areas of gray lesions in the cortex and other gray matter (GM) regions are important in multiple sclerosis (MS) patients. Quantitative magnetic resonance imaging (qMRI) can provide more specific insight into the disease process, progression, and therapeutic response of MS. The purpose of this study was to quantitatively assess the changes of global GM volumetry and relaxometry information simultaneously in MS patients using synthetic MRI.
Methods: All MS patients and healthy controls (HCs) were recruited. The Expanded Disability Status Scale (EDSS) scores were obtained from all patients to evaluate the disability progression. Volumetry and relaxometry of the global brain and regional GM were obtained. The quantitative parameters between MS patients and HCs were compared using an analysis of covariance (ANCOVA). The Pearson correlation assessed the correlations between the quantitative parameters and EDSS, illness duration, education in MS patients.
Results: Thirty-five MS patients and fifty-two age-matched HCs were enrolled in this prospective case-control study. The global volumetry including white matter volume (WMV), myelin volume (MYV), and brain parenchymal volume (BPV) were all significantly lower in MS patients (WMV: 613.120±65.388 vs. 579.903±68.432 mL; MYV: 151.883±22.766 vs. 192.457±27.381 mL; BPV: 1,136.771±106.126 vs. 1,276.712±107.368 mL), as well as a higher cerebral spinal fluid volume (CSFV) (241.294±81.805 vs. 177.017±39.729 mL) in MS patients than those in HCs. Similarly, brain parenchymal fraction (BPF) and myelin fraction (MYF) were significantly lower in MS patients (BPF: 82.623±5.368 vs. 87.85±2.392 mL; MYF: 11.034±1.529 vs. 13.231±1.465 mL). For regional GM volumetry, multiple regions of MS patients were significantly smaller than those of HCs (P<0.01, corrected). For regional GM relaxometry, the T1, T2, and PD values of multiple regions showed significant differences. Conclusions: These findings suggest that MS patients had global and regional brain volumetry and relaxometry alterations, and the synthetic MRI-derived parameters may be potentially used as specific quantitative markers for the clinic to improve the understanding of MS. 2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Synthetic magnetic resonance imaging (synthetic MRI); global brain volumetry; gray matter (GM); multiple sclerosis (MS); relaxometry

Year:  2022        PMID: 35655839      PMCID: PMC9131317          DOI: 10.21037/qims-21-970

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  45 in total

Review 1.  Association between pathological and MRI findings in multiple sclerosis.

Authors:  Massimo Filippi; Maria A Rocca; Frederik Barkhof; Wolfgang Brück; Jacqueline T Chen; Giancarlo Comi; Gabriele DeLuca; Nicola De Stefano; Bradley J Erickson; Nikos Evangelou; Franz Fazekas; Jeroen J G Geurts; Claudia Lucchinetti; David H Miller; Daniel Pelletier; Bogdan F Gh Popescu; Hans Lassmann
Journal:  Lancet Neurol       Date:  2012-03-19       Impact factor: 44.182

Review 2.  Inferring brain tissue composition and microstructure via MR relaxometry.

Authors:  Mark D Does
Journal:  Neuroimage       Date:  2018-01-02       Impact factor: 6.556

3.  Automated determination of brain parenchymal fraction in multiple sclerosis.

Authors:  M Vågberg; T Lindqvist; K Ambarki; J B M Warntjes; P Sundström; R Birgander; A Svenningsson
Journal:  AJNR Am J Neuroradiol       Date:  2012-09-13       Impact factor: 3.825

4.  Magnetic field and tissue dependencies of human brain longitudinal 1H2O relaxation in vivo.

Authors:  William D Rooney; Glyn Johnson; Xin Li; Eric R Cohen; Seong-Gi Kim; Kamil Ugurbil; Charles S Springer
Journal:  Magn Reson Med       Date:  2007-02       Impact factor: 4.668

5.  Cortical atrophy patterns in multiple sclerosis are non-random and clinically relevant.

Authors:  Martijn D Steenwijk; Jeroen J G Geurts; Marita Daams; Betty M Tijms; Alle Meije Wink; Lisanne J Balk; Prejaas K Tewarie; Bernard M J Uitdehaag; Frederik Barkhof; Hugo Vrenken; Petra J W Pouwels
Journal:  Brain       Date:  2015-12-04       Impact factor: 13.501

Review 6.  Neuropsychology of multiple sclerosis--an overview.

Authors:  Pasquale Calabrese
Journal:  J Neurol       Date:  2006-02       Impact factor: 4.849

7.  Deep gray matter and fatigue in MS: a T1 relaxation time study.

Authors:  G Niepel; Ch R Tench; P S Morgan; N Evangelou; D P Auer; C S Constantinescu
Journal:  J Neurol       Date:  2006-03-13       Impact factor: 4.849

8.  Neocortical neuronal, synaptic, and glial loss in multiple sclerosis.

Authors:  C Wegner; M M Esiri; S A Chance; J Palace; P M Matthews
Journal:  Neurology       Date:  2006-09-26       Impact factor: 9.910

Review 9.  SyMRI of the Brain: Rapid Quantification of Relaxation Rates and Proton Density, With Synthetic MRI, Automatic Brain Segmentation, and Myelin Measurement.

Authors:  Akifumi Hagiwara; Marcel Warntjes; Masaaki Hori; Christina Andica; Misaki Nakazawa; Kanako Kunishima Kumamaru; Osamu Abe; Shigeki Aoki
Journal:  Invest Radiol       Date:  2017-10       Impact factor: 6.016

10.  MRI brain T1 relaxation time changes in MS patients increase over time in both the white matter and the cortex.

Authors:  A Parry; S Clare; M Jenkinson; S Smith; J Palace; P M Matthews
Journal:  J Neuroimaging       Date:  2003-07       Impact factor: 2.486

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