Literature DB >> 33763021

Multiparametric Quantitative MRI in Neurological Diseases.

Alexander Seiler1,2, Ulrike Nöth2,3, Pavel Hok4, Annemarie Reiländer1,2, Michelle Maiworm1,2,3, Simon Baudrexel1,2, Sven Meuth5, Felix Rosenow1,3,6, Helmuth Steinmetz1,3, Marlies Wagner2,3, Elke Hattingen3,7, Ralf Deichmann2,3, René-Maxime Gracien1,2,3.   

Abstract

Magnetic resonance imaging (MRI) is the gold standard imaging technique for diagnosis and monitoring of many neurological diseases. However, the application of conventional MRI in clinical routine is mainly limited to the visual detection of macroscopic tissue pathology since mixed tissue contrasts depending on hardware and protocol parameters hamper its application for the assessment of subtle or diffuse impairment of the structural tissue integrity. Multiparametric quantitative (q)MRI determines tissue parameters quantitatively, enabling the detection of microstructural processes related to tissue remodeling in aging and neurological diseases. In contrast to measuring tissue atrophy via structural imaging, multiparametric qMRI allows for investigating biologically distinct microstructural processes, which precede changes of the tissue volume. This facilitates a more comprehensive characterization of tissue alterations by revealing early impairment of the microstructural integrity and specific disease-related patterns. So far, qMRI techniques have been employed in a wide range of neurological diseases, including in particular conditions with inflammatory, cerebrovascular and neurodegenerative pathology. Numerous studies suggest that qMRI might add valuable information, including the detection of microstructural tissue damage in areas appearing normal on conventional MRI and unveiling the microstructural correlates of clinical manifestations. This review will give an overview of current qMRI techniques, the most relevant tissue parameters and potential applications in neurological diseases, such as early (differential) diagnosis, monitoring of disease progression, and evaluating effects of therapeutic interventions.
Copyright © 2021 Seiler, Nöth, Hok, Reiländer, Maiworm, Baudrexel, Meuth, Rosenow, Steinmetz, Wagner, Hattingen, Deichmann and Gracien.

Entities:  

Keywords:  brain imaging; epilepsy; multiple sclerosis; neurodegeneration; neuroimaging; quantitative magnetic resonance imaging

Year:  2021        PMID: 33763021      PMCID: PMC7982527          DOI: 10.3389/fneur.2021.640239

Source DB:  PubMed          Journal:  Front Neurol        ISSN: 1664-2295            Impact factor:   4.003


  3 in total

1.  Differential associations between apolipoprotein E alleles and cerebral myelin content in normative aging.

Authors:  Curtis Triebswetter; Matthew Kiely; Nikkita Khattar; Luigi Ferrucci; Susan M Resnick; Richard G Spencer; Mustapha Bouhrara
Journal:  Neuroimage       Date:  2022-02-09       Impact factor: 6.556

Review 2.  Primary Multiparametric Quantitative Brain MRI: State-of-the-Art Relaxometric and Proton Density Mapping Techniques.

Authors:  Hernán Jara; Osamu Sakai; Ezequiel Farrher; Ana-Maria Oros-Peusquens; N Jon Shah; David C Alsop; Kathryn E Keenan
Journal:  Radiology       Date:  2022-08-30       Impact factor: 29.146

3.  Editorial: Fast Multi-Parameter Magnetic Resonance Neuroimaging.

Authors:  Jiazheng Wang; Shuhui Cai; Zhiyong Zhang; Congbo Cai
Journal:  Front Neurosci       Date:  2022-06-29       Impact factor: 5.152

  3 in total

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