Multiparametric Quantitative MRI in Neurological Diseases
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15110%2F21%3A73607785" target="_blank" >RIV/61989592:15110/21:73607785 - isvavai.cz</a>
Result on the web
<a href="https://www.frontiersin.org/articles/10.3389/fneur.2021.640239/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fneur.2021.640239/full</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fneur.2021.640239" target="_blank" >10.3389/fneur.2021.640239</a>
Alternative languages
Result language
angličtina
Original language name
Multiparametric Quantitative MRI in Neurological Diseases
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30210 - Clinical neurology
Result continuities
Project
—
Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Frontiers in Neurology
ISSN
1664-2295
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
March 2021
Country of publishing house
CH - SWITZERLAND
Number of pages
8
Pages from-to
"'640239(1)'"-"'640239(8)'"
UT code for WoS article
000631057100001
EID of the result in the Scopus database
2-s2.0-85102939119