All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Contribution of macromolecules to brain H-1 MR spectra: Experts' consensus recommendations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F21%3A00536954" target="_blank" >RIV/68081731:_____/21:00536954 - isvavai.cz</a>

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/epdf/10.1002/nbm.4393" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1002/nbm.4393</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/nbm.4393" target="_blank" >10.1002/nbm.4393</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Contribution of macromolecules to brain H-1 MR spectra: Experts' consensus recommendations

  • Original language description

    Proton MR spectra of the brain, especially those measured at short and intermediate echo times, contain signals from mobile macromolecules (MM). A description of the main MM is provided in this consensus paper. These broad peaks of MM underlie the narrower peaks of metabolites and often complicate their quantification but they also may have potential importance as biomarkers in specific diseases. Thus, separation of broad MM signals from low molecular weight metabolites enables accurate determination of metabolite concentrations and is of primary interest in many studies. Other studies attempt to understand the origin of the MM spectrum, to decompose it into individual spectral regions or peaks and to use the components of the MM spectrum as markers of various physiological or pathological conditions in biomedical research or clinical practice. The aim of this consensus paper is to provide an overview and some recommendations on how to handle the MM signals in different types of studies together with a list of open issues in the field, which are all summarized at the end of the paper.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

    <a href="/en/project/EF16_013%2F0001775" target="_blank" >EF16_013/0001775: Modernization and support of research activities of the national infrastructure for biological and medical imaging Czech-BioImaging</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

    Nmr in Biomedicine

  • ISSN

    0952-3480

  • e-ISSN

    1099-1492

  • Volume of the periodical

    34

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    24

  • Pages from-to

    e4393

  • UT code for WoS article

    000591993900001

  • EID of the result in the Scopus database

    2-s2.0-85096776986