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

0536954 - ÚPT 2022 RIV US eng J - Článek v odborném periodiku
Cudalbu, C. - Behar, K. L. - Bhattacharyya, P. K. - Bogner, W. - Borbath, T. - de Graaf, R. A. - Gruetter, R. - Henning, A. - Juchem, C. - Kreis, R. - Lee, P. - Lei, H. - Marjanska, M. - Mekle, R. - Murali-Manohar, S. - Považan, M. - Rackayová, V. - Simicic, D. - Slotboom, J. - Soher, B. J. - Starčuk jr., Zenon - Starčuková, Jana - Tkáč, I. - Williams, S. - Wilson, M. - Wright, A. M. - Xin, L. - Mlynárik, V.
Contribution of macromolecules to brain H-1 MR spectra: Experts' consensus recommendations.
Nmr in Biomedicine. Roč. 34, č. 5 (2021), č. článku e4393. ISSN 0952-3480. E-ISSN 1099-1492
Grant CEP: GA MŠMT(CZ) EF16_013/0001775
Institucionální podpora: RVO:68081731
Klíčová slova: brain macromolecules * fitting * metabolite quantification * mobile lipids * parameterization * proton magnetic resonance spectroscopy * quantification * spectral analysis
Obor OECD: Medical engineering
Impakt faktor: 4.478, rok: 2021
Způsob publikování: Open access
https://onlinelibrary.wiley.com/doi/epdf/10.1002/nbm.4393

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.
Trvalý link: http://hdl.handle.net/11104/0314703