| Literature DB >> 33236818 |
Cristina Cudalbu1, Kevin L Behar2, Pallab K Bhattacharyya3, Wolfgang Bogner4,5, Tamas Borbath6,7, Robin A de Graaf8, Rolf Gruetter9, Anke Henning6,10, Christoph Juchem11, Roland Kreis12, Phil Lee13, Hongxia Lei1, Małgorzata Marjańska14, Ralf Mekle15, Saipavitra Murali-Manohar6,7, Michal Považan16, Veronika Rackayová1,9, Dunja Simicic1,9, Johannes Slotboom17, Brian J Soher18, Zenon Starčuk19, Jana Starčuková19, Ivan Tkáč14, Stephen Williams20, Martin Wilson21, Andrew Martin Wright6,22, Lijing Xin1, Vladimír Mlynárik4,5.
Abstract
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.Entities:
Keywords: brain macromolecules; fitting; metabolite quantification; mobile lipids; parameterization; proton magnetic resonance spectroscopy; quantification; spectral analysis
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Year: 2020 PMID: 33236818 DOI: 10.1002/nbm.4393
Source DB: PubMed Journal: NMR Biomed ISSN: 0952-3480 Impact factor: 4.044