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Contribution of macromolecules to brain 1 H MR spectra: Experts' consensus recommendations.
Cudalbu, Cristina; Behar, Kevin L; Bhattacharyya, Pallab K; Bogner, Wolfgang; Borbath, Tamas; de Graaf, Robin A; Gruetter, Rolf; Henning, Anke; Juchem, Christoph; Kreis, Roland; Lee, Phil; Lei, Hongxia; Marjanska, Malgorzata; Mekle, Ralf; Murali-Manohar, Saipavitra; Povazan, Michal; Rackayová, Veronika; Simicic, Dunja; Slotboom, Johannes; Soher, Brian J; Starcuk, Zenon; Starcuková, Jana; Tkác, Ivan; Williams, Stephen; Wilson, Martin; Wright, Andrew Martin; Xin, Lijing; Mlynárik, Vladimír.
Affiliation
  • Cudalbu C; Center for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Vaud, Switzerland.
  • Behar KL; Magnetic Resonance Research Center and Department of Psychiatry, Yale University, New Haven, Connecticut, USA.
  • Bhattacharyya PK; Cleveland Clinic Foundation, Imaging Institute, Cleveland, Ohio, USA.
  • Bogner W; High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Borbath T; Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria.
  • de Graaf RA; High-Field Magnetic Resonance, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany.
  • Gruetter R; Faculty of Science, Eberhard-Karls Universität Tübingen, Tübingen, Germany.
  • Henning A; Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut, USA.
  • Juchem C; Laboratory for Functional and Metabolic Imaging, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Kreis R; High-Field Magnetic Resonance, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany.
  • Lee P; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, Germany.
  • Lei H; Departments of Biomedical Engineering and Radiology, Columbia University, New York, USA.
  • Marjanska M; Departments of Radiology and Biomedical Research, University of Bern, Bern, Switzerland.
  • Mekle R; Department of Radiology, Hoglund Brain Imaging Center, University of Kansas Medical Center, Kansas City, Kansas, USA.
  • Murali-Manohar S; Center for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Vaud, Switzerland.
  • Povazan M; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
  • Rackayová V; Center for Stroke Research Berlin (CSB), Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Simicic D; High-Field Magnetic Resonance, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany.
  • Slotboom J; Faculty of Science, Eberhard-Karls Universität Tübingen, Tübingen, Germany.
  • Soher BJ; Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Starcuk Z; Center for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Vaud, Switzerland.
  • Starcuková J; Laboratory for Functional and Metabolic Imaging, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Tkác I; Center for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Vaud, Switzerland.
  • Williams S; Laboratory for Functional and Metabolic Imaging, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Wilson M; University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern and Inselspital, Bern, Switzerland.
  • Wright AM; Center for Advanced MR Development, Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA.
  • Xin L; Czech Academy of Sciences, Institute of Scientific Instruments, Brno, Czech Republic.
  • Mlynárik V; Czech Academy of Sciences, Institute of Scientific Instruments, Brno, Czech Republic.
NMR Biomed ; 34(5): e4393, 2021 05.
Article in En | MEDLINE | ID: mdl-33236818
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Consensus / Macromolecular Substances / Expert Testimony / Proton Magnetic Resonance Spectroscopy Type of study: Guideline Limits: Adult / Aged / Aged80 / Humans / Middle aged Language: En Journal: NMR Biomed Journal subject: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Year: 2021 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Consensus / Macromolecular Substances / Expert Testimony / Proton Magnetic Resonance Spectroscopy Type of study: Guideline Limits: Adult / Aged / Aged80 / Humans / Middle aged Language: En Journal: NMR Biomed Journal subject: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Year: 2021 Document type: Article Affiliation country: Country of publication: