Literature DB >> 33025136

[Perspectives of X-nuclei magnetic resonance imaging in neuro-oncology].

Sebastian Regnery1, Tanja Platt2.   

Abstract

BACKGROUND: X‑nuclei magnetic resonance imaging (MRI) yields a broad spectrum of metabolic and functional imaging techniques with increasing clinical feasibility.
OBJECTIVE: Current X‑nuclei techniques in (neuro)oncology with emphasis on potential clinical applications of sodium and oxygen MRI are described and discussed.
MATERIALS AND METHODS: Review with discussion of state-of-the-art literature on X‑nuclei imaging.
RESULTS: X‑nuclei MRI employs NMR-sensitive nonproton nuclei to enable both anatomical visualization as well as noninvasive imaging and quantification of physiological processes in the human body. At the moment, sodium MRI represents the most common application of X‑nuclei MRI because of its comparatively high NMR signal. Moreover, its sensitivity to pathological cellular proliferation renders sodium MRI a good candidate for oncological imaging, yielding additional biochemical information to proton MRI. Oxygen MRI is currently primarily investigational, requiring high technical efforts and costs. However, preliminary results show a huge potential of this technique for metabolic characterization of tumors.
CONCLUSIONS: X‑nuclei MRI is a rapidly evolving field in metabolic and functional imaging. In coming years, sodium MRI is expected to be increasingly used as an additional clinical tool in oncology to enhance diagnostic accuracy.

Entities:  

Keywords:  Diagnostic imaging; Glioma; Nuclear magnetic resonance; Oxygen consumption; Sodium

Mesh:

Year:  2021        PMID: 33025136     DOI: 10.1007/s00117-020-00753-8

Source DB:  PubMed          Journal:  Radiologe        ISSN: 0033-832X            Impact factor:   0.635


  20 in total

1.  Classification of sodium MRI data of cartilage using machine learning.

Authors:  Guillaume Madelin; Frederick Poidevin; Antonios Makrymallis; Ravinder R Regatte
Journal:  Magn Reson Med       Date:  2014-11-03       Impact factor: 4.668

Review 2.  Measurement techniques for magnetic resonance imaging of fast relaxing nuclei.

Authors:  Simon Konstandin; Armin M Nagel
Journal:  MAGMA       Date:  2013-07-24       Impact factor: 2.310

3.  Three-dimensional dictionary-learning reconstruction of (23)Na MRI data.

Authors:  Nicolas G R Behl; Christine Gnahm; Peter Bachert; Mark E Ladd; Armin M Nagel
Journal:  Magn Reson Med       Date:  2015-05-19       Impact factor: 4.668

4.  Enhancing the quantification of tissue sodium content by MRI: time-efficient sodium B1 mapping at clinical field strengths.

Authors:  Jonathan Lommen; Simon Konstandin; Philipp Krämer; Lothar R Schad
Journal:  NMR Biomed       Date:  2015-04-21       Impact factor: 4.044

5.  Partial volume correction for in vivo (23)Na-MRI data of the human brain.

Authors:  Sebastian C Niesporek; Stefan H Hoffmann; Moritz C Berger; Nadia Benkhedah; Aaron Kujawa; Peter Bachert; Armin M Nagel
Journal:  Neuroimage       Date:  2015-03-20       Impact factor: 6.556

6.  Three-layered radio frequency coil arrangement for sodium MRI of the human brain at 9.4 Tesla.

Authors:  G Shajan; Christian Mirkes; Kai Buckenmaier; Jens Hoffmann; Rolf Pohmann; Klaus Scheffler
Journal:  Magn Reson Med       Date:  2015-03-11       Impact factor: 4.668

Review 7.  Pros and cons of ultra-high-field MRI/MRS for human application.

Authors:  Mark E Ladd; Peter Bachert; Martin Meyerspeer; Ewald Moser; Armin M Nagel; David G Norris; Sebastian Schmitter; Oliver Speck; Sina Straub; Moritz Zaiss
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2018-06-08       Impact factor: 9.795

8.  Tissue sodium concentration in human brain tumors as measured with 23Na MR imaging.

Authors:  Ronald Ouwerkerk; Karen B Bleich; Joseph S Gillen; Martin G Pomper; Paul A Bottomley
Journal:  Radiology       Date:  2003-03-27       Impact factor: 11.105

9.  Anatomically weighted second-order total variation reconstruction of 23Na MRI using prior information from 1H MRI.

Authors:  Christine Gnahm; Armin M Nagel
Journal:  Neuroimage       Date:  2014-11-08       Impact factor: 6.556

10.  Residual Tumor Volume, Cell Volume Fraction, and Tumor Cell Kill During Fractionated Chemoradiation Therapy of Human Glioblastoma using Quantitative Sodium MR Imaging.

Authors:  Keith R Thulborn; Aiming Lu; Ian C Atkinson; Mohan Pauliah; Kathryn Beal; Timothy A Chan; Antonio Omuro; Josh Yamada; Michelle S Bradbury
Journal:  Clin Cancer Res       Date:  2018-11-28       Impact factor: 12.531

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  1 in total

1.  Assessment of Sodium MRI at 7 Tesla as Predictor of Therapy Response and Survival in Glioblastoma Patients.

Authors:  Daniel Paech; Sebastian Regnery; Tanja Platt; Nicolas G R Behl; Nina Weckesser; Paul Windisch; Katerina Deike-Hofmann; Wolfgang Wick; Martin Bendszus; Stefan Rieken; Laila König; Mark E Ladd; Heinz-Peter Schlemmer; Jürgen Debus; Sebastian Adeberg
Journal:  Front Neurosci       Date:  2021-12-01       Impact factor: 4.677

  1 in total

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