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Relaxation-compensated APT and rNOE CEST-MRI of human brain tumors at 3 T.
Goerke, Steffen; Soehngen, Yannick; Deshmane, Anagha; Zaiss, Moritz; Breitling, Johannes; Boyd, Philip S; Herz, Kai; Zimmermann, Ferdinand; Klika, Karel D; Schlemmer, Heinz-Peter; Paech, Daniel; Ladd, Mark E; Bachert, Peter.
Afiliação
  • Goerke S; Division of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany.
  • Soehngen Y; Division of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany.
  • Deshmane A; Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany.
  • Zaiss M; Department of High-Field Magnetic Resonance, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany.
  • Breitling J; Department of High-Field Magnetic Resonance, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany.
  • Boyd PS; Division of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany.
  • Herz K; Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany.
  • Zimmermann F; Max-Planck-Institute for Nuclear Physics, Heidelberg, Germany.
  • Klika KD; Division of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany.
  • Schlemmer HP; Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany.
  • Paech D; Department of High-Field Magnetic Resonance, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany.
  • Ladd ME; Division of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany.
  • Bachert P; Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany.
Magn Reson Med ; 82(2): 622-632, 2019 08.
Article em En | MEDLINE | ID: mdl-30927313
ABSTRACT

PURPOSE:

Relaxation-compensated CEST-MRI (i.e., the inverse metrics magnetization transfer ratio and apparent exchange-dependent relaxation) has already been shown to provide valuable information for brain tumor diagnosis at ultrahigh magnetic field strengths. This study aims at translating the established acquisition protocol at 7 T to a clinically relevant magnetic field strength of 3 T.

METHODS:

Protein model solutions were analyzed at multiple magnetic field strengths to assess the spectral widths of the amide proton transfer and relayed nuclear Overhauser effect (rNOE) signals at 3 T. This prior knowledge of the spectral range of CEST signals enabled a reliable and stable Lorentzian-fitting also at 3 T where distinct peaks are no longer resolved in the Z-spectrum. In comparison to the established acquisition protocol at 7 T, also the image readout was extended to three dimensions.

RESULTS:

The observed spectral range of CEST signals at 3 T was approximately ±15 ppm. Final relaxation-compensated amide proton transfer and relayed nuclear Overhauser effect contrasts were in line with previous results at 7 T. Examination of a patient with glioblastoma demonstrated the applicability of this acquisition protocol in a clinical setting.

CONCLUSION:

The presented acquisition protocol allows relaxation-compensated CEST-MRI at 3 T with a 3D coverage of the human brain. Translation to a clinically relevant magnetic field strength of 3 T opens the door to trials with a large number of participants, thus enabling a comprehensive assessment of the clinical relevance of relaxation compensation in CEST-MRI.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Glioblastoma Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Glioblastoma Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Alemanha