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Research ArticleAdult Brain

Added Value of Spectroscopy to Perfusion MRI in the Differential Diagnostic Performance of Common Malignant Brain Tumors

A. Vallée, C. Guillevin, M. Wager, V. Delwail, R. Guillevin and J.-N. Vallée
American Journal of Neuroradiology August 2018, 39 (8) 1423-1431; DOI: https://doi.org/10.3174/ajnr.A5725
A. Vallée
aFrom the Délégation à la Recherche Clinique et à l'innovation (A.V.), Hôpital Foch, 92150 Suresnes, France
bDACTIM-MIS, UMR CNRS 7348 (A.V., C.G., R.G., J.-N.V.), Laboratory of Mathematics and Applications (LMA), University of Poitiers, 86000 Poitiers, France
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C. Guillevin
bDACTIM-MIS, UMR CNRS 7348 (A.V., C.G., R.G., J.-N.V.), Laboratory of Mathematics and Applications (LMA), University of Poitiers, 86000 Poitiers, France
dDepartments of Radiology (C.G., R.G.)
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M. Wager
cInstitut National de la Santé et de la Recherche Médicale (INSERM) U-1084 (M.W.), Experimental and Clinical Neurosciences Laboratory, University of Poitiers, 86000 Poitiers, France
eNeurosurgery (M.W.)
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V. Delwail
fHaematology (V.D.), Poitiers University Hospital, University of Poitiers, 86000 Poitiers, France
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R. Guillevin
bDACTIM-MIS, UMR CNRS 7348 (A.V., C.G., R.G., J.-N.V.), Laboratory of Mathematics and Applications (LMA), University of Poitiers, 86000 Poitiers, France
dDepartments of Radiology (C.G., R.G.)
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J.-N. Vallée
bDACTIM-MIS, UMR CNRS 7348 (A.V., C.G., R.G., J.-N.V.), Laboratory of Mathematics and Applications (LMA), University of Poitiers, 86000 Poitiers, France
gDepartment of Diagnostic and Interventional Neuroradiology (J.-N.V.), Amiens University Hospital, University Picardie Jules Verne of Amiens, 80054 Amiens, France.
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Article Information

vol. 39 no. 8 1423-1431
DOI 
https://doi.org/10.3174/ajnr.A5725
PubMed 
30049719

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received September 6, 2017
  • Accepted after revision May 1, 2018
  • Published online August 14, 2018.

Copyright & Usage 
© 2018 by American Journal of Neuroradiology

Author Information

  1. A. Valléea,b,
  2. C. Guillevinb,d,
  3. M. Wagerc,e,
  4. V. Delwailf,
  5. R. Guillevinb,d and
  6. J.-N. Valléeb,g
  1. aFrom the Délégation à la Recherche Clinique et à l'innovation (A.V.), Hôpital Foch, 92150 Suresnes, France
  2. bDACTIM-MIS, UMR CNRS 7348 (A.V., C.G., R.G., J.-N.V.), Laboratory of Mathematics and Applications (LMA), University of Poitiers, 86000 Poitiers, France
  3. cInstitut National de la Santé et de la Recherche Médicale (INSERM) U-1084 (M.W.), Experimental and Clinical Neurosciences Laboratory, University of Poitiers, 86000 Poitiers, France
  4. dDepartments of Radiology (C.G., R.G.)
  5. eNeurosurgery (M.W.)
  6. fHaematology (V.D.), Poitiers University Hospital, University of Poitiers, 86000 Poitiers, France
  7. gDepartment of Diagnostic and Interventional Neuroradiology (J.-N.V.), Amiens University Hospital, University Picardie Jules Verne of Amiens, 80054 Amiens, France.
  1. Please address correspondence to J.-N. Vallée, MD, PhD, Department of Diagnostic and Interventional Neuroradiology, Amiens University Hospital, University Picardie Jules Verne of Amiens (UPJV), 80054 Amiens, France; UMR CNRS 7348, Laboratory of Mathematics and Applications, University of Poitiers, Poitiers, France; e-mail: valleejn{at}gmail.com
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This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Diagnostic value of alternative techniques to gadolinium-based contrast agents in MR neuroimaging—a comprehensive overview
    Anna Falk Delgado, Danielle Van Westen, Markus Nilsson, Linda Knutsson, Pia C. Sundgren, Elna-Marie Larsson, Alberto Falk Delgado
    Insights into Imaging 2019 10 1
  • Discrimination between Glioblastoma and Solitary Brain Metastasis: Comparison of Inflow-Based Vascular-Space-Occupancy and Dynamic Susceptibility Contrast MR Imaging
    X. Li, D. Wang, S. Liao, L. Guo, X. Xiao, X. Liu, Y. Xu, J. Hua, J.J. Pillai, Y. Wu
    American Journal of Neuroradiology 2020 41 4
  • Machine learning decision tree models for multiclass classification of common malignant brain tumors using perfusion and spectroscopy MRI data
    Rodolphe Vallée, Jean-Noël Vallée, Carole Guillevin, Athéna Lallouette, Clément Thomas, Guillaume Rittano, Michel Wager, Rémy Guillevin, Alexandre Vallée
    Frontiers in Oncology 2023 13
  • Feasibility of using Gramian angular field for preprocessing MR spectroscopy data in AI classification tasks: Differentiating glioblastoma from lymphoma
    Arsany Hakim, Irena Zubak, Christina Marx, Thomas Rhomberg, Theoni Maragkou, Johannes Slotboom, Michael Murek
    European Journal of Radiology 2025 184
  • Role of Radiological Intervention in Brain Tumor: A Meta-Analysis
    Tareef Sahal Daqqaq
    International Surgery 2019 104 7-8
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American Journal of Neuroradiology: 39 (8)
American Journal of Neuroradiology
Vol. 39, Issue 8
1 Aug 2018
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Cite this article
A. Vallée, C. Guillevin, M. Wager, V. Delwail, R. Guillevin, J.-N. Vallée
Added Value of Spectroscopy to Perfusion MRI in the Differential Diagnostic Performance of Common Malignant Brain Tumors
American Journal of Neuroradiology Aug 2018, 39 (8) 1423-1431; DOI: 10.3174/ajnr.A5725

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Added Value of Spectroscopy to Perfusion MRI in the Differential Diagnostic Performance of Common Malignant Brain Tumors
A. Vallée, C. Guillevin, M. Wager, V. Delwail, R. Guillevin, J.-N. Vallée
American Journal of Neuroradiology Aug 2018, 39 (8) 1423-1431; DOI: 10.3174/ajnr.A5725
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  • Discrimination between Glioblastoma and Solitary Brain Metastasis: Comparison of Inflow-Based Vascular-Space-Occupancy and Dynamic Susceptibility Contrast MR Imaging
  • Crossref (5)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Diagnostic value of alternative techniques to gadolinium-based contrast agents in MR neuroimaging—a comprehensive overview
    Anna Falk Delgado, Danielle Van Westen, Markus Nilsson, Linda Knutsson, Pia C. Sundgren, Elna-Marie Larsson, Alberto Falk Delgado
    Insights into Imaging 2019 10 1
  • Discrimination between Glioblastoma and Solitary Brain Metastasis: Comparison of Inflow-Based Vascular-Space-Occupancy and Dynamic Susceptibility Contrast MR Imaging
    X. Li, D. Wang, S. Liao, L. Guo, X. Xiao, X. Liu, Y. Xu, J. Hua, J.J. Pillai, Y. Wu
    American Journal of Neuroradiology 2020 41 4
  • Machine learning decision tree models for multiclass classification of common malignant brain tumors using perfusion and spectroscopy MRI data
    Rodolphe Vallée, Jean-Noël Vallée, Carole Guillevin, Athéna Lallouette, Clément Thomas, Guillaume Rittano, Michel Wager, Rémy Guillevin, Alexandre Vallée
    Frontiers in Oncology 2023 13
  • Feasibility of using Gramian angular field for preprocessing MR spectroscopy data in AI classification tasks: Differentiating glioblastoma from lymphoma
    Arsany Hakim, Irena Zubak, Christina Marx, Thomas Rhomberg, Theoni Maragkou, Johannes Slotboom, Michael Murek
    European Journal of Radiology 2025 184
  • Role of Radiological Intervention in Brain Tumor: A Meta-Analysis
    Tareef Sahal Daqqaq
    International Surgery 2019 104 7-8

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