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Evaluation of IAUGC indices and two DCE-MRI pharmacokinetic parameters assessed by two different theoretical algorithms in patients with brain tumors

  • Maurizio Bergamino
    Correspondence
    Corresponding author. Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy. Magnetic Resonance Research Centre on Nervous System Diseases, University of Genoa, Genoa, Italy. Tel.: +39 0103537850; fax: +39 0103538639.
    Affiliations
    Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy

    Magnetic Resonance Research Centre on Nervous System Diseases, University of Genoa, Genoa, Italy
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  • Laura Barletta
    Affiliations
    Department of Diagnostic and Interventional Neuroradiology, San Martino University Hospital, Genoa, Italy
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  • Lucio Castellan
    Affiliations
    Department of Diagnostic and Interventional Neuroradiology, San Martino University Hospital, Genoa, Italy
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  • Laura Saitta
    Affiliations
    Department of Diagnostic and Interventional Neuroradiology, San Martino University Hospital, Genoa, Italy
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  • Giovanni Luigi Mancardi
    Affiliations
    Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy

    Magnetic Resonance Research Centre on Nervous System Diseases, University of Genoa, Genoa, Italy
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  • Luca Roccatagliata
    Affiliations
    Magnetic Resonance Research Centre on Nervous System Diseases, University of Genoa, Genoa, Italy

    Department of Diagnostic and Interventional Neuroradiology, San Martino University Hospital, Genoa, Italy

    Department of Health Sciences, University of Genoa, Genoa, Italy
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      Abstract

      Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) quantifies blood–brain barrier (BBB) microvascular permeability in brain tumors where it is structurally and functionally abnormal. Twenty-five patients with glioblastomas (105 regions of interest) were compared using DCE-MRI metrics obtained with Tofts–Kety (TK) and extended TK (ETK) models using different arterial input function assessments and different initial area under the gadolinium curve (IAUGC) indices.
      Strong correlations between ve and IAUGC90 were found (EKT model: R=0.75 and R=0.69), while correlations of Ktrans with both IAUGC80/90 indices were weak. Differences in the permeability parameters, calculated by these two models, were found.
      While the IAUGC method can be implemented more easily than pharmacokinetic models, at this time, the IAUGC approach alone does not substitute pharmacokinetic models in BBB permeability characterization.

      Keywords

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