4.5 Article

Advanced MRI increases the diagnostic accuracy of recurrent glioblastoma: Single institution thresholds and validation of MR spectroscopy and diffusion weighted MR imaging

Journal

NEUROIMAGE-CLINICAL
Volume 11, Issue -, Pages 316-321

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.nicl.2016.02.016

Keywords

Glioma; Recurrence; Imaging sensitivity; Spectroscopy; Apparent diffusion coefficient

Categories

Funding

  1. Czech Ministry of Health [NT14120-3/2013, NT14600-3/2013]
  2. Project FNUSA-ICRC [CZ.1.05/1.1.00/02.0123]
  3. MH CZ-DRO (MMCI) [00209805]
  4. European Regional Development Fund

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The accurate identification of glioblastoma progression remains an unmet clinical need. The aimof this prospective single-institutional study is to determine and validate thresholds for the main metabolite concentrations obtained by MR spectroscopy (MRS) and the values of the apparent diffusion coefficient (ADC) to enable distinguishing tumor recurrence from pseudoprogression. Thirty-nine patients after the standard treatment of a glioblastoma underwent advanced imaging by MRS and ADC at the time of suspected recurrence -median time to progressionwas 6.7 months. The highest significant sensitivity and specificity to call the glioblastoma recurrence was observed for the total choline (tCho) to total N-acetylaspartate (tNAA) concentration ratiowith the threshold >= 1.3 (sensitivity 100.0% and specificity 94.7%). The ADCmean value higher than 1313 x 10(-6) mm(2)/s was associated with the pseudoprogression (sensitivity 98.3%, specificity 100.0%). The combination of MRS focused on the tCho/tNAA concentration ratio and the ADCmean value represents imaging methods applicable to early non-invasive differentiation between a glioblastoma recurrence and a pseudoprogression. However, the institutional definition and validation of thresholds for differential diagnostics is needed for the elimination of setup errors before implementation of these multimodal imaging techniques into clinical practice, as well as into clinical trials. (C) 2016 The Authors. Published by Elsevier Inc.

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