Diagnostic accuracy of T1-weighted dynamic contrast-enhanced-MRI and DWI-ADC for differentiation of glioblastoma and primary CNS lymphoma Journal Article


Authors: Lin, X.; Lee, M.; Buck, O.; Woo, K. M.; Zhang, Z.; Hatzoglou, V.; Omuro, A.; Arevalo-Perez, J.; Thomas, A. A.; Huse, J.; Peck, K.; Holodny, A. I.; Young, R. J.
Article Title: Diagnostic accuracy of T1-weighted dynamic contrast-enhanced-MRI and DWI-ADC for differentiation of glioblastoma and primary CNS lymphoma
Abstract: Background and Purpose: Glioblastoma and primary CNS lymphoma dictate different neurosurgical strategies; it is critical to distinguish them preoperatively. However, current imaging modalities do not effectively differentiate them. We aimed to examine the use of DWI and T1-weighted dynamic contrast-enhanced-MR imaging as potential discriminative tools. MATERIALS AND METHODS: We retrospectively reviewed 18 patients with primary CNS lymphoma and 36 matched patients with glioblastoma with pretreatment DWI and dynamic contrast-enhanced-MR imaging. VOIs were drawn around the tumor on contrastenhanced T1WI and FLAIR images; these images were transferred onto coregistered ADC maps to obtain the ADC and onto dynamic contrast-enhanced perfusion maps to obtain the plasma volume and permeability transfer constant. Histogram analysis was performed to determine the mean and relative ADC mean and relative 90th percentile values for plasma volume and the permeability transfer constant. Nonparametric tests were used to assess differences, and receiver operating characteristic analysis was performed for optimal threshold calculations. RESULTS: The enhancing component of primary CNS lymphoma was found to have significantly lower ADCmean (1.1 × 10-3 versus 1.4 × 10-3; P <.001) and relative ADCmean (1.5 versus 1.9; P <.001) and relative 90th percentile values for plasma volume (3.7 versus 5.0; P <.05) than the enhancing component of glioblastoma, but not significantly different relative 90th percentile values for the permeability transfer constant (5.4 versus 4.4; P =.83). The nonenhancing portions of glioblastoma and primary CNS lymphoma did not differ in these parameters. On the basis of receiver operating characteristic analysis, mean ADC provided the best threshold (area under the curve = 0.83) to distinguish primary CNS lymphoma from glioblastoma, which was not improved with normalized ADC or the addition of perfusion parameters. CONCLUSIONS: ADC was superior to dynamic contrast-enhanced-MR imaging perfusion, alone or in combination, in differentiating primary CNS lymphoma from glioblastoma.
Journal Title: American Journal of Neuroradiology
Volume: 38
Issue: 3
ISSN: 0195-6108
Publisher: American Society of Neuroradiology  
Date Published: 2017-03-01
Start Page: 485
End Page: 491
Language: English
DOI: 10.3174/ajnr.A5023
PROVIDER: scopus
PMCID: PMC5352508
PUBMED: 27932505
DOI/URL:
Notes: Review -- Export Date: 2 May 2017 -- Source: Scopus
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MSK Authors
  1. Zhigang Zhang
    430 Zhang
  2. Robert J Young
    231 Young
  3. Antonio Marcilio Padula Omuro
    204 Omuro
  4. Jason T Huse
    143 Huse
  5. Kyung Peck
    117 Peck
  6. Andrei Holodny
    207 Holodny
  7. Michele Y Lee
    3 Lee
  8. Alissa A Thomas
    17 Thomas
  9. Kaitlin Marie Woo
    101 Woo
  10. Xuling   Lin
    15 Lin
  11. Olivia Buck
    2 Buck