European Journal of Radiology
Volume 81, Issue 2 , Pages 339-344, February 2012

Lymphomas and glioblastomas: Differences in the apparent diffusion coefficient evaluated with high b-value diffusion-weighted magnetic resonance imaging at 3T

  • Aidos Doskaliyev

      Affiliations

    • Department of Neurosurgery, Graduate School of Biomedical Science, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan
  • ,
  • Fumiyuki Yamasaki

      Affiliations

    • Department of Neurosurgery, Graduate School of Biomedical Science, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan
    • Corresponding Author InformationCorresponding author. Tel.: +81 822575227.
  • ,
  • Megu Ohtaki

      Affiliations

    • Department of Environmetrics and Biometrics, Research Inst for Radiation Biology and Medicine, Hiroshima University, Hiroshima 734-8551, Japan
  • ,
  • Yoshinori Kajiwara

      Affiliations

    • Department of Neurosurgery, Graduate School of Biomedical Science, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan
  • ,
  • Yukio Takeshima

      Affiliations

    • Department of Pathology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima 734-8551, Japan
  • ,
  • Yosuke Watanabe

      Affiliations

    • Department of Neurosurgery, Graduate School of Biomedical Science, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan
  • ,
  • Takeshi Takayasu

      Affiliations

    • Department of Neurosurgery, Graduate School of Biomedical Science, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan
  • ,
  • Vishwa Jeet Amatya

      Affiliations

    • Department of Pathology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima 734-8551, Japan
  • ,
  • Yuji Akiyama

      Affiliations

    • Department of Clinical Radiology, Hiroshima University Hospital, Hiroshima 734-8551, Japan
  • ,
  • Kazuhiko Sugiyama

      Affiliations

    • Department of Neurosurgery, Graduate School of Biomedical Science, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan
  • ,
  • Kaoru Kurisu

      Affiliations

    • Department of Neurosurgery, Graduate School of Biomedical Science, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan

Received 10 August 2010; received in revised form 15 October 2010; accepted 3 November 2010.

Abstract 

Background and purpose

As the usefulness of the apparent diffusion coefficient (ADC) obtained from diffusion-weighted images (DWI) for the differential diagnosis between glioblastoma and primary central nervous system lymphoma is controversial, we assessed whether high b-value DWI at b 4000s/mm2 could discriminate between glioblastoma and lymphoma. We also compared the power of high- and standard b-value (b-4000, b-1000) imaging on a 3-Tesla (3T) magnetic resonance (MR) instrument.

Materials and methods

This study was approved by our Institutional Review Board. We acquired DWI at 3T with b=1000 and b=4000s/mm2 in 10 patients with lymphoma and 14 patients with glioblastoma. The ADC was measured by placing multiple regions of interest (ROI) on ADC maps of the site of enhanced lesions on contrast-enhanced T1-weighted MR images. We avoided hemorrhagic and cystic lesions by using T1-, T2-, FLAIR-, and T2* MR images. The ADC values of each tumor were determined preoperatively from several ROI and expressed as the minimum-, mean-, and maximum ADC value (ADCMIN, ADCMEAN, ADCMAX). We evaluated the relationship between ADCs and histological information including tumor cellularity.

Results

All ADC values were statistically associated with tumor cellularity. ADCMIN at b-4000 was associated with tumor cellularity more significantly than ADCMIN at b-1000. All ADC values were lower for lymphoma than glioblastoma and the statistical difference was larger at b=4000- than b=1000s/mm2. According to the results of discriminant analysis, the log likelihood was greatest for ADCMIN at b=4000. At a cut-off value of ADCMIN=0.500×10−3mm2/s at b-4000 it was possible to differentiate between lymphoma and glioblastoma (sensitivity 90.9%, specificity 91.7%).

Conclusions

Calculating the ADC value is useful for distinguishing lymphoma from glioblastoma. The lowest degree of overlapping and a better inverse correspondence with tumor cellularity were obtained with ADCMIN at b-4000s/mm2 at 3T MRI.

Abbreviations: MR, magnetic resonance, ADC, apparent diffusion coefficient, ADCMIN, minimum absolute values of apparent diffusion coefficient, ADCMEAN, mean absolute values of apparent diffusion coefficient, ADCMAX, maximum absolute values of apparent diffusion coefficient, DWI, diffusion-weighted images, CNS, central nervous system, b-1000, b 1000s/mm2, standard b value, b-4000, b 4000s/mm2, high b value, 3T, 3-Tesla, FLAIR, fluid-attenuated inversion recovery, ROI, region of interest, TR, repetition time, TE, echo time, FOV, field of view

Keywords: Lymphoma, Glioblastoma, ADC, High b value, Cellularity

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PII: S0720-048X(10)00550-4

doi:10.1016/j.ejrad.2010.11.005

European Journal of Radiology
Volume 81, Issue 2 , Pages 339-344, February 2012