Magnetic Resonance Imaging
Volume 28, Issue 2 , Pages 153-162, February 2010

Analysis of hyperpolarized dynamic 13C lactate imaging in a transgenic mouse model of prostate cancer

  • Janine M. Lupo

      Affiliations

    • Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
    • Corresponding Author InformationCorresponding author. UCSF Radiology, Box 2532, San Francisco, CA 94158-2532, USA. Tel.: +1 415 514 4420; fax: +1 415 514 2550.
  • ,
  • Albert P. Chen

      Affiliations

    • Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
  • ,
  • Matthew L. Zierhut

      Affiliations

    • Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
    • UCSF/UCB Joint Graduate Group in Bioengineering, University of California San Francisco, San Francisco, CA 94158, USA
  • ,
  • Robert A. Bok

      Affiliations

    • Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
  • ,
  • Charles H. Cunningham

      Affiliations

    • Department of Medical Biophysics, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada M56 2M9
  • ,
  • John Kurhanewicz

      Affiliations

    • Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
    • Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94158, USA
  • ,
  • Daniel B. Vigneron

      Affiliations

    • Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
    • Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94158, USA
  • ,
  • Sarah J. Nelson

      Affiliations

    • Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
    • Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94158, USA

Received 5 February 2009; received in revised form 12 May 2009; accepted 4 July 2009. published online 20 August 2009.

Abstract 

This study investigated the application of an acquisition that selectively excites the [1-13C]lactate resonance and allows dynamic tracking of the conversion of 13C-lactate from hyperpolarized 13C-pyruvate at a high spatial resolution. In order to characterize metabolic processes occurring in a mouse model of prostate cancer, 20 sequential 3D images of 13C-lactate were acquired 5 s apart using a pulse sequence that incorporated a spectral–spatial excitation pulse and a flyback echo-planar readout to track the time course of newly converted 13C-lactate after injection of prepolarized 13C-pyruvate. The maximum lactate signal (MLS), full-width half-maximum (FWHM), time to the peak 13C-lactate signal (TTP) and area under the dynamic curve were calculated from the dynamic images of 10 TRAMP mice and two wild-type controls. The regional variation in 13C-lactate associated with the injected pyruvate was demonstrated by the peak of the 13C-lactate signal occurring earlier in the kidney than in the tumor region. The intensity of the dynamic 13C-lactate curves also varied spatially within the tumor, illustrating the heterogeneity in metabolism that was most prominent in more advanced stages of disease development. The MLS was significantly higher in TRAMP mice that had advanced disease.

Keywords: DNP, Hyperpolarized 13C, Lactate imaging, TRAMP, Prostate cancer

To access this article, please choose from the options below

Login to an existing account or Register a new account.

 

 This article was presented in part at the 16th Annual Meeting of ISMRM, Toronto, Ontario, Canada, 2008.

 This research was supported by NIH grants R01-EB007588, R21-EB005363 and R01-CA111291, and UC Discovery grants LSIT01-10107 and ITL-BIO04-10148 in conjunction with GE Healthcare.

PII: S0730-725X(09)00180-5

doi:10.1016/j.mri.2009.07.007

Magnetic Resonance Imaging
Volume 28, Issue 2 , Pages 153-162, February 2010