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Analysis of hyperpolarized dynamic 13C lactate imaging in a transgenic mouse model of prostate cancer by Janine M. Lupo; Albert P. Chen; Matthew L. Zierhut; Robert A. Bok; Charles H. Cunningham; John Kurhanewicz; Daniel B. Vigneron; Sarah J. Nelson is a Medicine article available to read on EtoBox.
What is Analysis of hyperpolarized dynamic 13C lactate imaging in a transgenic mouse model of prostate cancer about?
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
Who reads Analysis of hyperpolarized dynamic 13C lactate imaging in a transgenic mouse model of prostate cancer?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Janine M. Lupo; Albert P. Chen; Matthew L. Zierhut; Robert A. Bok; Charles H. Cunningham; John Kurhanewicz; Daniel B. Vigneron; Sarah J. Nelson
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0730-725X)
- Published
- 2010
- Language
- EN
- Field
- Medicine (Health Sciences)