David A. Hormuth, II

Research Scientist | Biomedical Engineering + Imaging Science > > Computational Oncology

DETERMINATION OF HYPOXIC TUMOR FRACTION USING MRI AND PET IN C 6 RAT BRAIN TUMORS


Journal article


A. Stokes, D. Hormuth, T. Yankeelov, C. Quarles
2012

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APA   Click to copy
Stokes, A., Hormuth, D., Yankeelov, T., & Quarles, C. (2012). DETERMINATION OF HYPOXIC TUMOR FRACTION USING MRI AND PET IN C 6 RAT BRAIN TUMORS.


Chicago/Turabian   Click to copy
Stokes, A., D. Hormuth, T. Yankeelov, and C. Quarles. ‚ÄúDETERMINATION OF HYPOXIC TUMOR FRACTION USING MRI AND PET IN C 6 RAT BRAIN TUMORS‚ÄĚ (2012).


MLA   Click to copy
Stokes, A., et al. DETERMINATION OF HYPOXIC TUMOR FRACTION USING MRI AND PET IN C 6 RAT BRAIN TUMORS. 2012.


BibTeX   Click to copy

@article{a2012a,
  title = {DETERMINATION OF HYPOXIC TUMOR FRACTION USING MRI AND PET IN C 6 RAT BRAIN TUMORS},
  year = {2012},
  journal = {},
  author = {Stokes, A. and Hormuth, D. and Yankeelov, T. and Quarles, C.}
}

Abstract

Purpose: Tumor hypoxia is associated with both poor treatment response and poor long-term prognosis. With the advent of new hypoxia-activated cytotoxic prodrugs, there is significant interest in developing non-invasive hypoxia imaging methods, which may ultimately guide patient selection for clinical treatment. In this preliminary study, we aimed to optimize MR and PET acquisition techniques in order to compare the ability of FMISO PET, Cu-ATSM PET, and quantitative BOLD (qBOLD) MRI to measure hypoxic tumor fraction in a known hypoxic tumor model (3). FMISO and Cu-ATSM PET tracers are known to target tumor hypoxia (1), while the qBOLD method was recently developed to map local oxygen saturation (LSO2) (2).


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