Abstract #4533

Repeatability of a quantitative multiparametric MRI protocol for imaging hypoxia, cellularity, and perfusion in a murine model of glioblastoma

Ayesha Das¹, David Hormuth^1,2, Jack Virostko^2,3,4,5, and Thomas Yankeelov^1,2,3,4,5,6

¹Biomedical Engineering, University of Texas at Austin, Austin, TX, United States, ²Oden Institute for Computational Science and Engineering, University of Texas at Austin, Austin, TX, United States, ³Diagnostic Imaging, Dell Medical School, Austin, TX, United States, ⁴Livestrong Cancer Institutes, Dell Medical School, Austin, TX, United States, ⁵Oncology, Dell Medical School, Austin, TX, United States, ⁶Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States

Synopsis

Keywords: Preclinical Image Analysis, Quantitative Imaging, hypoxia

Motivation: Heterogeneous distributions of hypoxic tissues lead to divergent radiotherapy response. Thus, developing a practical, accurate, and reproducible method of quantifying hypoxia is of great interest.

Goal(s): Establish a repeatable, multiparametric MRI protocol for quantifying hypoxia.

Approach: We induced C6 brain tumors in rats and conducted test-retest TOLD-MRI, DCE-MRI, and DW-MRI exams on each rat. We then analyzed the MRI data to identify spatially distinct physiological clusters within the tumor.

Results: An initial assessment of repeatability of hypoxia, normoxia, and necrotic tissue localization within a tumor.

Impact: Developing a quantitative and repeatable protocol for quantifying tumor hypoxia will have immediate applications in studies seeking to design, assess, and optimize radiotherapy regimens.

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