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Hypoxia Imaging of Rodent Xenografts with <sup>18</sup>F-Fluoromisonidazole: Comparison of Dynamic and Static PET Imaging

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International Journal of Medical Physics, Clinical Engineering and Radiation Oncology 2012年第3期1卷 95-104页

作者： Kelin Wang Jens-Christoph Georgi Pat Zanzonico Manoj Narayanan timo paulus Matthien Bal Wenli Wang Shangde Cai Joseph O’Donoghue C. Clifton Ling John L. Humm Department of Medical Physics Memorial Sloan-Kettering Cancer Center New York USA Department of Radiation Oncology University of Miami Coral Gables USA Department of Radiology Memorial Sloan-Kettering Cancer Center New York USA Philips Research North America Briarcliff Manor New York USA Philips Technologie GmbH Forschungslaboratorien Aachen Germany Toshiba Medical Research Institute Vernon Hill USA Varian Medical Systems Inc. Palo Alto USA

Purpose: To generate parametric images of tumor hypoxia in a tumor-bearing rat model using voxel-based compartmental analysis of dynamic fluorine-18 labeled misonidazole (18F-FMISO) microPET? images, and to compare the parametric images thus derived with static “late” 18F-FMISO microPET? images for the detection of tumor hypoxia. Materials and Methods: Nude rats bearing HT-29 colorectal carcinoma xenografts (≈1.5 - 2 cm in diameter) in the right hind limb were positioned in a custom-fabricated, animal-specific foam mold. Animals were injected via the tail vein with ≈55.5 MBq 18F-FMISO and continuously imaged for either 60 or 120 minutes, with additional late static images up to 3 hour post-injection. The raw list-mode data was reconstructed into 37 - 64 frames with earlier frames of shorter time durations (12 - 15 seconds) and later frames of longer durations (up to 300 seconds). Time activity curves (TACs) were generated over regions encompassing the tumor as well as an artery, the latter for use as an input function. A beta version of a compartmental modeling package (BioGuide?, Philips Healthcare) was used to generate parametric images of k3 and Ki, rate constants of entrapment and flux of 18F-FMISO, respectively. Results: Data for 7 HT-29 tumor xenografts were presented, 6 of which yielded clear areas of tumor hypoxia as defined by Ki/k3 maps. Importantly, intratumoral foci with high 18F-FMISO uptakes on the late images did not always exhibit high Ki/k3 values and may there- fore represent false-positives for radiobiologically significant hypoxia. Conclusions: This study attempts to quantify tumor hypoxia using compartmental analysis of dynamic 18F-FMISO PET images in rodent xenograft tumor models. The results demonstrate feasibility of the approach in small-animal imaging studies, and provide evidence for the possible unreliability of late-time static imaging of 18F-FMISO PET in identifying tumor hypoxia.

关键词： Tumor Hypoxia Dynamic image Compartmental Modeling 18F-FMISO PET

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