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Meeting ReportOncology-Basic: Basic Science

Kinetic modeling of [18F]-FMISO microPET data and its correlation with image-guided pO2 measurements

Rachel Bartlett, Pat Zanzonico, Sean Carlin, Qing Chen, Gordon Roble, Joseph O'Donoghue, Bradley Beattie, Manoj Narayanan, Jens-Christoph Georgi and John Humm
Journal of Nuclear Medicine May 2010, 51 (supplement 2) 232;
Rachel Bartlett
1Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY
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Pat Zanzonico
1Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY
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Sean Carlin
1Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY
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Qing Chen
1Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY
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Gordon Roble
1Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY
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Joseph O'Donoghue
1Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY
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Bradley Beattie
1Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY
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Manoj Narayanan
2Philips Research NA, Briarcliff Manor, NY
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Jens-Christoph Georgi
2Philips Research NA, Briarcliff Manor, NY
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John Humm
1Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY
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Abstract

232

Objectives Hypoxia increases resistance to treatment and may predict tumor progression. Non-invasive methods to determine intra-tumor hypoxia, such as PET, are being explored and validated against direct methods such as partial oxygen pressure (pO2) probe measurements and immunohistochemistry. The current study validates 18F-fluoromisonidazole ([18F]-FMISO) PET imaging in the assessment of tumor hypoxia by demonstrating the expected correlation between microPET-derived [18F]-FMISO kinetic parameters in rat tumors with spatially registered pO2 measurements.

Methods Sixteen Dunning R3327-AT prostate tumor-bearing nude rats were immobilized in a custom-fabricated whole-body mold, injected iv with FMISO, and imaged for 105 minutes on a Focus 120 microPET. Maintaining anesthesia, animals were then transferred in situ to our robotic system for image-guided intra-tumoral pO2 measurements (Oxylite probe). A removable registration plate with 4 fiduciary markers was used to align the robot and microPET coordinate systems.

Results A voxel-based 2-tissue compartment model of the microPET-derived FMISO kinetics in tumor yielded a significant inverse correlation between pO2 and the hypoxia-dependent FMISO “trapping” parameter (k3). Specifically, scatter plots exhibited a sigmoidal relationship between the pO2 vales and the corresponding FMISO k3, flux and Patlak (Ki) parameters with correlation coefficients (mean + SD) of 0.72 ± 0.29, 0.75 ± 0.28, and 0.80 ± 0.25, respectively.

Conclusions Image-guided pO2 probe and measurements validated FMISO PET imaging of tumor hypoxia, but also illustrated statistical and resolution limitations in the correlation between pO2 values and FMISO uptake parameters

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Journal of Nuclear Medicine
Vol. 51, Issue supplement 2
May 2010
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Kinetic modeling of [18F]-FMISO microPET data and its correlation with image-guided pO2 measurements
Rachel Bartlett, Pat Zanzonico, Sean Carlin, Qing Chen, Gordon Roble, Joseph O'Donoghue, Bradley Beattie, Manoj Narayanan, Jens-Christoph Georgi, John Humm
Journal of Nuclear Medicine May 2010, 51 (supplement 2) 232;

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Kinetic modeling of [18F]-FMISO microPET data and its correlation with image-guided pO2 measurements
Rachel Bartlett, Pat Zanzonico, Sean Carlin, Qing Chen, Gordon Roble, Joseph O'Donoghue, Bradley Beattie, Manoj Narayanan, Jens-Christoph Georgi, John Humm
Journal of Nuclear Medicine May 2010, 51 (supplement 2) 232;
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