RT Journal Article SR Electronic T1 Pharmacokinetic Analysis of Dynamic 18F-Fluoromisonidazole PET Data in Non–Small Cell Lung Cancer JF Journal of Nuclear Medicine JO J Nucl Med FD Society of Nuclear Medicine SP 911 OP 919 DO 10.2967/jnumed.116.180422 VO 58 IS 6 A1 Jazmin Schwartz A1 Milan Grkovski A1 Andreas Rimner A1 Heiko Schöder A1 Pat B. Zanzonico A1 Sean D. Carlin A1 Kevin D. Staton A1 John L. Humm A1 Sadek A. Nehmeh YR 2017 UL http://jnm.snmjournals.org/content/58/6/911.abstract AB Hypoxic tumors exhibit increased resistance to radiation, chemical, and immune therapies. 18F-fluoromisonidazole (18F-FMISO) PET is a noninvasive, quantitative imaging technique used to evaluate the magnitude and spatial distribution of tumor hypoxia. In this study, pharmacokinetic analysis (PKA) of 18F-FMISO dynamic PET extended to 3 h after injection is reported for the first time, to our knowledge, in stage III–IV non–small cell lung cancer (NSCLC) patients. Methods: Sixteen patients diagnosed with NSCLC underwent 2 PET/CT scans (1–3 d apart) before radiation therapy: a 3-min static 18F-FDG and a dynamic 18F-FMISO scan lasting 168 ± 15 min. The latter data were acquired in 3 serial PET/CT dynamic imaging sessions, registered with each other and analyzed using pharmacokinetic modeling software. PKA was performed using a 2-tissue, 3-compartment irreversible model, and kinetic parameters were estimated for the volumes of interest determined using coregistered 18F-FDG images for both the volume of interest–averaged and the voxelwise time–activity curves for each patient’s lesions, normal lung, and muscle. Results: We derived average values of 18F-FMISO kinetic parameters for NSCLC lesions as well as for normal lung and muscle. We also investigated the correlation between the trapping rate (k3) and delivery rate (K1), influx rate (Ki) constants, and tissue-to-blood activity concentration ratios (TBRs) for all tissues. Lesions had trapping rates 1.6 times larger, on average, than those of normal lung and 4.4 times larger than those in muscle. Additionally, for almost all cases, k3 and Ki had a significant strong correlation for all tissue types. The TBR–k3 correlation was less straightforward, showing a moderate to strong correlation for only 41% of lesions. Finally, K1–k3 voxelwise correlations for tumors were varied, but negative for 76% of lesions, globally exhibiting a weak inverse relationship (average R = −0.23 ± 0.39). However, both normal tissue types exhibited significant positive correlations for more than 60% of patients, with 41% having moderate to strong correlations (R > 0.5). Conclusion: All lesions showed distinct 18F-FMISO uptake. Variable 18F-FMISO delivery was observed across lesions, as indicated by the variable values of the kinetic rate constant K1. Except for 3 cases, some degree of hypoxia was apparent in all lesions based on their nonzero k3 values.