Feasibility of 18F-Fluoromisonidazole Kinetic Modeling in Head and Neck Cancer Using Shortened Acquisition Times.

TitleFeasibility of 18F-Fluoromisonidazole Kinetic Modeling in Head and Neck Cancer Using Shortened Acquisition Times.
Publication TypeJournal Article
Year of Publication2016
AuthorsGrkovski M, Schwartz J, Gönen M, Schöder H, Lee NY, Carlin SD, Zanzonico PB, Humm JL, Nehmeh SA
JournalJ Nucl Med
Volume57
Issue3
Pagination334-41
Date Published2016 Mar
ISSN1535-5667
KeywordsAlgorithms, Animals, Carcinoma, Squamous Cell, Cohort Studies, Colorectal Neoplasms, Head and Neck Neoplasms, HT29 Cells, Humans, Hypoxia, Image Processing, Computer-Assisted, Misonidazole, Neoplasm Transplantation, Perfusion, Radionuclide Imaging, Radiopharmaceuticals, Rats, Reproducibility of Results, Retrospective Studies, ROC Curve
Abstract

UNLABELLED: (18)F-fluoromisonidazole dynamic PET (dPET) is used to identify tumor hypoxia noninvasively. Its routine clinical implementation, however, has been hampered by the long acquisition times required. We investigated the feasibility of kinetic modeling using shortened acquisition times in (18)F-fluoromisonidazole dPET, with the goal of expediting the clinical implementation of (18)F-fluoromisonidazole dPET protocols.

METHODS: Six patients with squamous cell carcinoma of the head and neck and 10 HT29 colorectal carcinoma-bearing nude rats were studied. In addition to an (18)F-FDG PET scan, each patient underwent a 45-min (18)F-fluoromisonidazole dPET scan, followed by 10-min acquisitions at 96 ± 4 and 163 ± 17 min after injection. Ninety-minute (18)F-fluoromisonidazole dPET scans were acquired in animals. Intratumor voxels were classified into 4 clusters based on their kinetic behavior using k-means clustering. Kinetic modeling was performed using the foregoing full datasets (FD) and repeated for each of 2 shortened datasets corresponding to the first approximately 100 min (SD1; patients only) or the first 45 min (SD2) of dPET data. The kinetic rate constants (KRCs) as calculated with a 2-compartment model for both SD1 and SD2 were compared with those derived from FD by correlation (Pearson), regression (Passing-Bablok), deviation (Bland-Altman), and classification (area-under-the-receiver-operating characteristic curve) analyses. Simulations were performed to assess uncertainties due to statistical noise.

RESULTS: Strong correlation (r ≥ 0.75, P < 0.001) existed between all KRCs deduced from both SD1 and SD2, and from FD. Significant differences between KRCs were found only for FD-SD2 correlations in patient studies. K1 and k3 were reproducible to within approximately 6% and approximately 30% (FD-SD1; patients) and approximately 4% and approximately 75% (FD-SD2; animals). Area-under-the-receiver-operating characteristic curve values for classification of patient clusters as hypoxic, using a tumor-to-blood ratio greater than 1.2, were 0.91 (SD1) and 0.86 (SD2). The percentage SD in estimating K1 and k3 from 45-min shortened datasets due to noise was less than 1% and between 2% and 12%, respectively.

CONCLUSION: Using single-session 45-min shortened (18)F-fluoromisonidazole dPET datasets appears to be adequate for the identification of intratumor regions of hypoxia. However, k3 was significantly overestimated in the clinical cohort. Further studies are necessary to evaluate the clinical significance of differences between the results as calculated from full and shortened datasets.

DOI10.2967/jnumed.115.160168
Alternate JournalJ Nucl Med
PubMed ID26609178
PubMed Central IDPMC4977990
Grant List5U01CA157442 / CA / NCI NIH HHS / United States
5R01CA157770-04 / CA / NCI NIH HHS / United States
R01 CA238392 / CA / NCI NIH HHS / United States
U01 CA157442 / CA / NCI NIH HHS / United States
R01 CA157770 / CA / NCI NIH HHS / United States
P30 CA008748 / CA / NCI NIH HHS / United States

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065