McGowan, Daniel R, Skwarski, Michael, Papiez, Bartlomiej W, Macpherson, Ruth E, Gleeson, Fergus V, Schnabel, Julia A, Higgins, Geoff S and Fenwick, John D
(2018)
Whole tumor kinetics analysis of <SUP>18</SUP>F-fluoromisonidazole dynamic PET scans of non-small cell lung cancer patients, and correlations with perfusion CT blood flow.
EJNMMI RESEARCH, 8 (1).
73-.
Text
Whole tumor kinetics analysis of 18F-fluoromisonidazole dynamic PET scans of non-small cell lung cancer patients, and correlations with perfusion CT blood flow.pdf - Published version Download (1MB) |
Abstract
<h4>Background</h4>To determine the relative abilities of compartment models to describe time-courses of 18F-fluoromisonidazole (FMISO) tumor uptake in patients with advanced stage non-small cell lung cancer (NSCLC) imaged using dynamic positron emission tomography (dPET), and study correlations between values of the blood flow-related parameter K<sub>1</sub> obtained from fits of the models and an independent blood flow measure obtained from perfusion CT (pCT). NSCLC patients had a 45-min dynamic FMISO PET/CT scan followed by two static PET/CT acquisitions at 2 and 4-h post-injection. Perfusion CT scanning was then performed consisting of a 45-s cine CT. Reversible and irreversible two-, three- and four-tissue compartment models were fitted to 30 time-activity-curves (TACs) obtained for 15 whole tumor structures in 9 patients, each imaged twice. Descriptions of the TACs provided by the models were compared using the Akaike and Bayesian information criteria (AIC and BIC) and leave-one-out cross-validation. The precision with which fitted model parameters estimated ground-truth uptake kinetics was determined using statistical simulation techniques. Blood flow from pCT was correlated with K<sub>1</sub> from PET kinetic models in addition to FMISO uptake levels.<h4>Results</h4>An irreversible three-tissue compartment model provided the best description of whole tumor FMISO uptake time-courses according to AIC, BIC, and cross-validation scores totaled across the TACs. The simulation study indicated that this model also provided more precise estimates of FMISO uptake kinetics than other two- and three-tissue models. The K<sub>1</sub> values obtained from fits of the irreversible three-tissue model correlated strongly with independent blood flow measurements obtained from pCT (Pearson r coefficient = 0.81). The correlation from the irreversible three-tissue model (r = 0.81) was stronger than that from than K<sub>1</sub> values obtained from fits of a two-tissue compartment model (r = 0.68), or FMISO uptake levels in static images taken at time-points from tracer injection through to 4 h later (maximum at 2 min, r = 0.70).<h4>Conclusions</h4>Time-courses of whole tumor FMISO uptake by advanced stage NSCLC are described best by an irreversible three-tissue compartment model. The K<sub>1</sub> values obtained from fits of the irreversible three-tissue model correlated strongly with independent blood flow measurements obtained from perfusion CT (r = 0.81).
Item Type: | Article |
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Uncontrolled Keywords: | FMISO, NSCLC, Dynamic PET, Kinetics analysis, Perfusion CT |
Depositing User: | Symplectic Admin |
Date Deposited: | 27 Sep 2018 11:40 |
Last Modified: | 13 Oct 2023 11:02 |
DOI: | 10.1186/s13550-018-0430-4 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3026820 |