4.3 Article

Whole tumor kinetics analysis of 18F-fluoromisonidazole dynamic PET scans of non-small cell lung cancer patients, and correlations with perfusion CT blood flow

期刊

EJNMMI RESEARCH
卷 8, 期 -, 页码 -

出版社

SPRINGER
DOI: 10.1186/s13550-018-0430-4

关键词

FMISO; NSCLC; Dynamic PET; Kinetics analysis; Perfusion CT

资金

  1. National Institute for Health Research (NIHR)/Health Education England (HEE) Clinical Lectureship [ICA-CL-2016-02-009]
  2. NIHR
  3. Cancer Research UK Clinician Scientist Awards [C34326/A13092, C34326/A19590]
  4. Cancer Research UK Career Development Fellowship [C17203]
  5. University of Oxford
  6. Cancer Research UK [C34326/A15163]
  7. Oxford ECMC
  8. CRUK EPSRC Oxford Cancer Imaging Centre
  9. CRUK Oxford Centre
  10. CTRad
  11. Novartis
  12. Medical Research Council
  13. Cancer Research UK
  14. EPSRC [EP/N026993/1, EP/M000133/1, EP/P023509/1] Funding Source: UKRI
  15. National Institutes of Health Research (NIHR) [ICA-CL-2016-02-009] Funding Source: National Institutes of Health Research (NIHR)

向作者/读者索取更多资源

Background: To determine the relative abilities of compartment models to describe time-courses of F-18-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-1 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-1 from PET kinetic models in addition to FMISO uptake levels. Results: 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-1 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-1 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). Conclusions: Time-courses of whole tumor FMISO uptake by advanced stage NSCLC are described best by an irreversible three-tissue compartment model. The K-1 values obtained from fits of the irreversible three-tissue model correlated strongly with independent blood flow measurements obtained from perfusion CT (r = 0.81).

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