1. Quantitative and Simplified Analysis of 11C-Erlotinib Studies
- Author
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Otto S. Hoekstra, Adriaan A. Lammertsma, Idris Bahce, Charlotte Voorhoeve, Maqsood Yaqub, Robert C. Schuit, Egbert F. Smit, N. Harry Hendrikse, Ronald Boellaard, Albert D. Windhorst, Radiology and nuclear medicine, Amsterdam Neuroscience - Brain Imaging, NCA - Brain imaging technology, CCA - Disease profiling, CCA - Imaging, ICaR - Heartfailure and pulmonary arterial hypertension, Pulmonary medicine, ICaR - Ischemia and repair, Clinical pharmacology and pharmacy, CCA - Quality of life, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Neurodegeneration, and MOVE Research Institute
- Subjects
Adult ,Male ,Lung Neoplasms ,Metabolite ,Models, Biological ,030218 nuclear medicine & medical imaging ,Erlotinib Hydrochloride ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Text mining ,Pharmacokinetics ,Carcinoma, Non-Small-Cell Lung ,medicine ,Humans ,Whole Body Imaging ,Radiology, Nuclear Medicine and imaging ,Epidermal growth factor receptor ,Aged ,Whole blood ,biology ,business.industry ,Biological Transport ,Middle Aged ,Kinetics ,chemistry ,030220 oncology & carcinogenesis ,biology.protein ,Female ,Erlotinib ,Akaike information criterion ,Nuclear medicine ,business ,Perfusion ,medicine.drug - Abstract
UNLABELLED Quantitative assessment of (11)C-erlotinib uptake may be useful in selecting non-small cell lung cancer (NSCLC) patients for erlotinib therapy. The purpose of this study was to find the optimal pharmacokinetic model for quantification of uptake and to evaluate various simplified methods for routine analysis of (11)C-erlotinib uptake in NSCLC patients. METHODS Dynamic (15)O-H2O and (11)C-erlotinib scans were obtained in 17 NSCLC patients, 8 with and 9 without an activating epidermal growth factor receptor mutation (exon 19 deletion or exon 21-point mutation). Ten of these subjects also underwent a retest scan on the same day. (11)C-erlotinib data were analyzed using single-tissue and 2-tissue-irreversible and -reversible (2T4k) plasma input models. In addition, several advanced models that account for uptake of radiolabeled metabolites were evaluated, including a variation of the 2T4k model without correcting for metabolite fractions in plasma (2T4k-WP). Finally, simplified methods were evaluated-that is, SUVs and tumor-to-blood ratios (TBR)-for several scan intervals. RESULTS Tumor kinetics were best described using the 2T4k-WP model yielding optimal fits to the data (Akaike preference, 43.6%), acceptable test-retest variability (12%), no dependence on perfusion changes, and the expected clinical group separation (P
- Published
- 2016