Evaluating Imaging Biomarkers of Acquired Resistance to Targeted EGFR Therapy in Xenograft Models of Human Head and Neck Squamous Cell Carcinoma.

Background: Overexpression of EGFR is a negative prognostic factor in head and neck squamous cell carcinoma (HNSCC). Patients with HNSCC who respond to EGFR-targeted tyrosine kinase inhibitors (TKIs) eventually develop acquired resistance. Strategies to identify HNSCC patients likely to benefit from EGFR-targeted therapies, together with biomarkers of treatment response, would have clinical value. Methods: Functional MRI and 18F-FDG PET were used to visualize and quantify imaging biomarkers associated with drug response within size-matched EGFR TKI-resistant CAL 27 (CALR) and sensitive (CALS) HNSCC xenografts in vivo, and pathological correlates sought. Results: Intrinsic susceptibility, oxygen-enhanced and dynamic contrast-enhanced MRI revealed significantly slower baseline R2∗ , lower hyperoxia-induced ΔR2∗ and volume transfer constant Ktrans in the CALR tumors which were associated with significantly lower Hoechst 33342 uptake and greater pimonidazole-adduct formation. There was no difference in oxygen-induced ΔR1 or water diffusivity between the CALR and CALS xenografts. PET revealed significantly higher relative uptake of 18F-FDG in the CALR cohort, which was associated with significantly greater Glut-1 expression. Conclusions: CALR xenografts established from HNSCC cells resistant to EGFR TKIs are more hypoxic, poorly perfused and glycolytic than sensitive CALS tumors. MRI combined with PET can be used to non-invasively assess HNSCC response/resistance to EGFR inhibition

Pre-clinical quantitative imaging and mouse-specific dosimetry for In-111-labelled radiotracers

Cancer Research UK and Engineering and Physical Sciences Research Council support to the Cancer Imaging Centre at The Institute of Cancer Research (ICR) and the Royal Marsden Hospital NHS Foundation Trust (RMH) in association with Medical Research Council and Department of Health C1060/A10334, C1060/A16464

Double scatter simulation using the polarized Klein-Nishina formula

In this work, we introduce a new scatter simulation algorithm where the probability of having double scatter occurrences is calculated by the polarized Klein-Nishina formula. During the evaluation, we illustrate when the use of the polarized Klein-Nishina formula becomes important.The whole implementation is based on the STIR (Software for Tomographic Image Reconstruction) library