4.3 Article

Reproducibility of 18F-fluoromisonidazole intratumour distribution in non-small cell lung cancer

Journal

EJNMMI RESEARCH
Volume 6, Issue -, Pages -

Publisher

SPRINGER
DOI: 10.1186/s13550-016-0210-y

Keywords

Non-small cell lung cancer; Hypoxia; F-18-fluoromisonidazole; Reproducibility; Quantification

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Background: Hypoxic tumours exhibit increased resistance to radiation, chemical, and immune therapies. F-18-fluoromisonidazole (FMISO) positron emission tomography (PET) is a non-invasive, quantitative imaging technique used to evaluate the presence and spatial distribution of tumour hypoxia. To facilitate the use of FMISO PET for identification of individuals likely to benefit from hypoxia-targeted treatments, we investigated the reproducibility of FMISO PET spatiotemporal intratumour distribution in patients with non-small cell lung cancer (NSCLC). Methods: Ten patients underwent F-18-fluorodeoxyglucose (FDG) PET/CT scans, followed by two FMISO PET/CT scans 1-2 days apart. Nineteen lesions in total were segmented from co-registered FDG PET image sets. Volumes of interest were also defined on normal contralateral lung and subscapularis muscle. The Pearson correlation coefficient r was calculated for mean standardized uptake values (SUV) within investigated volumes of interest and for voxels within tumour volumes (r(TV)). The reproducibility of FMISO voxelwise distribution, SUV- and tumour-to-blood ratio (TBR)-derived indices was assessed using correlation and Bland-Altman analyses. Results: The SUVmax, SUVmean, TBRmax, and TBRmean were highly correlated (r >= 0.87, p < 0.001) and were reproducible to within 10-15 %. The mean r(TV) was 0.84 +/- 0.10.77 % of voxels identified as hypoxic on one FMISO scan were confirmed as such on the other FMISO scan. Mean voxelwise differences between TBR values as calculated from pooled data including all lesions were 0.9 +/- 10.8 %. Conclusions: High reproducibility of FMISO intratumour distribution in NSCLC patients was observed, facilitating its use in determining the topology of the hypoxic tumour sub-volumes for dose escalation, in patient stratification strategies for hypoxia-targeted therapies, and in monitoring response to therapeutic interventions.

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