Search

Your search keyword '"Cheze-Le Rest, C."' showing total 205 results
Start Over Author "Cheze-Le Rest, C."
205 results on '"Cheze-Le Rest, C."'

27. Comparison of Tumor Uptake Heterogeneity Characterization Between Static and Parametric 18F-FDG PET Images in Non-Small Cell Lung Cancer

Author

Tixier, F., Vriens, D., Cheze-Le Rest, C., Hatt, M., Disselhorst, J.A., Oyen, W.J.G., Geus-Oei, L.F. de, Visser, E.P., Visvikis, D., Tixier, F., Vriens, D., Cheze-Le Rest, C., Hatt, M., Disselhorst, J.A., Oyen, W.J.G., Geus-Oei, L.F. de, Visser, E.P., and Visvikis, D.

Abstract

Contains fulltext : 172176.pdf (Publisher’s version ) (Closed access), (18)F-FDG PET is well established in the field of oncology for diagnosis and staging purposes and is increasingly being used to assess therapeutic response and prognosis. Many quantitative indices can be used to characterize tumors on (18)F-FDG PET images, such as SUVmax, metabolically active tumor volume (MATV), total lesion glycolysis, and, more recently, the proposed intratumor uptake heterogeneity features. Although most PET data considered within this context concern the analysis of activity distribution using images obtained from a single static acquisition, parametric images generated from dynamic acquisitions and reflecting radiotracer kinetics may provide additional information. The purpose of this study was to quantify differences between volumetry, uptake, and heterogeneity features extracted from static and parametric PET images of non-small cell lung carcinoma (NSCLC) in order to provide insight on the potential added value of parametric images. METHODS: Dynamic (18)F-FDG PET/CT was performed on 20 therapy-naive NSCLC patients for whom primary surgical resection was planned. Both static and parametric PET images were analyzed, with quantitative parameters (MATV, SUVmax, SUVmean, heterogeneity) being extracted from the segmented tumors. Differences were investigated using Spearman rank correlation and Bland-Altman analysis. RESULTS: MATV was slightly smaller on static images (-2% +/- 7%), but the difference was not significant (P = 0.14). All derived parameters, including those characterizing tumor functional heterogeneity, correlated strongly between static and parametric images (r = 0.70-0.98, P

Published
2016

Catalog

Books, media, physical & digital resources
See catalog results