Reproducibility of 18F-FDG and 3′-deoxy-3′- 18F-fluorothymidine PET tumor volume measurements

Abstract

The objective of this study was to establish the repeatability and reproducibility limits of several volume-related PET image-derived indices - namely tumor volume (TV), mean standardized uptake value, total glycolytic volume (TGV), and total proliferative volume (TPV) - relative to those of maximum standardized uptake value (SUVmax), commonly used in clinical practice. Methods: Fixed and adaptive thresholding, fuzzy C-means, and fuzzy locally adaptive Bayesian methodology were considered for TV delineation. Double-baseline 18F-FDG (17 lesions, 14 esophageal cancer patients) and 3′-deoxy-3′-18F-fluorothymidine (18F-FLT) (12 lesions, 9 breast cancer patients) PET scans, acquired at a mean interval of 4 d and before any treatment, were used for reproducibility evaluation. The repeatability of each method was evaluated for the same datasets and compared with manual delineation. Results: A negligible variability of less than 5% was measured for all segmentation approaches in comparison to manual delineation (5%-35%). SUVmax reproducibility levels were similar to others previously reported, with a mean percentage difference of 1.8% ± 16.7% and -0.9% ± 14.9% for the 18F-FDG and 18F-FLT lesions, respectively. The best TV, TGV, and TPV reproducibility limits ranged from -21% to 31% and -30% to 37% for 18F-FDG and 18F-FLT images, respectively, whereas the worst reproducibility limits ranged from -90% to 73% and -68% to 52%, respectively. Conclusion: The reproducibility of estimating TV, mean standardized uptake value, and derived TGV and TPV was found to vary among segmentation algorithms. Some differences between 18F-FDG and 18F-FLT scans were observed, mainly because of differences in overall image quality. The smaller reproducibility limits for volume-derived image indices were similar to those for SUVmax, suggesting that the use of appropriate delineation tools should allow the determination of tumor functional volumes in PET images in a repeatable and reproducible fashion. Copyright © 2010 by the Society of Nuclear Medicine, Inc.