Differentiation of malignant tumours from granulomas by using dynamic [18F]-fluoro-L-α-methyltyrosine positron emission tomography

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Abstract

Background: Previous clinical studies have revealed the potential of [18F]-fluoro-L-α-methyltyrosine (18F-FAMT) for the differential diagnosis of malignant tumours from sarcoidosis. However, one concern regarding the differential diagnosis with 18F-FAMT is the possibility of false negatives given the small absolute uptake of 18F-FAMT that has been observed in some malignant tumours. The aim of this study was to evaluate a usefulness of dynamic 18F-FAMT positron emission tomography (PET) for differentiating malignant tumours from granulomas. Methods: Rats bearing both granulomas (Mycobacterium bovis bacillus Calmette-Guérin (BCG)-induced) and tumours (C6 glioma cell-induced) underwent dynamic 2-deoxy-2-[18F]-fluoro-D-glucose (18F-FDG) PET and 18F-FAMT PET for 120 min on consecutive days. Time-activity curves, static images, mean standardized uptake values (SUVs) and the SUV ratios (SUVRs; calculated by dividing SUV at each time point by that of 2 min after injection) were assessed. Conclusions: Dynamic 18F-FAMT and SUVR analysis might compensate for the current limitations and help in improving the diagnostic accuracy of 18F-FAMT. Results: In tumours, 18F-FAMT showed a shoulder peak immediately after the initial distribution followed by gradual clearance compared with granulomas. Although the mean SUV in the tumours (1.00 ± 0.10) was significantly higher than that in the granulomas (0.88 ± 0.12), a large overlap was observed. In contrast, the SUVR was markedly higher in tumours than in granulomas (50 min/2 min, 0.72 ± 0.06 and 0.56 ± 0.05, respectively) with no overlap. The dynamic patterns, SUVR, and mean SUV of 18F-FDG in the granulomas were comparable to those in the tumours.

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Yamaguchi, A., Hanaoka, H., Fujisawa, Y., Zhao, S., Suzue, K., Morita, A., … Iida, Y. (2015). Differentiation of malignant tumours from granulomas by using dynamic [18F]-fluoro-L-α-methyltyrosine positron emission tomography. EJNMMI Research, 5(1). https://doi.org/10.1186/s13550-015-0109-z

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