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The role of positron emission tomography and combined positron emission tomography with computed tomography in staging and response assessment in patients with non-Hodgkin’s lymphoma. Part II: Response evaluation


Authors: T. Papajík 1;  M. Mysliveček 2;  E. Buriánková 2;  M. Skopalová 3;  A. Malán 4;  V. Koza 5;  H. Mociková 6;  M. Trněný 6;  P. Koranda 2;  K. Indrák 1
Authors‘ workplace: Hemato-onkologická klinika FNO a LF UP v Olomouci 1;  Klinika nukleární medicíny FNOL a LF UP v Olomouci 2;  PET centrum Nemocnice na Homolce 3;  Oddělení nukleární medicíny FN Plzeň 4;  Hematologicko-onkologické oddělení FN Plzeň 5;  I. interní klinika VFN Praha 6
Published in: Transfuze Hematol. dnes,15, 2009, No. 3, p. 158-168.
Category: Comprehensive Reports, Original Papers, Case Reports

Overview

2-[fluorin-18] fluoro-2-deoxy-D-glucose (18F-FDG) positron emission tomography (PET) and combined 18F-FDG PET and computed tomography (CT) scanning have emerged as a promising imaging modality in the evaluation of lymphoma. Both modalities have been shown to be important in response assessment of non-Hodgkin’s lymphoma (NHL), especially in diffuse large B-cell lymphoma (DLBCL). 18F-FDG PET and 18F-FDG PET/CT improves the accuracy of restaging of NHL over that of CT alone and 18F-FDG PET has been recently incorporated in the revised response criteria for malignant lymphoma. The independent prognostic value of early or interim 18F-FDG PET for DLBCL has been established and should be a useful tool to modify ineffective therapy in high-risk PET-positive cases. The role and prognostic impact of 18F-FDG PET therapy response evaluation in other types of lymphomas is unclear. Some non-neoplastic conditions (sarcoidosis, tuberculosis, fungal infections, inflammation, tissue reparation, etc.) may be a source of “false-positive” 18F-FDG PET scans and integrated PET-CT system can help to improve the specificity of the findings and may contribute to better lesion characterization.

Key words:
18F-FDG PET, PET/CT, lymphoma, response to therapy


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