Positron emission tomography: Malignant cells present an increased glucose
consumption compared to normal pancreatic tissue. Positron emission tomogra
phy with F-18 fluoro - D-deoxyglucose is a new imaging tool to in vivo asse
ss the amount of glucose metabolism. This method provides metabolic informa
tion on tumors rather than morphological information.
Methods: In most PET centers a static emission scan of the upper abdomen is
performed 45 - 60 minutes after intravenous administration of the radiotra
cer. To obtain quantitative parameter an additional transmission scan is ne
cessary to correct for attenuation. Today, both visual analysis and semiqua
ntitative parameters of glucose consumption as the Standardized Uptake Valu
e (SUV) are used for image interpretation. To allow coregistration of the m
etabolic PET images and morphological imaging tools as CT or MRI external m
arkers may be used. Following exact reorientation both the metabolic inform
ation (PET) and the morphologic information (MRI/CT) can be merged in one 3
D data set (image fusion).
Results: In our series of patients the sensitivity for PET to detect pancre
atic cancer was 85%, the specificity 84%. False negative results were obtai
ned in patients with hyperglycemia, false positive results in patients with
chronic active pancreatitis. Excluding hyperglycemic patients the sensitiv
ity for PET increased to 98%. In a sample statistics of 305 euglycemic pati
ents sensitivity, specificity and accuracy were 92%, 79%, and 87%, respecti
vely. Image fusion of metabolic (PET) and morphologic data (MRI/CT) can hel
p to better localize the focus of increased glucose consumption demonstrate
d with PET and to differentiate multifocal cancer from lymph node metastase
s.
Conclusion: (18)FDG PET is a feasible diagnostic modality to differentiate
benign and malignant pancreatic masses when morphological imaging is equivo
cal. Image fusion of PET and CT or MRI can combine the advantages of both m
odalities in one image - detailed anatomic information combined with accura
te metabolic data.