title: Whole-organ perfusion of the pancreas using dynamic volume CT in patients with primary pancreas carcinoma: acquisition technique, post-processing and initial results.
abstract: The purpose of this study was to evaluate a whole-organ perfusion protocol of the pancreas in patients with primary pancreas carcinoma and to analyse perfusion differences between normal and diseased pancreatic tissue. Thirty patients with primary pancreatic malignancy were imaged on a 320-slice CT unit. Twenty-nine cancers were histologically proven. CT data acquisition was started manually after contrast-material injection (8 ml/s, 350 mg iodine/ml) and dynamic density measurements in the right ventricle. After image registration, perfusion was determined with the gradient-relationship technique and volume regions-of-interest were defined for perfusion measurements. Contrast time-density curves and perfusion maps were generated. Statistical analysis was performed using the Kolmogorov-Smirnov test for analysis of normal distribution and Kruskal-Wallis test (nonparametric ANOVA) with Bonferroni correction for multiple stacked comparisons. In all 30 patients the entire pancreas was imaged, and registration could be completed in all cases. Perfusion of pancreatic carcinomas was significantly lower than of normal pancreatic tissue (P < 0.001) and could be visualized on colored perfusion maps. The 320-slice CT allows complete dynamic visualization of the pancreas and enables calculation of whole-organ perfusion maps. Perfusion imaging carries the potential to improve detection of pancreatic cancers due to the perfusion differences.
authors.affiliation: Department of Radiology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany. sonja.kandel@charite.de
authors.forename: Sonja
authors.initials: S
authors.lastname: Kandel
authors.forename: Christian
authors.initials: C
authors.lastname: Kloeters
authors.forename: Henning
authors.initials: H
authors.lastname: Meyer
authors.forename: Patrick
authors.initials: P
authors.lastname: Hein
authors.forename: Andreas
authors.initials: A
authors.lastname: Hilbig
authors.forename: Patrik
authors.initials: P
authors.lastname: Rogalla
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D002277:Carcinoma / Q000175:diagnosis / Q000000981:diagnostic imaging*; D003952:Diagnostic Imaging / Q000379:methods; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007511:Ischemia / Q000473:pathology; D008297:Male; D008875:Middle Aged; D010179:Pancreas / Q000000981:diagnostic imaging* / Q000473:pathology; D010190:Pancreatic Neoplasms / Q000175:diagnosis / Q000000981:diagnostic imaging*; D010477:Perfusion; D013997:Time Factors; D014057:Tomography, X-Ray Computed / Q000379:methods*