title: Computed tomography perfusion analysis of pancreatic carcinoma.
abstract: OBJECTIVE
  The purpose of this study was to evaluate CT perfusion of pancreatic carcinomas using the Patlak model for assessing perfusion, permeability, and blood volume.
  
  
  METHODS
  A total of 25 patients with pancreatic carcinoma were examined prospectively with a 64-slice computed tomography (CT) using a dynamic sequence after intravenous injection of 80-mL contrast material (370 mg/mL; flow rate, 5 mL/s). Eighty-kilovolt (peak) perfusion acquisitions were evaluated for estimating perfusion parameters for carcinoma and healthy tissue using a 2-compartment model (Patlak model).
  
  
  RESULTS
  Twenty patients had hypodense tumors; in 5 patients, the tumor could not be delineated in contrast-enhanced CT. All carcinomas could be identified clearly in the color-coded perfusion maps. Perfusion, permeability, and blood volume values were significant lower in pancreatic carcinomas compared to healthy pancreatic tissue (0.27 ± 0.20 vs 0.89 ± 0.19 min, P < 0.0001; 0.43 ± 0.20 vs 0.75 ± 0.16 × 0.5 min, P < 0.0001; and 38.9 ± 20.7 vs 117.8 ± 46.9 mL/100 mL, P < 0.0001).
  
  
  CONCLUSIONS
  Computed tomographic perfusion of the pancreas using a 2-compartment perfusion model is feasible. Color-coded perfusion maps could be a helpful tool to delineate pancreatic carcinomas even if they are not visible in contrast-enhanced CT.
authors.affiliation: Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany. miriam.klauss@med.uni-heidelberg.de
authors.forename: Miriam
authors.initials: M
authors.lastname: Klauss
authors.forename: Wolfram
authors.initials: W
authors.lastname: Stiller
authors.forename: Franziska
authors.initials: F
authors.lastname: Fritz
authors.forename: Meinhard
authors.initials: M
authors.lastname: Kieser
authors.forename: Jens
authors.initials: J
authors.lastname: Werner
authors.forename: Hans-Ulrich
authors.initials: HU
authors.lastname: Kauczor
authors.forename: Lars
authors.initials: L
authors.lastname: Grenacher
mesh_terms: D000328:Adult; D000368:Aged; D003287:Contrast Media; D005260:Female; D006801:Humans; D007472:Iohexol / Q000031:analogs & derivatives; D008297:Male; D008875:Middle Aged; D010180:Pancreatectomy; D010190:Pancreatic Neoplasms / Q000098:blood supply* / Q000000981:diagnostic imaging* / Q000601:surgery; D011446:Prospective Studies; D011857:Radiographic Image Interpretation, Computer-Assisted; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D003287:Contrast Media; D007472:Iohexol; C038192:iopromide