title: CT attenuation of unilocular pancreatic cystic lesions to differentiate pseudocysts from mucin-containing cysts.
abstract: BACKGROUND
  There is extensive overlap among the imaging characteristics of pseudocyst, mucinous cystic neoplasm (MCN) and side branch intraductal papillary mucinous neoplasm (IPMN) on CT images.
  
  
  OBJECTIVE
  The purpose of this study was to evaluate the usefulness of attenuation measurement in differentiating pseudocysts from MCN and IPMN of pancreas on CT images.
  
  
  METHODS
  Seventy-five pathologically proven unilocular pancreatic cysts including 31 pseudocysts, 29 MCN and 15 IPMN imaged with multidetector computed tomography (MDCT) before resection were evaluated.
  
  
  METHODS
  Attenuation values were measured by conventional region of interest (ROI) method.
  
  
  METHODS
  Attenuation values (in Hounsfield unit, HU) were compared between the cyst pathologies. Receiver operating characteristic (ROC) curve analysis was performed to obtain the best attenuation threshold between mucin-containing cysts and pseudocysts. Correlation between attenuation values and cyst size was assessed.
  
  
  RESULTS
  Maximum transaxial diameters of pseudocysts (4.5 cm), MCNs (3.7 cm) and IPMNs (4.0 cm) were comparable (P=0.919). Mean attenuation was 18.9 HU, 13.0 HU and 11.4 HU for pseudocyst, MCNs and IPMNs, respectively. Attenuations were significantly higher in pseudocysts versus mucin-containing (MCN+IPMN) cysts (P=0.001) and comparable between MCNs and IPMNs (P=0.390). ROC curve showed 14.5 HU the best cut-off (accuracy: 73.5%) for differentiating pseudocysts from mucin-containing cysts (P<0.001). Pancreatic cyst attenuation measurement did not significantly correlate with cyst size (r=-0.03, P=0.772).
  
  
  CONCLUSIONS
  Attenuation measurement may help in differentiating pseudocysts from unilocular mucin-containing simple cysts of the pancreas on CT images.
authors: Department of Radiology, Northwestern Memorial Hospital, Northwestern University-Feinberg School of Medicine, Chicago, IL, USA.
authors: Hamid
authors: H
authors: Chalian
authors: Hüseyin Gürkan
authors: HG
authors: Töre
authors: Frank H
authors: FH
authors: Miller
authors: Vahid
authors: V
authors: Yaghmai
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D021441:Carcinoma, Pancreatic Ductal / Q000000981:diagnostic imaging* / Q000473:pathology; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009077:Mucins / Q000378:metabolism*; D061330:Multidetector Computed Tomography / Q000379:methods*; D010181:Pancreatic Cyst / Q000000981:diagnostic imaging* / Q000378:metabolism / Q000473:pathology; D010190:Pancreatic Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D010192:Pancreatic Pseudocyst / Q000000981:diagnostic imaging*; D012189:Retrospective Studies; D055815:Young Adult
chemical_list: D009077:Mucins