title: Quantitative assessment of perirectal tumor infiltration with dynamic contrast-enhanced multi-detector row CT in rectal cancer.
abstract: OBJECTIVE
  To evaluate the efficacy of discriminant function analysis of perirectal tumor infiltration with dynamic contrast-enhanced 64-detector row CT in rectal cancer.
  
  
  METHODS
  Forty-nine patients with rectal cancer underwent dynamic contrast-enhanced CT. A total of 96 axial CT slices containing the tumors were evaluated. The 96 images were separated into two groups with or without perirectal tumor infiltration based on pathological findings. The discriminant function was set-up using CT density differences between the mass and the adjacent perirectal tissue within 5 mm from the mass at 20 and 40 s as independent variables. The results of the discriminant function analysis were compared to those of CT morphology and pathology.
  
  
  RESULTS
  CT morphological diagnosis was accurate on 71.9% (69/96) of the slices with 82.5% sensitivity and 64.3% specificity. Discriminant function analysis correctly identified 88.5% (85/96) of the slices with 85.0% sensitivity and 91.1% specificity. Overstaging occurred significantly more (P<0.05) on morphological analysis (20.8%, 20/96) than discriminant function analysis (5.2%, 5/96) of the CT slices.
  
  
  CONCLUSIONS
  Discriminant function analysis of dynamic contrast-enhanced CT improves the diagnostic accuracy and specificity of perirectal tumor infiltration in rectal cancer.
authors.affiliation: Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, China.
authors.forename: Can-Hui
authors.initials: CH
authors.lastname: Sun
authors.forename: Shi-Ting
authors.initials: ST
authors.lastname: Feng
authors.forename: Ping
authors.initials: P
authors.lastname: Xiao
authors.forename: Zhen-Peng
authors.initials: ZP
authors.lastname: Peng
authors.forename: Margaret H
authors.initials: MH
authors.lastname: Pui
authors.forename: Xue-Hua
authors.initials: XH
authors.lastname: Li
authors.forename: Zi-Ping
authors.initials: ZP
authors.lastname: Li
authors.forename: Quan-Fei
authors.initials: QF
authors.lastname: Meng
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D003287:Contrast Media; D016002:Discriminant Analysis; D005260:Female; D006801:Humans; D007472:Iohexol / Q000031:analogs & derivatives; D008297:Male; D008875:Middle Aged; D009361:Neoplasm Invasiveness; D011857:Radiographic Image Interpretation, Computer-Assisted; D012004:Rectal Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D003287:Contrast Media; D007472:Iohexol; C038192:iopromide